355 def close(self): -356 """ -357 Close the file handle -358 """ -359 if not self._filehandle.closed: -360 self.messages = 0 -361 self.current_message = 0 -362 self._filehandle.close() -363 self.closed = self._filehandle.closed +@@ -1133,40 +1148,40 @@370 def close(self): +371 """ +372 Close the file handle +373 """ +374 if not self._filehandle.closed: +375 self.messages = 0 +376 self.current_message = 0 +377 self._filehandle.close() +378 self.closed = self._filehandle.closedParameters
366 def read(self, size=None): -367 """ -368 Read size amount of GRIB2 messages from the current position. -369 -370 If no argument is given, then size is None and all messages are returned from -371 the current position in the file. This read method follows the behavior of -372 Python's builtin open() function, but whereas that operates on units of bytes, -373 we operate on units of GRIB2 messages. -374 -375 Parameters -376 ---------- -377 **`size : int, optional`** -378 The number of GRIB2 messages to read from the current position. If no argument is -379 give, the default value is `None` and remainder of the file is read. -380 -381 Returns -382 ------- -383 `Grib2Message` object when size = 1 or a `list` of Grib2Messages when size > 1. -384 """ -385 if size is not None and size < 0: -386 size = None -387 if size is None or size > 1: -388 start = self.tell() -389 stop = self.messages if size is None else start+size -390 if size is None: -391 self.current_message = self.messages-1 -392 else: -393 self.current_message += size -394 return self._index['msg'][slice(start,stop,1)] -395 elif size == 1: -396 self.current_message += 1 -397 return self._index['msg'][self.current_message] -398 else: -399 None +@@ -1201,18 +1216,18 @@381 def read(self, size=None): +382 """ +383 Read size amount of GRIB2 messages from the current position. +384 +385 If no argument is given, then size is None and all messages are returned from +386 the current position in the file. This read method follows the behavior of +387 Python's builtin open() function, but whereas that operates on units of bytes, +388 we operate on units of GRIB2 messages. +389 +390 Parameters +391 ---------- +392 **`size : int, optional`** +393 The number of GRIB2 messages to read from the current position. If no argument is +394 give, the default value is `None` and remainder of the file is read. +395 +396 Returns +397 ------- +398 `Grib2Message` object when size = 1 or a `list` of Grib2Messages when size > 1. +399 """ +400 if size is not None and size < 0: +401 size = None +402 if size is None or size > 1: +403 start = self.tell() +404 stop = self.messages if size is None else start+size +405 if size is None: +406 self.current_message = self.messages-1 +407 else: +408 self.current_message += size +409 return self._index['msg'][slice(start,stop,1)] +410 elif size == 1: +411 self.current_message += 1 +412 return self._index['msg'][self.current_message] +413 else: +414 NoneReturns
402 def seek(self, pos): -403 """ -404 Set the position within the file in units of GRIB2 messages. -405 -406 Parameters -407 ---------- -408 **`pos : int`** -409 The GRIB2 Message number to set the file pointer to. -410 """ -411 if self._hasindex: -412 self._filehandle.seek(self._index['offset'][pos]) -413 self.current_message = pos +@@ -1237,11 +1252,11 @@417 def seek(self, pos): +418 """ +419 Set the position within the file in units of GRIB2 messages. +420 +421 Parameters +422 ---------- +423 **`pos : int`** +424 The GRIB2 Message number to set the file pointer to. +425 """ +426 if self._hasindex: +427 self._filehandle.seek(self._index['offset'][pos]) +428 self.current_message = posParameters
416 def tell(self): -417 """ -418 Returns the position of the file in units of GRIB2 Messages. -419 """ -420 return self.current_message +@@ -1261,18 +1276,18 @@431 def tell(self): +432 """ +433 Returns the position of the file in units of GRIB2 Messages. +434 """ +435 return self.current_messageParameters
423 def select(self, **kwargs): -424 """ -425 Select GRIB2 messages by `Grib2Message` attributes. -426 """ -427 # TODO: Added ability to process multiple values for each keyword (attribute) -428 idxs = [] -429 nkeys = len(kwargs.keys()) -430 for k,v in kwargs.items(): -431 for m in self._index['msg']: -432 if hasattr(m,k) and getattr(m,k) == v: idxs.append(m._msgnum) -433 idxs = np.array(idxs,dtype=np.int32) -434 return [self._index['msg'][i] for i in [ii[0] for ii in collections.Counter(idxs).most_common() if ii[1] == nkeys]] +@@ -1292,41 +1307,41 @@438 def select(self, **kwargs): +439 """ +440 Select GRIB2 messages by `Grib2Message` attributes. +441 """ +442 # TODO: Added ability to process multiple values for each keyword (attribute) +443 idxs = [] +444 nkeys = len(kwargs.keys()) +445 for k,v in kwargs.items(): +446 for m in self._index['msg']: +447 if hasattr(m,k) and getattr(m,k) == v: idxs.append(m._msgnum) +448 idxs = np.array(idxs,dtype=np.int32) +449 return [self._index['msg'][i] for i in [ii[0] for ii in collections.Counter(idxs).most_common() if ii[1] == nkeys]]Parameters
437 def write(self, msg): -438 """ -439 Writes GRIB2 message object to file. -440 -441 Parameters -442 ---------- -443 **`msg : Grib2Message or sequence of Grib2Messages`** -444 GRIB2 message objects to write to file. -445 """ -446 if isinstance(msg,list): -447 for m in msg: -448 self.write(m) -449 return -450 -451 if issubclass(msg.__class__,_Grib2Message): -452 if hasattr(msg,'_msg'): -453 self._filehandle.write(msg._msg) -454 else: -455 if msg._signature != msg._generate_signature(): -456 msg.pack() -457 self._filehandle.write(msg._msg) -458 else: -459 if hasattr(msg._data,'filehandle'): -460 msg._data.filehandle.seek(msg._data.offset) -461 self._filehandle.write(msg._data.filehandle.read(msg.section0[-1])) -462 else: -463 msg.pack() -464 self._filehandle.write(msg._msg) -465 self.flush() -466 self.size = os.path.getsize(self.name) -467 self._filehandle.seek(self.size-msg.section0[-1]) -468 self._build_index() -469 else: -470 raise TypeError("msg must be a Grib2Message object.") -471 return +@@ -1351,11 +1366,11 @@452 def write(self, msg): +453 """ +454 Writes GRIB2 message object to file. +455 +456 Parameters +457 ---------- +458 **`msg : Grib2Message or sequence of Grib2Messages`** +459 GRIB2 message objects to write to file. +460 """ +461 if isinstance(msg,list): +462 for m in msg: +463 self.write(m) +464 return +465 +466 if issubclass(msg.__class__,_Grib2Message): +467 if hasattr(msg,'_msg'): +468 self._filehandle.write(msg._msg) +469 else: +470 if msg._signature != msg._generate_signature(): +471 msg.pack() +472 self._filehandle.write(msg._msg) +473 else: +474 if hasattr(msg._data,'filehandle'): +475 msg._data.filehandle.seek(msg._data.offset) +476 self._filehandle.write(msg._data.filehandle.read(msg.section0[-1])) +477 else: +478 msg.pack() +479 self._filehandle.write(msg._msg) +480 self.flush() +481 self.size = os.path.getsize(self.name) +482 self._filehandle.seek(self.size-msg.section0[-1]) +483 self._build_index() +484 else: +485 raise TypeError("msg must be a Grib2Message object.") +486 returnParameters
474 def flush(self): -475 """ -476 Flush the file object buffer. -477 """ -478 self._filehandle.flush() +@@ -1375,20 +1390,20 @@489 def flush(self): +490 """ +491 Flush the file object buffer. +492 """ +493 self._filehandle.flush()Parameters
481 def levels_by_var(self, name): -482 """ -483 Return a list of level strings given a variable shortName. -484 -485 Parameters -486 ---------- -487 **`name : str`** -488 Grib2Message variable shortName -489 -490 Returns -491 ------- -492 A list of strings of unique level strings. -493 """ -494 return list(sorted(set([msg.level for msg in self.select(shortName=name)]))) +@@ -1417,20 +1432,20 @@496 def levels_by_var(self, name): +497 """ +498 Return a list of level strings given a variable shortName. +499 +500 Parameters +501 ---------- +502 **`name : str`** +503 Grib2Message variable shortName +504 +505 Returns +506 ------- +507 A list of strings of unique level strings. +508 """ +509 return list(sorted(set([msg.level for msg in self.select(shortName=name)])))Returns
497 def vars_by_level(self, level): -498 """ -499 Return a list of variable shortName strings given a level. -500 -501 Parameters -502 ---------- -503 **`level : str`** -504 Grib2Message variable level -505 -506 Returns -507 ------- -508 A list of strings of variable shortName strings. -509 """ -510 return list(sorted(set([msg.shortName for msg in self.select(level=level)]))) +@@ -1460,73 +1475,73 @@512 def vars_by_level(self, level): +513 """ +514 Return a list of variable shortName strings given a level. +515 +516 Parameters +517 ---------- +518 **`level : str`** +519 Grib2Message variable level +520 +521 Returns +522 ------- +523 A list of strings of variable shortName strings. +524 """ +525 return list(sorted(set([msg.shortName for msg in self.select(level=level)])))Returns
513class Grib2Message: -514 """ -515 Creation class for a GRIB2 message. -516 """ -517 def __new__(self, section0: np.array = np.array([struct.unpack('>I',b'GRIB')[0],0,0,2,0]), -518 section1: np.array = np.zeros((13),dtype=np.int64), -519 section2: bytes = None, -520 section3: np.array = None, -521 section4: np.array = None, -522 section5: np.array = None, *args, **kwargs): -523 -524 if np.all(section1==0): -525 section1[5:11] = datetime.datetime.utcfromtimestamp(0).timetuple()[:6] -526 -527 bases = list() -528 if section3 is None: -529 if 'gdtn' in kwargs.keys(): -530 gdtn = kwargs['gdtn'] -531 Gdt = templates.gdt_class_by_gdtn(gdtn) -532 bases.append(Gdt) -533 section3 = np.zeros((Gdt._len+5),dtype=np.int64) -534 section3[4] = gdtn -535 else: -536 raise ValueError("Must provide GRIB2 Grid Definition Template Number or section 3 array") -537 else: -538 gdtn = section3[4] -539 Gdt = templates.gdt_class_by_gdtn(gdtn) -540 bases.append(Gdt) +@@ -1547,606 +1562,606 @@528class Grib2Message: +529 """ +530 Creation class for a GRIB2 message. +531 """ +532 def __new__(self, section0: np.array = np.array([struct.unpack('>I',b'GRIB')[0],0,0,2,0]), +533 section1: np.array = np.zeros((13),dtype=np.int64), +534 section2: bytes = None, +535 section3: np.array = None, +536 section4: np.array = None, +537 section5: np.array = None, *args, **kwargs): +538 +539 if np.all(section1==0): +540 section1[5:11] = datetime.datetime.utcfromtimestamp(0).timetuple()[:6] 541 -542 if section4 is None: -543 if 'pdtn' in kwargs.keys(): -544 pdtn = kwargs['pdtn'] -545 Pdt = templates.pdt_class_by_pdtn(pdtn) -546 bases.append(Pdt) -547 section4 = np.zeros((Pdt._len+2),dtype=np.int64) -548 section4[1] = pdtn -549 else: -550 raise ValueError("Must provide GRIB2 Production Definition Template Number or section 4 array") -551 else: -552 pdtn = section4[1] -553 Pdt = templates.pdt_class_by_pdtn(pdtn) -554 bases.append(Pdt) -555 -556 if section5 is None: -557 if 'drtn' in kwargs.keys(): -558 drtn = kwargs['drtn'] -559 Drt = templates.drt_class_by_drtn(drtn) -560 bases.append(Drt) -561 section5 = np.zeros((Drt._len+2),dtype=np.int64) -562 section5[1] = drtn -563 else: -564 raise ValueError("Must provide GRIB2 Data Representation Template Number or section 5 array") -565 else: -566 drtn = section5[1] -567 Drt = templates.drt_class_by_drtn(drtn) -568 bases.append(Drt) -569 -570 # attempt to use existing Msg class if it has already been made with gdtn,pdtn,drtn combo -571 try: -572 Msg = _msg_class_store[f"{gdtn}:{pdtn}:{drtn}"] -573 except KeyError: -574 @dataclass(init=False, repr=False) -575 class Msg(_Grib2Message, *bases): -576 pass -577 _msg_class_store[f"{gdtn}:{pdtn}:{drtn}"] = Msg -578 -579 return Msg(section0, section1, section2, section3, section4, section5, *args) +542 bases = list() +543 if section3 is None: +544 if 'gdtn' in kwargs.keys(): +545 gdtn = kwargs['gdtn'] +546 Gdt = templates.gdt_class_by_gdtn(gdtn) +547 bases.append(Gdt) +548 section3 = np.zeros((Gdt._len+5),dtype=np.int64) +549 section3[4] = gdtn +550 else: +551 raise ValueError("Must provide GRIB2 Grid Definition Template Number or section 3 array") +552 else: +553 gdtn = section3[4] +554 Gdt = templates.gdt_class_by_gdtn(gdtn) +555 bases.append(Gdt) +556 +557 if section4 is None: +558 if 'pdtn' in kwargs.keys(): +559 pdtn = kwargs['pdtn'] +560 Pdt = templates.pdt_class_by_pdtn(pdtn) +561 bases.append(Pdt) +562 section4 = np.zeros((Pdt._len+2),dtype=np.int64) +563 section4[1] = pdtn +564 else: +565 raise ValueError("Must provide GRIB2 Production Definition Template Number or section 4 array") +566 else: +567 pdtn = section4[1] +568 Pdt = templates.pdt_class_by_pdtn(pdtn) +569 bases.append(Pdt) +570 +571 if section5 is None: +572 if 'drtn' in kwargs.keys(): +573 drtn = kwargs['drtn'] +574 Drt = templates.drt_class_by_drtn(drtn) +575 bases.append(Drt) +576 section5 = np.zeros((Drt._len+2),dtype=np.int64) +577 section5[1] = drtn +578 else: +579 raise ValueError("Must provide GRIB2 Data Representation Template Number or section 5 array") +580 else: +581 drtn = section5[1] +582 Drt = templates.drt_class_by_drtn(drtn) +583 bases.append(Drt) +584 +585 # attempt to use existing Msg class if it has already been made with gdtn,pdtn,drtn combo +586 try: +587 Msg = _msg_class_store[f"{gdtn}:{pdtn}:{drtn}"] +588 except KeyError: +589 @dataclass(init=False, repr=False) +590 class Msg(_Grib2Message, *bases): +591 pass +592 _msg_class_store[f"{gdtn}:{pdtn}:{drtn}"] = Msg +593 +594 return Msg(section0, section1, section2, section3, section4, section5, *args)Returns
582@dataclass - 583class _Grib2Message: - 584 """GRIB2 Message base class""" - 585 # GRIB2 Sections - 586 section0: np.array = field(init=True,repr=False) - 587 section1: np.array = field(init=True,repr=False) - 588 section2: bytes = field(init=True,repr=False) - 589 section3: np.array = field(init=True,repr=False) - 590 section4: np.array = field(init=True,repr=False) - 591 section5: np.array = field(init=True,repr=False) - 592 bitMapFlag: templates.Grib2Metadata = field(init=True,repr=False,default=255) - 593 - 594 # Section 0 looked up attributes - 595 indicatorSection: np.array = field(init=False,repr=False,default=templates.IndicatorSection()) - 596 discipline: templates.Grib2Metadata = field(init=False,repr=False,default=templates.Discipline()) - 597 - 598 # Section 1 looked up attributes - 599 identificationSection: np.array = field(init=False,repr=False,default=templates.IdentificationSection()) - 600 originatingCenter: templates.Grib2Metadata = field(init=False,repr=False,default=templates.OriginatingCenter()) - 601 originatingSubCenter: templates.Grib2Metadata = field(init=False,repr=False,default=templates.OriginatingSubCenter()) - 602 masterTableInfo: templates.Grib2Metadata = field(init=False,repr=False,default=templates.MasterTableInfo()) - 603 localTableInfo: templates.Grib2Metadata = field(init=False,repr=False,default=templates.LocalTableInfo()) - 604 significanceOfReferenceTime: templates.Grib2Metadata = field(init=False,repr=False,default=templates.SignificanceOfReferenceTime()) - 605 year: int = field(init=False,repr=False,default=templates.Year()) - 606 month: int = field(init=False,repr=False,default=templates.Month()) - 607 day: int = field(init=False,repr=False,default=templates.Day()) - 608 hour: int = field(init=False,repr=False,default=templates.Hour()) - 609 minute: int = field(init=False,repr=False,default=templates.Minute()) - 610 second: int = field(init=False,repr=False,default=templates.Second()) - 611 refDate: datetime.datetime = field(init=False,repr=False,default=templates.RefDate()) - 612 productionStatus: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ProductionStatus()) - 613 typeOfData: templates.Grib2Metadata = field(init=False,repr=False,default=templates.TypeOfData()) - 614 - 615 @property - 616 def _isNDFD(self): - 617 """Check if GRIB2 message is from NWS NDFD""" - 618 return np.all(self.section1[0:2]==[8,65535]) - 619 - 620 # Section 3 looked up common attributes. Other looked up attributes are available according - 621 # to the Grid Definition Template. - 622 gridDefinitionSection: np.array = field(init=False,repr=False,default=templates.GridDefinitionSection()) - 623 sourceOfGridDefinition: int = field(init=False,repr=False,default=templates.SourceOfGridDefinition()) - 624 numberOfDataPoints: int = field(init=False,repr=False,default=templates.NumberOfDataPoints()) - 625 interpretationOfListOfNumbers: templates.Grib2Metadata = field(init=False,repr=False,default=templates.InterpretationOfListOfNumbers()) - 626 gridDefinitionTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.GridDefinitionTemplateNumber()) - 627 gridDefinitionTemplate: list = field(init=False,repr=False,default=templates.GridDefinitionTemplate()) - 628 _earthparams: dict = field(init=False,repr=False,default=templates.EarthParams()) - 629 _dxsign: float = field(init=False,repr=False,default=templates.DxSign()) - 630 _dysign: float = field(init=False,repr=False,default=templates.DySign()) - 631 _llscalefactor: float = field(init=False,repr=False,default=templates.LLScaleFactor()) - 632 _lldivisor: float = field(init=False,repr=False,default=templates.LLDivisor()) - 633 _xydivisor: float = field(init=False,repr=False,default=templates.XYDivisor()) - 634 shapeOfEarth: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ShapeOfEarth()) - 635 earthShape: str = field(init=False,repr=False,default=templates.EarthShape()) - 636 earthRadius: float = field(init=False,repr=False,default=templates.EarthRadius()) - 637 earthMajorAxis: float = field(init=False,repr=False,default=templates.EarthMajorAxis()) - 638 earthMinorAxis: float = field(init=False,repr=False,default=templates.EarthMinorAxis()) - 639 resolutionAndComponentFlags: list = field(init=False,repr=False,default=templates.ResolutionAndComponentFlags()) - 640 ny: int = field(init=False,repr=False,default=templates.Ny()) - 641 nx: int = field(init=False,repr=False,default=templates.Nx()) - 642 scanModeFlags: list = field(init=False,repr=False,default=templates.ScanModeFlags()) - 643 projParameters: dict = field(init=False,repr=False,default=templates.ProjParameters()) - 644 - 645 # Section 4 attributes. Listed here are "extra" or "helper" attrs that use metadata from - 646 # the given PDT, but not a formal part of the PDT. - 647 productDefinitionTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ProductDefinitionTemplateNumber()) - 648 productDefinitionTemplate: np.array = field(init=False,repr=False,default=templates.ProductDefinitionTemplate()) - 649 _varinfo: list = field(init=False, repr=False, default=templates.VarInfo()) - 650 _fixedsfc1info: list = field(init=False, repr=False, default=templates.FixedSfc1Info()) - 651 _fixedsfc2info: list = field(init=False, repr=False, default=templates.FixedSfc2Info()) - 652 fullName: str = field(init=False, repr=False, default=templates.FullName()) - 653 units: str = field(init=False, repr=False, default=templates.Units()) - 654 shortName: str = field(init=False, repr=False, default=templates.ShortName()) - 655 leadTime: datetime.timedelta = field(init=False,repr=False,default=templates.LeadTime()) - 656 unitOfFirstFixedSurface: str = field(init=False,repr=False,default=templates.UnitOfFirstFixedSurface()) - 657 valueOfFirstFixedSurface: int = field(init=False,repr=False,default=templates.ValueOfFirstFixedSurface()) - 658 unitOfSecondFixedSurface: str = field(init=False,repr=False,default=templates.UnitOfSecondFixedSurface()) - 659 valueOfSecondFixedSurface: int = field(init=False,repr=False,default=templates.ValueOfSecondFixedSurface()) - 660 level: str = field(init=False, repr=False, default=templates.Level()) - 661 duration: datetime.timedelta = field(init=False,repr=False,default=templates.Duration()) - 662 validDate: datetime.datetime = field(init=False,repr=False,default=templates.ValidDate()) - 663 - 664 # Section 5 looked up common attributes. Other looked up attributes are available according - 665 # to the Data Representation Template. - 666 numberOfPackedValues: int = field(init=False,repr=False,default=templates.NumberOfPackedValues()) - 667 dataRepresentationTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.DataRepresentationTemplateNumber()) - 668 dataRepresentationTemplate: list = field(init=False,repr=False,default=templates.DataRepresentationTemplate()) - 669 typeOfValues: templates.Grib2Metadata = field(init=False,repr=False,default=templates.TypeOfValues()) - 670 - 671 - 672 def __post_init__(self): - 673 """Set some attributes after init""" - 674 self._msgnum = -1 - 675 self._deflist = None - 676 self._coordlist = None - 677 self._signature = self._generate_signature() - 678 try: - 679 self._sha1_section3 = hashlib.sha1(self.section3).hexdigest() - 680 except(TypeError): - 681 pass - 682 self.bitMapFlag = templates.Grib2Metadata(self.bitMapFlag,table='6.0') - 683 - 684 - 685 @property - 686 def gdtn(self): - 687 """Return Grid Definition Template Number""" - 688 return self.section3[4] - 689 - 690 - 691 @property - 692 def gdt(self): - 693 """Return Grid Definition Template""" - 694 return self.gridDefinitionTemplate - 695 - 696 - 697 @property - 698 def pdtn(self): - 699 """Return Product Definition Template Number""" - 700 return self.section4[1] - 701 - 702 - 703 @property - 704 def pdt(self): - 705 """Return Product Definition Template""" - 706 return self.productDefinitionTemplate - 707 - 708 - 709 @property - 710 def drtn(self): - 711 """Return Data Representation Template Number""" - 712 return self.section5[1] - 713 - 714 - 715 @property - 716 def drt(self): - 717 """Return Data Representation Template""" - 718 return self.dataRepresentationTemplate - 719 - 720 - 721 @property - 722 def pdy(self): - 723 """Return the PDY ('YYYYMMDD')""" - 724 return ''.join([str(i) for i in self.section1[5:8]]) - 725 - 726 - 727 @property - 728 def griddef(self): - 729 """Return a Grib2GridDef instance for a GRIB2 message""" - 730 return Grib2GridDef.from_section3(self.section3) - 731 - 732 - 733 def __repr__(self): - 734 info = '' - 735 for sect in [0,1,3,4,5,6]: - 736 for k,v in self.attrs_by_section(sect,values=True).items(): - 737 info += f'Section {sect}: {k} = {v}\n' - 738 return info - 739 +@@ -2903,10 +2918,10 @@597@dataclass + 598class _Grib2Message: + 599 """GRIB2 Message base class""" + 600 # GRIB2 Sections + 601 section0: np.array = field(init=True,repr=False) + 602 section1: np.array = field(init=True,repr=False) + 603 section2: bytes = field(init=True,repr=False) + 604 section3: np.array = field(init=True,repr=False) + 605 section4: np.array = field(init=True,repr=False) + 606 section5: np.array = field(init=True,repr=False) + 607 bitMapFlag: templates.Grib2Metadata = field(init=True,repr=False,default=255) + 608 + 609 # Section 0 looked up attributes + 610 indicatorSection: np.array = field(init=False,repr=False,default=templates.IndicatorSection()) + 611 discipline: templates.Grib2Metadata = field(init=False,repr=False,default=templates.Discipline()) + 612 + 613 # Section 1 looked up attributes + 614 identificationSection: np.array = field(init=False,repr=False,default=templates.IdentificationSection()) + 615 originatingCenter: templates.Grib2Metadata = field(init=False,repr=False,default=templates.OriginatingCenter()) + 616 originatingSubCenter: templates.Grib2Metadata = field(init=False,repr=False,default=templates.OriginatingSubCenter()) + 617 masterTableInfo: templates.Grib2Metadata = field(init=False,repr=False,default=templates.MasterTableInfo()) + 618 localTableInfo: templates.Grib2Metadata = field(init=False,repr=False,default=templates.LocalTableInfo()) + 619 significanceOfReferenceTime: templates.Grib2Metadata = field(init=False,repr=False,default=templates.SignificanceOfReferenceTime()) + 620 year: int = field(init=False,repr=False,default=templates.Year()) + 621 month: int = field(init=False,repr=False,default=templates.Month()) + 622 day: int = field(init=False,repr=False,default=templates.Day()) + 623 hour: int = field(init=False,repr=False,default=templates.Hour()) + 624 minute: int = field(init=False,repr=False,default=templates.Minute()) + 625 second: int = field(init=False,repr=False,default=templates.Second()) + 626 refDate: datetime.datetime = field(init=False,repr=False,default=templates.RefDate()) + 627 productionStatus: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ProductionStatus()) + 628 typeOfData: templates.Grib2Metadata = field(init=False,repr=False,default=templates.TypeOfData()) + 629 + 630 @property + 631 def _isNDFD(self): + 632 """Check if GRIB2 message is from NWS NDFD""" + 633 return np.all(self.section1[0:2]==[8,65535]) + 634 + 635 # Section 3 looked up common attributes. Other looked up attributes are available according + 636 # to the Grid Definition Template. + 637 gridDefinitionSection: np.array = field(init=False,repr=False,default=templates.GridDefinitionSection()) + 638 sourceOfGridDefinition: int = field(init=False,repr=False,default=templates.SourceOfGridDefinition()) + 639 numberOfDataPoints: int = field(init=False,repr=False,default=templates.NumberOfDataPoints()) + 640 interpretationOfListOfNumbers: templates.Grib2Metadata = field(init=False,repr=False,default=templates.InterpretationOfListOfNumbers()) + 641 gridDefinitionTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.GridDefinitionTemplateNumber()) + 642 gridDefinitionTemplate: list = field(init=False,repr=False,default=templates.GridDefinitionTemplate()) + 643 _earthparams: dict = field(init=False,repr=False,default=templates.EarthParams()) + 644 _dxsign: float = field(init=False,repr=False,default=templates.DxSign()) + 645 _dysign: float = field(init=False,repr=False,default=templates.DySign()) + 646 _llscalefactor: float = field(init=False,repr=False,default=templates.LLScaleFactor()) + 647 _lldivisor: float = field(init=False,repr=False,default=templates.LLDivisor()) + 648 _xydivisor: float = field(init=False,repr=False,default=templates.XYDivisor()) + 649 shapeOfEarth: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ShapeOfEarth()) + 650 earthShape: str = field(init=False,repr=False,default=templates.EarthShape()) + 651 earthRadius: float = field(init=False,repr=False,default=templates.EarthRadius()) + 652 earthMajorAxis: float = field(init=False,repr=False,default=templates.EarthMajorAxis()) + 653 earthMinorAxis: float = field(init=False,repr=False,default=templates.EarthMinorAxis()) + 654 resolutionAndComponentFlags: list = field(init=False,repr=False,default=templates.ResolutionAndComponentFlags()) + 655 ny: int = field(init=False,repr=False,default=templates.Ny()) + 656 nx: int = field(init=False,repr=False,default=templates.Nx()) + 657 scanModeFlags: list = field(init=False,repr=False,default=templates.ScanModeFlags()) + 658 projParameters: dict = field(init=False,repr=False,default=templates.ProjParameters()) + 659 + 660 # Section 4 attributes. Listed here are "extra" or "helper" attrs that use metadata from + 661 # the given PDT, but not a formal part of the PDT. + 662 productDefinitionTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.ProductDefinitionTemplateNumber()) + 663 productDefinitionTemplate: np.array = field(init=False,repr=False,default=templates.ProductDefinitionTemplate()) + 664 _varinfo: list = field(init=False, repr=False, default=templates.VarInfo()) + 665 _fixedsfc1info: list = field(init=False, repr=False, default=templates.FixedSfc1Info()) + 666 _fixedsfc2info: list = field(init=False, repr=False, default=templates.FixedSfc2Info()) + 667 fullName: str = field(init=False, repr=False, default=templates.FullName()) + 668 units: str = field(init=False, repr=False, default=templates.Units()) + 669 shortName: str = field(init=False, repr=False, default=templates.ShortName()) + 670 leadTime: datetime.timedelta = field(init=False,repr=False,default=templates.LeadTime()) + 671 unitOfFirstFixedSurface: str = field(init=False,repr=False,default=templates.UnitOfFirstFixedSurface()) + 672 valueOfFirstFixedSurface: int = field(init=False,repr=False,default=templates.ValueOfFirstFixedSurface()) + 673 unitOfSecondFixedSurface: str = field(init=False,repr=False,default=templates.UnitOfSecondFixedSurface()) + 674 valueOfSecondFixedSurface: int = field(init=False,repr=False,default=templates.ValueOfSecondFixedSurface()) + 675 level: str = field(init=False, repr=False, default=templates.Level()) + 676 duration: datetime.timedelta = field(init=False,repr=False,default=templates.Duration()) + 677 validDate: datetime.datetime = field(init=False,repr=False,default=templates.ValidDate()) + 678 + 679 # Section 5 looked up common attributes. Other looked up attributes are available according + 680 # to the Data Representation Template. + 681 numberOfPackedValues: int = field(init=False,repr=False,default=templates.NumberOfPackedValues()) + 682 dataRepresentationTemplateNumber: templates.Grib2Metadata = field(init=False,repr=False,default=templates.DataRepresentationTemplateNumber()) + 683 dataRepresentationTemplate: list = field(init=False,repr=False,default=templates.DataRepresentationTemplate()) + 684 typeOfValues: templates.Grib2Metadata = field(init=False,repr=False,default=templates.TypeOfValues()) + 685 + 686 + 687 def __post_init__(self): + 688 """Set some attributes after init""" + 689 self._msgnum = -1 + 690 self._deflist = None + 691 self._coordlist = None + 692 self._signature = self._generate_signature() + 693 try: + 694 self._sha1_section3 = hashlib.sha1(self.section3).hexdigest() + 695 except(TypeError): + 696 pass + 697 self.bitMapFlag = templates.Grib2Metadata(self.bitMapFlag,table='6.0') + 698 + 699 + 700 @property + 701 def gdtn(self): + 702 """Return Grid Definition Template Number""" + 703 return self.section3[4] + 704 + 705 + 706 @property + 707 def gdt(self): + 708 """Return Grid Definition Template""" + 709 return self.gridDefinitionTemplate + 710 + 711 + 712 @property + 713 def pdtn(self): + 714 """Return Product Definition Template Number""" + 715 return self.section4[1] + 716 + 717 + 718 @property + 719 def pdt(self): + 720 """Return Product Definition Template""" + 721 return self.productDefinitionTemplate + 722 + 723 + 724 @property + 725 def drtn(self): + 726 """Return Data Representation Template Number""" + 727 return self.section5[1] + 728 + 729 + 730 @property + 731 def drt(self): + 732 """Return Data Representation Template""" + 733 return self.dataRepresentationTemplate + 734 + 735 + 736 @property + 737 def pdy(self): + 738 """Return the PDY ('YYYYMMDD')""" + 739 return ''.join([str(i) for i in self.section1[5:8]]) 740 - 741 def __str__(self): - 742 return (f'{self._msgnum}:d={self.refDate}:{self.shortName}:' - 743 f'{self.fullName} ({self.units}):{self.level}:' - 744 f'{self.leadTime}') - 745 + 741 + 742 @property + 743 def griddef(self): + 744 """Return a Grib2GridDef instance for a GRIB2 message""" + 745 return Grib2GridDef.from_section3(self.section3) 746 - 747 def _generate_signature(self): - 748 """Generature SHA-1 hash string from GRIB2 integer sections""" - 749 return hashlib.sha1(np.concatenate((self.section0,self.section1, - 750 self.section3,self.section4, - 751 self.section5))).hexdigest() - 752 - 753 - 754 def attrs_by_section(self, sect, values=False): - 755 """ - 756 Provide a tuple of attribute names for the given GRIB2 section. - 757 - 758 Parameters - 759 ---------- - 760 **`sect : int`** - 761 The GRIB2 section number. - 762 - 763 **`values : bool, optional`** - 764 Optional (default is `False`) arugment to return attributes values. - 765 - 766 Returns - 767 ------- - 768 A List attribute names or Dict if `values = True`. - 769 """ - 770 if sect in {0,1,6}: - 771 attrs = templates._section_attrs[sect] - 772 elif sect in {3,4,5}: - 773 def _find_class_index(n): - 774 _key = {3:'Grid', 4:'Product', 5:'Data'} - 775 for i,c in enumerate(self.__class__.__mro__): - 776 if _key[n] in c.__name__: - 777 return i - 778 else: - 779 return [] - 780 if sys.version_info.minor <= 8: - 781 attrs = templates._section_attrs[sect]+\ - 782 [a for a in dir(self.__class__.__mro__[_find_class_index(sect)]) if not a.startswith('_')] - 783 else: - 784 attrs = templates._section_attrs[sect]+\ - 785 self.__class__.__mro__[_find_class_index(sect)]._attrs - 786 else: - 787 attrs = [] - 788 if values: - 789 return {k:getattr(self,k) for k in attrs} - 790 else: - 791 return attrs - 792 - 793 - 794 def pack(self): - 795 """ - 796 Packs GRIB2 section data into a binary message. It is the user's responsibility - 797 to populate the GRIB2 section information with appropriate metadata. - 798 """ - 799 # Create beginning of packed binary message with section 0 and 1 data. - 800 self._sections = [] - 801 self._msg,self._pos = g2clib.grib2_create(self.indicatorSection[2:4],self.identificationSection) - 802 self._sections += [0,1] - 803 - 804 # Add section 2 if present. - 805 if isinstance(self.section2,bytes) and len(self.section2) > 0: - 806 self._msg,self._pos = g2clib.grib2_addlocal(self._msg,self.section2) - 807 self._sections.append(2) + 747 + 748 def __repr__(self): + 749 info = '' + 750 for sect in [0,1,3,4,5,6]: + 751 for k,v in self.attrs_by_section(sect,values=True).items(): + 752 info += f'Section {sect}: {k} = {v}\n' + 753 return info + 754 + 755 + 756 def __str__(self): + 757 return (f'{self._msgnum}:d={self.refDate}:{self.shortName}:' + 758 f'{self.fullName} ({self.units}):{self.level}:' + 759 f'{self.leadTime}') + 760 + 761 + 762 def _generate_signature(self): + 763 """Generature SHA-1 hash string from GRIB2 integer sections""" + 764 return hashlib.sha1(np.concatenate((self.section0,self.section1, + 765 self.section3,self.section4, + 766 self.section5))).hexdigest() + 767 + 768 + 769 def attrs_by_section(self, sect, values=False): + 770 """ + 771 Provide a tuple of attribute names for the given GRIB2 section. + 772 + 773 Parameters + 774 ---------- + 775 **`sect : int`** + 776 The GRIB2 section number. + 777 + 778 **`values : bool, optional`** + 779 Optional (default is `False`) arugment to return attributes values. + 780 + 781 Returns + 782 ------- + 783 A List attribute names or Dict if `values = True`. + 784 """ + 785 if sect in {0,1,6}: + 786 attrs = templates._section_attrs[sect] + 787 elif sect in {3,4,5}: + 788 def _find_class_index(n): + 789 _key = {3:'Grid', 4:'Product', 5:'Data'} + 790 for i,c in enumerate(self.__class__.__mro__): + 791 if _key[n] in c.__name__: + 792 return i + 793 else: + 794 return [] + 795 if sys.version_info.minor <= 8: + 796 attrs = templates._section_attrs[sect]+\ + 797 [a for a in dir(self.__class__.__mro__[_find_class_index(sect)]) if not a.startswith('_')] + 798 else: + 799 attrs = templates._section_attrs[sect]+\ + 800 self.__class__.__mro__[_find_class_index(sect)]._attrs + 801 else: + 802 attrs = [] + 803 if values: + 804 return {k:getattr(self,k) for k in attrs} + 805 else: + 806 return attrs + 807 808 - 809 # Add section 3. - 810 self.section3[1] = self.nx * self.ny - 811 self._msg,self._pos = g2clib.grib2_addgrid(self._msg,self.gridDefinitionSection, - 812 self.gridDefinitionTemplate, - 813 self._deflist) - 814 self._sections.append(3) - 815 - 816 # Prepare data. - 817 field = np.copy(self.data) - 818 if self.scanModeFlags is not None: - 819 if self.scanModeFlags[3]: - 820 fieldsave = field.astype('f') # Casting makes a copy - 821 field[1::2,:] = fieldsave[1::2,::-1] - 822 fld = field.astype('f') + 809 def pack(self): + 810 """ + 811 Packs GRIB2 section data into a binary message. It is the user's responsibility + 812 to populate the GRIB2 section information with appropriate metadata. + 813 """ + 814 # Create beginning of packed binary message with section 0 and 1 data. + 815 self._sections = [] + 816 self._msg,self._pos = g2clib.grib2_create(self.indicatorSection[2:4],self.identificationSection) + 817 self._sections += [0,1] + 818 + 819 # Add section 2 if present. + 820 if isinstance(self.section2,bytes) and len(self.section2) > 0: + 821 self._msg,self._pos = g2clib.grib2_addlocal(self._msg,self.section2) + 822 self._sections.append(2) 823 - 824 # Prepare bitmap, if necessary - 825 bitmapflag = self.bitMapFlag.value - 826 if bitmapflag == 0: - 827 bmap = np.ravel(np.where(np.isnan(fld),0,1)).astype(DEFAULT_NUMPY_INT) - 828 else: - 829 bmap = None + 824 # Add section 3. + 825 self.section3[1] = self.nx * self.ny + 826 self._msg,self._pos = g2clib.grib2_addgrid(self._msg,self.gridDefinitionSection, + 827 self.gridDefinitionTemplate, + 828 self._deflist) + 829 self._sections.append(3) 830 - 831 # Prepare optional coordinate list - 832 if self._coordlist is not None: - 833 crdlist = np.array(self._coordlist,'f') - 834 else: - 835 crdlist = None - 836 - 837 # Prepare data for packing if nans are present - 838 fld = np.ravel(fld) - 839 if np.isnan(fld).any() and hasattr(self,'_missvalmap'): - 840 fld = np.where(self._missvalmap==1,self.priMissingValue,fld) - 841 fld = np.where(self._missvalmap==2,self.secMissingValue,fld) - 842 - 843 # Add sections 4, 5, 6 (if present), and 7. - 844 self._msg,self._pos = g2clib.grib2_addfield(self._msg,self.pdtn, - 845 self.productDefinitionTemplate, - 846 crdlist, - 847 self.drtn, - 848 self.dataRepresentationTemplate, - 849 fld, - 850 bitmapflag, - 851 bmap) - 852 self._sections.append(4) - 853 self._sections.append(5) - 854 if bmap is not None: self._sections.append(6) - 855 self._sections.append(7) - 856 - 857 # Finalize GRIB2 message with section 8. - 858 self._msg, self._pos = g2clib.grib2_end(self._msg) - 859 self._sections.append(8) - 860 self.section0[-1] = len(self._msg) - 861 - 862 - 863 @property - 864 def data(self) -> np.array: - 865 """ - 866 Accessing the data attribute loads data into memmory - 867 """ - 868 if not hasattr(self,'_auto_nans'): self._auto_nans = _AUTO_NANS - 869 if hasattr(self,'_data'): - 870 if self._auto_nans != _AUTO_NANS: - 871 self._data = self._ondiskarray - 872 if isinstance(self._data, Grib2MessageOnDiskArray): - 873 self._ondiskarray = self._data - 874 self._data = np.asarray(self._data) - 875 return self._data - 876 raise ValueError + 831 # Prepare data. + 832 field = np.copy(self.data) + 833 if self.scanModeFlags is not None: + 834 if self.scanModeFlags[3]: + 835 fieldsave = field.astype('f') # Casting makes a copy + 836 field[1::2,:] = fieldsave[1::2,::-1] + 837 fld = field.astype('f') + 838 + 839 # Prepare bitmap, if necessary + 840 bitmapflag = self.bitMapFlag.value + 841 if bitmapflag == 0: + 842 bmap = np.ravel(np.where(np.isnan(fld),0,1)).astype(DEFAULT_NUMPY_INT) + 843 else: + 844 bmap = None + 845 + 846 # Prepare optional coordinate list + 847 if self._coordlist is not None: + 848 crdlist = np.array(self._coordlist,'f') + 849 else: + 850 crdlist = None + 851 + 852 # Prepare data for packing if nans are present + 853 fld = np.ravel(fld) + 854 if np.isnan(fld).any() and hasattr(self,'_missvalmap'): + 855 fld = np.where(self._missvalmap==1,self.priMissingValue,fld) + 856 fld = np.where(self._missvalmap==2,self.secMissingValue,fld) + 857 + 858 # Add sections 4, 5, 6 (if present), and 7. + 859 self._msg,self._pos = g2clib.grib2_addfield(self._msg,self.pdtn, + 860 self.productDefinitionTemplate, + 861 crdlist, + 862 self.drtn, + 863 self.dataRepresentationTemplate, + 864 fld, + 865 bitmapflag, + 866 bmap) + 867 self._sections.append(4) + 868 self._sections.append(5) + 869 if bmap is not None: self._sections.append(6) + 870 self._sections.append(7) + 871 + 872 # Finalize GRIB2 message with section 8. + 873 self._msg, self._pos = g2clib.grib2_end(self._msg) + 874 self._sections.append(8) + 875 self.section0[-1] = len(self._msg) + 876 877 - 878 @data.setter - 879 def data(self, data): - 880 if not isinstance(data, np.ndarray): - 881 raise ValueError('Grib2Message data only supports numpy arrays') - 882 self._data = data - 883 - 884 - 885 def __getitem__(self, item): - 886 return self.data[item] - 887 - 888 - 889 def __setitem__(self, item): - 890 raise NotImplementedError('assignment of data not supported via setitem') - 891 + 878 @property + 879 def data(self) -> np.array: + 880 """ + 881 Accessing the data attribute loads data into memmory + 882 """ + 883 if not hasattr(self,'_auto_nans'): self._auto_nans = _AUTO_NANS + 884 if hasattr(self,'_data'): + 885 if self._auto_nans != _AUTO_NANS: + 886 self._data = self._ondiskarray + 887 if isinstance(self._data, Grib2MessageOnDiskArray): + 888 self._ondiskarray = self._data + 889 self._data = np.asarray(self._data) + 890 return self._data + 891 raise ValueError 892 - 893 def latlons(self, *args, **kwrgs): - 894 """Alias for `grib2io.Grib2Message.grid` method""" - 895 return self.grid(*args, **kwrgs) - 896 - 897 - 898 def grid(self, unrotate=True): - 899 """ - 900 Return lats,lons (in degrees) of grid. - 901 - 902 Currently can handle reg. lat/lon,cglobal Gaussian, mercator, stereographic, - 903 lambert conformal, albers equal-area, space-view and azimuthal equidistant grids. - 904 - 905 Parameters - 906 ---------- - 907 **`unrotate : bool`** - 908 If `True` [DEFAULT], and grid is rotated lat/lon, then unrotate the grid, - 909 otherwise `False`, do not. - 910 - 911 Returns - 912 ------- - 913 **`lats, lons : numpy.ndarray`** - 914 Returns two numpy.ndarrays with dtype=numpy.float32 of grid latitudes and - 915 longitudes in units of degrees. - 916 """ - 917 if self._sha1_section3 in _latlon_datastore.keys(): - 918 return (_latlon_datastore[self._sha1_section3]['latitude'], - 919 _latlon_datastore[self._sha1_section3]['longitude']) - 920 else: - 921 _latlon_datastore[self._sha1_section3] = {} - 922 gdtn = self.gridDefinitionTemplateNumber.value - 923 gdtmpl = self.gridDefinitionTemplate - 924 reggrid = self.gridDefinitionSection[2] == 0 # This means regular 2-d grid - 925 if gdtn == 0: - 926 # Regular lat/lon grid - 927 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 928 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint - 929 dlon = self.gridlengthXDirection - 930 dlat = self.gridlengthYDirection - 931 if lon2 < lon1 and dlon < 0: lon1 = -lon1 - 932 lats = np.linspace(lat1,lat2,self.ny) - 933 if reggrid: - 934 lons = np.linspace(lon1,lon2,self.nx) - 935 else: - 936 lons = np.linspace(lon1,lon2,self.ny*2) - 937 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. - 938 elif gdtn == 1: # Rotated Lat/Lon grid - 939 pj = pyproj.Proj(self.projParameters) - 940 lat1,lon1 = self.latitudeFirstGridpoint,self.longitudeFirstGridpoint - 941 lat2,lon2 = self.latitudeLastGridpoint,self.longitudeLastGridpoint - 942 if lon1 > 180.0: lon1 -= 360.0 - 943 if lon2 > 180.0: lon2 -= 360.0 - 944 lats = np.linspace(lat1,lat2,self.ny) - 945 lons = np.linspace(lon1,lon2,self.nx) - 946 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. - 947 if unrotate: - 948 from grib2io.utils import rotated_grid - 949 lats,lons = rotated_grid.unrotate(lats,lons,self.anglePoleRotation, - 950 self.latitudeSouthernPole, - 951 self.longitudeSouthernPole) - 952 elif gdtn == 40: # Gaussian grid (only works for global!) - 953 from utils.gauss_grids import gaussian_latitudes - 954 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 955 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint - 956 nlats = self.ny - 957 if not reggrid: # Reduced Gaussian grid. - 958 nlons = 2*nlats - 959 dlon = 360./nlons - 960 else: - 961 nlons = self.nx - 962 dlon = self.gridlengthXDirection - 963 lons = np.arange(lon1,lon2+dlon,dlon) - 964 # Compute Gaussian lats (north to south) - 965 lats = gaussian_latitudes(nlats) - 966 if lat1 < lat2: # reverse them if necessary - 967 lats = lats[::-1] - 968 lons,lats = np.meshgrid(lons,lats) - 969 elif gdtn in {10,20,30,31,110}: - 970 # Mercator, Lambert Conformal, Stereographic, Albers Equal Area, Azimuthal Equidistant - 971 dx,dy = self.gridlengthXDirection, self.gridlengthYDirection - 972 lon1,lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 973 pj = pyproj.Proj(self.projParameters) - 974 llcrnrx, llcrnry = pj(lon1,lat1) - 975 x = llcrnrx+dx*np.arange(self.nx) - 976 y = llcrnry+dy*np.arange(self.ny) - 977 x,y = np.meshgrid(x, y) - 978 lons,lats = pj(x, y, inverse=True) - 979 elif gdtn == 90: - 980 # Satellite Projection - 981 dx = self.gridlengthXDirection - 982 dy = self.gridlengthYDirection - 983 pj = pyproj.Proj(self.projParameters) - 984 x = dx*np.indices((self.ny,self.nx),'f')[1,:,:] - 985 x -= 0.5*x.max() - 986 y = dy*np.indices((self.ny,self.nx),'f')[0,:,:] - 987 y -= 0.5*y.max() - 988 lons,lats = pj(x,y,inverse=True) - 989 # Set lons,lats to 1.e30 where undefined - 990 abslons = np.fabs(lons) - 991 abslats = np.fabs(lats) - 992 lons = np.where(abslons < 1.e20, lons, 1.e30) - 993 lats = np.where(abslats < 1.e20, lats, 1.e30) - 994 elif gdtn == 32769: - 995 # Special NCEP Grid, Rotated Lat/Lon, Arakawa E-Grid (Non-Staggered) - 996 from grib2io.utils import arakawa_rotated_grid - 997 from grib2io.utils.rotated_grid import DEG2RAD - 998 di, dj = 0.0, 0.0 - 999 do_180 = False -1000 idir = 1 if self.scanModeFlags[0] == 0 else -1 -1001 jdir = -1 if self.scanModeFlags[1] == 0 else 1 -1002 grid_oriented = 0 if self.resolutionAndComponentFlags[4] == 0 else 1 -1003 do_rot = 1 if grid_oriented == 1 else 0 -1004 la1 = self.latitudeFirstGridpoint -1005 lo1 = self.longitudeFirstGridpoint -1006 clon = self.longitudeCenterGridpoint -1007 clat = self.latitudeCenterGridpoint -1008 lasp = clat - 90.0 -1009 losp = clon -1010 llat, llon = arakawa_rotated_grid.ll2rot(la1,lo1,lasp,losp) -1011 la2, lo2 = arakawa_rotated_grid.rot2ll(-llat,-llon,lasp,losp) -1012 rlat = -llat -1013 rlon = -llon -1014 if self.nx == 1: -1015 di = 0.0 -1016 elif idir == 1: -1017 ti = rlon -1018 while ti < llon: -1019 ti += 360.0 -1020 di = (ti - llon)/float(self.nx-1) -1021 else: -1022 ti = llon -1023 while ti < rlon: -1024 ti += 360.0 -1025 di = (ti - rlon)/float(self.nx-1) -1026 if self.ny == 1: -1027 dj = 0.0 -1028 else: -1029 dj = (rlat - llat)/float(self.ny-1) -1030 if dj < 0.0: -1031 dj = -dj -1032 if idir == 1: -1033 if llon > rlon: -1034 llon -= 360.0 -1035 if llon < 0 and rlon > 0: -1036 do_180 = True -1037 else: -1038 if rlon > llon: -1039 rlon -= 360.0 -1040 if rlon < 0 and llon > 0: -1041 do_180 = True -1042 xlat1d = llat + (np.arange(self.ny)*jdir*dj) -1043 xlon1d = llon + (np.arange(self.nx)*idir*di) -1044 xlons, xlats = np.meshgrid(xlon1d,xlat1d) -1045 rot2ll_vectorized = np.vectorize(arakawa_rotated_grid.rot2ll) -1046 lats, lons = rot2ll_vectorized(xlats,xlons,lasp,losp) -1047 if do_180: -1048 lons = np.where(lons>180.0,lons-360.0,lons) -1049 vector_rotation_angles_vectorized = np.vectorize(arakawa_rotated_grid.vector_rotation_angles) -1050 rots = vector_rotation_angles_vectorized(lats, lons, clat, losp, xlats) -1051 _latlon_datastore[self._sha1_section3]['vector_rotation_angles'] = rots -1052 del xlat1d, xlon1d, xlats, xlons -1053 else: -1054 raise ValueError('Unsupported grid') -1055 -1056 _latlon_datastore[self._sha1_section3]['latitude'] = lats -1057 _latlon_datastore[self._sha1_section3]['longitude'] = lons -1058 -1059 return lats, lons -1060 -1061 -1062 def map_keys(self): -1063 """ -1064 Returns an unpacked data grid where integer grid values are replaced with -1065 a string.in which the numeric value is a representation of. -1066 -1067 These types of fields are cateogrical or classifications where data values -1068 do not represent an observable or predictable physical quantity. An example -1069 of such a field field would be [Dominant Precipitation Type - -1070 DPTYPE](https://www.nco.ncep.noaa.gov/pmb/docs/grib2/grib2_doc/grib2_table4-201.shtml) -1071 -1072 Returns -1073 ------- -1074 **`numpy.ndarray`** of string values per element. -1075 """ -1076 hold_auto_nans = _AUTO_NANS -1077 set_auto_nans(False) -1078 if (np.all(self.section1[0:2]==[7,14]) and self.shortName == 'PWTHER') or \ -1079 (np.all(self.section1[0:2]==[8,65535]) and self.shortName == 'WX'): -1080 keys = utils.decode_wx_strings(self.section2) -1081 if hasattr(self,'priMissingValue') and self.priMissingValue not in [None,0]: -1082 keys[int(self.priMissingValue)] = 'Missing' -1083 if hasattr(self,'secMissingValue') and self.secMissingValue not in [None,0]: -1084 keys[int(self.secMissingValue)] = 'Missing' -1085 u,inv = np.unique(self.data,return_inverse=True) -1086 fld = np.array([keys[x] for x in u])[inv].reshape(self.data.shape) -1087 else: -1088 # For data whose units are defined in a code table (i.e. classification or mask) -1089 tblname = re.findall(r'\d\.\d+',self.units,re.IGNORECASE)[0] -1090 fld = self.data.astype(np.int32).astype(str) -1091 tbl = tables.get_table(tblname,expand=True) -1092 for val in np.unique(fld): -1093 fld = np.where(fld==val,tbl[val],fld) -1094 set_auto_nans(hold_auto_nans) -1095 return fld -1096 -1097 -1098 def to_bytes(self, validate=True): -1099 """ -1100 Return packed GRIB2 message in bytes format. -1101 -1102 This will be Useful for exporting data in non-file formats. For example, -1103 can be used to output grib data directly to S3 using the boto3 client -1104 without the need to write a temporary file to upload first. -1105 -1106 Parameters -1107 ---------- -1108 **`validate : bool, optional`** -1109 If `True` (DEFAULT), validates first/last four bytes for proper -1110 formatting, else returns None. If `False`, message is output as is. + 893 @data.setter + 894 def data(self, data): + 895 if not isinstance(data, np.ndarray): + 896 raise ValueError('Grib2Message data only supports numpy arrays') + 897 self._data = data + 898 + 899 + 900 def __getitem__(self, item): + 901 return self.data[item] + 902 + 903 + 904 def __setitem__(self, item): + 905 raise NotImplementedError('assignment of data not supported via setitem') + 906 + 907 + 908 def latlons(self, *args, **kwrgs): + 909 """Alias for `grib2io.Grib2Message.grid` method""" + 910 return self.grid(*args, **kwrgs) + 911 + 912 + 913 def grid(self, unrotate=True): + 914 """ + 915 Return lats,lons (in degrees) of grid. + 916 + 917 Currently can handle reg. lat/lon,cglobal Gaussian, mercator, stereographic, + 918 lambert conformal, albers equal-area, space-view and azimuthal equidistant grids. + 919 + 920 Parameters + 921 ---------- + 922 **`unrotate : bool`** + 923 If `True` [DEFAULT], and grid is rotated lat/lon, then unrotate the grid, + 924 otherwise `False`, do not. + 925 + 926 Returns + 927 ------- + 928 **`lats, lons : numpy.ndarray`** + 929 Returns two numpy.ndarrays with dtype=numpy.float32 of grid latitudes and + 930 longitudes in units of degrees. + 931 """ + 932 if self._sha1_section3 in _latlon_datastore.keys(): + 933 return (_latlon_datastore[self._sha1_section3]['latitude'], + 934 _latlon_datastore[self._sha1_section3]['longitude']) + 935 gdtn = self.gridDefinitionTemplateNumber.value + 936 gdtmpl = self.gridDefinitionTemplate + 937 reggrid = self.gridDefinitionSection[2] == 0 # This means regular 2-d grid + 938 if gdtn == 0: + 939 # Regular lat/lon grid + 940 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 941 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint + 942 dlon = self.gridlengthXDirection + 943 dlat = self.gridlengthYDirection + 944 if lon2 < lon1 and dlon < 0: lon1 = -lon1 + 945 lats = np.linspace(lat1,lat2,self.ny) + 946 if reggrid: + 947 lons = np.linspace(lon1,lon2,self.nx) + 948 else: + 949 lons = np.linspace(lon1,lon2,self.ny*2) + 950 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. + 951 elif gdtn == 1: # Rotated Lat/Lon grid + 952 pj = pyproj.Proj(self.projParameters) + 953 lat1,lon1 = self.latitudeFirstGridpoint,self.longitudeFirstGridpoint + 954 lat2,lon2 = self.latitudeLastGridpoint,self.longitudeLastGridpoint + 955 if lon1 > 180.0: lon1 -= 360.0 + 956 if lon2 > 180.0: lon2 -= 360.0 + 957 lats = np.linspace(lat1,lat2,self.ny) + 958 lons = np.linspace(lon1,lon2,self.nx) + 959 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. + 960 if unrotate: + 961 from grib2io.utils import rotated_grid + 962 lats,lons = rotated_grid.unrotate(lats,lons,self.anglePoleRotation, + 963 self.latitudeSouthernPole, + 964 self.longitudeSouthernPole) + 965 elif gdtn == 40: # Gaussian grid (only works for global!) + 966 from grib2io.utils.gauss_grid import gaussian_latitudes + 967 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 968 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint + 969 nlats = self.ny + 970 if not reggrid: # Reduced Gaussian grid. + 971 nlons = 2*nlats + 972 dlon = 360./nlons + 973 else: + 974 nlons = self.nx + 975 dlon = self.gridlengthXDirection + 976 lons = np.arange(lon1,lon2+dlon,dlon) + 977 # Compute Gaussian lats (north to south) + 978 lats = gaussian_latitudes(nlats) + 979 if lat1 < lat2: # reverse them if necessary + 980 lats = lats[::-1] + 981 lons,lats = np.meshgrid(lons,lats) + 982 elif gdtn in {10,20,30,31,110}: + 983 # Mercator, Lambert Conformal, Stereographic, Albers Equal Area, Azimuthal Equidistant + 984 dx,dy = self.gridlengthXDirection, self.gridlengthYDirection + 985 lon1,lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 986 pj = pyproj.Proj(self.projParameters) + 987 llcrnrx, llcrnry = pj(lon1,lat1) + 988 x = llcrnrx+dx*np.arange(self.nx) + 989 y = llcrnry+dy*np.arange(self.ny) + 990 x,y = np.meshgrid(x, y) + 991 lons,lats = pj(x, y, inverse=True) + 992 elif gdtn == 90: + 993 # Satellite Projection + 994 dx = self.gridlengthXDirection + 995 dy = self.gridlengthYDirection + 996 pj = pyproj.Proj(self.projParameters) + 997 x = dx*np.indices((self.ny,self.nx),'f')[1,:,:] + 998 x -= 0.5*x.max() + 999 y = dy*np.indices((self.ny,self.nx),'f')[0,:,:] +1000 y -= 0.5*y.max() +1001 lons,lats = pj(x,y,inverse=True) +1002 # Set lons,lats to 1.e30 where undefined +1003 abslons = np.fabs(lons) +1004 abslats = np.fabs(lats) +1005 lons = np.where(abslons < 1.e20, lons, 1.e30) +1006 lats = np.where(abslats < 1.e20, lats, 1.e30) +1007 elif gdtn == 32769: +1008 # Special NCEP Grid, Rotated Lat/Lon, Arakawa E-Grid (Non-Staggered) +1009 from grib2io.utils import arakawa_rotated_grid +1010 from grib2io.utils.rotated_grid import DEG2RAD +1011 di, dj = 0.0, 0.0 +1012 do_180 = False +1013 idir = 1 if self.scanModeFlags[0] == 0 else -1 +1014 jdir = -1 if self.scanModeFlags[1] == 0 else 1 +1015 grid_oriented = 0 if self.resolutionAndComponentFlags[4] == 0 else 1 +1016 do_rot = 1 if grid_oriented == 1 else 0 +1017 la1 = self.latitudeFirstGridpoint +1018 lo1 = self.longitudeFirstGridpoint +1019 clon = self.longitudeCenterGridpoint +1020 clat = self.latitudeCenterGridpoint +1021 lasp = clat - 90.0 +1022 losp = clon +1023 llat, llon = arakawa_rotated_grid.ll2rot(la1,lo1,lasp,losp) +1024 la2, lo2 = arakawa_rotated_grid.rot2ll(-llat,-llon,lasp,losp) +1025 rlat = -llat +1026 rlon = -llon +1027 if self.nx == 1: +1028 di = 0.0 +1029 elif idir == 1: +1030 ti = rlon +1031 while ti < llon: +1032 ti += 360.0 +1033 di = (ti - llon)/float(self.nx-1) +1034 else: +1035 ti = llon +1036 while ti < rlon: +1037 ti += 360.0 +1038 di = (ti - rlon)/float(self.nx-1) +1039 if self.ny == 1: +1040 dj = 0.0 +1041 else: +1042 dj = (rlat - llat)/float(self.ny-1) +1043 if dj < 0.0: +1044 dj = -dj +1045 if idir == 1: +1046 if llon > rlon: +1047 llon -= 360.0 +1048 if llon < 0 and rlon > 0: +1049 do_180 = True +1050 else: +1051 if rlon > llon: +1052 rlon -= 360.0 +1053 if rlon < 0 and llon > 0: +1054 do_180 = True +1055 xlat1d = llat + (np.arange(self.ny)*jdir*dj) +1056 xlon1d = llon + (np.arange(self.nx)*idir*di) +1057 xlons, xlats = np.meshgrid(xlon1d,xlat1d) +1058 rot2ll_vectorized = np.vectorize(arakawa_rotated_grid.rot2ll) +1059 lats, lons = rot2ll_vectorized(xlats,xlons,lasp,losp) +1060 if do_180: +1061 lons = np.where(lons>180.0,lons-360.0,lons) +1062 vector_rotation_angles_vectorized = np.vectorize(arakawa_rotated_grid.vector_rotation_angles) +1063 rots = vector_rotation_angles_vectorized(lats, lons, clat, losp, xlats) +1064 del xlat1d, xlon1d, xlats, xlons +1065 else: +1066 raise ValueError('Unsupported grid') +1067 +1068 _latlon_datastore[self._sha1_section3] = dict(latitude=lats,longitude=lons) +1069 try: +1070 _latlon_datastore[self._sha1_section3]['vector_rotation_angles'] = rots +1071 except(NameError): +1072 pass +1073 +1074 return lats, lons +1075 +1076 +1077 def map_keys(self): +1078 """ +1079 Returns an unpacked data grid where integer grid values are replaced with +1080 a string.in which the numeric value is a representation of. +1081 +1082 These types of fields are cateogrical or classifications where data values +1083 do not represent an observable or predictable physical quantity. An example +1084 of such a field field would be [Dominant Precipitation Type - +1085 DPTYPE](https://www.nco.ncep.noaa.gov/pmb/docs/grib2/grib2_doc/grib2_table4-201.shtml) +1086 +1087 Returns +1088 ------- +1089 **`numpy.ndarray`** of string values per element. +1090 """ +1091 hold_auto_nans = _AUTO_NANS +1092 set_auto_nans(False) +1093 if (np.all(self.section1[0:2]==[7,14]) and self.shortName == 'PWTHER') or \ +1094 (np.all(self.section1[0:2]==[8,65535]) and self.shortName == 'WX'): +1095 keys = utils.decode_wx_strings(self.section2) +1096 if hasattr(self,'priMissingValue') and self.priMissingValue not in [None,0]: +1097 keys[int(self.priMissingValue)] = 'Missing' +1098 if hasattr(self,'secMissingValue') and self.secMissingValue not in [None,0]: +1099 keys[int(self.secMissingValue)] = 'Missing' +1100 u,inv = np.unique(self.data,return_inverse=True) +1101 fld = np.array([keys[x] for x in u])[inv].reshape(self.data.shape) +1102 else: +1103 # For data whose units are defined in a code table (i.e. classification or mask) +1104 tblname = re.findall(r'\d\.\d+',self.units,re.IGNORECASE)[0] +1105 fld = self.data.astype(np.int32).astype(str) +1106 tbl = tables.get_table(tblname,expand=True) +1107 for val in np.unique(fld): +1108 fld = np.where(fld==val,tbl[val],fld) +1109 set_auto_nans(hold_auto_nans) +1110 return fld 1111 -1112 Returns -1113 ------- -1114 Returns GRIB2 formatted message as bytes. -1115 """ -1116 if validate: -1117 if self._msg[0:4]+self._msg[-4:] == b'GRIB7777': -1118 return self._msg -1119 else: -1120 return None -1121 else: -1122 return self._msg -1123 -1124 -1125 def interpolate(self, method, grid_def_out, method_options=None): -1126 """ -1127 Perform grid spatial interpolation via the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). -1128 -1129 **IMPORTANT:** This interpolate method only supports scalar interpolation. If you -1130 need to perform vector interpolation, use the module-level `grib2io.interpolate` function. -1131 -1132 Parameters -1133 ---------- -1134 **`method : int or str`** -1135 Interpolate method to use. This can either be an integer or string using -1136 the following mapping: -1137 -1138 | Interpolate Scheme | Integer Value | -1139 | :---: | :---: | -1140 | 'bilinear' | 0 | -1141 | 'bicubic' | 1 | -1142 | 'neighbor' | 2 | -1143 | 'budget' | 3 | -1144 | 'spectral' | 4 | -1145 | 'neighbor-budget' | 6 | +1112 +1113 def to_bytes(self, validate=True): +1114 """ +1115 Return packed GRIB2 message in bytes format. +1116 +1117 This will be Useful for exporting data in non-file formats. For example, +1118 can be used to output grib data directly to S3 using the boto3 client +1119 without the need to write a temporary file to upload first. +1120 +1121 Parameters +1122 ---------- +1123 **`validate : bool, optional`** +1124 If `True` (DEFAULT), validates first/last four bytes for proper +1125 formatting, else returns None. If `False`, message is output as is. +1126 +1127 Returns +1128 ------- +1129 Returns GRIB2 formatted message as bytes. +1130 """ +1131 if validate: +1132 if self._msg[0:4]+self._msg[-4:] == b'GRIB7777': +1133 return self._msg +1134 else: +1135 return None +1136 else: +1137 return self._msg +1138 +1139 +1140 def interpolate(self, method, grid_def_out, method_options=None): +1141 """ +1142 Perform grid spatial interpolation via the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). +1143 +1144 **IMPORTANT:** This interpolate method only supports scalar interpolation. If you +1145 need to perform vector interpolation, use the module-level `grib2io.interpolate` function. 1146 -1147 **`grid_def_out : grib2io.Grib2GridDef`** -1148 Grib2GridDef object of the output grid. -1149 -1150 **`method_options : list of ints, optional`** -1151 Interpolation options. See the NCEPLIBS-ip doucmentation for -1152 more information on how these are used. -1153 -1154 Returns -1155 ------- -1156 If interpolating to a grid, a new Grib2Message object is returned. The GRIB2 metadata of -1157 the new Grib2Message object is indentical to the input except where required to be different -1158 because of the new grid specs. -1159 -1160 If interpolating to station points, the interpolated data values are returned as a numpy.ndarray. -1161 """ -1162 section0 = self.section0 -1163 section0[-1] = 0 -1164 gds = [0, grid_def_out.npoints, 0, 255, grid_def_out.gdtn] -1165 section3 = np.concatenate((gds,grid_def_out.gdt)) -1166 -1167 msg = Grib2Message(section0,self.section1,self.section2,section3, -1168 self.section4,self.section5,self.bitMapFlag.value) -1169 -1170 msg._msgnum = -1 -1171 msg._deflist = self._deflist -1172 msg._coordlist = self._coordlist -1173 shape = (msg.ny,msg.nx) -1174 ndim = 2 -1175 if msg.typeOfValues == 0: -1176 dtype = 'float32' -1177 elif msg.typeOfValues == 1: -1178 dtype = 'int32' -1179 msg._data = interpolate(self.data,method,Grib2GridDef.from_section3(self.section3),grid_def_out, -1180 method_options=method_options).reshape(msg.ny,msg.nx) -1181 return msg +1147 Parameters +1148 ---------- +1149 **`method : int or str`** +1150 Interpolate method to use. This can either be an integer or string using +1151 the following mapping: +1152 +1153 | Interpolate Scheme | Integer Value | +1154 | :---: | :---: | +1155 | 'bilinear' | 0 | +1156 | 'bicubic' | 1 | +1157 | 'neighbor' | 2 | +1158 | 'budget' | 3 | +1159 | 'spectral' | 4 | +1160 | 'neighbor-budget' | 6 | +1161 +1162 **`grid_def_out : grib2io.Grib2GridDef`** +1163 Grib2GridDef object of the output grid. +1164 +1165 **`method_options : list of ints, optional`** +1166 Interpolation options. See the NCEPLIBS-ip doucmentation for +1167 more information on how these are used. +1168 +1169 Returns +1170 ------- +1171 If interpolating to a grid, a new Grib2Message object is returned. The GRIB2 metadata of +1172 the new Grib2Message object is indentical to the input except where required to be different +1173 because of the new grid specs. +1174 +1175 If interpolating to station points, the interpolated data values are returned as a numpy.ndarray. +1176 """ +1177 section0 = self.section0 +1178 section0[-1] = 0 +1179 gds = [0, grid_def_out.npoints, 0, 255, grid_def_out.gdtn] +1180 section3 = np.concatenate((gds,grid_def_out.gdt)) +1181 +1182 msg = Grib2Message(section0,self.section1,self.section2,section3, +1183 self.section4,self.section5,self.bitMapFlag.value) +1184 +1185 msg._msgnum = -1 +1186 msg._deflist = self._deflist +1187 msg._coordlist = self._coordlist +1188 shape = (msg.ny,msg.nx) +1189 ndim = 2 +1190 if msg.typeOfValues == 0: +1191 dtype = 'float32' +1192 elif msg.typeOfValues == 1: +1193 dtype = 'int32' +1194 msg._data = interpolate(self.data,method,Grib2GridDef.from_section3(self.section3),grid_def_out, +1195 method_options=method_options).reshape(msg.ny,msg.nx) +1196 return msgReturns
685 @property -686 def gdtn(self): -687 """Return Grid Definition Template Number""" -688 return self.section3[4] +@@ -2924,10 +2939,10 @@700 @property +701 def gdtn(self): +702 """Return Grid Definition Template Number""" +703 return self.section3[4]Returns
691 @property -692 def gdt(self): -693 """Return Grid Definition Template""" -694 return self.gridDefinitionTemplate +@@ -2945,10 +2960,10 @@706 @property +707 def gdt(self): +708 """Return Grid Definition Template""" +709 return self.gridDefinitionTemplateReturns
697 @property -698 def pdtn(self): -699 """Return Product Definition Template Number""" -700 return self.section4[1] +@@ -2966,10 +2981,10 @@712 @property +713 def pdtn(self): +714 """Return Product Definition Template Number""" +715 return self.section4[1]Returns
703 @property -704 def pdt(self): -705 """Return Product Definition Template""" -706 return self.productDefinitionTemplate +@@ -2987,10 +3002,10 @@718 @property +719 def pdt(self): +720 """Return Product Definition Template""" +721 return self.productDefinitionTemplateReturns
709 @property -710 def drtn(self): -711 """Return Data Representation Template Number""" -712 return self.section5[1] +@@ -3008,10 +3023,10 @@724 @property +725 def drtn(self): +726 """Return Data Representation Template Number""" +727 return self.section5[1]Returns
715 @property -716 def drt(self): -717 """Return Data Representation Template""" -718 return self.dataRepresentationTemplate +@@ -3029,10 +3044,10 @@730 @property +731 def drt(self): +732 """Return Data Representation Template""" +733 return self.dataRepresentationTemplateReturns
721 @property -722 def pdy(self): -723 """Return the PDY ('YYYYMMDD')""" -724 return ''.join([str(i) for i in self.section1[5:8]]) +@@ -3050,10 +3065,10 @@736 @property +737 def pdy(self): +738 """Return the PDY ('YYYYMMDD')""" +739 return ''.join([str(i) for i in self.section1[5:8]])Returns
727 @property -728 def griddef(self): -729 """Return a Grib2GridDef instance for a GRIB2 message""" -730 return Grib2GridDef.from_section3(self.section3) +@@ -3073,44 +3088,44 @@742 @property +743 def griddef(self): +744 """Return a Grib2GridDef instance for a GRIB2 message""" +745 return Grib2GridDef.from_section3(self.section3)Returns
754 def attrs_by_section(self, sect, values=False): -755 """ -756 Provide a tuple of attribute names for the given GRIB2 section. -757 -758 Parameters -759 ---------- -760 **`sect : int`** -761 The GRIB2 section number. -762 -763 **`values : bool, optional`** -764 Optional (default is `False`) arugment to return attributes values. -765 -766 Returns -767 ------- -768 A List attribute names or Dict if `values = True`. -769 """ -770 if sect in {0,1,6}: -771 attrs = templates._section_attrs[sect] -772 elif sect in {3,4,5}: -773 def _find_class_index(n): -774 _key = {3:'Grid', 4:'Product', 5:'Data'} -775 for i,c in enumerate(self.__class__.__mro__): -776 if _key[n] in c.__name__: -777 return i -778 else: -779 return [] -780 if sys.version_info.minor <= 8: -781 attrs = templates._section_attrs[sect]+\ -782 [a for a in dir(self.__class__.__mro__[_find_class_index(sect)]) if not a.startswith('_')] -783 else: -784 attrs = templates._section_attrs[sect]+\ -785 self.__class__.__mro__[_find_class_index(sect)]._attrs -786 else: -787 attrs = [] -788 if values: -789 return {k:getattr(self,k) for k in attrs} -790 else: -791 return attrs +@@ -3142,73 +3157,73 @@769 def attrs_by_section(self, sect, values=False): +770 """ +771 Provide a tuple of attribute names for the given GRIB2 section. +772 +773 Parameters +774 ---------- +775 **`sect : int`** +776 The GRIB2 section number. +777 +778 **`values : bool, optional`** +779 Optional (default is `False`) arugment to return attributes values. +780 +781 Returns +782 ------- +783 A List attribute names or Dict if `values = True`. +784 """ +785 if sect in {0,1,6}: +786 attrs = templates._section_attrs[sect] +787 elif sect in {3,4,5}: +788 def _find_class_index(n): +789 _key = {3:'Grid', 4:'Product', 5:'Data'} +790 for i,c in enumerate(self.__class__.__mro__): +791 if _key[n] in c.__name__: +792 return i +793 else: +794 return [] +795 if sys.version_info.minor <= 8: +796 attrs = templates._section_attrs[sect]+\ +797 [a for a in dir(self.__class__.__mro__[_find_class_index(sect)]) if not a.startswith('_')] +798 else: +799 attrs = templates._section_attrs[sect]+\ +800 self.__class__.__mro__[_find_class_index(sect)]._attrs +801 else: +802 attrs = [] +803 if values: +804 return {k:getattr(self,k) for k in attrs} +805 else: +806 return attrsReturns
794 def pack(self): -795 """ -796 Packs GRIB2 section data into a binary message. It is the user's responsibility -797 to populate the GRIB2 section information with appropriate metadata. -798 """ -799 # Create beginning of packed binary message with section 0 and 1 data. -800 self._sections = [] -801 self._msg,self._pos = g2clib.grib2_create(self.indicatorSection[2:4],self.identificationSection) -802 self._sections += [0,1] -803 -804 # Add section 2 if present. -805 if isinstance(self.section2,bytes) and len(self.section2) > 0: -806 self._msg,self._pos = g2clib.grib2_addlocal(self._msg,self.section2) -807 self._sections.append(2) -808 -809 # Add section 3. -810 self.section3[1] = self.nx * self.ny -811 self._msg,self._pos = g2clib.grib2_addgrid(self._msg,self.gridDefinitionSection, -812 self.gridDefinitionTemplate, -813 self._deflist) -814 self._sections.append(3) -815 -816 # Prepare data. -817 field = np.copy(self.data) -818 if self.scanModeFlags is not None: -819 if self.scanModeFlags[3]: -820 fieldsave = field.astype('f') # Casting makes a copy -821 field[1::2,:] = fieldsave[1::2,::-1] -822 fld = field.astype('f') +@@ -3227,20 +3242,20 @@809 def pack(self): +810 """ +811 Packs GRIB2 section data into a binary message. It is the user's responsibility +812 to populate the GRIB2 section information with appropriate metadata. +813 """ +814 # Create beginning of packed binary message with section 0 and 1 data. +815 self._sections = [] +816 self._msg,self._pos = g2clib.grib2_create(self.indicatorSection[2:4],self.identificationSection) +817 self._sections += [0,1] +818 +819 # Add section 2 if present. +820 if isinstance(self.section2,bytes) and len(self.section2) > 0: +821 self._msg,self._pos = g2clib.grib2_addlocal(self._msg,self.section2) +822 self._sections.append(2) 823 -824 # Prepare bitmap, if necessary -825 bitmapflag = self.bitMapFlag.value -826 if bitmapflag == 0: -827 bmap = np.ravel(np.where(np.isnan(fld),0,1)).astype(DEFAULT_NUMPY_INT) -828 else: -829 bmap = None +824 # Add section 3. +825 self.section3[1] = self.nx * self.ny +826 self._msg,self._pos = g2clib.grib2_addgrid(self._msg,self.gridDefinitionSection, +827 self.gridDefinitionTemplate, +828 self._deflist) +829 self._sections.append(3) 830 -831 # Prepare optional coordinate list -832 if self._coordlist is not None: -833 crdlist = np.array(self._coordlist,'f') -834 else: -835 crdlist = None -836 -837 # Prepare data for packing if nans are present -838 fld = np.ravel(fld) -839 if np.isnan(fld).any() and hasattr(self,'_missvalmap'): -840 fld = np.where(self._missvalmap==1,self.priMissingValue,fld) -841 fld = np.where(self._missvalmap==2,self.secMissingValue,fld) -842 -843 # Add sections 4, 5, 6 (if present), and 7. -844 self._msg,self._pos = g2clib.grib2_addfield(self._msg,self.pdtn, -845 self.productDefinitionTemplate, -846 crdlist, -847 self.drtn, -848 self.dataRepresentationTemplate, -849 fld, -850 bitmapflag, -851 bmap) -852 self._sections.append(4) -853 self._sections.append(5) -854 if bmap is not None: self._sections.append(6) -855 self._sections.append(7) -856 -857 # Finalize GRIB2 message with section 8. -858 self._msg, self._pos = g2clib.grib2_end(self._msg) -859 self._sections.append(8) -860 self.section0[-1] = len(self._msg) +831 # Prepare data. +832 field = np.copy(self.data) +833 if self.scanModeFlags is not None: +834 if self.scanModeFlags[3]: +835 fieldsave = field.astype('f') # Casting makes a copy +836 field[1::2,:] = fieldsave[1::2,::-1] +837 fld = field.astype('f') +838 +839 # Prepare bitmap, if necessary +840 bitmapflag = self.bitMapFlag.value +841 if bitmapflag == 0: +842 bmap = np.ravel(np.where(np.isnan(fld),0,1)).astype(DEFAULT_NUMPY_INT) +843 else: +844 bmap = None +845 +846 # Prepare optional coordinate list +847 if self._coordlist is not None: +848 crdlist = np.array(self._coordlist,'f') +849 else: +850 crdlist = None +851 +852 # Prepare data for packing if nans are present +853 fld = np.ravel(fld) +854 if np.isnan(fld).any() and hasattr(self,'_missvalmap'): +855 fld = np.where(self._missvalmap==1,self.priMissingValue,fld) +856 fld = np.where(self._missvalmap==2,self.secMissingValue,fld) +857 +858 # Add sections 4, 5, 6 (if present), and 7. +859 self._msg,self._pos = g2clib.grib2_addfield(self._msg,self.pdtn, +860 self.productDefinitionTemplate, +861 crdlist, +862 self.drtn, +863 self.dataRepresentationTemplate, +864 fld, +865 bitmapflag, +866 bmap) +867 self._sections.append(4) +868 self._sections.append(5) +869 if bmap is not None: self._sections.append(6) +870 self._sections.append(7) +871 +872 # Finalize GRIB2 message with section 8. +873 self._msg, self._pos = g2clib.grib2_end(self._msg) +874 self._sections.append(8) +875 self.section0[-1] = len(self._msg)Returns
863 @property -864 def data(self) -> np.array: -865 """ -866 Accessing the data attribute loads data into memmory -867 """ -868 if not hasattr(self,'_auto_nans'): self._auto_nans = _AUTO_NANS -869 if hasattr(self,'_data'): -870 if self._auto_nans != _AUTO_NANS: -871 self._data = self._ondiskarray -872 if isinstance(self._data, Grib2MessageOnDiskArray): -873 self._ondiskarray = self._data -874 self._data = np.asarray(self._data) -875 return self._data -876 raise ValueError +@@ -3260,9 +3275,9 @@878 @property +879 def data(self) -> np.array: +880 """ +881 Accessing the data attribute loads data into memmory +882 """ +883 if not hasattr(self,'_auto_nans'): self._auto_nans = _AUTO_NANS +884 if hasattr(self,'_data'): +885 if self._auto_nans != _AUTO_NANS: +886 self._data = self._ondiskarray +887 if isinstance(self._data, Grib2MessageOnDiskArray): +888 self._ondiskarray = self._data +889 self._data = np.asarray(self._data) +890 return self._data +891 raise ValueErrorReturns
893 def latlons(self, *args, **kwrgs): -894 """Alias for `grib2io.Grib2Message.grid` method""" -895 return self.grid(*args, **kwrgs) +@@ -3282,168 +3297,168 @@908 def latlons(self, *args, **kwrgs): +909 """Alias for `grib2io.Grib2Message.grid` method""" +910 return self.grid(*args, **kwrgs)Returns
898 def grid(self, unrotate=True): - 899 """ - 900 Return lats,lons (in degrees) of grid. - 901 - 902 Currently can handle reg. lat/lon,cglobal Gaussian, mercator, stereographic, - 903 lambert conformal, albers equal-area, space-view and azimuthal equidistant grids. - 904 - 905 Parameters - 906 ---------- - 907 **`unrotate : bool`** - 908 If `True` [DEFAULT], and grid is rotated lat/lon, then unrotate the grid, - 909 otherwise `False`, do not. - 910 - 911 Returns - 912 ------- - 913 **`lats, lons : numpy.ndarray`** - 914 Returns two numpy.ndarrays with dtype=numpy.float32 of grid latitudes and - 915 longitudes in units of degrees. - 916 """ - 917 if self._sha1_section3 in _latlon_datastore.keys(): - 918 return (_latlon_datastore[self._sha1_section3]['latitude'], - 919 _latlon_datastore[self._sha1_section3]['longitude']) - 920 else: - 921 _latlon_datastore[self._sha1_section3] = {} - 922 gdtn = self.gridDefinitionTemplateNumber.value - 923 gdtmpl = self.gridDefinitionTemplate - 924 reggrid = self.gridDefinitionSection[2] == 0 # This means regular 2-d grid - 925 if gdtn == 0: - 926 # Regular lat/lon grid - 927 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 928 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint - 929 dlon = self.gridlengthXDirection - 930 dlat = self.gridlengthYDirection - 931 if lon2 < lon1 and dlon < 0: lon1 = -lon1 - 932 lats = np.linspace(lat1,lat2,self.ny) - 933 if reggrid: - 934 lons = np.linspace(lon1,lon2,self.nx) - 935 else: - 936 lons = np.linspace(lon1,lon2,self.ny*2) - 937 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. - 938 elif gdtn == 1: # Rotated Lat/Lon grid - 939 pj = pyproj.Proj(self.projParameters) - 940 lat1,lon1 = self.latitudeFirstGridpoint,self.longitudeFirstGridpoint - 941 lat2,lon2 = self.latitudeLastGridpoint,self.longitudeLastGridpoint - 942 if lon1 > 180.0: lon1 -= 360.0 - 943 if lon2 > 180.0: lon2 -= 360.0 - 944 lats = np.linspace(lat1,lat2,self.ny) - 945 lons = np.linspace(lon1,lon2,self.nx) - 946 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. - 947 if unrotate: - 948 from grib2io.utils import rotated_grid - 949 lats,lons = rotated_grid.unrotate(lats,lons,self.anglePoleRotation, - 950 self.latitudeSouthernPole, - 951 self.longitudeSouthernPole) - 952 elif gdtn == 40: # Gaussian grid (only works for global!) - 953 from utils.gauss_grids import gaussian_latitudes - 954 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 955 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint - 956 nlats = self.ny - 957 if not reggrid: # Reduced Gaussian grid. - 958 nlons = 2*nlats - 959 dlon = 360./nlons - 960 else: - 961 nlons = self.nx - 962 dlon = self.gridlengthXDirection - 963 lons = np.arange(lon1,lon2+dlon,dlon) - 964 # Compute Gaussian lats (north to south) - 965 lats = gaussian_latitudes(nlats) - 966 if lat1 < lat2: # reverse them if necessary - 967 lats = lats[::-1] - 968 lons,lats = np.meshgrid(lons,lats) - 969 elif gdtn in {10,20,30,31,110}: - 970 # Mercator, Lambert Conformal, Stereographic, Albers Equal Area, Azimuthal Equidistant - 971 dx,dy = self.gridlengthXDirection, self.gridlengthYDirection - 972 lon1,lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint - 973 pj = pyproj.Proj(self.projParameters) - 974 llcrnrx, llcrnry = pj(lon1,lat1) - 975 x = llcrnrx+dx*np.arange(self.nx) - 976 y = llcrnry+dy*np.arange(self.ny) - 977 x,y = np.meshgrid(x, y) - 978 lons,lats = pj(x, y, inverse=True) - 979 elif gdtn == 90: - 980 # Satellite Projection - 981 dx = self.gridlengthXDirection - 982 dy = self.gridlengthYDirection - 983 pj = pyproj.Proj(self.projParameters) - 984 x = dx*np.indices((self.ny,self.nx),'f')[1,:,:] - 985 x -= 0.5*x.max() - 986 y = dy*np.indices((self.ny,self.nx),'f')[0,:,:] - 987 y -= 0.5*y.max() - 988 lons,lats = pj(x,y,inverse=True) - 989 # Set lons,lats to 1.e30 where undefined - 990 abslons = np.fabs(lons) - 991 abslats = np.fabs(lats) - 992 lons = np.where(abslons < 1.e20, lons, 1.e30) - 993 lats = np.where(abslats < 1.e20, lats, 1.e30) - 994 elif gdtn == 32769: - 995 # Special NCEP Grid, Rotated Lat/Lon, Arakawa E-Grid (Non-Staggered) - 996 from grib2io.utils import arakawa_rotated_grid - 997 from grib2io.utils.rotated_grid import DEG2RAD - 998 di, dj = 0.0, 0.0 - 999 do_180 = False -1000 idir = 1 if self.scanModeFlags[0] == 0 else -1 -1001 jdir = -1 if self.scanModeFlags[1] == 0 else 1 -1002 grid_oriented = 0 if self.resolutionAndComponentFlags[4] == 0 else 1 -1003 do_rot = 1 if grid_oriented == 1 else 0 -1004 la1 = self.latitudeFirstGridpoint -1005 lo1 = self.longitudeFirstGridpoint -1006 clon = self.longitudeCenterGridpoint -1007 clat = self.latitudeCenterGridpoint -1008 lasp = clat - 90.0 -1009 losp = clon -1010 llat, llon = arakawa_rotated_grid.ll2rot(la1,lo1,lasp,losp) -1011 la2, lo2 = arakawa_rotated_grid.rot2ll(-llat,-llon,lasp,losp) -1012 rlat = -llat -1013 rlon = -llon -1014 if self.nx == 1: -1015 di = 0.0 -1016 elif idir == 1: -1017 ti = rlon -1018 while ti < llon: -1019 ti += 360.0 -1020 di = (ti - llon)/float(self.nx-1) -1021 else: -1022 ti = llon -1023 while ti < rlon: -1024 ti += 360.0 -1025 di = (ti - rlon)/float(self.nx-1) -1026 if self.ny == 1: -1027 dj = 0.0 -1028 else: -1029 dj = (rlat - llat)/float(self.ny-1) -1030 if dj < 0.0: -1031 dj = -dj -1032 if idir == 1: -1033 if llon > rlon: -1034 llon -= 360.0 -1035 if llon < 0 and rlon > 0: -1036 do_180 = True -1037 else: -1038 if rlon > llon: -1039 rlon -= 360.0 -1040 if rlon < 0 and llon > 0: -1041 do_180 = True -1042 xlat1d = llat + (np.arange(self.ny)*jdir*dj) -1043 xlon1d = llon + (np.arange(self.nx)*idir*di) -1044 xlons, xlats = np.meshgrid(xlon1d,xlat1d) -1045 rot2ll_vectorized = np.vectorize(arakawa_rotated_grid.rot2ll) -1046 lats, lons = rot2ll_vectorized(xlats,xlons,lasp,losp) -1047 if do_180: -1048 lons = np.where(lons>180.0,lons-360.0,lons) -1049 vector_rotation_angles_vectorized = np.vectorize(arakawa_rotated_grid.vector_rotation_angles) -1050 rots = vector_rotation_angles_vectorized(lats, lons, clat, losp, xlats) -1051 _latlon_datastore[self._sha1_section3]['vector_rotation_angles'] = rots -1052 del xlat1d, xlon1d, xlats, xlons -1053 else: -1054 raise ValueError('Unsupported grid') -1055 -1056 _latlon_datastore[self._sha1_section3]['latitude'] = lats -1057 _latlon_datastore[self._sha1_section3]['longitude'] = lons -1058 -1059 return lats, lons +@@ -3478,40 +3493,40 @@913 def grid(self, unrotate=True): + 914 """ + 915 Return lats,lons (in degrees) of grid. + 916 + 917 Currently can handle reg. lat/lon,cglobal Gaussian, mercator, stereographic, + 918 lambert conformal, albers equal-area, space-view and azimuthal equidistant grids. + 919 + 920 Parameters + 921 ---------- + 922 **`unrotate : bool`** + 923 If `True` [DEFAULT], and grid is rotated lat/lon, then unrotate the grid, + 924 otherwise `False`, do not. + 925 + 926 Returns + 927 ------- + 928 **`lats, lons : numpy.ndarray`** + 929 Returns two numpy.ndarrays with dtype=numpy.float32 of grid latitudes and + 930 longitudes in units of degrees. + 931 """ + 932 if self._sha1_section3 in _latlon_datastore.keys(): + 933 return (_latlon_datastore[self._sha1_section3]['latitude'], + 934 _latlon_datastore[self._sha1_section3]['longitude']) + 935 gdtn = self.gridDefinitionTemplateNumber.value + 936 gdtmpl = self.gridDefinitionTemplate + 937 reggrid = self.gridDefinitionSection[2] == 0 # This means regular 2-d grid + 938 if gdtn == 0: + 939 # Regular lat/lon grid + 940 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 941 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint + 942 dlon = self.gridlengthXDirection + 943 dlat = self.gridlengthYDirection + 944 if lon2 < lon1 and dlon < 0: lon1 = -lon1 + 945 lats = np.linspace(lat1,lat2,self.ny) + 946 if reggrid: + 947 lons = np.linspace(lon1,lon2,self.nx) + 948 else: + 949 lons = np.linspace(lon1,lon2,self.ny*2) + 950 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. + 951 elif gdtn == 1: # Rotated Lat/Lon grid + 952 pj = pyproj.Proj(self.projParameters) + 953 lat1,lon1 = self.latitudeFirstGridpoint,self.longitudeFirstGridpoint + 954 lat2,lon2 = self.latitudeLastGridpoint,self.longitudeLastGridpoint + 955 if lon1 > 180.0: lon1 -= 360.0 + 956 if lon2 > 180.0: lon2 -= 360.0 + 957 lats = np.linspace(lat1,lat2,self.ny) + 958 lons = np.linspace(lon1,lon2,self.nx) + 959 lons,lats = np.meshgrid(lons,lats) # Make 2-d arrays. + 960 if unrotate: + 961 from grib2io.utils import rotated_grid + 962 lats,lons = rotated_grid.unrotate(lats,lons,self.anglePoleRotation, + 963 self.latitudeSouthernPole, + 964 self.longitudeSouthernPole) + 965 elif gdtn == 40: # Gaussian grid (only works for global!) + 966 from grib2io.utils.gauss_grid import gaussian_latitudes + 967 lon1, lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 968 lon2, lat2 = self.longitudeLastGridpoint, self.latitudeLastGridpoint + 969 nlats = self.ny + 970 if not reggrid: # Reduced Gaussian grid. + 971 nlons = 2*nlats + 972 dlon = 360./nlons + 973 else: + 974 nlons = self.nx + 975 dlon = self.gridlengthXDirection + 976 lons = np.arange(lon1,lon2+dlon,dlon) + 977 # Compute Gaussian lats (north to south) + 978 lats = gaussian_latitudes(nlats) + 979 if lat1 < lat2: # reverse them if necessary + 980 lats = lats[::-1] + 981 lons,lats = np.meshgrid(lons,lats) + 982 elif gdtn in {10,20,30,31,110}: + 983 # Mercator, Lambert Conformal, Stereographic, Albers Equal Area, Azimuthal Equidistant + 984 dx,dy = self.gridlengthXDirection, self.gridlengthYDirection + 985 lon1,lat1 = self.longitudeFirstGridpoint, self.latitudeFirstGridpoint + 986 pj = pyproj.Proj(self.projParameters) + 987 llcrnrx, llcrnry = pj(lon1,lat1) + 988 x = llcrnrx+dx*np.arange(self.nx) + 989 y = llcrnry+dy*np.arange(self.ny) + 990 x,y = np.meshgrid(x, y) + 991 lons,lats = pj(x, y, inverse=True) + 992 elif gdtn == 90: + 993 # Satellite Projection + 994 dx = self.gridlengthXDirection + 995 dy = self.gridlengthYDirection + 996 pj = pyproj.Proj(self.projParameters) + 997 x = dx*np.indices((self.ny,self.nx),'f')[1,:,:] + 998 x -= 0.5*x.max() + 999 y = dy*np.indices((self.ny,self.nx),'f')[0,:,:] +1000 y -= 0.5*y.max() +1001 lons,lats = pj(x,y,inverse=True) +1002 # Set lons,lats to 1.e30 where undefined +1003 abslons = np.fabs(lons) +1004 abslats = np.fabs(lats) +1005 lons = np.where(abslons < 1.e20, lons, 1.e30) +1006 lats = np.where(abslats < 1.e20, lats, 1.e30) +1007 elif gdtn == 32769: +1008 # Special NCEP Grid, Rotated Lat/Lon, Arakawa E-Grid (Non-Staggered) +1009 from grib2io.utils import arakawa_rotated_grid +1010 from grib2io.utils.rotated_grid import DEG2RAD +1011 di, dj = 0.0, 0.0 +1012 do_180 = False +1013 idir = 1 if self.scanModeFlags[0] == 0 else -1 +1014 jdir = -1 if self.scanModeFlags[1] == 0 else 1 +1015 grid_oriented = 0 if self.resolutionAndComponentFlags[4] == 0 else 1 +1016 do_rot = 1 if grid_oriented == 1 else 0 +1017 la1 = self.latitudeFirstGridpoint +1018 lo1 = self.longitudeFirstGridpoint +1019 clon = self.longitudeCenterGridpoint +1020 clat = self.latitudeCenterGridpoint +1021 lasp = clat - 90.0 +1022 losp = clon +1023 llat, llon = arakawa_rotated_grid.ll2rot(la1,lo1,lasp,losp) +1024 la2, lo2 = arakawa_rotated_grid.rot2ll(-llat,-llon,lasp,losp) +1025 rlat = -llat +1026 rlon = -llon +1027 if self.nx == 1: +1028 di = 0.0 +1029 elif idir == 1: +1030 ti = rlon +1031 while ti < llon: +1032 ti += 360.0 +1033 di = (ti - llon)/float(self.nx-1) +1034 else: +1035 ti = llon +1036 while ti < rlon: +1037 ti += 360.0 +1038 di = (ti - rlon)/float(self.nx-1) +1039 if self.ny == 1: +1040 dj = 0.0 +1041 else: +1042 dj = (rlat - llat)/float(self.ny-1) +1043 if dj < 0.0: +1044 dj = -dj +1045 if idir == 1: +1046 if llon > rlon: +1047 llon -= 360.0 +1048 if llon < 0 and rlon > 0: +1049 do_180 = True +1050 else: +1051 if rlon > llon: +1052 rlon -= 360.0 +1053 if rlon < 0 and llon > 0: +1054 do_180 = True +1055 xlat1d = llat + (np.arange(self.ny)*jdir*dj) +1056 xlon1d = llon + (np.arange(self.nx)*idir*di) +1057 xlons, xlats = np.meshgrid(xlon1d,xlat1d) +1058 rot2ll_vectorized = np.vectorize(arakawa_rotated_grid.rot2ll) +1059 lats, lons = rot2ll_vectorized(xlats,xlons,lasp,losp) +1060 if do_180: +1061 lons = np.where(lons>180.0,lons-360.0,lons) +1062 vector_rotation_angles_vectorized = np.vectorize(arakawa_rotated_grid.vector_rotation_angles) +1063 rots = vector_rotation_angles_vectorized(lats, lons, clat, losp, xlats) +1064 del xlat1d, xlon1d, xlats, xlons +1065 else: +1066 raise ValueError('Unsupported grid') +1067 +1068 _latlon_datastore[self._sha1_section3] = dict(latitude=lats,longitude=lons) +1069 try: +1070 _latlon_datastore[self._sha1_section3]['vector_rotation_angles'] = rots +1071 except(NameError): +1072 pass +1073 +1074 return lats, lonsReturns
1062 def map_keys(self): -1063 """ -1064 Returns an unpacked data grid where integer grid values are replaced with -1065 a string.in which the numeric value is a representation of. -1066 -1067 These types of fields are cateogrical or classifications where data values -1068 do not represent an observable or predictable physical quantity. An example -1069 of such a field field would be [Dominant Precipitation Type - -1070 DPTYPE](https://www.nco.ncep.noaa.gov/pmb/docs/grib2/grib2_doc/grib2_table4-201.shtml) -1071 -1072 Returns -1073 ------- -1074 **`numpy.ndarray`** of string values per element. -1075 """ -1076 hold_auto_nans = _AUTO_NANS -1077 set_auto_nans(False) -1078 if (np.all(self.section1[0:2]==[7,14]) and self.shortName == 'PWTHER') or \ -1079 (np.all(self.section1[0:2]==[8,65535]) and self.shortName == 'WX'): -1080 keys = utils.decode_wx_strings(self.section2) -1081 if hasattr(self,'priMissingValue') and self.priMissingValue not in [None,0]: -1082 keys[int(self.priMissingValue)] = 'Missing' -1083 if hasattr(self,'secMissingValue') and self.secMissingValue not in [None,0]: -1084 keys[int(self.secMissingValue)] = 'Missing' -1085 u,inv = np.unique(self.data,return_inverse=True) -1086 fld = np.array([keys[x] for x in u])[inv].reshape(self.data.shape) -1087 else: -1088 # For data whose units are defined in a code table (i.e. classification or mask) -1089 tblname = re.findall(r'\d\.\d+',self.units,re.IGNORECASE)[0] -1090 fld = self.data.astype(np.int32).astype(str) -1091 tbl = tables.get_table(tblname,expand=True) -1092 for val in np.unique(fld): -1093 fld = np.where(fld==val,tbl[val],fld) -1094 set_auto_nans(hold_auto_nans) -1095 return fld +@@ -3541,31 +3556,31 @@1077 def map_keys(self): +1078 """ +1079 Returns an unpacked data grid where integer grid values are replaced with +1080 a string.in which the numeric value is a representation of. +1081 +1082 These types of fields are cateogrical or classifications where data values +1083 do not represent an observable or predictable physical quantity. An example +1084 of such a field field would be [Dominant Precipitation Type - +1085 DPTYPE](https://www.nco.ncep.noaa.gov/pmb/docs/grib2/grib2_doc/grib2_table4-201.shtml) +1086 +1087 Returns +1088 ------- +1089 **`numpy.ndarray`** of string values per element. +1090 """ +1091 hold_auto_nans = _AUTO_NANS +1092 set_auto_nans(False) +1093 if (np.all(self.section1[0:2]==[7,14]) and self.shortName == 'PWTHER') or \ +1094 (np.all(self.section1[0:2]==[8,65535]) and self.shortName == 'WX'): +1095 keys = utils.decode_wx_strings(self.section2) +1096 if hasattr(self,'priMissingValue') and self.priMissingValue not in [None,0]: +1097 keys[int(self.priMissingValue)] = 'Missing' +1098 if hasattr(self,'secMissingValue') and self.secMissingValue not in [None,0]: +1099 keys[int(self.secMissingValue)] = 'Missing' +1100 u,inv = np.unique(self.data,return_inverse=True) +1101 fld = np.array([keys[x] for x in u])[inv].reshape(self.data.shape) +1102 else: +1103 # For data whose units are defined in a code table (i.e. classification or mask) +1104 tblname = re.findall(r'\d\.\d+',self.units,re.IGNORECASE)[0] +1105 fld = self.data.astype(np.int32).astype(str) +1106 tbl = tables.get_table(tblname,expand=True) +1107 for val in np.unique(fld): +1108 fld = np.where(fld==val,tbl[val],fld) +1109 set_auto_nans(hold_auto_nans) +1110 return fldReturns
1098 def to_bytes(self, validate=True): -1099 """ -1100 Return packed GRIB2 message in bytes format. -1101 -1102 This will be Useful for exporting data in non-file formats. For example, -1103 can be used to output grib data directly to S3 using the boto3 client -1104 without the need to write a temporary file to upload first. -1105 -1106 Parameters -1107 ---------- -1108 **`validate : bool, optional`** -1109 If `True` (DEFAULT), validates first/last four bytes for proper -1110 formatting, else returns None. If `False`, message is output as is. -1111 -1112 Returns -1113 ------- -1114 Returns GRIB2 formatted message as bytes. -1115 """ -1116 if validate: -1117 if self._msg[0:4]+self._msg[-4:] == b'GRIB7777': -1118 return self._msg -1119 else: -1120 return None -1121 else: -1122 return self._msg +@@ -3599,63 +3614,63 @@1113 def to_bytes(self, validate=True): +1114 """ +1115 Return packed GRIB2 message in bytes format. +1116 +1117 This will be Useful for exporting data in non-file formats. For example, +1118 can be used to output grib data directly to S3 using the boto3 client +1119 without the need to write a temporary file to upload first. +1120 +1121 Parameters +1122 ---------- +1123 **`validate : bool, optional`** +1124 If `True` (DEFAULT), validates first/last four bytes for proper +1125 formatting, else returns None. If `False`, message is output as is. +1126 +1127 Returns +1128 ------- +1129 Returns GRIB2 formatted message as bytes. +1130 """ +1131 if validate: +1132 if self._msg[0:4]+self._msg[-4:] == b'GRIB7777': +1133 return self._msg +1134 else: +1135 return None +1136 else: +1137 return self._msgReturns
1125 def interpolate(self, method, grid_def_out, method_options=None): -1126 """ -1127 Perform grid spatial interpolation via the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). -1128 -1129 **IMPORTANT:** This interpolate method only supports scalar interpolation. If you -1130 need to perform vector interpolation, use the module-level `grib2io.interpolate` function. -1131 -1132 Parameters -1133 ---------- -1134 **`method : int or str`** -1135 Interpolate method to use. This can either be an integer or string using -1136 the following mapping: -1137 -1138 | Interpolate Scheme | Integer Value | -1139 | :---: | :---: | -1140 | 'bilinear' | 0 | -1141 | 'bicubic' | 1 | -1142 | 'neighbor' | 2 | -1143 | 'budget' | 3 | -1144 | 'spectral' | 4 | -1145 | 'neighbor-budget' | 6 | +@@ -3761,115 +3776,115 @@1140 def interpolate(self, method, grid_def_out, method_options=None): +1141 """ +1142 Perform grid spatial interpolation via the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). +1143 +1144 **IMPORTANT:** This interpolate method only supports scalar interpolation. If you +1145 need to perform vector interpolation, use the module-level `grib2io.interpolate` function. 1146 -1147 **`grid_def_out : grib2io.Grib2GridDef`** -1148 Grib2GridDef object of the output grid. -1149 -1150 **`method_options : list of ints, optional`** -1151 Interpolation options. See the NCEPLIBS-ip doucmentation for -1152 more information on how these are used. -1153 -1154 Returns -1155 ------- -1156 If interpolating to a grid, a new Grib2Message object is returned. The GRIB2 metadata of -1157 the new Grib2Message object is indentical to the input except where required to be different -1158 because of the new grid specs. -1159 -1160 If interpolating to station points, the interpolated data values are returned as a numpy.ndarray. -1161 """ -1162 section0 = self.section0 -1163 section0[-1] = 0 -1164 gds = [0, grid_def_out.npoints, 0, 255, grid_def_out.gdtn] -1165 section3 = np.concatenate((gds,grid_def_out.gdt)) -1166 -1167 msg = Grib2Message(section0,self.section1,self.section2,section3, -1168 self.section4,self.section5,self.bitMapFlag.value) -1169 -1170 msg._msgnum = -1 -1171 msg._deflist = self._deflist -1172 msg._coordlist = self._coordlist -1173 shape = (msg.ny,msg.nx) -1174 ndim = 2 -1175 if msg.typeOfValues == 0: -1176 dtype = 'float32' -1177 elif msg.typeOfValues == 1: -1178 dtype = 'int32' -1179 msg._data = interpolate(self.data,method,Grib2GridDef.from_section3(self.section3),grid_def_out, -1180 method_options=method_options).reshape(msg.ny,msg.nx) -1181 return msg +1147 Parameters +1148 ---------- +1149 **`method : int or str`** +1150 Interpolate method to use. This can either be an integer or string using +1151 the following mapping: +1152 +1153 | Interpolate Scheme | Integer Value | +1154 | :---: | :---: | +1155 | 'bilinear' | 0 | +1156 | 'bicubic' | 1 | +1157 | 'neighbor' | 2 | +1158 | 'budget' | 3 | +1159 | 'spectral' | 4 | +1160 | 'neighbor-budget' | 6 | +1161 +1162 **`grid_def_out : grib2io.Grib2GridDef`** +1163 Grib2GridDef object of the output grid. +1164 +1165 **`method_options : list of ints, optional`** +1166 Interpolation options. See the NCEPLIBS-ip doucmentation for +1167 more information on how these are used. +1168 +1169 Returns +1170 ------- +1171 If interpolating to a grid, a new Grib2Message object is returned. The GRIB2 metadata of +1172 the new Grib2Message object is indentical to the input except where required to be different +1173 because of the new grid specs. +1174 +1175 If interpolating to station points, the interpolated data values are returned as a numpy.ndarray. +1176 """ +1177 section0 = self.section0 +1178 section0[-1] = 0 +1179 gds = [0, grid_def_out.npoints, 0, 255, grid_def_out.gdtn] +1180 section3 = np.concatenate((gds,grid_def_out.gdt)) +1181 +1182 msg = Grib2Message(section0,self.section1,self.section2,section3, +1183 self.section4,self.section5,self.bitMapFlag.value) +1184 +1185 msg._msgnum = -1 +1186 msg._deflist = self._deflist +1187 msg._coordlist = self._coordlist +1188 shape = (msg.ny,msg.nx) +1189 ndim = 2 +1190 if msg.typeOfValues == 0: +1191 dtype = 'float32' +1192 elif msg.typeOfValues == 1: +1193 dtype = 'int32' +1194 msg._data = interpolate(self.data,method,Grib2GridDef.from_section3(self.section3),grid_def_out, +1195 method_options=method_options).reshape(msg.ny,msg.nx) +1196 return msgReturns
1317def interpolate(a, method, grid_def_in, grid_def_out, method_options=None): -1318 """ -1319 This is the module-level interpolation function that interfaces with the grib2io_interp -1320 component pakcage that interfaces to the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). -1321 -1322 Parameters -1323 ---------- -1324 -1325 **`a : numpy.ndarray or tuple`** -1326 Input data. If `a` is a `numpy.ndarray`, scalar interpolation will be -1327 performed. If `a` is a `tuple`, then vector interpolation will be performed -1328 with the assumption that u = a[0] and v = a[1] and are both `numpy.ndarray`. -1329 -1330 These data are expected to be in 2-dimensional form with shape (ny, nx) or -1331 3-dimensional (:, ny, nx) where the 1st dimension represents another spatial, -1332 temporal, or classification (i.e. ensemble members) dimension. The function will -1333 properly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into -1334 the interpolation subroutines. -1335 -1336 **`method : int or str`** -1337 Interpolate method to use. This can either be an integer or string using -1338 the following mapping: +@@ -3960,135 +3975,135 @@1332def interpolate(a, method, grid_def_in, grid_def_out, method_options=None): +1333 """ +1334 This is the module-level interpolation function that interfaces with the grib2io_interp +1335 component pakcage that interfaces to the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). +1336 +1337 Parameters +1338 ---------- 1339 -1340 | Interpolate Scheme | Integer Value | -1341 | :---: | :---: | -1342 | 'bilinear' | 0 | -1343 | 'bicubic' | 1 | -1344 | 'neighbor' | 2 | -1345 | 'budget' | 3 | -1346 | 'spectral' | 4 | -1347 | 'neighbor-budget' | 6 | -1348 -1349 **`grid_def_in : grib2io.Grib2GridDef`** -1350 Grib2GridDef object for the input grid. -1351 -1352 **`grid_def_out : grib2io.Grib2GridDef`** -1353 Grib2GridDef object for the output grid or station points. +1340 **`a : numpy.ndarray or tuple`** +1341 Input data. If `a` is a `numpy.ndarray`, scalar interpolation will be +1342 performed. If `a` is a `tuple`, then vector interpolation will be performed +1343 with the assumption that u = a[0] and v = a[1] and are both `numpy.ndarray`. +1344 +1345 These data are expected to be in 2-dimensional form with shape (ny, nx) or +1346 3-dimensional (:, ny, nx) where the 1st dimension represents another spatial, +1347 temporal, or classification (i.e. ensemble members) dimension. The function will +1348 properly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into +1349 the interpolation subroutines. +1350 +1351 **`method : int or str`** +1352 Interpolate method to use. This can either be an integer or string using +1353 the following mapping: 1354 -1355 **`method_options : list of ints, optional`** -1356 Interpolation options. See the NCEPLIBS-ip doucmentation for -1357 more information on how these are used. -1358 -1359 Returns -1360 ------- -1361 Returns a `numpy.ndarray` when scalar interpolation is performed or -1362 a `tuple` of `numpy.ndarray`s when vector interpolation is performed -1363 with the assumptions that 0-index is the interpolated u and 1-index -1364 is the interpolated v. -1365 """ -1366 from grib2io_interp import interpolate -1367 -1368 if isinstance(method,int) and method not in _interp_schemes.values(): -1369 raise ValueError('Invalid interpolation method.') -1370 elif isinstance(method,str): -1371 if method in _interp_schemes.keys(): -1372 method = _interp_schemes[method] -1373 else: -1374 raise ValueError('Invalid interpolation method.') -1375 -1376 if method_options is None: -1377 method_options = np.zeros((20),dtype=np.int32) -1378 if method in {3,6}: -1379 method_options[0:2] = -1 -1380 -1381 ni = grid_def_in.npoints -1382 no = grid_def_out.npoints -1383 -1384 # Adjust shape of input array(s) -1385 a,newshp = _adjust_array_shape_for_interp(a,grid_def_in,grid_def_out) -1386 -1387 # Set lats and lons if stations, else create array for grids. -1388 if grid_def_out.gdtn == -1: -1389 rlat = np.array(grid_def_out.lats,dtype=np.float32) -1390 rlon = np.array(grid_def_out.lons,dtype=np.float32) -1391 else: -1392 rlat = np.zeros((no),dtype=np.float32) -1393 rlon = np.zeros((no),dtype=np.float32) -1394 -1395 # Call interpolation subroutines according to type of a. -1396 if isinstance(a,np.ndarray): -1397 # Scalar -1398 ibi = np.zeros((a.shape[0]),dtype=np.int32) -1399 li = np.zeros(a.shape,dtype=np.int32) -1400 go = np.zeros((a.shape[0],no),dtype=np.float32) -1401 no,ibo,lo,iret = interpolate.interpolate_scalar(method,method_options, -1402 grid_def_in.gdtn,grid_def_in.gdt, -1403 grid_def_out.gdtn,grid_def_out.gdt, -1404 ibi,li.T,a.T,go.T,rlat,rlon) -1405 out = go.reshape(newshp) -1406 elif isinstance(a,tuple): -1407 # Vector -1408 ibi = np.zeros((a[0].shape[0]),dtype=np.int32) -1409 li = np.zeros(a[0].shape,dtype=np.int32) -1410 uo = np.zeros((a[0].shape[0],no),dtype=np.float32) -1411 vo = np.zeros((a[1].shape[0],no),dtype=np.float32) -1412 crot = np.ones((no),dtype=np.float32) -1413 srot = np.zeros((no),dtype=np.float32) -1414 no,ibo,lo,iret = interpolate.interpolate_vector(method,method_options, -1415 grid_def_in.gdtn,grid_def_in.gdt, -1416 grid_def_out.gdtn,grid_def_out.gdt, -1417 ibi,li.T,a[0].T,a[1].T,uo.T,vo.T, -1418 rlat,rlon,crot,srot) -1419 del crot -1420 del srot -1421 out = (uo.reshape(newshp),vo.reshape(newshp)) -1422 -1423 del rlat -1424 del rlon -1425 return out +1355 | Interpolate Scheme | Integer Value | +1356 | :---: | :---: | +1357 | 'bilinear' | 0 | +1358 | 'bicubic' | 1 | +1359 | 'neighbor' | 2 | +1360 | 'budget' | 3 | +1361 | 'spectral' | 4 | +1362 | 'neighbor-budget' | 6 | +1363 +1364 **`grid_def_in : grib2io.Grib2GridDef`** +1365 Grib2GridDef object for the input grid. +1366 +1367 **`grid_def_out : grib2io.Grib2GridDef`** +1368 Grib2GridDef object for the output grid or station points. +1369 +1370 **`method_options : list of ints, optional`** +1371 Interpolation options. See the NCEPLIBS-ip doucmentation for +1372 more information on how these are used. +1373 +1374 Returns +1375 ------- +1376 Returns a `numpy.ndarray` when scalar interpolation is performed or +1377 a `tuple` of `numpy.ndarray`s when vector interpolation is performed +1378 with the assumptions that 0-index is the interpolated u and 1-index +1379 is the interpolated v. +1380 """ +1381 from grib2io_interp import interpolate +1382 +1383 if isinstance(method,int) and method not in _interp_schemes.values(): +1384 raise ValueError('Invalid interpolation method.') +1385 elif isinstance(method,str): +1386 if method in _interp_schemes.keys(): +1387 method = _interp_schemes[method] +1388 else: +1389 raise ValueError('Invalid interpolation method.') +1390 +1391 if method_options is None: +1392 method_options = np.zeros((20),dtype=np.int32) +1393 if method in {3,6}: +1394 method_options[0:2] = -1 +1395 +1396 ni = grid_def_in.npoints +1397 no = grid_def_out.npoints +1398 +1399 # Adjust shape of input array(s) +1400 a,newshp = _adjust_array_shape_for_interp(a,grid_def_in,grid_def_out) +1401 +1402 # Set lats and lons if stations, else create array for grids. +1403 if grid_def_out.gdtn == -1: +1404 rlat = np.array(grid_def_out.lats,dtype=np.float32) +1405 rlon = np.array(grid_def_out.lons,dtype=np.float32) +1406 else: +1407 rlat = np.zeros((no),dtype=np.float32) +1408 rlon = np.zeros((no),dtype=np.float32) +1409 +1410 # Call interpolation subroutines according to type of a. +1411 if isinstance(a,np.ndarray): +1412 # Scalar +1413 ibi = np.zeros((a.shape[0]),dtype=np.int32) +1414 li = np.zeros(a.shape,dtype=np.int32) +1415 go = np.zeros((a.shape[0],no),dtype=np.float32) +1416 no,ibo,lo,iret = interpolate.interpolate_scalar(method,method_options, +1417 grid_def_in.gdtn,grid_def_in.gdt, +1418 grid_def_out.gdtn,grid_def_out.gdt, +1419 ibi,li.T,a.T,go.T,rlat,rlon) +1420 out = go.reshape(newshp) +1421 elif isinstance(a,tuple): +1422 # Vector +1423 ibi = np.zeros((a[0].shape[0]),dtype=np.int32) +1424 li = np.zeros(a[0].shape,dtype=np.int32) +1425 uo = np.zeros((a[0].shape[0],no),dtype=np.float32) +1426 vo = np.zeros((a[1].shape[0],no),dtype=np.float32) +1427 crot = np.ones((no),dtype=np.float32) +1428 srot = np.zeros((no),dtype=np.float32) +1429 no,ibo,lo,iret = interpolate.interpolate_vector(method,method_options, +1430 grid_def_in.gdtn,grid_def_in.gdt, +1431 grid_def_out.gdtn,grid_def_out.gdt, +1432 ibi,li.T,a[0].T,a[1].T,uo.T,vo.T, +1433 rlat,rlon,crot,srot) +1434 del crot +1435 del srot +1436 out = (uo.reshape(newshp),vo.reshape(newshp)) +1437 +1438 del rlat +1439 del rlon +1440 return outReturns
1428def interpolate_to_stations(a, method, grid_def_in, lats, lons, method_options=None): -1429 """ -1430 This is the module-level interpolation function **for interpolation to stations** -1431 that interfaces with the grib2io_interp component pakcage that interfaces to -1432 the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). It supports -1433 scalar and vector interpolation according to the type of object a. -1434 -1435 Parameters -1436 ---------- -1437 **`a : numpy.ndarray or tuple`** -1438 Input data. If `a` is a `numpy.ndarray`, scalar interpolation will be -1439 performed. If `a` is a `tuple`, then vector interpolation will be performed -1440 with the assumption that u = a[0] and v = a[1] and are both `numpy.ndarray`. -1441 -1442 These data are expected to be in 2-dimensional form with shape (ny, nx) or -1443 3-dimensional (:, ny, nx) where the 1st dimension represents another spatial, -1444 temporal, or classification (i.e. ensemble members) dimension. The function will -1445 properly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into -1446 the interpolation subroutines. -1447 -1448 **`method : int or str`** -1449 Interpolate method to use. This can either be an integer or string using -1450 the following mapping: -1451 -1452 | Interpolate Scheme | Integer Value | -1453 | :---: | :---: | -1454 | 'bilinear' | 0 | -1455 | 'bicubic' | 1 | -1456 | 'neighbor' | 2 | -1457 | 'budget' | 3 | -1458 | 'spectral' | 4 | -1459 | 'neighbor-budget' | 6 | -1460 -1461 **`grid_def_in : grib2io.Grib2GridDef`** -1462 Grib2GridDef object for the input grid. -1463 -1464 **`lats : numpy.ndarray or list`** -1465 Latitudes for station points +@@ -4185,36 +4200,36 @@1443def interpolate_to_stations(a, method, grid_def_in, lats, lons, method_options=None): +1444 """ +1445 This is the module-level interpolation function **for interpolation to stations** +1446 that interfaces with the grib2io_interp component pakcage that interfaces to +1447 the [NCEPLIBS-ip library](https://github.com/NOAA-EMC/NCEPLIBS-ip). It supports +1448 scalar and vector interpolation according to the type of object a. +1449 +1450 Parameters +1451 ---------- +1452 **`a : numpy.ndarray or tuple`** +1453 Input data. If `a` is a `numpy.ndarray`, scalar interpolation will be +1454 performed. If `a` is a `tuple`, then vector interpolation will be performed +1455 with the assumption that u = a[0] and v = a[1] and are both `numpy.ndarray`. +1456 +1457 These data are expected to be in 2-dimensional form with shape (ny, nx) or +1458 3-dimensional (:, ny, nx) where the 1st dimension represents another spatial, +1459 temporal, or classification (i.e. ensemble members) dimension. The function will +1460 properly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into +1461 the interpolation subroutines. +1462 +1463 **`method : int or str`** +1464 Interpolate method to use. This can either be an integer or string using +1465 the following mapping: 1466 -1467 **`lons : numpy.ndarray or list`** -1468 Longitudes for station points -1469 -1470 **`method_options : list of ints, optional`** -1471 Interpolation options. See the NCEPLIBS-ip doucmentation for -1472 more information on how these are used. -1473 -1474 Returns -1475 ------- -1476 Returns a `numpy.ndarray` when scalar interpolation is performed or -1477 a `tuple` of `numpy.ndarray`s when vector interpolation is performed -1478 with the assumptions that 0-index is the interpolated u and 1-index -1479 is the interpolated v. -1480 """ -1481 from grib2io_interp import interpolate -1482 -1483 if isinstance(method,int) and method not in _interp_schemes.values(): -1484 raise ValueError('Invalid interpolation method.') -1485 elif isinstance(method,str): -1486 if method in _interp_schemes.keys(): -1487 method = _interp_schemes[method] -1488 else: -1489 raise ValueError('Invalid interpolation method.') -1490 -1491 if method_options is None: -1492 method_options = np.zeros((20),dtype=np.int32) -1493 if method in {3,6}: -1494 method_options[0:2] = -1 -1495 -1496 # Check lats and lons -1497 if isinstance(lats,list): -1498 nlats = len(lats) -1499 elif isinstance(lats,np.ndarray) and len(lats.shape) == 1: -1500 nlats = lats.shape[0] -1501 else: -1502 raise ValueError('Station latitudes must be a list or 1-D NumPy array.') -1503 if isinstance(lons,list): -1504 nlons = len(lons) -1505 elif isinstance(lons,np.ndarray) and len(lons.shape) == 1: -1506 nlons = lons.shape[0] -1507 else: -1508 raise ValueError('Station longitudes must be a list or 1-D NumPy array.') -1509 if nlats != nlons: -1510 raise ValueError('Station lats and lons must be same size.') -1511 -1512 ni = grid_def_in.npoints -1513 no = nlats -1514 -1515 # Adjust shape of input array(s) -1516 a,newshp = _adjust_array_shape_for_interp_stations(a,grid_def_in,no) -1517 -1518 # Set lats and lons if stations -1519 rlat = np.array(lats,dtype=np.float32) -1520 rlon = np.array(lons,dtype=np.float32) -1521 -1522 # Use gdtn = -1 for stations and an empty template array -1523 gdtn = -1 -1524 gdt = np.zeros((200),dtype=np.int32) -1525 -1526 # Call interpolation subroutines according to type of a. -1527 if isinstance(a,np.ndarray): -1528 # Scalar -1529 ibi = np.zeros((a.shape[0]),dtype=np.int32) -1530 li = np.zeros(a.shape,dtype=np.int32) -1531 go = np.zeros((a.shape[0],no),dtype=np.float32) -1532 no,ibo,lo,iret = interpolate.interpolate_scalar(method,method_options, -1533 grid_def_in.gdtn,grid_def_in.gdt, -1534 gdtn,gdt, -1535 ibi,li.T,a.T,go.T,rlat,rlon) -1536 out = go.reshape(newshp) -1537 elif isinstance(a,tuple): -1538 # Vector -1539 ibi = np.zeros((a[0].shape[0]),dtype=np.int32) -1540 li = np.zeros(a[0].shape,dtype=np.int32) -1541 uo = np.zeros((a[0].shape[0],no),dtype=np.float32) -1542 vo = np.zeros((a[1].shape[0],no),dtype=np.float32) -1543 crot = np.ones((no),dtype=np.float32) -1544 srot = np.zeros((no),dtype=np.float32) -1545 no,ibo,lo,iret = interpolate.interpolate_vector(method,method_options, -1546 grid_def_in.gdtn,grid_def_in.gdt, -1547 gdtn,gdt, -1548 ibi,li.T,a[0].T,a[1].T,uo.T,vo.T, -1549 rlat,rlon,crot,srot) -1550 del crot -1551 del srot -1552 out = (uo.reshape(newshp),vo.reshape(newshp)) -1553 -1554 del rlat -1555 del rlon -1556 return out +1467 | Interpolate Scheme | Integer Value | +1468 | :---: | :---: | +1469 | 'bilinear' | 0 | +1470 | 'bicubic' | 1 | +1471 | 'neighbor' | 2 | +1472 | 'budget' | 3 | +1473 | 'spectral' | 4 | +1474 | 'neighbor-budget' | 6 | +1475 +1476 **`grid_def_in : grib2io.Grib2GridDef`** +1477 Grib2GridDef object for the input grid. +1478 +1479 **`lats : numpy.ndarray or list`** +1480 Latitudes for station points +1481 +1482 **`lons : numpy.ndarray or list`** +1483 Longitudes for station points +1484 +1485 **`method_options : list of ints, optional`** +1486 Interpolation options. See the NCEPLIBS-ip doucmentation for +1487 more information on how these are used. +1488 +1489 Returns +1490 ------- +1491 Returns a `numpy.ndarray` when scalar interpolation is performed or +1492 a `tuple` of `numpy.ndarray`s when vector interpolation is performed +1493 with the assumptions that 0-index is the interpolated u and 1-index +1494 is the interpolated v. +1495 """ +1496 from grib2io_interp import interpolate +1497 +1498 if isinstance(method,int) and method not in _interp_schemes.values(): +1499 raise ValueError('Invalid interpolation method.') +1500 elif isinstance(method,str): +1501 if method in _interp_schemes.keys(): +1502 method = _interp_schemes[method] +1503 else: +1504 raise ValueError('Invalid interpolation method.') +1505 +1506 if method_options is None: +1507 method_options = np.zeros((20),dtype=np.int32) +1508 if method in {3,6}: +1509 method_options[0:2] = -1 +1510 +1511 # Check lats and lons +1512 if isinstance(lats,list): +1513 nlats = len(lats) +1514 elif isinstance(lats,np.ndarray) and len(lats.shape) == 1: +1515 nlats = lats.shape[0] +1516 else: +1517 raise ValueError('Station latitudes must be a list or 1-D NumPy array.') +1518 if isinstance(lons,list): +1519 nlons = len(lons) +1520 elif isinstance(lons,np.ndarray) and len(lons.shape) == 1: +1521 nlons = lons.shape[0] +1522 else: +1523 raise ValueError('Station longitudes must be a list or 1-D NumPy array.') +1524 if nlats != nlons: +1525 raise ValueError('Station lats and lons must be same size.') +1526 +1527 ni = grid_def_in.npoints +1528 no = nlats +1529 +1530 # Adjust shape of input array(s) +1531 a,newshp = _adjust_array_shape_for_interp_stations(a,grid_def_in,no) +1532 +1533 # Set lats and lons if stations +1534 rlat = np.array(lats,dtype=np.float32) +1535 rlon = np.array(lons,dtype=np.float32) +1536 +1537 # Use gdtn = -1 for stations and an empty template array +1538 gdtn = -1 +1539 gdt = np.zeros((200),dtype=np.int32) +1540 +1541 # Call interpolation subroutines according to type of a. +1542 if isinstance(a,np.ndarray): +1543 # Scalar +1544 ibi = np.zeros((a.shape[0]),dtype=np.int32) +1545 li = np.zeros(a.shape,dtype=np.int32) +1546 go = np.zeros((a.shape[0],no),dtype=np.float32) +1547 no,ibo,lo,iret = interpolate.interpolate_scalar(method,method_options, +1548 grid_def_in.gdtn,grid_def_in.gdt, +1549 gdtn,gdt, +1550 ibi,li.T,a.T,go.T,rlat,rlon) +1551 out = go.reshape(newshp) +1552 elif isinstance(a,tuple): +1553 # Vector +1554 ibi = np.zeros((a[0].shape[0]),dtype=np.int32) +1555 li = np.zeros(a[0].shape,dtype=np.int32) +1556 uo = np.zeros((a[0].shape[0],no),dtype=np.float32) +1557 vo = np.zeros((a[1].shape[0],no),dtype=np.float32) +1558 crot = np.ones((no),dtype=np.float32) +1559 srot = np.zeros((no),dtype=np.float32) +1560 no,ibo,lo,iret = interpolate.interpolate_vector(method,method_options, +1561 grid_def_in.gdtn,grid_def_in.gdt, +1562 gdtn,gdt, +1563 ibi,li.T,a[0].T,a[1].T,uo.T,vo.T, +1564 rlat,rlon,crot,srot) +1565 del crot +1566 del srot +1567 out = (uo.reshape(newshp),vo.reshape(newshp)) +1568 +1569 del rlat +1570 del rlon +1571 return outReturns
1559@dataclass -1560class Grib2GridDef: -1561 """ -1562 Class to hold GRIB2 Grid Definition Template Number and Template as -1563 class attributes. This allows for cleaner looking code when passing these -1564 metadata around. For example, the `grib2io._Grib2Message.interpolate` -1565 method and `grib2io.interpolate` function accepts these objects. -1566 """ -1567 gdtn: int -1568 gdt: np.array -1569 -1570 @classmethod -1571 def from_section3(cls, section3): -1572 return cls(section3[4],section3[5:]) -1573 -1574 @property -1575 def nx(self): -1576 return self.gdt[7] -1577 -1578 @property -1579 def ny(self): -1580 return self.gdt[8] -1581 -1582 @property -1583 def npoints(self): -1584 return self.gdt[7] * self.gdt[8] -1585 -1586 @property -1587 def shape(self): -1588 return (self.ny, self.nx) +@@ -4271,9 +4286,9 @@1574@dataclass +1575class Grib2GridDef: +1576 """ +1577 Class to hold GRIB2 Grid Definition Template Number and Template as +1578 class attributes. This allows for cleaner looking code when passing these +1579 metadata around. For example, the `grib2io._Grib2Message.interpolate` +1580 method and `grib2io.interpolate` function accepts these objects. +1581 """ +1582 gdtn: int +1583 gdt: np.array +1584 +1585 @classmethod +1586 def from_section3(cls, section3): +1587 return cls(section3[4],section3[5:]) +1588 +1589 @property +1590 def nx(self): +1591 return self.gdt[7] +1592 +1593 @property +1594 def ny(self): +1595 return self.gdt[8] +1596 +1597 @property +1598 def npoints(self): +1599 return self.gdt[7] * self.gdt[8] +1600 +1601 @property +1602 def shape(self): +1603 return (self.ny, self.nx)Returns
1570 @classmethod -1571 def from_section3(cls, section3): -1572 return cls(section3[4],section3[5:]) +@@ -4289,9 +4304,9 @@1585 @classmethod +1586 def from_section3(cls, section3): +1587 return cls(section3[4],section3[5:])Returns
1582 @property -1583 def npoints(self): -1584 return self.gdt[7] * self.gdt[8] + @@ -4343,9 +4358,9 @@Returns
1586 @property -1587 def shape(self): -1588 return (self.ny, self.nx) + diff --git a/docs/grib2io/tables/section4_discipline2.html b/docs/grib2io/tables/section4_discipline2.html index db43f1a..9bd30e3 100644 --- a/docs/grib2io/tables/section4_discipline2.html +++ b/docs/grib2io/tables/section4_discipline2.html @@ -219,7 +219,7 @@151'26':['Soil Heat Flux','W m-2','SHFLX'], 152'27':['Soil Depth','m','SOILDEP'], 153'28':['Snow Temperature','K','SNOWTMP'], -154'29':['Ice Temperature','K','ICETEMP'], +154'29':['Ice Temperature','K','ICETMP'], 155'30':['Soil wetness index','Numeric','SWET'], 156'31-191':['Reserved','unknown','unknown'], 157'192-254':['Reserved for Local Use','unknown','unknown'], @@ -321,7 +321,7 @@
table_4_2_2_3 = - {'0': ['Soil Type', 'See Table 4.213', 'SOTYP'], '1': ['Upper Layer Soil Temperature', 'K', 'UPLST'], '2': ['Upper Layer Soil Moisture', 'kg m-3', 'UPLSM'], '3': ['Lower Layer Soil Moisture', 'kg m-3', 'LOWLSM'], '4': ['Bottom Layer Soil Temperature', 'K', 'BOTLST'], '5': ['Liquid Volumetric Soil Moisture(non-frozen)', 'Proportion', 'SOILL'], '6': ['Number of Soil Layers in Root Zone', 'Numeric', 'RLYRS'], '7': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '8': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '9': ['Soil Porosity', 'Proportion', 'POROS'], '10': ['Liquid Volumetric Soil Moisture (Non-Frozen)', 'm3 m-3', 'LIQVSM'], '11': ['Volumetric Transpiration Stree-Onset(Soil Moisture)', 'm3 m-3', 'VOLTSO'], '12': ['Transpiration Stree-Onset(Soil Moisture)', 'kg m-3', 'TRANSO'], '13': ['Volumetric Direct Evaporation Cease(Soil Moisture)', 'm3 m-3', 'VOLDEC'], '14': ['Direct Evaporation Cease(Soil Moisture)', 'kg m-3', 'DIREC'], '15': ['Soil Porosity', 'm3 m-3', 'SOILP'], '16': ['Volumetric Saturation Of Soil Moisture', 'm3 m-3', 'VSOSM'], '17': ['Saturation Of Soil Moisture', 'kg m-3', 'SATOSM'], '18': ['Soil Temperature', 'K', 'SOILTMP'], '19': ['Soil Moisture', 'kg m-3', 'SOILMOI'], '20': ['Column-Integrated Soil Moisture', 'kg m-2', 'CISOILM'], '21': ['Soil Ice', 'kg m-3', 'SOILICE'], '22': ['Column-Integrated Soil Ice', 'kg m-2', 'CISICE'], '23': ['Liquid Water in Snow Pack', 'kg m-2', 'LWSNWP'], '24': ['Frost Index', 'kg day-1', 'FRSTINX'], '25': ['Snow Depth at Elevation Bands', 'kg m-2', 'SNWDEB'], '26': ['Soil Heat Flux', 'W m-2', 'SHFLX'], '27': ['Soil Depth', 'm', 'SOILDEP'], '28': ['Snow Temperature', 'K', 'SNOWTMP'], '29': ['Ice Temperature', 'K', 'ICETEMP'], '30': ['Soil wetness index', 'Numeric', 'SWET'], '31-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Liquid Volumetric Soil Moisture (non Frozen)', 'Proportion', 'SOILL'], '193': ['Number of Soil Layers in Root Zone', 'non-dim', 'RLYRS'], '194': ['Surface Slope Type', 'Index', 'SLTYP'], '195': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '196': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '197': ['Soil Porosity', 'Proportion', 'POROS'], '198': ['Direct Evaporation from Bare Soil', 'W m-2', 'EVBS'], '199': ['Land Surface Precipitation Accumulation', 'kg m-2', 'LSPA'], '200': ['Bare Soil Surface Skin temperature', 'K', 'BARET'], '201': ['Average Surface Skin Temperature', 'K', 'AVSFT'], '202': ['Effective Radiative Skin Temperature', 'K', 'RADT'], '203': ['Field Capacity', 'Fraction', 'FLDCP'], '204': ['Soil Moisture Availability In The Top Soil Layer', '%', 'MSTAV'], '255': ['Missing', 'unknown', 'unknown']} + {'0': ['Soil Type', 'See Table 4.213', 'SOTYP'], '1': ['Upper Layer Soil Temperature', 'K', 'UPLST'], '2': ['Upper Layer Soil Moisture', 'kg m-3', 'UPLSM'], '3': ['Lower Layer Soil Moisture', 'kg m-3', 'LOWLSM'], '4': ['Bottom Layer Soil Temperature', 'K', 'BOTLST'], '5': ['Liquid Volumetric Soil Moisture(non-frozen)', 'Proportion', 'SOILL'], '6': ['Number of Soil Layers in Root Zone', 'Numeric', 'RLYRS'], '7': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '8': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '9': ['Soil Porosity', 'Proportion', 'POROS'], '10': ['Liquid Volumetric Soil Moisture (Non-Frozen)', 'm3 m-3', 'LIQVSM'], '11': ['Volumetric Transpiration Stree-Onset(Soil Moisture)', 'm3 m-3', 'VOLTSO'], '12': ['Transpiration Stree-Onset(Soil Moisture)', 'kg m-3', 'TRANSO'], '13': ['Volumetric Direct Evaporation Cease(Soil Moisture)', 'm3 m-3', 'VOLDEC'], '14': ['Direct Evaporation Cease(Soil Moisture)', 'kg m-3', 'DIREC'], '15': ['Soil Porosity', 'm3 m-3', 'SOILP'], '16': ['Volumetric Saturation Of Soil Moisture', 'm3 m-3', 'VSOSM'], '17': ['Saturation Of Soil Moisture', 'kg m-3', 'SATOSM'], '18': ['Soil Temperature', 'K', 'SOILTMP'], '19': ['Soil Moisture', 'kg m-3', 'SOILMOI'], '20': ['Column-Integrated Soil Moisture', 'kg m-2', 'CISOILM'], '21': ['Soil Ice', 'kg m-3', 'SOILICE'], '22': ['Column-Integrated Soil Ice', 'kg m-2', 'CISICE'], '23': ['Liquid Water in Snow Pack', 'kg m-2', 'LWSNWP'], '24': ['Frost Index', 'kg day-1', 'FRSTINX'], '25': ['Snow Depth at Elevation Bands', 'kg m-2', 'SNWDEB'], '26': ['Soil Heat Flux', 'W m-2', 'SHFLX'], '27': ['Soil Depth', 'm', 'SOILDEP'], '28': ['Snow Temperature', 'K', 'SNOWTMP'], '29': ['Ice Temperature', 'K', 'ICETMP'], '30': ['Soil wetness index', 'Numeric', 'SWET'], '31-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Liquid Volumetric Soil Moisture (non Frozen)', 'Proportion', 'SOILL'], '193': ['Number of Soil Layers in Root Zone', 'non-dim', 'RLYRS'], '194': ['Surface Slope Type', 'Index', 'SLTYP'], '195': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '196': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '197': ['Soil Porosity', 'Proportion', 'POROS'], '198': ['Direct Evaporation from Bare Soil', 'W m-2', 'EVBS'], '199': ['Land Surface Precipitation Accumulation', 'kg m-2', 'LSPA'], '200': ['Bare Soil Surface Skin temperature', 'K', 'BARET'], '201': ['Average Surface Skin Temperature', 'K', 'AVSFT'], '202': ['Effective Radiative Skin Temperature', 'K', 'RADT'], '203': ['Field Capacity', 'Fraction', 'FLDCP'], '204': ['Soil Moisture Availability In The Top Soil Layer', '%', 'MSTAV'], '255': ['Missing', 'unknown', 'unknown']}diff --git a/docs/grib2io/templates.html b/docs/grib2io/templates.html index 735e75b..9d2cc76 100644 --- a/docs/grib2io/templates.html +++ b/docs/grib2io/templates.html @@ -3,7 +3,7 @@ - +grib2io.templates API documentation @@ -4335,13 +4335,20 @@Attributes
grib2io is a Python package that provides an interface to the NCEP GRIB2 C (g2c)\nlibrary for the purpose of reading and writing WMO GRIdded Binary, Edition 2 (GRIB2) messages. A physical file can contain one\nor more GRIB2 messages.
\n\nGRIB2 file IO is performed directly in Python. The unpacking/packing of GRIB2 integer, coded metadata and data sections is performed\nby the g2c library functions via the g2clib Cython wrapper module. The decoding/encoding of GRIB2 metadata is translated into more\ndescriptive, plain language metadata by looking up the integer code values against the appropriate GRIB2 code tables. These code tables\nare a part of the grib2io module.
\n\nThe following Jupyter Notebooks are available as tutorials:
\n\n\n"}, {"fullname": "grib2io.open", "modulename": "grib2io", "qualname": "open", "kind": "class", "doc": "GRIB2 File Object.
\n\nA physical file can contain one or more GRIB2 messages. When instantiated, class grib2io.open, \nthe file named filename is opened for reading (mode = 'r') and is automatically indexed.
\nThe indexing procedure reads some of the GRIB2 metadata for all GRIB2 Messages. A GRIB2 Message \nmay contain submessages whereby Section 2-7 can be repeated. grib2io accommodates for this by \nflattening any GRIB2 submessages into multiple individual messages.
mode : str\n File IO mode of opening the file.
name : str\n Full path name of the GRIB2 file.
messages : int\n Count of GRIB2 Messages contained in the file.
current_message : int\n Current position of the file in units of GRIB2 Messages.
size : int\n Size of the file in units of bytes.
closed : bool\n True is file handle is close; False otherwise.
variables : tuple\n Tuple containing a unique list of variable short names (i.e. GRIB2 abbreviation names).
levels : tuple\n Tuple containing a unique list of wgrib2-formatted level/layer strings.
Initialize GRIB2 File object instance.
\n\nfilename : str\n File name containing GRIB2 messages.
mode : str, optional\n File access mode where r opens the files for reading only; w opens the file for writing.
Close the file handle
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.read", "modulename": "grib2io", "qualname": "open.read", "kind": "function", "doc": "Read size amount of GRIB2 messages from the current position.
\n\nIf no argument is given, then size is None and all messages are returned from \nthe current position in the file. This read method follows the behavior of \nPython's builtin open() function, but whereas that operates on units of bytes, \nwe operate on units of GRIB2 messages.
\n\nsize : int, optional\n The number of GRIB2 messages to read from the current position. If no argument is\n give, the default value is None and remainder of the file is read.
Grib2Message object when size = 1 or a list of Grib2Messages when size > 1.
Set the position within the file in units of GRIB2 messages.
\n\npos : int\n The GRIB2 Message number to set the file pointer to.
Returns the position of the file in units of GRIB2 Messages.
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.select", "modulename": "grib2io", "qualname": "open.select", "kind": "function", "doc": "Select GRIB2 messages by Grib2Message attributes.
Writes GRIB2 message object to file.
\n\nmsg : Grib2Message or sequence of Grib2Messages\n GRIB2 message objects to write to file.
Flush the file object buffer.
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.levels_by_var", "modulename": "grib2io", "qualname": "open.levels_by_var", "kind": "function", "doc": "Return a list of level strings given a variable shortName.
\n\nname : str\n Grib2Message variable shortName
A list of strings of unique level strings.
\n", "signature": "(self, name):", "funcdef": "def"}, {"fullname": "grib2io.open.vars_by_level", "modulename": "grib2io", "qualname": "open.vars_by_level", "kind": "function", "doc": "Return a list of variable shortName strings given a level.
\n\nlevel : str\n Grib2Message variable level
A list of strings of variable shortName strings.
\n", "signature": "(self, level):", "funcdef": "def"}, {"fullname": "grib2io.Grib2Message", "modulename": "grib2io", "qualname": "Grib2Message", "kind": "class", "doc": "Creation class for a GRIB2 message.
\n"}, {"fullname": "grib2io.show_config", "modulename": "grib2io", "qualname": "show_config", "kind": "function", "doc": "Print grib2io build configuration information.
\n", "signature": "():", "funcdef": "def"}, {"fullname": "grib2io.interpolate", "modulename": "grib2io", "qualname": "interpolate", "kind": "function", "doc": "This is the module-level interpolation function that interfaces with the grib2io_interp\ncomponent pakcage that interfaces to the NCEPLIBS-ip library.
\n\na : numpy.ndarray or tuple\n Input data. If a is a numpy.ndarray, scalar interpolation will be\n performed. If a is a tuple, then vector interpolation will be performed\n with the assumption that u = a[0] and v = a[1] and are both numpy.ndarray.
These data are expected to be in 2-dimensional form with shape (ny, nx) or\n3-dimensional (:, ny, nx) where the 1st dimension represents another spatial,\ntemporal, or classification (i.e. ensemble members) dimension. The function will\nproperly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into\nthe interpolation subroutines.\nmethod : int or str\n Interpolate method to use. This can either be an integer or string using\n the following mapping:
| Interpolate Scheme | \nInteger Value | \n
|---|---|
| 'bilinear' | \n0 | \n
| 'bicubic' | \n1 | \n
| 'neighbor' | \n2 | \n
| 'budget' | \n3 | \n
| 'spectral' | \n4 | \n
| 'neighbor-budget' | \n6 | \n
grid_def_in : grib2io.Grib2GridDef\n Grib2GridDef object for the input grid.
grid_def_out : grib2io.Grib2GridDef\n Grib2GridDef object for the output grid or station points.
method_options : list of ints, optional\n Interpolation options. See the NCEPLIBS-ip doucmentation for\n more information on how these are used.
Returns a numpy.ndarray when scalar interpolation is performed or\na tuple of numpy.ndarrays when vector interpolation is performed\nwith the assumptions that 0-index is the interpolated u and 1-index\nis the interpolated v.
This is the module-level interpolation function for interpolation to stations\nthat interfaces with the grib2io_interp component pakcage that interfaces to\nthe NCEPLIBS-ip library. It supports\nscalar and vector interpolation according to the type of object a.
\n\na : numpy.ndarray or tuple\n Input data. If a is a numpy.ndarray, scalar interpolation will be\n performed. If a is a tuple, then vector interpolation will be performed\n with the assumption that u = a[0] and v = a[1] and are both numpy.ndarray.
These data are expected to be in 2-dimensional form with shape (ny, nx) or\n3-dimensional (:, ny, nx) where the 1st dimension represents another spatial,\ntemporal, or classification (i.e. ensemble members) dimension. The function will\nproperly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into\nthe interpolation subroutines.\nmethod : int or str\n Interpolate method to use. This can either be an integer or string using\n the following mapping:
| Interpolate Scheme | \nInteger Value | \n
|---|---|
| 'bilinear' | \n0 | \n
| 'bicubic' | \n1 | \n
| 'neighbor' | \n2 | \n
| 'budget' | \n3 | \n
| 'spectral' | \n4 | \n
| 'neighbor-budget' | \n6 | \n
grid_def_in : grib2io.Grib2GridDef\n Grib2GridDef object for the input grid.
lats : numpy.ndarray or list\n Latitudes for station points
lons : numpy.ndarray or list\n Longitudes for station points
method_options : list of ints, optional\n Interpolation options. See the NCEPLIBS-ip doucmentation for\n more information on how these are used.
Returns a numpy.ndarray when scalar interpolation is performed or\na tuple of numpy.ndarrays when vector interpolation is performed\nwith the assumptions that 0-index is the interpolated u and 1-index\nis the interpolated v.
Class to hold GRIB2 Grid Definition Template Number and Template as\nclass attributes. This allows for cleaner looking code when passing these\nmetadata around. For example, the grib2io._Grib2Message.interpolate\nmethod and grib2io.interpolate function accepts these objects.
Functions for retreiving data from NCEP GRIB2 Tables.
\n"}, {"fullname": "grib2io.tables.GRIB2_DISCIPLINES", "modulename": "grib2io.tables", "qualname": "GRIB2_DISCIPLINES", "kind": "variable", "doc": "\n", "default_value": "[0, 1, 2, 3, 4, 10, 20]"}, {"fullname": "grib2io.tables.get_table", "modulename": "grib2io.tables", "qualname": "get_table", "kind": "function", "doc": "Return GRIB2 code table as a dictionary.
\n\ntable : str\n Code table number (e.g. '1.0'). NOTE: Code table '4.1' requires a 3rd value\n representing the product discipline (e.g. '4.1.0').
expand : bool, optional\n If True, expand output dictionary where keys are a range.
Table as a dict.
Return the definition given a GRIB2 code table.
\n\nvalue : int or str\n Code table value.
table : str\n Code table number.
expand : bool, optional\n If True, expand output dictionary where keys are a range.
Table value or None if not found.
Return the GRIB2 variable information given values of discipline,\nparmcat, and parmnum. NOTE: This functions allows for all arguments\nto be converted to a string type if arguments are integer.
discipline : int or str\n Discipline code value of a GRIB2 message.
parmcat : int or str\n Parameter Category value of a GRIB2 message.
parmnum : int or str\n Parameter Number value of a GRIB2 message.
isNDFD : bool, optional\n If True, signals function to try to get variable information from \n the supplemental NDFD tables.
list containing variable information. \"Unknown\" is given for item of\ninformation if variable is not found.\n - list[0] = full name\n - list[1] = units\n - list[2] = short name (abbreviated name)
Returns a list of variable shortNames given GRIB2 discipline, parameter\ncategory, and parameter number. If all 3 args are None, then shortNames\nfrom all disciplines, parameter categories, and numbers will be returned.
\n\ndiscipline : int\n GRIB2 discipline code value.
parmcat : int\n GRIB2 parameter category value.
parmnum : int or str\n Parameter Number value of a GRIB2 message.
list of GRIB2 shortNames.
Provide GRIB2 variable metadata attributes given a GRIB2 shortName.
\n\nshortname : str\n GRIB2 variable shortName.
list of dictionary items where each dictionary items contains the variable\nmetadata key:value pairs. NOTE: Some variable shortNames will exist in multiple\nparameter category/number tables according to the GRIB2 discipline.
Return a string that describes the level or layer of the GRIB2 message. The\nformat and language of the string is an exact replica of how wgrib2 produces\nthe level/layer string in its inventory output.
\n\nContents of wgrib2 source, Level.c,\nwere converted into a Python dictionary and stored in grib2io as table\n'wgrib2_level_string'.
\n\npdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Sequence containing GRIB2 Product Definition Template (Section 4).
wgrib2-formatted level/layer string.
\n", "signature": "(pdtn, pdt):", "funcdef": "def"}, {"fullname": "grib2io.tables.originating_centers", "modulename": "grib2io.tables.originating_centers", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.originating_centers.table_originating_centers", "modulename": "grib2io.tables.originating_centers", "qualname": "table_originating_centers", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Melbourne (WMC)', '2': 'Melbourne (WMC)', '3': 'Melbourne (WMC)', '4': 'Moscow (WMC)', '5': 'Moscow (WMC)', '6': 'Moscow (WMC)', '7': 'US National Weather Service - NCEP (WMC)', '8': 'US National Weather Service - NWSTG (WMC)', '9': 'US National Weather Service - Other (WMC)', '10': 'Cairo (RSMC/RAFC)', '11': 'Cairo (RSMC/RAFC)', '12': 'Dakar (RSMC/RAFC)', '13': 'Dakar (RSMC/RAFC)', '14': 'Nairobi (RSMC/RAFC)', '15': 'Nairobi (RSMC/RAFC)', '16': 'Casablanca (RSMC)', '17': 'Tunis (RSMC)', '18': 'Tunis-Casablanca (RSMC)', '19': 'Tunis-Casablanca (RSMC)', '20': 'Las Palmas (RAFC)', '21': 'Algiers (RSMC)', '22': 'ACMAD', '23': 'Mozambique (NMC)', '24': 'Pretoria (RSMC)', '25': 'La Reunion (RSMC)', '26': 'Khabarovsk (RSMC)', '27': 'Khabarovsk (RSMC)', '28': 'New Delhi (RSMC/RAFC)', '29': 'New Delhi (RSMC/RAFC)', '30': 'Novosibirsk (RSMC)', '31': 'Novosibirsk (RSMC)', '32': 'Tashkent (RSMC)', '33': 'Jeddah (RSMC)', '34': 'Tokyo (RSMC), Japanese Meteorological Agency', '35': 'Tokyo (RSMC), Japanese Meteorological Agency', '36': 'Bankok', '37': 'Ulan Bator', '38': 'Beijing (RSMC)', '39': 'Beijing (RSMC)', '40': 'Seoul', '41': 'Buenos Aires (RSMC/RAFC)', '42': 'Buenos Aires (RSMC/RAFC)', '43': 'Brasilia (RSMC/RAFC)', '44': 'Brasilia (RSMC/RAFC)', '45': 'Santiago', '46': 'Brazilian Space Agency - INPE', '47': 'Columbia (NMC)', '48': 'Ecuador (NMC)', '49': 'Peru (NMC)', '50': 'Venezuela (NMC)', '51': 'Miami (RSMC/RAFC)', '52': 'Miami (RSMC), National Hurricane Center', '53': 'Canadian Meteorological Service - Montreal (RSMC)', '54': 'Canadian Meteorological Service - Montreal (RSMC)', '55': 'San Francisco', '56': 'ARINC Center', '57': 'US Air Force - Air Force Global Weather Center', '58': 'Fleet Numerical Meteorology and Oceanography Center,Monterey,CA,USA', '59': 'The NOAA Forecast Systems Lab, Boulder, CO, USA', '60': 'National Center for Atmospheric Research (NCAR), Boulder, CO', '61': 'Service ARGOS - Landover, MD, USA', '62': 'US Naval Oceanographic Office', '63': 'International Research Institude for Climate and Society', '64': 'Honolulu', '65': 'Darwin (RSMC)', '66': 'Darwin (RSMC)', '67': 'Melbourne (RSMC)', '68': 'Reserved', '69': 'Wellington (RSMC/RAFC)', '70': 'Wellington (RSMC/RAFC)', '71': 'Nadi (RSMC)', '72': 'Singapore', '73': 'Malaysia (NMC)', '74': 'U.K. Met Office - Exeter (RSMC)', '75': 'U.K. Met Office - Exeter (RSMC)', '76': 'Moscow (RSMC/RAFC)', '77': 'Reserved', '78': 'Offenbach (RSMC)', '79': 'Offenbach (RSMC)', '80': 'Rome (RSMC)', '81': 'Rome (RSMC)', '82': 'Norrkoping', '83': 'Norrkoping', '84': 'French Weather Service - Toulouse', '85': 'French Weather Service - Toulouse', '86': 'Helsinki', '87': 'Belgrade', '88': 'Oslo', '89': 'Prague', '90': 'Episkopi', '91': 'Ankara', '92': 'Frankfurt/Main (RAFC)', '93': 'London (WAFC)', '94': 'Copenhagen', '95': 'Rota', '96': 'Athens', '97': 'European Space Agency (ESA)', '98': 'European Center for Medium-Range Weather Forecasts (RSMC)', '99': 'De Bilt, Netherlands', '100': 'Brazzaville', '101': 'Abidjan', '102': 'Libyan Arab Jamahiriya (NMC)', '103': 'Madagascar (NMC)', '104': 'Mauritius (NMC)', '105': 'Niger (NMC)', '106': 'Seychelles (NMC)', '107': 'Uganda (NMC)', '108': 'United Republic of Tanzania (NMC)', '109': 'Zimbabwe (NMC)', '110': 'Hong-Kong', '111': 'Afghanistan (NMC)', '112': 'Bahrain (NMC)', '113': 'Bangladesh (NMC)', '114': 'Bhutan (NMC)', '115': 'Cambodia (NMC)', '116': 'Democratic Peoples Republic of Korea (NMC)', '117': 'Islamic Republic of Iran (NMC)', '118': 'Iraq (NMC)', '119': 'Kazakhstan (NMC)', '120': 'Kuwait (NMC)', '121': 'Kyrgyz Republic (NMC)', '122': 'Lao Peoples Democratic Republic (NMC)', '123': 'Macao, China', '124': 'Maldives (NMC)', '125': 'Myanmar (NMC)', '126': 'Nepal (NMC)', '127': 'Oman (NMC)', '128': 'Pakistan (NMC)', '129': 'Qatar (NMC)', '130': 'Yemen (NMC)', '131': 'Sri Lanka (NMC)', '132': 'Tajikistan (NMC)', '133': 'Turkmenistan (NMC)', '134': 'United Arab Emirates (NMC)', '135': 'Uzbekistan (NMC)', '136': 'Viet Nam (NMC)', '137-139': 'Reserved', '140': 'Bolivia (NMC)', '141': 'Guyana (NMC)', '142': 'Paraguay (NMC)', '143': 'Suriname (NMC)', '144': 'Uruguay (NMC)', '145': 'French Guyana', '146': 'Brazilian Navy Hydrographic Center', '147': 'National Commission on Space Activities - Argentina', '148': 'Brazilian Department of Airspace Control - DECEA', '149': 'Reserved', '150': 'Antigua and Barbuda (NMC)', '151': 'Bahamas (NMC)', '152': 'Barbados (NMC)', '153': 'Belize (NMC)', '154': 'British Caribbean Territories Center', '155': 'San Jose', '156': 'Cuba (NMC)', '157': 'Dominica (NMC)', '158': 'Dominican Republic (NMC)', '159': 'El Salvador (NMC)', '160': 'US NOAA/NESDIS', '161': 'US NOAA Office of Oceanic and Atmospheric Research', '162': 'Guatemala (NMC)', '163': 'Haiti (NMC)', '164': 'Honduras (NMC)', '165': 'Jamaica (NMC)', '166': 'Mexico City', '167': 'Netherlands Antilles and Aruba (NMC)', '168': 'Nicaragua (NMC)', '169': 'Panama (NMC)', '170': 'Saint Lucia (NMC)', '171': 'Trinidad and Tobago (NMC)', '172': 'French Departments in RA IV', '173': 'US National Aeronautics and Space Administration (NASA)', '174': 'Integrated System Data Management/Marine Environmental Data Service (ISDM/MEDS) - Canada', '175': 'Reserved', '176': 'US Cooperative Institude for Meteorological Satellite Studies', '177-189': 'Reserved', '190': 'Cook Islands (NMC)', '191': 'French Polynesia (NMC)', '192': 'Tonga (NMC)', '193': 'Vanuatu (NMC)', '194': 'Brunei (NMC)', '195': 'Indonesia (NMC)', '196': 'Kiribati (NMC)', '197': 'Federated States of Micronesia (NMC)', '198': 'New Caledonia (NMC)', '199': 'Niue', '200': 'Papua New Guinea (NMC)', '201': 'Philippines (NMC)', '202': 'Samoa (NMC)', '203': 'Solomon Islands (NMC)', '204': 'Narional Institude of Water and Atmospheric Research - New Zealand', '205-209': 'Reserved', '210': 'Frascati (ESA/ESRIN)', '211': 'Lanion', '212': 'Lisbon', '213': 'Reykjavik', '214': 'Madrid', '215': 'Zurich', '216': 'Service ARGOS - Toulouse', '217': 'Bratislava', '218': 'Budapest', '219': 'Ljubljana', '220': 'Warsaw', '221': 'Zagreb', '222': 'Albania (NMC)', '223': 'Armenia (NMC)', '224': 'Austria (NMC)', '225': 'Azerbaijan (NMC)', '226': 'Belarus (NMC)', '227': 'Belgium (NMC)', '228': 'Bosnia and Herzegovina (NMC)', '229': 'Bulgaria (NMC)', '230': 'Cyprus (NMC)', '231': 'Estonia (NMC)', '232': 'Georgia (NMC)', '233': 'Dublin', '234': 'Israel (NMC)', '235': 'Jordan (NMC)', '236': 'Latvia (NMC)', '237': 'Lebanon (NMC)', '238': 'Lithuania (NMC)', '239': 'Luxembourg', '240': 'Malta (NMC)', '241': 'Monaco', '242': 'Romania (NMC)', '243': 'Syrian Arab Republic (NMC)', '244': 'The former Yugoslav Republic of Macedonia (NMC)', '245': 'Ukraine (NMC)', '246': 'Republic of Moldova (NMC)', '247': 'Operational Programme for the Exchange of Weather RAdar Information (OPERA) - EUMETNET', '248-249': 'Reserved', '250': 'COnsortium for Small scale MOdelling (COSMO)', '251-253': 'Reserved', '254': 'EUMETSAT Operations Center', '255': 'Missing Value'}"}, {"fullname": "grib2io.tables.originating_centers.table_originating_subcenters", "modulename": "grib2io.tables.originating_centers", "qualname": "table_originating_subcenters", "kind": "variable", "doc": "\n", "default_value": "{'1': 'NCEP Re-Analysis Project', '2': 'NCEP Ensemble Products', '3': 'NCEP Central Operations', '4': 'Environmental Modeling Center', '5': 'Weather Prediction Center', '6': 'Ocean Prediction Center', '7': 'Climate Prediction Center', '8': 'Aviation Weather Center', '9': 'Storm Prediction Center', '10': 'National Hurricane Center', '11': 'NWS Techniques Development Laboratory', '12': 'NESDIS Office of Research and Applications', '13': 'Federal Aviation Administration', '14': 'NWS Meteorological Development Laboratory', '15': 'North American Regional Reanalysis Project', '16': 'Space Weather Prediction Center', '17': 'ESRL Global Systems Division'}"}, {"fullname": "grib2io.tables.originating_centers.table_generating_process", "modulename": "grib2io.tables.originating_centers", "qualname": "table_generating_process", "kind": "variable", "doc": "\n", "default_value": "{'0-1': 'Reserved', '2': 'Ultra Violet Index Model', '3': 'NCEP/ARL Transport and Dispersion Model', '4': 'NCEP/ARL Smoke Model', '5': 'Satellite Derived Precipitation and temperatures, from IR (See PDS Octet 41 ... for specific satellite ID)', '6': 'NCEP/ARL Dust Model', '7-9': 'Reserved', '10': 'Global Wind-Wave Forecast Model', '11': 'Global Multi-Grid Wave Model (Static Grids)', '12': 'Probabilistic Storm Surge (P-Surge)', '13': 'Hurricane Multi-Grid Wave Model', '14': 'Extra-tropical Storm Surge Atlantic Domain', '15': 'Nearshore Wave Prediction System (NWPS)', '16': 'Extra-Tropical Storm Surge (ETSS)', '17': 'Extra-tropical Storm Surge Pacific Domain', '18': 'Probabilistic Extra-Tropical Storm Surge (P-ETSS)', '19': 'Reserved', '20': 'Extra-tropical Storm Surge Micronesia Domain', '21': 'Extra-tropical Storm Surge Atlantic Domain (3D)', '22': 'Extra-tropical Storm Surge Pacific Domain (3D)', '23': 'Extra-tropical Storm Surge Micronesia Domain (3D)', '24': 'Reserved', '25': 'Snow Cover Analysis', '26-29': 'Reserved', '30': 'Forecaster generated field', '31': 'Value added post processed field', '32-41': 'Reserved', '42': 'Global Optimum Interpolation Analysis (GOI) from GFS model', '43': 'Global Optimum Interpolation Analysis (GOI) from "Final" run', '44': 'Sea Surface Temperature Analysis', '45': 'Coastal Ocean Circulation Model', '46': 'HYCOM - Global', '47': 'HYCOM - North Pacific basin', '48': 'HYCOM - North Atlantic basin', '49': 'Ozone Analysis from TIROS Observations', '50-51': 'Reserved', '52': 'Ozone Analysis from Nimbus 7 Observations', '53-63': 'Reserved', '64': 'Regional Optimum Interpolation Analysis (ROI)', '65-67': 'Reserved', '68': '80 wave triangular, 18-layer Spectral model from GFS model', '69': '80 wave triangular, 18 layer Spectral model from "Medium Range Forecast" run', '70': 'Quasi-Lagrangian Hurricane Model (QLM)', '71': 'Hurricane Weather Research and Forecasting (HWRF)', '72': 'Hurricane Non-Hydrostatic Multiscale Model on the B Grid (HNMMB)', '73': 'Fog Forecast model - Ocean Prod. Center', '74': 'Gulf of Mexico Wind/Wave', '75': 'Gulf of Alaska Wind/Wave', '76': 'Bias corrected Medium Range Forecast', '77': '126 wave triangular, 28 layer Spectral model from GFS model', '78': '126 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run', '79': 'Reserved', '80': '62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run', '81': 'Analysis from GFS (Global Forecast System)', '82': 'Analysis from GDAS (Global Data Assimilation System)', '83': 'High Resolution Rapid Refresh (HRRR)', '84': 'MESO NAM Model (currently 12 km)', '85': 'Real Time Ocean Forecast System (RTOFS)', '86': 'Early Hurricane Wind Speed Probability Model', '87': 'CAC Ensemble Forecasts from Spectral (ENSMB)', '88': 'NOAA Wave Watch III (NWW3) Ocean Wave Model', '89': 'Non-hydrostatic Meso Model (NMM) (Currently 8 km)', '90': '62 wave triangular, 28 layer spectral model extension of the "Medium Range Forecast" run', '91': '62 wave triangular, 28 layer spectral model extension of the GFS model', '92': '62 wave triangular, 28 layer spectral model run from the "Medium Range Forecast" final analysis', '93': '62 wave triangular, 28 layer spectral model run from the T62 GDAS analysis of the "Medium Range Forecast" run', '94': 'T170/L42 Global Spectral Model from MRF run', '95': 'T126/L42 Global Spectral Model from MRF run', '96': 'Global Forecast System Model T1534 - Forecast hours 00-384 T574 - Forecast hours 00-192 T190 - Forecast hours 204-384', '97': 'Reserved', '98': 'Climate Forecast System Model -- Atmospheric model (GFS) coupled to a multi level ocean model . Currently GFS spectral model at T62, 64 levels coupled to 40 level MOM3 ocean model.', '99': 'Miscellaneous Test ID', '100': 'Miscellaneous Test ID', '101': 'Conventional Observation Re-Analysis (CORE)', '102-103': 'Reserved', '104': 'National Blend GRIB', '105': 'Rapid Refresh (RAP)', '106': 'Reserved', '107': 'Global Ensemble Forecast System (GEFS)', '108': 'Localized Aviation MOS Program (LAMP)', '109': 'Real Time Mesoscale Analysis (RTMA)', '110': 'NAM Model - 15km version', '111': 'NAM model, generic resolution (Used in SREF processing)', '112': 'WRF-NMM model, generic resolution (Used in various runs) NMM=Nondydrostatic Mesoscale Model (NCEP)', '113': 'Products from NCEP SREF processing', '114': 'NAEFS Products from joined NCEP, CMC global ensembles', '115': 'Downscaled GFS from NAM eXtension', '116': 'WRF-EM model, generic resolution (Used in various runs) EM - Eulerian Mass-core (NCAR - aka Advanced Research WRF)', '117': 'NEMS GFS Aerosol Component', '118': 'UnRestricted Mesoscale Analysis (URMA)', '119': 'WAM (Whole Atmosphere Model)', '120': 'Ice Concentration Analysis', '121': 'Western North Atlantic Regional Wave Model', '122': 'Alaska Waters Regional Wave Model', '123': 'North Atlantic Hurricane Wave Model', '124': 'Eastern North Pacific Regional Wave Model', '125': 'North Pacific Hurricane Wave Model', '126': 'Sea Ice Forecast Model', '127': 'Lake Ice Forecast Model', '128': 'Global Ocean Forecast Model', '129': 'Global Ocean Data Analysis System (GODAS)', '130': 'Merge of fields from the RUC, NAM, and Spectral Model', '131': 'Great Lakes Wave Model', '132': 'High Resolution Ensemble Forecast (HREF)', '133': 'Great Lakes Short Range Wave Model', '134': 'Rapid Refresh Forecast System (RRFS)', '135': 'Hurricane Analysis and Forecast System (HAFS)', '136-139': 'Reserved', '140': 'North American Regional Reanalysis (NARR)', '141': 'Land Data Assimilation and Forecast System', '142-149': 'Reserved', '150': 'NWS River Forecast System (NWSRFS)', '151': 'NWS Flash Flood Guidance System (NWSFFGS)', '152': 'WSR-88D Stage II Precipitation Analysis', '153': 'WSR-88D Stage III Precipitation Analysis', '154-179': 'Reserved', '180': 'Quantitative Precipitation Forecast generated by NCEP', '181': 'River Forecast Center Quantitative Precipitation Forecast mosaic generated by NCEP', '182': 'River Forecast Center Quantitative Precipitation estimate mosaic generated by NCEP', '183': 'NDFD product generated by NCEP/HPC', '184': 'Climatological Calibrated Precipitation Analysis (CCPA)', '185-189': 'Reserved', '190': 'National Convective Weather Diagnostic generated by NCEP/AWC', '191': 'Current Icing Potential automated product genterated by NCEP/AWC', '192': 'Analysis product from NCEP/AWC', '193': 'Forecast product from NCEP/AWC', '194': 'Reserved', '195': 'Climate Data Assimilation System 2 (CDAS2)', '196': 'Climate Data Assimilation System 2 (CDAS2) - used for regeneration runs', '197': 'Climate Data Assimilation System (CDAS)', '198': 'Climate Data Assimilation System (CDAS) - used for regeneration runs', '199': 'Climate Forecast System Reanalysis (CFSR) -- Atmospheric model (GFS) coupled to a multi level ocean, land and seaice model. GFS spectral model at T382, 64 levels coupled to 40 level MOM4 ocean model.', '200': 'CPC Manual Forecast Product', '201': 'CPC Automated Product', '202-209': 'Reserved', '210': 'EPA Air Quality Forecast - Currently North East US domain', '211': 'EPA Air Quality Forecast - Currently Eastern US domain', '212-214': 'Reserved', '215': 'SPC Manual Forecast Product', '216-219': 'Reserved', '220': 'NCEP/OPC automated product', '221-230': 'Reserved for WPC products', '231-254': 'Reserved', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section0", "modulename": "grib2io.tables.section0", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section0.table_0_0", "modulename": "grib2io.tables.section0", "qualname": "table_0_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Meteorological Products', '1': 'Hydrological Products', '2': 'Land Surface Products', '3': 'Satellite Remote Sensing Products', '4': 'Space Weather Products', '5-9': 'Reserved', '10': 'Oceanographic Products', '11-19': 'Reserved', '20': 'Health and Socioeconomic Impacts', '21-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1", "modulename": "grib2io.tables.section1", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section1.table_1_0", "modulename": "grib2io.tables.section1", "qualname": "table_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Experimental', '1': 'Version Implemented on 7 November 2001', '2': 'Version Implemented on 4 November 2003', '3': 'Version Implemented on 2 November 2005', '4': 'Version Implemented on 7 November 2007', '5': 'Version Implemented on 4 November 2009', '6': 'Version Implemented on 15 September 2010', '7': 'Version Implemented on 4 May 2011', '8': 'Version Implemented on 8 November 2011', '9': 'Version Implemented on 2 May 2012', '10': 'Version Implemented on 7 November 2012', '11': 'Version Implemented on 8 May 2013', '12': 'Version Implemented on 14 November 2013', '13': 'Version Implemented on 7 May 2014', '14': 'Version Implemented on 5 November 2014', '16': 'Version Implemented on 11 November 2015', '17': 'Version Implemented on 4 May 2016', '18': 'Version Implemented on 2 November 2016', '19': 'Version Implemented on 3 May 2017', '20': 'Version Implemented on 8 November 2017', '21': 'Version Implemented on 2 May 2018', '22': 'Version Implemented on 7 November 2018', '23': 'Version Implemented on 15 May 2019', '24': 'Version Implemented on 06 November 2019', '25': 'Version Implemented on 06 May 2020', '26': 'Version Implemented on 16 November 2020', '27': 'Version Implemented on 16 June 2021', '28': 'Version Implemented on 15 November 2021', '29': 'Version Implemented on 15 May 2022', '30': 'Version Implemented on 15 November 2022', '31': 'Version Implemented on 15 June 2023', '32': 'Version Implemented on 30 November 2023', '33': 'Pre-operational to be implemented by next amendment', '34-254': 'Future Version', '255': 'Missing"'}"}, {"fullname": "grib2io.tables.section1.table_1_1", "modulename": "grib2io.tables.section1", "qualname": "table_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Local tables not used. Only table entries and templates from the current master table are valid.', '1-254': 'Number of local table version used.', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_2", "modulename": "grib2io.tables.section1", "qualname": "table_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis', '1': 'Start of Forecast', '2': 'Verifying Time of Forecast', '3': 'Observation Time', '4': 'Local Time', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_3", "modulename": "grib2io.tables.section1", "qualname": "table_1_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Operational Products', '1': 'Operational Test Products', '2': 'Research Products', '3': 'Re-Analysis Products', '4': 'THORPEX Interactive Grand Global Ensemble (TIGGE)', '5': 'THORPEX Interactive Grand Global Ensemble (TIGGE) test', '6': 'S2S Operational Products', '7': 'S2S Test Products', '8': 'Uncertainties in ensembles of regional reanalysis project (UERRA)', '9': 'Uncertainties in ensembles of regional reanalysis project (UERRA) Test', '10': 'Copernicus Regional Reanalysis', '11': 'Copernicus Regional Reanalysis Test', '12': 'Destination Earth', '13': 'Destination Earth test', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_4", "modulename": "grib2io.tables.section1", "qualname": "table_1_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis Products', '1': 'Forecast Products', '2': 'Analysis and Forecast Products', '3': 'Control Forecast Products', '4': 'Perturbed Forecast Products', '5': 'Control and Perturbed Forecast Products', '6': 'Processed Satellite Observations', '7': 'Processed Radar Observations', '8': 'Event Probability', '9-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Experimental Products', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_5", "modulename": "grib2io.tables.section1", "qualname": "table_1_5", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Calendar Definition', '1': 'Paleontological Offset', '2': 'Calendar Definition and Paleontological Offset', '3-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_6", "modulename": "grib2io.tables.section1", "qualname": "table_1_6", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Gregorian', '1': '360-day', '2': '365-day', '3': 'Proleptic Gregorian', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3", "modulename": "grib2io.tables.section3", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section3.table_3_0", "modulename": "grib2io.tables.section3", "qualname": "table_3_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Specified in Code Table 3.1', '1': 'Predetermined Grid Definition - Defined by Originating Center', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'A grid definition does not apply to this product.'}"}, {"fullname": "grib2io.tables.section3.table_3_1", "modulename": "grib2io.tables.section3", "qualname": "table_3_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Latitude/Longitude', '1': 'Rotated Latitude/Longitude', '2': 'Stretched Latitude/Longitude', '3': 'Rotated and Stretched Latitude/Longitude', '4': 'Variable Resolution Latitude/longitude ', '5': 'Variable Resolution Rotated Latitude/longitude ', '6-9': 'Reserved', '10': 'Mercator', '11': 'Reserved', '12': 'Transverse Mercator ', '13': 'Mercator with modelling subdomains definition ', '14-19': 'Reserved', '20': 'Polar Stereographic Projection (Can be North or South)', '21-22': 'Reserved', '23': 'Polar Stereographic with modelling subdomains definition ', '24-29': 'Reserved', '30': 'Lambert Conformal (Can be Secant, Tangent, Conical, or Bipolar)', '31': 'Albers Equal Area', '32': 'Reserved', '33': 'Lambert conformal with modelling subdomains definition ', '34-39': 'Reserved', '40': 'Gaussian Latitude/Longitude', '41': 'Rotated Gaussian Latitude/Longitude', '42': 'Stretched Gaussian Latitude/Longitude', '43': 'Rotated and Stretched Gaussian Latitude/Longitude', '44-49': 'Reserved', '50': 'Spherical Harmonic Coefficients', '51': 'Rotated Spherical Harmonic Coefficients', '52': 'Stretched Spherical Harmonic Coefficients', '53': 'Rotated and Stretched Spherical Harmonic Coefficients', '54-59': 'Reserved', '60': 'Cubed-Sphere Gnomonic ', '61': 'Spectral Mercator with modelling subdomains definition ', '62': 'Spectral Polar Stereographic with modelling subdomains definition ', '63': 'Spectral Lambert conformal with modelling subdomains definition ', '64-89': 'Reserved', '90': 'Space View Perspective or Orthographic', '91-99': 'Reserved', '100': 'Triangular Grid Based on an Icosahedron', '101': 'General Unstructured Grid (see Template 3.101)', '102-109': 'Reserved', '110': 'Equatorial Azimuthal Equidistant Projection', '111-119': 'Reserved', '120': 'Azimuth-Range Projection', '121-139': 'Reserved', '140': 'Lambert Azimuthal Equal Area Projection ', '141-149': 'Reserved', '150': 'Hierarchical Equal Area isoLatitude Pixelization grid (HEALPix)', '151-203': 'Reserved', '204': 'Curvilinear Orthogonal Grids', '205-999': 'Reserved', '1000': 'Cross Section Grid with Points Equally Spaced on the Horizontal', '1001-1099': 'Reserved', '1100': 'Hovmoller Diagram with Points Equally Spaced on the Horizontal', '1101-1199': 'Reserved', '1200': 'Time Section Grid', '1201-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '32768': 'Rotated Latitude/Longitude (Arakawa Staggeblack E-Grid)', '32769': 'Rotated Latitude/Longitude (Arakawa Non-E Staggeblack Grid)', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_3_2", "modulename": "grib2io.tables.section3", "qualname": "table_3_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Earth assumed spherical with radius = 6,367,470.0 m', '1': 'Earth assumed spherical with radius specified (in m) by data producer', '2': 'Earth assumed oblate spheriod with size as determined by IAU in 1965 (major axis = 6,378,160.0 m, minor axis = 6,356,775.0 m, f = 1/297.0)', '3': 'Earth assumed oblate spheriod with major and minor axes specified (in km) by data producer', '4': 'Earth assumed oblate spheriod as defined in IAG-GRS80 model (major axis = 6,378,137.0 m, minor axis = 6,356,752.314 m, f = 1/298.257222101)', '5': 'Earth assumed represented by WGS84 (as used by ICAO since 1998) (Uses IAG-GRS80 as a basis)', '6': 'Earth assumed spherical with radius = 6,371,229.0 m', '7': 'Earth assumed oblate spheroid with major and minor axes specified (in m) by data producer', '8': 'Earth model assumed spherical with radius 6,371,200 m, but the horizontal datum of the resulting Latitude/Longitude field is the WGS84 reference frame', '9': 'Earth represented by the OSGB 1936 Datum, using the Airy_1830 Spheroid, the Greenwich meridian as 0 Longitude, the Newlyn datum as mean sea level, 0 height.', '10': 'Earth model assumed WGS84 with corrected geomagnetic coordinates (latitude and longitude) defined by Gustafsson et al., 1992".', '11': 'Sun assumed spherical with radius = 695 990 000 m (Allen, C.W., Astrophysical Quantities, 3rd ed.; Athlone: London, 1976) and Stonyhurst latitude and longitude system with origin at the intersection of the solar central meridian (as seen from Earth) and the solar equator (Thompson, W., Coordinate systems for solar image data, Astron. Astrophys. 2006, 449, 791-803)', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_3_11", "modulename": "grib2io.tables.section3", "qualname": "table_3_11", "kind": "variable", "doc": "\n", "default_value": "{'0': 'There is no appended list', '1': 'Numbers define number of points corresponding to full coordinate circles (i.e. parallels). Coordinate values on each circle are multiple of the circle mesh, and extreme coordinate values given in grid definition may not be reached in all rows.', '2': 'Numbers define number of points corresponding to coordinate lines delimited by extreme coordinate values given in grid definition which are present in each row.', '3': 'Numbers define the actual latitudes for each row in the grid. The list of numbers are integer values of the valid latitudes in microdegrees (scale by 106) or in unit equal to the ratio of the basic angle and the subdivisions number for each row, in the same order as specified in the "scanning mode flag" (bit no. 2)', '4-254': 'Reserved', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_earth_params", "modulename": "grib2io.tables.section3", "qualname": "table_earth_params", "kind": "variable", "doc": "\n", "default_value": "{'0': {'shape': 'spherical', 'radius': 6367470.0}, '1': {'shape': 'spherical', 'radius': None}, '2': {'shape': 'oblateSpheriod', 'major_axis': 6378160.0, 'minor_axis': 6356775.0, 'flattening': 0.003367003367003367}, '3': {'shape': 'oblateSpheriod', 'major_axis': None, 'minor_axis': None, 'flattening': None}, '4': {'shape': 'oblateSpheriod', 'major_axis': 6378137.0, 'minor_axis': 6356752.314, 'flattening': 0.003352810681182319}, '5': {'shape': 'ellipsoid', 'major_axis': 6378137.0, 'minor_axis': 6356752.3142, 'flattening': 0.003352810681182319}, '6': {'shape': 'spherical', 'radius': 6371229.0}, '7': {'shape': 'oblateSpheriod', 'major_axis': None, 'minor_axis': None, 'flattening': None}, '8': {'shape': 'spherical', 'radius': 6371200.0}, '9': {'shape': 'unknown', 'radius': None}, '10': {'shape': 'unknown', 'radius': None}, '11': {'shape': 'unknown', 'radius': None}, '12': {'shape': 'unknown', 'radius': None}, '13': {'shape': 'unknown', 'radius': None}, '14': {'shape': 'unknown', 'radius': None}, '15': {'shape': 'unknown', 'radius': None}, '16': {'shape': 'unknown', 'radius': None}, '17': {'shape': 'unknown', 'radius': None}, '18': {'shape': 'unknown', 'radius': None}, '19': {'shape': 'unknown', 'radius': None}, '20': {'shape': 'unknown', 'radius': None}, '21': {'shape': 'unknown', 'radius': None}, '22': {'shape': 'unknown', 'radius': None}, '23': {'shape': 'unknown', 'radius': None}, '24': {'shape': 'unknown', 'radius': None}, '25': {'shape': 'unknown', 'radius': None}, '26': {'shape': 'unknown', 'radius': None}, '27': {'shape': 'unknown', 'radius': None}, '28': {'shape': 'unknown', 'radius': None}, '29': {'shape': 'unknown', 'radius': None}, '30': {'shape': 'unknown', 'radius': None}, '31': {'shape': 'unknown', 'radius': None}, '32': {'shape': 'unknown', 'radius': None}, '33': {'shape': 'unknown', 'radius': None}, '34': {'shape': 'unknown', 'radius': None}, '35': {'shape': 'unknown', 'radius': None}, '36': {'shape': 'unknown', 'radius': None}, '37': {'shape': 'unknown', 'radius': None}, '38': {'shape': 'unknown', 'radius': None}, '39': {'shape': 'unknown', 'radius': None}, '40': {'shape': 'unknown', 'radius': None}, '41': {'shape': 'unknown', 'radius': None}, '42': {'shape': 'unknown', 'radius': None}, '43': {'shape': 'unknown', 'radius': None}, '44': {'shape': 'unknown', 'radius': None}, '45': {'shape': 'unknown', 'radius': None}, '46': {'shape': 'unknown', 'radius': None}, '47': {'shape': 'unknown', 'radius': None}, '48': {'shape': 'unknown', 'radius': None}, '49': {'shape': 'unknown', 'radius': None}, '50': {'shape': 'unknown', 'radius': None}, '51': {'shape': 'unknown', 'radius': None}, '52': {'shape': 'unknown', 'radius': None}, '53': {'shape': 'unknown', 'radius': None}, '54': {'shape': 'unknown', 'radius': None}, '55': {'shape': 'unknown', 'radius': None}, '56': {'shape': 'unknown', 'radius': None}, '57': {'shape': 'unknown', 'radius': None}, '58': {'shape': 'unknown', 'radius': None}, '59': {'shape': 'unknown', 'radius': None}, '60': {'shape': 'unknown', 'radius': None}, '61': {'shape': 'unknown', 'radius': None}, '62': {'shape': 'unknown', 'radius': None}, '63': {'shape': 'unknown', 'radius': None}, '64': {'shape': 'unknown', 'radius': None}, '65': {'shape': 'unknown', 'radius': None}, '66': {'shape': 'unknown', 'radius': None}, '67': {'shape': 'unknown', 'radius': None}, '68': {'shape': 'unknown', 'radius': None}, '69': {'shape': 'unknown', 'radius': None}, '70': {'shape': 'unknown', 'radius': None}, '71': {'shape': 'unknown', 'radius': None}, '72': {'shape': 'unknown', 'radius': None}, '73': {'shape': 'unknown', 'radius': None}, '74': {'shape': 'unknown', 'radius': None}, '75': {'shape': 'unknown', 'radius': None}, '76': {'shape': 'unknown', 'radius': None}, '77': {'shape': 'unknown', 'radius': None}, '78': {'shape': 'unknown', 'radius': None}, '79': {'shape': 'unknown', 'radius': None}, '80': {'shape': 'unknown', 'radius': None}, '81': {'shape': 'unknown', 'radius': None}, '82': {'shape': 'unknown', 'radius': None}, '83': {'shape': 'unknown', 'radius': None}, '84': {'shape': 'unknown', 'radius': None}, '85': {'shape': 'unknown', 'radius': None}, '86': {'shape': 'unknown', 'radius': None}, '87': {'shape': 'unknown', 'radius': None}, '88': {'shape': 'unknown', 'radius': None}, '89': {'shape': 'unknown', 'radius': None}, '90': {'shape': 'unknown', 'radius': None}, '91': {'shape': 'unknown', 'radius': None}, '92': {'shape': 'unknown', 'radius': None}, '93': {'shape': 'unknown', 'radius': None}, '94': {'shape': 'unknown', 'radius': None}, '95': {'shape': 'unknown', 'radius': None}, '96': {'shape': 'unknown', 'radius': None}, '97': {'shape': 'unknown', 'radius': None}, '98': {'shape': 'unknown', 'radius': None}, '99': {'shape': 'unknown', 'radius': None}, '100': {'shape': 'unknown', 'radius': None}, '101': {'shape': 'unknown', 'radius': None}, '102': {'shape': 'unknown', 'radius': None}, '103': {'shape': 'unknown', 'radius': None}, '104': {'shape': 'unknown', 'radius': None}, '105': {'shape': 'unknown', 'radius': None}, '106': {'shape': 'unknown', 'radius': None}, '107': {'shape': 'unknown', 'radius': None}, '108': {'shape': 'unknown', 'radius': None}, '109': {'shape': 'unknown', 'radius': None}, '110': {'shape': 'unknown', 'radius': None}, '111': {'shape': 'unknown', 'radius': None}, '112': {'shape': 'unknown', 'radius': None}, '113': {'shape': 'unknown', 'radius': None}, '114': {'shape': 'unknown', 'radius': None}, '115': {'shape': 'unknown', 'radius': None}, '116': {'shape': 'unknown', 'radius': None}, '117': {'shape': 'unknown', 'radius': None}, '118': {'shape': 'unknown', 'radius': None}, '119': {'shape': 'unknown', 'radius': None}, '120': {'shape': 'unknown', 'radius': None}, '121': {'shape': 'unknown', 'radius': None}, '122': {'shape': 'unknown', 'radius': None}, '123': {'shape': 'unknown', 'radius': None}, '124': {'shape': 'unknown', 'radius': None}, '125': {'shape': 'unknown', 'radius': None}, '126': {'shape': 'unknown', 'radius': None}, '127': {'shape': 'unknown', 'radius': None}, '128': {'shape': 'unknown', 'radius': None}, '129': {'shape': 'unknown', 'radius': None}, '130': {'shape': 'unknown', 'radius': None}, '131': {'shape': 'unknown', 'radius': None}, '132': {'shape': 'unknown', 'radius': None}, '133': {'shape': 'unknown', 'radius': None}, '134': {'shape': 'unknown', 'radius': None}, '135': {'shape': 'unknown', 'radius': None}, '136': {'shape': 'unknown', 'radius': None}, '137': {'shape': 'unknown', 'radius': None}, '138': {'shape': 'unknown', 'radius': None}, '139': {'shape': 'unknown', 'radius': None}, '140': {'shape': 'unknown', 'radius': None}, '141': {'shape': 'unknown', 'radius': None}, '142': {'shape': 'unknown', 'radius': None}, '143': {'shape': 'unknown', 'radius': None}, '144': {'shape': 'unknown', 'radius': None}, '145': {'shape': 'unknown', 'radius': None}, '146': {'shape': 'unknown', 'radius': None}, '147': {'shape': 'unknown', 'radius': None}, '148': {'shape': 'unknown', 'radius': None}, '149': {'shape': 'unknown', 'radius': None}, '150': {'shape': 'unknown', 'radius': None}, '151': {'shape': 'unknown', 'radius': None}, '152': {'shape': 'unknown', 'radius': None}, '153': {'shape': 'unknown', 'radius': None}, '154': {'shape': 'unknown', 'radius': None}, '155': {'shape': 'unknown', 'radius': None}, '156': {'shape': 'unknown', 'radius': None}, '157': {'shape': 'unknown', 'radius': None}, '158': {'shape': 'unknown', 'radius': None}, '159': {'shape': 'unknown', 'radius': None}, '160': {'shape': 'unknown', 'radius': None}, '161': {'shape': 'unknown', 'radius': None}, '162': {'shape': 'unknown', 'radius': None}, '163': {'shape': 'unknown', 'radius': None}, '164': {'shape': 'unknown', 'radius': None}, '165': {'shape': 'unknown', 'radius': None}, '166': {'shape': 'unknown', 'radius': None}, '167': {'shape': 'unknown', 'radius': None}, '168': {'shape': 'unknown', 'radius': None}, '169': {'shape': 'unknown', 'radius': None}, '170': {'shape': 'unknown', 'radius': None}, '171': {'shape': 'unknown', 'radius': None}, '172': {'shape': 'unknown', 'radius': None}, '173': {'shape': 'unknown', 'radius': None}, '174': {'shape': 'unknown', 'radius': None}, '175': {'shape': 'unknown', 'radius': None}, '176': {'shape': 'unknown', 'radius': None}, '177': {'shape': 'unknown', 'radius': None}, '178': {'shape': 'unknown', 'radius': None}, '179': {'shape': 'unknown', 'radius': None}, '180': {'shape': 'unknown', 'radius': None}, '181': {'shape': 'unknown', 'radius': None}, '182': {'shape': 'unknown', 'radius': None}, '183': {'shape': 'unknown', 'radius': None}, '184': {'shape': 'unknown', 'radius': None}, '185': {'shape': 'unknown', 'radius': None}, '186': {'shape': 'unknown', 'radius': None}, '187': {'shape': 'unknown', 'radius': None}, '188': {'shape': 'unknown', 'radius': None}, '189': {'shape': 'unknown', 'radius': None}, '190': {'shape': 'unknown', 'radius': None}, '191': {'shape': 'unknown', 'radius': None}, '192': {'shape': 'unknown', 'radius': None}, '193': {'shape': 'unknown', 'radius': None}, '194': {'shape': 'unknown', 'radius': None}, '195': {'shape': 'unknown', 'radius': None}, '196': {'shape': 'unknown', 'radius': None}, '197': {'shape': 'unknown', 'radius': None}, '198': {'shape': 'unknown', 'radius': None}, '199': {'shape': 'unknown', 'radius': None}, '200': {'shape': 'unknown', 'radius': None}, '201': {'shape': 'unknown', 'radius': None}, '202': {'shape': 'unknown', 'radius': None}, '203': {'shape': 'unknown', 'radius': None}, '204': {'shape': 'unknown', 'radius': None}, '205': {'shape': 'unknown', 'radius': None}, '206': {'shape': 'unknown', 'radius': None}, '207': {'shape': 'unknown', 'radius': None}, '208': {'shape': 'unknown', 'radius': None}, '209': {'shape': 'unknown', 'radius': None}, '210': {'shape': 'unknown', 'radius': None}, '211': {'shape': 'unknown', 'radius': None}, '212': {'shape': 'unknown', 'radius': None}, '213': {'shape': 'unknown', 'radius': None}, '214': {'shape': 'unknown', 'radius': None}, '215': {'shape': 'unknown', 'radius': None}, '216': {'shape': 'unknown', 'radius': None}, '217': {'shape': 'unknown', 'radius': None}, '218': {'shape': 'unknown', 'radius': None}, '219': {'shape': 'unknown', 'radius': None}, '220': {'shape': 'unknown', 'radius': None}, '221': {'shape': 'unknown', 'radius': None}, '222': {'shape': 'unknown', 'radius': None}, '223': {'shape': 'unknown', 'radius': None}, '224': {'shape': 'unknown', 'radius': None}, '225': {'shape': 'unknown', 'radius': None}, '226': {'shape': 'unknown', 'radius': None}, '227': {'shape': 'unknown', 'radius': None}, '228': {'shape': 'unknown', 'radius': None}, '229': {'shape': 'unknown', 'radius': None}, '230': {'shape': 'unknown', 'radius': None}, '231': {'shape': 'unknown', 'radius': None}, '232': {'shape': 'unknown', 'radius': None}, '233': {'shape': 'unknown', 'radius': None}, '234': {'shape': 'unknown', 'radius': None}, '235': {'shape': 'unknown', 'radius': None}, '236': {'shape': 'unknown', 'radius': None}, '237': {'shape': 'unknown', 'radius': None}, '238': {'shape': 'unknown', 'radius': None}, '239': {'shape': 'unknown', 'radius': None}, '240': {'shape': 'unknown', 'radius': None}, '241': {'shape': 'unknown', 'radius': None}, '242': {'shape': 'unknown', 'radius': None}, '243': {'shape': 'unknown', 'radius': None}, '244': {'shape': 'unknown', 'radius': None}, '245': {'shape': 'unknown', 'radius': None}, '246': {'shape': 'unknown', 'radius': None}, '247': {'shape': 'unknown', 'radius': None}, '248': {'shape': 'unknown', 'radius': None}, '249': {'shape': 'unknown', 'radius': None}, '250': {'shape': 'unknown', 'radius': None}, '251': {'shape': 'unknown', 'radius': None}, '252': {'shape': 'unknown', 'radius': None}, '253': {'shape': 'unknown', 'radius': None}, '254': {'shape': 'unknown', 'radius': None}, '255': {'shape': 'unknown', 'radius': None}}"}, {"fullname": "grib2io.tables.section4", "modulename": "grib2io.tables.section4", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4.table_4_1_0", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Temperature', '1': 'Moisture', '2': 'Momentum', '3': 'Mass', '4': 'Short-wave radiation', '5': 'Long-wave radiation', '6': 'Cloud', '7': 'Thermodynamic Stability indicies', '8': 'Kinematic Stability indicies', '9': 'Temperature Probabilities*', '10': 'Moisture Probabilities*', '11': 'Momentum Probabilities*', '12': 'Mass Probabilities*', '13': 'Aerosols', '14': 'Trace gases', '15': 'Radar', '16': 'Forecast Radar Imagery', '17': 'Electrodynamics', '18': 'Nuclear/radiology', '19': 'Physical atmospheric properties', '20': 'Atmospheric chemical Constituents', '21': 'Thermodynamic Properties', '22-189': 'Reserved', '190': 'CCITT IA5 string', '191': 'Miscellaneous', '192-254': 'Reserved for Local Use', '192': 'Covariance', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_1", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Hydrology basic products', '1': 'Hydrology probabilities', '2': 'Inland water and sediment properties', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_2", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Vegetation/Biomass', '1': 'Agricultural/Aquacultural Special Products', '2': 'Transportation-related Products', '3': 'Soil Products', '4': 'Fire Weather Products', '5': 'Land Surface Products', '6': 'Urban areas', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_3", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Image format products', '1': 'Quantitative products', '2': 'Cloud Properties', '3': 'Flight Rules Conditions', '4': 'Volcanic Ash', '5': 'Sea-surface Temperature', '6': 'Solar Radiation', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Forecast Satellite Imagery', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_4", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Temperature', '1': 'Momentum', '2': 'Charged Particle Mass and Number', '3': 'Electric and Magnetic Fields', '4': 'Energetic Particles', '5': 'Waves', '6': 'Solar Electromagnetic Emissions', '7': 'Terrestrial Electromagnetic Emissions', '8': 'Imagery', '9': 'Ion-Neutral Coupling', '10': 'Space Weather Indices', '11-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_10", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_10", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Waves', '1': 'Currents', '2': 'Ice', '3': 'Surface Properties', '4': 'Sub-surface Properties', '5-190': 'Reserved', '191': 'Miscellaneous', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_20", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_20", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Health Indicators', '1': 'Epidemiology', '2': 'Socioeconomic indicators', '3': 'Renewable energy sector', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_0", "modulename": "grib2io.tables.section4", "qualname": "table_4_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.0)', '1': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.1)', '2': 'Derived forecasts based on all ensemble members at a horizontal level or in a horizontal layer at a point in time. (see Template 4.2)', '3': 'Derived forecasts based on a cluster of ensemble members over a rectangular area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.3)', '4': 'Derived forecasts based on a cluster of ensemble members over a circular area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.4)', '5': 'Probability forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.5)', '6': 'Percentile forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.6)', '7': 'Analysis or forecast error at a horizontal level or in a horizontal layer at a point in time. (see Template 4.7)', '8': 'Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.8)', '9': 'Probability forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.9)', '10': 'Percentile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.10)', '11': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.11)', '12': 'Derived forecasts based on all ensemble members at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.12)', '13': 'Derived forecasts based on a cluster of ensemble members over a rectangular area at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.13)', '14': 'Derived forecasts based on a cluster of ensemble members over a circular area at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.14)', '15': 'Average, accumulation, extreme values or other statistically-processed values over a spatial area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.15)', '16-19': 'Reserved', '20': 'Radar product (see Template 4.20)', '21-29': 'Reserved', '30': 'Satellite product (see Template 4.30) NOTE: This template is deprecated. Template 4.31 should be used instead.', '31': 'Satellite product (see Template 4.31)', '32': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for simulate (synthetic) satellite data (see Template 4.32)', '33': 'Individual Ensemble Forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for simulated (synthetic) satellite data (see Template 4.33)', '34': 'Individual Ensemble Forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for simulated (synthetic) satellite data(see Template 4.34)', '35': 'Satellite product with or without associated quality values (see Template 4.35)', '36-39': 'Reserved', '40': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents. (see Template 4.40)', '41': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents. (see Template 4.41)', '42': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents. (see Template 4.42)', '43': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for atmospheric chemical constituents. (see Template 4.43)', '44': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for aerosol. (see Template 4.44)', '45': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for aerosol. (see Template 4.45)', '46': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol. (see Template 4.46)', '47': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for aerosol. (see Template 4.47)', '48': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol. (see Template 4.48)', '49': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol. (see Template 4.49)', '50': 'Reserved', '51': 'Categorical forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.51)', '52': 'Reserved', '53': 'Partitioned parameters at a horizontal level or horizontal layer at a point in time. (see Template 4.53)', '54': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for partitioned parameters. (see Template 4.54)', '55': 'Spatio-temporal changing tiles at a horizontal level or horizontal layer at a point in time (see Template 4.55)', '56': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for spatio-temporal changing tile parameters (DEPRECATED) (see Template 4.56)', '57': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents based on a distribution function (see Template 4.57)', '58': 'Individual Ensemble Forecast, Control and Perturbed, at a horizontal level or in a horizontal layer at a point in time interval for Atmospheric Chemical Constituents based on a distribution function (see Template 4.58)', '59': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for spatio-temporal changing tile parameters (corrected version of template 4.56 - See Template 4.59)', '60': 'Individual Ensemble Reforecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.60)', '61': 'Individual Ensemble Reforecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval (see Template 4.61)', '62': 'Average, Accumulation and/or Extreme values or other Statistically-processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for spatio-temporal changing tiles at a horizontal level or horizontal layer at a point in time (see Template 4.62)', '63': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for spatio-temporal changing tiles (see Template 4.63)', '64-66': 'Reserved', '67': 'Average, accumulation and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents based on a distribution function (see Template 4.67)', '68': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents based on a distribution function. (see Template 4.68)', '69': 'Reserved', '70': 'Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.70)', '71': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.71)', '72': 'Post-processing average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.72)', '73': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.73)', '74-75': 'Reserved', '76': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents with source or sink. (see Template 4.76)', '77': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents with source or sink. (see Template 4.77)', '78': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents with source or sink. (see Template 4.78)', '79': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents with source or sink. (see Template 4.79)', '80': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol with source or sink. (see Template 4.80)', '81': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol with source or sink. (see Template 4.81)', '82': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.82)', '83': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.83)', '84': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.84)', '85': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol. (see Template 4.85)', '86': 'Quantile forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.86)', '87': 'Quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.87)', '88': 'Analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.88)', '89-90': 'Reserved', '91': 'Categorical forecast at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.91)', '92': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.92)', '93': 'Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.93)', '94': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.94)', '95': 'Average, accumulation, extreme values or other statiscally processed value at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.95)', '96': 'Average, accumulation, extreme values or other statistically processed values of an individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.96)', '97': 'Average, accumulation, extreme values or other statistically processed values of post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.97)', '98': 'Average, accumulation, extreme values or other statistically processed values of a post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.98)', '99': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with explicit list of frequencies and directions (see Template 4.99)', '100': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with explicit list of frequencies and directions (see Template 4.100)', '101': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with frequencies and directions defined by formulae (see Template 4.101)', '102': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with frequencies and directions defined by formulae (see Template 4.102)', '103': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for waves selected by period range (see Template 4.103)', '104': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for waves selected by period range (see Template 4.104)', '105': 'Anomalies, significance and other derived products from an analysis or forecast in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.105)', '106': 'Anomalies, significance and other derived products from an individual ensemble forecast, control and perturbed in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.106)', '107': 'Anomalies, significance and other derived products from derived forecasts based on all ensemble members in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.107)', '108': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for generic optical products (see Template 4.108)', '109': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for generic optical products (see Template 4.109)', '110': 'Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for generic optical products (see Template 4.110)', '111': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for generic optical products (see Template 4.111)', '112': 'Anomalies, significance and other derived products as probability forecasts in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.112)', '113-253': 'Reserved', '254': 'CCITT IA5 character string (see Template 4.254)', '255-999': 'Reserved', '1000': 'Cross-section of analysis and forecast at a point in time. (see Template 4.1000)', '1001': 'Cross-section of averaged or otherwise statistically processed analysis or forecast over a range of time. (see Template 4.1001)', '1002': 'Cross-section of analysis and forecast, averaged or otherwise statistically-processed over latitude or longitude. (see Template 4.1002)', '1003-1099': 'Reserved', '1100': 'Hovmoller-type grid with no averaging or other statistical processing (see Template 4.1100)', '1101': 'Hovmoller-type grid with averaging or other statistical processing (see Template 4.1101)', '1102-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_3", "modulename": "grib2io.tables.section4", "qualname": "table_4_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis', '1': 'Initialization', '2': 'Forecast', '3': 'Bias Corrected Forecast', '4': 'Ensemble Forecast', '5': 'Probability Forecast', '6': 'Forecast Error', '7': 'Analysis Error', '8': 'Observation', '9': 'Climatological', '10': 'Probability-Weighted Forecast', '11': 'Bias-Corrected Ensemble Forecast', '12': 'Post-processed Analysis (See Note)', '13': 'Post-processed Forecast (See Note)', '14': 'Nowcast', '15': 'Hindcast', '16': 'Physical Retrieval', '17': 'Regression Analysis', '18': 'Difference Between Two Forecasts', '19': 'First guess', '20': 'Analysis increment', '21': 'Initialization increment for analysis', '22-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Forecast Confidence Indicator', '193': 'Probability-matched Mean', '194': 'Neighborhood Probability', '195': 'Bias-Corrected and Downscaled Ensemble Forecast', '196': 'Perturbed Analysis for Ensemble Initialization', '197': 'Ensemble Agreement Scale Probability', '198': 'Post-Processed Deterministic-Expert-Weighted Forecast', '199': 'Ensemble Forecast Based on Counting', '200': 'Local Probability-matched Mean', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_4", "modulename": "grib2io.tables.section4", "qualname": "table_4_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Minute', '1': 'Hour', '2': 'Day', '3': 'Month', '4': 'Year', '5': 'Decade (10 Years)', '6': 'Normal (30 Years)', '7': 'Century (100 Years)', '8': 'Reserved', '9': 'Reserved', '10': '3 Hours', '11': '6 Hours', '12': '12 Hours', '13': 'Second', '14-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_5", "modulename": "grib2io.tables.section4", "qualname": "table_4_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Reserved', 'unknown'], '1': ['Ground or Water Surface', 'unknown'], '2': ['Cloud Base Level', 'unknown'], '3': ['Level of Cloud Tops', 'unknown'], '4': ['Level of 0o C Isotherm', 'unknown'], '5': ['Level of Adiabatic Condensation Lifted from the Surface', 'unknown'], '6': ['Maximum Wind Level', 'unknown'], '7': ['Tropopause', 'unknown'], '8': ['Nominal Top of the Atmosphere', 'unknown'], '9': ['Sea Bottom', 'unknown'], '10': ['Entire Atmosphere', 'unknown'], '11': ['Cumulonimbus Base (CB)', 'm'], '12': ['Cumulonimbus Top (CT)', 'm'], '13': ['Lowest level where vertically integrated cloud cover exceeds the specified percentage (cloud base for a given percentage cloud cover)', '%'], '14': ['Level of free convection (LFC)', 'unknown'], '15': ['Convection condensation level (CCL)', 'unknown'], '16': ['Level of neutral buoyancy or equilibrium (LNB)', 'unknown'], '17': ['Departure level of the most unstable parcel of air (MUDL)', 'unknown'], '18': ['Departure level of a mixed layer parcel of air with specified layer depth', 'Pa'], '19': ['Reserved', 'unknown'], '20': ['Isothermal Level', 'K'], '21': ['Lowest level where mass density exceeds the specified value (base for a given threshold of mass density)', 'kg m-3'], '22': ['Highest level where mass density exceeds the specified value (top for a given threshold of mass density)', 'kg m-3'], '23': ['Lowest level where air concentration exceeds the specified value (base for a given threshold of air concentration', 'Bq m-3'], '24': ['Highest level where air concentration exceeds the specified value (top for a given threshold of air concentration)', 'Bq m-3'], '25': ['Highest level where radar reflectivity exceeds the specified value (echo top for a given threshold of reflectivity)', 'dBZ'], '26': ['Convective cloud layer base', 'm'], '27': ['Convective cloud layer top', 'm'], '28-29': ['Reserved', 'unknown'], '30': ['Specified radius from the centre of the Sun', 'm'], '31': ['Solar photosphere', 'unknown'], '32': ['Ionospheric D-region level', 'unknown'], '33': ['Ionospheric E-region level', 'unknown'], '34': ['Ionospheric F1-region level', 'unknown'], '35': ['Ionospheric F2-region level', 'unknown'], '36-99': ['Reserved', 'unknown'], '100': ['Isobaric Surface', 'Pa'], '101': ['Mean Sea Level', 'unknown'], '102': ['Specific Altitude Above Mean Sea Level', 'm'], '103': ['Specified Height Level Above Ground', 'm'], '104': ['Sigma Level', 'unknown'], '105': ['Hybrid Level', 'unknown'], '106': ['Depth Below Land Surface', 'm'], '107': ['Isentropic (theta) Level', 'K'], '108': ['Level at Specified Pressure Difference from Ground to Level', 'Pa'], '109': ['Potential Vorticity Surface', 'K m2 kg-1 s-1'], '110': ['Reserved', 'unknown'], '111': ['Eta Level', 'unknown'], '112': ['Reserved', 'unknown'], '113': ['Logarithmic Hybrid Level', 'unknown'], '114': ['Snow Level', 'Numeric'], '115': ['Sigma height level', 'unknown'], '116': ['Reserved', 'unknown'], '117': ['Mixed Layer Depth', 'm'], '118': ['Hybrid Height Level', 'unknown'], '119': ['Hybrid Pressure Level', 'unknown'], '120-149': ['Reserved', 'unknown'], '150': ['Generalized Vertical Height Coordinate', 'unknown'], '151': ['Soil level', 'Numeric'], '152': ['Sea-ice level,(see Note 8)', 'Numeric'], '153-159': ['Reserved', 'unknown'], '160': ['Depth Below Sea Level', 'm'], '161': ['Depth Below Water Surface', 'm'], '162': ['Lake or River Bottom', 'unknown'], '163': ['Bottom Of Sediment Layer', 'unknown'], '164': ['Bottom Of Thermally Active Sediment Layer', 'unknown'], '165': ['Bottom Of Sediment Layer Penetrated By Thermal Wave', 'unknown'], '166': ['Mixing Layer', 'unknown'], '167': ['Bottom of Root Zone', 'unknown'], '168': ['Ocean Model Level', 'Numeric'], '169': ['Ocean level defined by water density (sigma-theta) difference from near-surface to level', 'kg m-3'], '170': ['Ocean level defined by water potential temperature difference from near-surface to level', 'K'], '171': ['Ocean level defined by vertical eddy diffusivity difference from near-surface to level', 'm2 s-1'], '172': ['Ocean level defined by water density (rho) difference from near-surface to level (*Tentatively accepted)', 'kg m-3'], '173': ['Top of Snow Over Sea Ice on Sea, Lake or River', 'unknown'], '174': ['Top Surface of Ice on Sea, Lake or River', 'unknown'], '175': ['Top Surface of Ice, under Snow, on Sea, Lake or River', 'unknown'], '176': ['Bottom Surface (underside) Ice on Sea, Lake or River', 'unknown'], '177': ['Deep Soil (of indefinite depth)', 'unknown'], '178': ['Reserved', 'unknown'], '179': ['Top Surface of Glacier Ice and Inland Ice', 'unknown'], '180': ['Deep Inland or Glacier Ice (of indefinite depth)', 'unknown'], '181': ['Grid Tile Land Fraction as a Model Surface', 'unknown'], '182': ['Grid Tile Water Fraction as a Model Surface', 'unknown'], '183': ['Grid Tile Ice Fraction on Sea, Lake or River as a Model Surface', 'unknown'], '184': ['Grid Tile Glacier Ice and Inland Ice Fraction as a Model Surface', 'unknown'], '185': ['Roof Level', 'unknown'], '186': ['Wall level', 'unknown'], '187': ['Road Level', 'unknown'], '188': ['Melt pond Top Surface', 'unknown'], '189': ['Melt Pond Bottom Surface', 'unknown'], '190-191': ['Reserved', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown'], '200': ['Entire atmosphere (considered as a single layer)', 'unknown'], '201': ['Entire ocean (considered as a single layer)', 'unknown'], '204': ['Highest tropospheric freezing level', 'unknown'], '206': ['Grid scale cloud bottom level', 'unknown'], '207': ['Grid scale cloud top level', 'unknown'], '209': ['Boundary layer cloud bottom level', 'unknown'], '210': ['Boundary layer cloud top level', 'unknown'], '211': ['Boundary layer cloud layer', 'unknown'], '212': ['Low cloud bottom level', 'unknown'], '213': ['Low cloud top level', 'unknown'], '214': ['Low cloud layer', 'unknown'], '215': ['Cloud ceiling', 'unknown'], '216': ['Effective Layer Top Level', 'm'], '217': ['Effective Layer Bottom Level', 'm'], '218': ['Effective Layer', 'm'], '220': ['Planetary Boundary Layer', 'unknown'], '221': ['Layer Between Two Hybrid Levels', 'unknown'], '222': ['Middle cloud bottom level', 'unknown'], '223': ['Middle cloud top level', 'unknown'], '224': ['Middle cloud layer', 'unknown'], '232': ['High cloud bottom level', 'unknown'], '233': ['High cloud top level', 'unknown'], '234': ['High cloud layer', 'unknown'], '235': ['Ocean Isotherm Level (1/10 \u00b0 C)', 'unknown'], '236': ['Layer between two depths below ocean surface', 'unknown'], '237': ['Bottom of Ocean Mixed Layer (m)', 'unknown'], '238': ['Bottom of Ocean Isothermal Layer (m)', 'unknown'], '239': ['Layer Ocean Surface and 26C Ocean Isothermal Level', 'unknown'], '240': ['Ocean Mixed Layer', 'unknown'], '241': ['Ordered Sequence of Data', 'unknown'], '242': ['Convective cloud bottom level', 'unknown'], '243': ['Convective cloud top level', 'unknown'], '244': ['Convective cloud layer', 'unknown'], '245': ['Lowest level of the wet bulb zero', 'unknown'], '246': ['Maximum equivalent potential temperature level', 'unknown'], '247': ['Equilibrium level', 'unknown'], '248': ['Shallow convective cloud bottom level', 'unknown'], '249': ['Shallow convective cloud top level', 'unknown'], '251': ['Deep convective cloud bottom level', 'unknown'], '252': ['Deep convective cloud top level', 'unknown'], '253': ['Lowest bottom level of supercooled liquid water layer', 'unknown'], '254': ['Highest top level of supercooled liquid water layer', 'unknown'], '255': ['Missing', 'unknown']}"}, {"fullname": "grib2io.tables.section4.table_4_6", "modulename": "grib2io.tables.section4", "qualname": "table_4_6", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Unperturbed High-Resolution Control Forecast', '1': 'Unperturbed Low-Resolution Control Forecast', '2': 'Negatively Perturbed Forecast', '3': 'Positively Perturbed Forecast', '4': 'Multi-Model Forecast', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Perturbed Ensemble Member', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_7", "modulename": "grib2io.tables.section4", "qualname": "table_4_7", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Unweighted Mean of All Members', '1': 'Weighted Mean of All Members', '2': 'Standard Deviation with respect to Cluster Mean', '3': 'Standard Deviation with respect to Cluster Mean, Normalized', '4': 'Spread of All Members', '5': 'Large Anomaly Index of All Members', '6': 'Unweighted Mean of the Cluster Members', '7': 'Interquartile Range (Range between the 25th and 75th quantile)', '8': 'Minimum Of All Ensemble Members', '9': 'Maximum Of All Ensemble Members', '10-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Unweighted Mode of All Members', '193': 'Percentile value (10%) of All Members', '194': 'Percentile value (50%) of All Members', '195': 'Percentile value (90%) of All Members', '196': 'Statistically decided weights for each ensemble member', '197': 'Climate Percentile (percentile values from climate distribution)', '198': 'Deviation of Ensemble Mean from Daily Climatology', '199': 'Extreme Forecast Index', '200': 'Equally Weighted Mean', '201': 'Percentile value (5%) of All Members', '202': 'Percentile value (25%) of All Members', '203': 'Percentile value (75%) of All Members', '204': 'Percentile value (95%) of All Members', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_8", "modulename": "grib2io.tables.section4", "qualname": "table_4_8", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Anomoly Correlation', '1': 'Root Mean Square', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_9", "modulename": "grib2io.tables.section4", "qualname": "table_4_9", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Probability of event below lower limit', '1': 'Probability of event above upper limit', '2': 'Probability of event between upper and lower limits (the range includes lower limit but no the upper limit)', '3': 'Probability of event above lower limit', '4': 'Probability of event below upper limit', '5': 'Probability of event equal to lower limit', '6': 'Probability of event in above normal category (see Notes 1 and 2)', '9-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_10", "modulename": "grib2io.tables.section4", "qualname": "table_4_10", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Average', '1': 'Accumulation', '2': 'Maximum', '3': 'Minimum', '4': 'Difference (value at the end of the time range minus value at the beginning)', '5': 'Root Mean Square', '6': 'Standard Deviation', '7': 'Covariance (temporal variance)', '8': 'Difference ( value at the beginning of the time range minus value at the end)', '9': 'Ratio', '10': 'Standardized Anomaly', '11': 'Summation', '12': 'Return period', '13-99': 'Reserved', '100': 'Severity', '101': 'Mode', '102-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Climatological Mean Value: multiple year averages of quantities which are themselves means over some period of time (P2) less than a year. The reference time (R) indicates the date and time of the start of a period of time, given by R to R + P2, over which a mean is formed; N indicates the number of such period-means that are averaged together to form the climatological value, assuming that the N period-mean fields are separated by one year. The reference time indicates the start of the N-year climatology. N is given in octets 22-23 of the PDS. If P1 = 0 then the data averaged in the basic interval P2 are assumed to be continuous, i.e., all available data are simply averaged together. If P1 = 1 (the units of time - octet 18, code table 4 - are not relevant here) then the data averaged together in the basic interval P2 are valid only at the time (hour, minute) given in the reference time, for all the days included in the P2 period. The units of P2 are given by the contents of octet 18 and Table 4.', '193': 'Average of N forecasts (or initialized analyses); each product has forecast period of P1 (P1=0 for initialized analyses); products have reference times at intervals of P2, beginning at the given reference time.', '194': 'Average of N uninitialized analyses, starting at reference time, at intervals of P2.', '195': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 24-hour intervals. Number in Ave = number of forecasts used.', '196': 'Average of successive forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at (P2 - P1) intervals. Number in Ave = number of forecasts used', '197': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 24-hour intervals. Number in Ave = number of forecast used', '198': 'Average of successive forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at (P2 - P1) intervals. Number in Ave = number of forecasts used', '199': 'Climatological Average of N analyses, each a year apart, starting from initial time R and for the period from R+P1 to R+P2.', '200': 'Climatological Average of N forecasts, each a year apart, starting from initial time R and for the period from R+P1 to R+P2.', '201': 'Climatological Root Mean Square difference between N forecasts and their verifying analyses, each a year apart, starting with initial time R and for the period from R+P1 to R+P2.', '202': 'Climatological Standard Deviation of N forecasts from the mean of the same N forecasts, for forecasts one year apart. The first forecast starts wtih initial time R and is for the period from R+P1 to R+P2.', '203': 'Climatological Standard Deviation of N analyses from the mean of the same N analyses, for analyses one year apart. The first analyses is valid for period R+P1 to R+P2.', '204': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 6-hour intervals. Number in Ave = number of forecast used', '205': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 6-hour intervals. Number in Ave = number of forecast used', '206': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 12-hour intervals. Number in Ave = number of forecast used', '207': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 12-hour intervals. Number in Ave = number of forecast used', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_11", "modulename": "grib2io.tables.section4", "qualname": "table_4_11", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Successive times processed have same forecast time, start time of forecast is incremented.', '2': 'Successive times processed have same start time of forecast, forecast time is incremented.', '3': 'Successive times processed have start time of forecast incremented and forecast time decremented so that valid time remains constant.', '4': 'Successive times processed have start time of forecast decremented and forecast time incremented so that valid time remains constant.', '5': 'Floating subinterval of time between forecast time and end of overall time interval.(see Note 1)', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_12", "modulename": "grib2io.tables.section4", "qualname": "table_4_12", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Mainteunknownce Mode', '1': 'Clear Air', '2': 'Precipitation', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_13", "modulename": "grib2io.tables.section4", "qualname": "table_4_13", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Quality Control Applied', '1': 'Quality Control Applied', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_14", "modulename": "grib2io.tables.section4", "qualname": "table_4_14", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Clutter Filter Used', '1': 'Clutter Filter Used', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_15", "modulename": "grib2io.tables.section4", "qualname": "table_4_15", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Data is calculated directly from the source grid with no interpolation', '1': 'Bilinear interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '2': 'Bicubic interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '3': 'Using the value from the source grid grid-point which is nearest to the nominal grid-point', '4': 'Budget interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '5': 'Spectral interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '6': 'Neighbor-budget interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_91", "modulename": "grib2io.tables.section4", "qualname": "table_4_91", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Smaller than first limit', '1': 'Greater than second limit', '2': 'Between first and second limit. The range includes the first limit but not the second limit.', '3': 'Greater than first limit', '4': 'Smaller than second limit', '5': 'Smaller or equal first limit', '6': 'Greater or equal second limit', '7': 'Between first and second limit. The range includes the first limit and the second limit.', '8': 'Greater or equal first limit', '9': 'Smaller or equal second limit', '10': 'Between first and second limit. The range includes the second limit but not the first limit.', '11': 'Equal to first limit', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_201", "modulename": "grib2io.tables.section4", "qualname": "table_4_201", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Rain', '2': 'Thunderstorm', '3': 'Freezing Rain', '4': 'Mixed/Ice', '5': 'Snow', '6': 'Wet Snow', '7': 'Mixture of Rain and Snow', '8': 'Ice Pellets', '9': 'Graupel', '10': 'Hail', '11': 'Drizzle', '12': 'Freezing Drizzle', '13-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_202", "modulename": "grib2io.tables.section4", "qualname": "table_4_202", "kind": "variable", "doc": "\n", "default_value": "{'0-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_203", "modulename": "grib2io.tables.section4", "qualname": "table_4_203", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Clear', '1': 'Cumulonimbus', '2': 'Stratus', '3': 'Stratocumulus', '4': 'Cumulus', '5': 'Altostratus', '6': 'Nimbostratus', '7': 'Altocumulus', '8': 'Cirrostratus', '9': 'Cirrorcumulus', '10': 'Cirrus', '11': 'Cumulonimbus - ground-based fog beneath the lowest layer', '12': 'Stratus - ground-based fog beneath the lowest layer', '13': 'Stratocumulus - ground-based fog beneath the lowest layer', '14': 'Cumulus - ground-based fog beneath the lowest layer', '15': 'Altostratus - ground-based fog beneath the lowest layer', '16': 'Nimbostratus - ground-based fog beneath the lowest layer', '17': 'Altocumulus - ground-based fog beneath the lowest layer', '18': 'Cirrostratus - ground-based fog beneath the lowest layer', '19': 'Cirrorcumulus - ground-based fog beneath the lowest layer', '20': 'Cirrus - ground-based fog beneath the lowest layer', '21-190': 'Reserved', '191': 'Unknown', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_204", "modulename": "grib2io.tables.section4", "qualname": "table_4_204", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Isolated (1-2%)', '2': 'Few (3-5%)', '3': 'Scattered (16-45%)', '4': 'Numerous (>45%)', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_205", "modulename": "grib2io.tables.section4", "qualname": "table_4_205", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Aerosol not present', '1': 'Aerosol present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_206", "modulename": "grib2io.tables.section4", "qualname": "table_4_206", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Not Present', '1': 'Present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_207", "modulename": "grib2io.tables.section4", "qualname": "table_4_207", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Light', '2': 'Moderate', '3': 'Severe', '4': 'Trace', '5': 'Heavy', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_208", "modulename": "grib2io.tables.section4", "qualname": "table_4_208", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Light', '2': 'Moderate', '3': 'Severe', '4': 'Extreme', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_209", "modulename": "grib2io.tables.section4", "qualname": "table_4_209", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Stable', '2': 'Mechanically-Driven Turbulence', '3': 'Force Convection', '4': 'Free Convection', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_210", "modulename": "grib2io.tables.section4", "qualname": "table_4_210", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Contrail Not Present', '1': 'Contrail Present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_211", "modulename": "grib2io.tables.section4", "qualname": "table_4_211", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Low Bypass', '1': 'High Bypass', '2': 'Non-Bypass', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_212", "modulename": "grib2io.tables.section4", "qualname": "table_4_212", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Urban Land', '2': 'Agricultural', '3': 'Range Land', '4': 'Deciduous Forest', '5': 'Coniferous Forest', '6': 'Forest/Wetland', '7': 'Water', '8': 'Wetlands', '9': 'Desert', '10': 'Tundra', '11': 'Ice', '12': 'Tropical Forest', '13': 'Savannah', '14-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_213", "modulename": "grib2io.tables.section4", "qualname": "table_4_213", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Sand', '2': 'Loamy Sand', '3': 'Sandy Loam', '4': 'Silt Loam', '5': 'Organic', '6': 'Sandy Clay Loam', '7': 'Silt Clay Loam', '8': 'Clay Loam', '9': 'Sandy Clay', '10': 'Silty Clay', '11': 'Clay', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_215", "modulename": "grib2io.tables.section4", "qualname": "table_4_215", "kind": "variable", "doc": "\n", "default_value": "{'0-49': 'Reserved', '50': 'No-Snow/No-Cloud', '51-99': 'Reserved', '100': 'Clouds', '101-249': 'Reserved', '250': 'Snow', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_216", "modulename": "grib2io.tables.section4", "qualname": "table_4_216", "kind": "variable", "doc": "\n", "default_value": "{'0-90': 'Elevation in increments of 100 m', '91-253': 'Reserved', '254': 'Clouds', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_217", "modulename": "grib2io.tables.section4", "qualname": "table_4_217", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Clear over water', '1': 'Clear over land', '2': 'Cloud', '3': 'No data', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_218", "modulename": "grib2io.tables.section4", "qualname": "table_4_218", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Scene Identified', '1': 'Green Needle-Leafed Forest', '2': 'Green Broad-Leafed Forest', '3': 'Deciduous Needle-Leafed Forest', '4': 'Deciduous Broad-Leafed Forest', '5': 'Deciduous Mixed Forest', '6': 'Closed Shrub-Land', '7': 'Open Shrub-Land', '8': 'Woody Savannah', '9': 'Savannah', '10': 'Grassland', '11': 'Permanent Wetland', '12': 'Cropland', '13': 'Urban', '14': 'Vegetation / Crops', '15': 'Permanent Snow / Ice', '16': 'Barren Desert', '17': 'Water Bodies', '18': 'Tundra', '19': 'Warm Liquid Water Cloud', '20': 'Supercooled Liquid Water Cloud', '21': 'Mixed Phase Cloud', '22': 'Optically Thin Ice Cloud', '23': 'Optically Thick Ice Cloud', '24': 'Multi-Layeblack Cloud', '25-96': 'Reserved', '97': 'Snow / Ice on Land', '98': 'Snow / Ice on Water', '99': 'Sun-Glint', '100': 'General Cloud', '101': 'Low Cloud / Fog / Stratus', '102': 'Low Cloud / Stratocumulus', '103': 'Low Cloud / Unknown Type', '104': 'Medium Cloud / Nimbostratus', '105': 'Medium Cloud / Altostratus', '106': 'Medium Cloud / Unknown Type', '107': 'High Cloud / Cumulus', '108': 'High Cloud / Cirrus', '109': 'High Cloud / Unknown Type', '110': 'Unknown Cloud Type', '111': 'Single layer water cloud', '112': 'Single layer ice cloud', '113-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_222", "modulename": "grib2io.tables.section4", "qualname": "table_4_222", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No', '1': 'Yes', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_223", "modulename": "grib2io.tables.section4", "qualname": "table_4_223", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Fire Detected', '1': 'Possible Fire Detected', '2': 'Probable Fire Detected', '3': 'Missing', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_224", "modulename": "grib2io.tables.section4", "qualname": "table_4_224", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Risk Area', '1': 'Reserved', '2': 'General Thunderstorm Risk Area', '3': 'Reserved', '4': 'Slight Risk Area', '5': 'Reserved', '6': 'Moderate Risk Area', '7': 'Reserved', '8': 'High Risk Area', '9-10': 'Reserved', '11': 'Dry Thunderstorm (Dry Lightning) Risk Area', '12-13': 'Reserved', '14': 'Critical Risk Area', '15-17': 'Reserved', '18': 'Extreamly Critical Risk Area', '19-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_227", "modulename": "grib2io.tables.section4", "qualname": "table_4_227", "kind": "variable", "doc": "\n", "default_value": "{'1': 'General', '2': 'Convective', '3': 'Stratiform', '4': 'Freezing', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_228", "modulename": "grib2io.tables.section4", "qualname": "table_4_228", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Trace', '2': 'Light', '3': 'Moderate', '4': 'Severe', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_233", "modulename": "grib2io.tables.section4", "qualname": "table_4_233", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Ozone', 'O3'], '1': ['Water Vapour', 'H2O'], '2': ['Methane', 'CH4'], '3': ['Carbon Dioxide', 'CO2'], '4': ['Carbon Monoxide', 'CO'], '5': ['Nitrogen Dioxide', 'NO2'], '6': ['Nitrous Oxide', 'N2O'], '7': ['Formaldehyde', 'HCHO'], '8': ['Sulphur Dioxide', 'SO2'], '9': ['Ammonia', 'NH3'], '10': ['Ammonium', 'NH4+'], '11': ['Nitrogen Monoxide', 'NO'], '12': ['Atomic Oxygen', 'O'], '13': ['Nitrate Radical', 'NO3'], '14': ['Hydroperoxyl Radical', 'HO2'], '15': ['Dinitrogen Pentoxide', 'H2O5'], '16': ['Nitrous Acid', 'HONO'], '17': ['Nitric Acid', 'HNO3'], '18': ['Peroxynitric Acid', 'HO2NO2'], '19': ['Hydrogen Peroxide', 'H2O2'], '20': ['Molecular Hydrogen', 'H'], '21': ['Atomic Nitrogen', 'N'], '22': ['Sulphate', 'SO42-'], '23': ['Radon', 'Rn'], '24': ['Elemental Mercury', 'Hg(O)'], '25': ['Divalent Mercury', 'Hg2+'], '26': ['Atomic Chlorine', 'Cl'], '27': ['Chlorine Monoxide', 'ClO'], '28': ['Dichlorine Peroxide', 'Cl2O2'], '29': ['Hypochlorous Acid', 'HClO'], '30': ['Chlorine Nitrate', 'ClONO2'], '31': ['Chlorine Dioxide', 'ClO2'], '32': ['Atomic Bromide', 'Br'], '33': ['Bromine Monoxide', 'BrO'], '34': ['Bromine Chloride', 'BrCl'], '35': ['Hydrogen Bromide', 'HBr'], '36': ['Hypobromous Acid', 'HBrO'], '37': ['Bromine Nitrate', 'BrONO2'], '38': ['Oxygen', 'O2'], '39-9999': ['Reserved', 'unknown'], '10000': ['Hydroxyl Radical', 'OH'], '10001': ['Methyl Peroxy Radical', 'CH3O2'], '10002': ['Methyl Hydroperoxide', 'CH3O2H'], '10003': ['Reserved', 'unknown'], '10004': ['Methanol', 'CH3OH'], '10005': ['Formic Acid', 'CH3OOH'], '10006': ['Hydrogen Cyanide', 'HCN'], '10007': ['Aceto Nitrile', 'CH3CN'], '10008': ['Ethane', 'C2H6'], '10009': ['Ethene (= Ethylene)', 'C2H4'], '10010': ['Ethyne (= Acetylene)', 'C2H2'], '10011': ['Ethanol', 'C2H5OH'], '10012': ['Acetic Acid', 'C2H5OOH'], '10013': ['Peroxyacetyl Nitrate', 'CH3C(O)OONO2'], '10014': ['Propane', 'C3H8'], '10015': ['Propene', 'C3H6'], '10016': ['Butanes', 'C4H10'], '10017': ['Isoprene', 'C5H10'], '10018': ['Alpha Pinene', 'C10H16'], '10019': ['Beta Pinene', 'C10H16'], '10020': ['Limonene', 'C10H16'], '10021': ['Benzene', 'C6H6'], '10022': ['Toluene', 'C7H8'], '10023': ['Xylene', 'C8H10'], '10024-10499': ['Reserved', 'unknown'], '10500': ['Dimethyl Sulphide', 'CH3SCH3'], '10501-20000': ['Reserved', 'unknown'], '20001': ['Hydrogen Chloride', 'HCL'], '20002': ['CFC-11', 'unknown'], '20003': ['CFC-12', 'unknown'], '20004': ['CFC-113', 'unknown'], '20005': ['CFC-113a', 'unknown'], '20006': ['CFC-114', 'unknown'], '20007': ['CFC-115', 'unknown'], '20008': ['HCFC-22', 'unknown'], '20009': ['HCFC-141b', 'unknown'], '20010': ['HCFC-142b', 'unknown'], '20011': ['Halon-1202', 'unknown'], '20012': ['Halon-1211', 'unknown'], '20013': ['Halon-1301', 'unknown'], '20014': ['Halon-2402', 'unknown'], '20015': ['Methyl Chloride (HCC-40)', 'unknown'], '20016': ['Carbon Tetrachloride (HCC-10)', 'unknown'], '20017': ['HCC-140a', 'CH3CCl3'], '20018': ['Methyl Bromide (HBC-40B1)', 'unknown'], '20019': ['Hexachlorocyclohexane (HCH)', 'unknown'], '20020': ['Alpha Hexachlorocyclohexane', 'unknown'], '20021': ['Hexachlorobiphenyl (PCB-153)', 'unknown'], '20022-29999': ['Reserved', 'unknown'], '30000': ['Radioactive Pollutant (Tracer, defined by originating centre)', 'unknown'], '30001-50000': ['Reserved', 'unknown'], '60000': ['HOx Radical (OH+HO2)', 'unknown'], '60001': ['Total Inorganic and Organic Peroxy Radicals (HO2+RO2)', 'RO2'], '60002': ['Passive Ozone', 'unknown'], '60003': ['NOx Expressed As Nitrogen', 'NOx'], '60004': ['All Nitrogen Oxides (NOy) Expressed As Nitrogen', 'NOy'], '60005': ['Total Inorganic Chlorine', 'Clx'], '60006': ['Total Inorganic Bromine', 'Brx'], '60007': ['Total Inorganic Chlorine Except HCl, ClONO2: ClOx', 'unknown'], '60008': ['Total Inorganic Bromine Except Hbr, BrONO2:BrOx', 'unknown'], '60009': ['Lumped Alkanes', 'unknown'], '60010': ['Lumped Alkenes', 'unknown'], '60011': ['Lumped Aromatic Coumpounds', 'unknown'], '60012': ['Lumped Terpenes', 'unknown'], '60013': ['Non-Methane Volatile Organic Compounds Expressed as Carbon', 'NMVOC'], '60014': ['Anthropogenic Non-Methane Volatile Organic Compounds Expressed as Carbon', 'aNMVOC'], '60015': ['Biogenic Non-Methane Volatile Organic Compounds Expressed as Carbon', 'bNMVOC'], '60016': ['Lumped Oxygenated Hydrocarbons', 'OVOC'], '60017-61999': ['Reserved', 'unknown'], '62000': ['Total Aerosol', 'unknown'], '62001': ['Dust Dry', 'unknown'], '62002': ['water In Ambient', 'unknown'], '62003': ['Ammonium Dry', 'unknown'], '62004': ['Nitrate Dry', 'unknown'], '62005': ['Nitric Acid Trihydrate', 'unknown'], '62006': ['Sulphate Dry', 'unknown'], '62007': ['Mercury Dry', 'unknown'], '62008': ['Sea Salt Dry', 'unknown'], '62009': ['Black Carbon Dry', 'unknown'], '62010': ['Particulate Organic Matter Dry', 'unknown'], '62011': ['Primary Particulate Organic Matter Dry', 'unknown'], '62012': ['Secondary Particulate Organic Matter Dry', 'unknown'], '62013': ['Black carbon hydrophilic dry', 'unknown'], '62014': ['Black carbon hydrophobic dry', 'unknown'], '62015': ['Particulate organic matter hydrophilic dry', 'unknown'], '62016': ['Particulate organic matter hydrophobic dry', 'unknown'], '62017': ['Nitrate hydrophilic dry', 'unknown'], '62018': ['Nitrate hydrophobic dry', 'unknown'], '62019': ['Reserved', 'unknown'], '62020': ['Smoke - high absorption', 'unknown'], '62021': ['Smoke - low absorption', 'unknown'], '62022': ['Aerosol - high absorption', 'unknown'], '62023': ['Aerosol - low absorption', 'unknown'], '62024': ['Reserved', 'unknown'], '62025': ['Volcanic ash', 'unknown'], '62036': ['Brown Carbon Dry', 'unknown'], '62037-65534': ['Reserved', 'unknown'], '65535': ['Missing', 'unknown']}"}, {"fullname": "grib2io.tables.section4.table_4_234", "modulename": "grib2io.tables.section4", "qualname": "table_4_234", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Crops, mixed farming', '2': 'Short grass', '3': 'Evergreen needleleaf trees', '4': 'Deciduous needleleaf trees', '5': 'Deciduous broadleaf trees', '6': 'Evergreen broadleaf trees', '7': 'Tall grass', '8': 'Desert', '9': 'Tundra', '10': 'Irrigated corps', '11': 'Semidesert', '12': 'Ice caps and glaciers', '13': 'Bogs and marshes', '14': 'Inland water', '15': 'Ocean', '16': 'Evergreen shrubs', '17': 'Deciduous shrubs', '18': 'Mixed forest', '19': 'Interrupted forest', '20': 'Water and land mixtures', '21-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_235", "modulename": "grib2io.tables.section4", "qualname": "table_4_235", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Total Wave Spectrum (combined wind waves and swell)', '1': 'Generalized Partition', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_236", "modulename": "grib2io.tables.section4", "qualname": "table_4_236", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Coarse', '2': 'Medium', '3': 'Medium-fine', '4': 'Fine', '5': 'Very-fine', '6': 'Organic', '7': 'Tropical-organic', '8-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_238", "modulename": "grib2io.tables.section4", "qualname": "table_4_238", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Aviation', '2': 'Lightning', '3': 'Biogenic Sources', '4': 'Anthropogenic sources', '5': 'Wild fires', '6': 'Natural sources', '7': 'Bio-fuel', '8': 'Volcanoes', '9': 'Fossil-fuel', '10': 'Wetlands', '11': 'Oceans', '12': 'Elevated anthropogenic sources', '13': 'Surface anthropogenic sources', '14': 'Agriculture livestock', '15': 'Agriculture soils', '16': 'Agriculture waste burning', '17': 'Agriculture (all)', '18': 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['Total Precipitation', 'kg m-2', 'APCP'], '9': ['Large-Scale Precipitation (non-convective)', 'kg m-2', 'NCPCP'], '10': ['Convective Precipitation', 'kg m-2', 'ACPCP'], '11': ['Snow Depth', 'm', 'SNOD'], '12': ['Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'SRWEQ'], '13': ['Water Equivalent of Accumulated Snow Depth', 'kg m-2', 'WEASD'], '14': ['Convective Snow', 'kg m-2', 'SNOC'], '15': ['Large-Scale Snow', 'kg m-2', 'SNOL'], '16': ['Snow Melt', 'kg m-2', 'SNOM'], '17': ['Snow Age', 'day', 'SNOAG'], '18': ['Absolute Humidity', 'kg m-3', 'ABSH'], '19': ['Precipitation Type', 'See Table 4.201', 'PTYPE'], '20': ['Integrated Liquid Water', 'kg m-2', 'ILIQW'], '21': ['Condensate', 'kg kg-1', 'TCOND'], '22': ['Cloud Mixing Ratio', 'kg kg-1', 'CLMR'], '23': ['Ice Water Mixing Ratio', 'kg kg-1', 'ICMR'], '24': ['Rain Mixing Ratio', 'kg kg-1', 'RWMR'], '25': ['Snow Mixing Ratio', 'kg kg-1', 'SNMR'], '26': ['Horizontal Moisture Convergence', 'kg kg-1 s-1', 'MCONV'], '27': ['Maximum Relative Humidity', '%', 'MAXRH'], '28': ['Maximum Absolute Humidity', 'kg m-3', 'MAXAH'], '29': ['Total Snowfall', 'm', 'ASNOW'], '30': ['Precipitable Water Category', 'See Table 4.202', 'PWCAT'], '31': ['Hail', 'm', 'HAIL'], '32': ['Graupel', 'kg kg-1', 'GRLE'], '33': ['Categorical Rain', 'Code table 4.222', 'CRAIN'], '34': ['Categorical Freezing Rain', 'Code table 4.222', 'CFRZR'], '35': ['Categorical Ice Pellets', 'Code table 4.222', 'CICEP'], '36': ['Categorical Snow', 'Code table 4.222', 'CSNOW'], '37': ['Convective Precipitation Rate', 'kg m-2 s-1', 'CPRAT'], '38': ['Horizontal Moisture Divergence', 'kg kg-1 s-1', 'MDIVER'], '39': ['Percent frozen precipitation', '%', 'CPOFP'], '40': ['Potential Evaporation', 'kg m-2', 'PEVAP'], '41': ['Potential Evaporation Rate', 'W m-2', 'PEVPR'], '42': ['Snow Cover', '%', 'SNOWC'], '43': ['Rain Fraction of Total Cloud Water', 'Proportion', 'FRAIN'], '44': ['Rime Factor', 'Numeric', 'RIME'], '45': ['Total Column Integrated Rain', 'kg m-2', 'TCOLR'], '46': ['Total Column Integrated Snow', 'kg m-2', 'TCOLS'], '47': ['Large Scale Water Precipitation (Non-Convective)', 'kg m-2', 'LSWP'], '48': ['Convective Water Precipitation', 'kg m-2', 'CWP'], '49': ['Total Water Precipitation', 'kg m-2', 'TWATP'], '50': ['Total Snow Precipitation', 'kg m-2', 'TSNOWP'], '51': ['Total Column Water (Vertically integrated total water (vapour+cloud water/ice)', 'kg m-2', 'TCWAT'], '52': ['Total Precipitation Rate', 'kg m-2 s-1', 'TPRATE'], '53': ['Total Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'TSRWE'], '54': ['Large Scale Precipitation Rate', 'kg m-2 s-1', 'LSPRATE'], '55': ['Convective Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'CSRWE'], '56': ['Large Scale Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'LSSRWE'], '57': ['Total Snowfall Rate', 'm s-1', 'TSRATE'], '58': ['Convective Snowfall Rate', 'm s-1', 'CSRATE'], '59': ['Large Scale Snowfall Rate', 'm s-1', 'LSSRATE'], '60': ['Snow Depth Water Equivalent', 'kg m-2', 'SDWE'], '61': ['Snow Density', 'kg m-3', 'SDEN'], '62': ['Snow Evaporation', 'kg m-2', 'SEVAP'], '63': ['Reserved', 'unknown', 'unknown'], '64': ['Total Column Integrated Water Vapour', 'kg m-2', 'TCIWV'], '65': ['Rain Precipitation Rate', 'kg m-2 s-1', 'RPRATE'], '66': ['Snow Precipitation Rate', 'kg m-2 s-1', 'SPRATE'], '67': ['Freezing Rain Precipitation Rate', 'kg m-2 s-1', 'FPRATE'], '68': ['Ice Pellets Precipitation Rate', 'kg m-2 s-1', 'IPRATE'], '69': ['Total Column Integrate Cloud Water', 'kg m-2', 'TCOLW'], '70': ['Total Column Integrate Cloud Ice', 'kg m-2', 'TCOLI'], '71': ['Hail Mixing Ratio', 'kg kg-1', 'HAILMXR'], '72': ['Total Column Integrate Hail', 'kg m-2', 'TCOLH'], '73': ['Hail Prepitation Rate', 'kg m-2 s-1', 'HAILPR'], '74': ['Total Column Integrate Graupel', 'kg m-2', 'TCOLG'], '75': ['Graupel (Snow Pellets) Prepitation Rate', 'kg m-2 s-1', 'GPRATE'], '76': ['Convective Rain Rate', 'kg m-2 s-1', 'CRRATE'], '77': ['Large Scale Rain Rate', 'kg m-2 s-1', 'LSRRATE'], '78': ['Total Column Integrate Water (All components including precipitation)', 'kg m-2', 'TCOLWA'], '79': ['Evaporation Rate', 'kg m-2 s-1', 'EVARATE'], '80': ['Total Condensate', 'kg kg-1', 'TOTCON'], '81': ['Total Column-Integrate Condensate', 'kg m-2', 'TCICON'], '82': ['Cloud Ice Mixing Ratio', 'kg kg-1', 'CIMIXR'], '83': ['Specific Cloud Liquid Water Content', 'kg kg-1', 'SCLLWC'], '84': ['Specific Cloud Ice Water Content', 'kg kg-1', 'SCLIWC'], '85': ['Specific Rain Water Content', 'kg kg-1', 'SRAINW'], '86': ['Specific Snow Water Content', 'kg kg-1', 'SSNOWW'], '87': ['Stratiform Precipitation Rate', 'kg m-2 s-1', 'STRPRATE'], '88': ['Categorical Convective Precipitation', 'Code table 4.222', 'CATCP'], '89': ['Reserved', 'unknown', 'unknown'], '90': ['Total Kinematic Moisture Flux', 'kg kg-1 m s-1', 'TKMFLX'], '91': ['U-component (zonal) Kinematic Moisture Flux', 'kg kg-1 m s-1', 'UKMFLX'], '92': ['V-component (meridional) Kinematic Moisture Flux', 'kg kg-1 m s-1', 'VKMFLX'], '93': ['Relative Humidity With Respect to Water', '%', 'RHWATER'], '94': ['Relative Humidity With Respect to Ice', '%', 'RHICE'], '95': ['Freezing or Frozen Precipitation Rate', 'kg m-2 s-1', 'FZPRATE'], '96': ['Mass Density of Rain', 'kg m-3', 'MASSDR'], '97': ['Mass Density of Snow', 'kg m-3', 'MASSDS'], '98': ['Mass Density of Graupel', 'kg m-3', 'MASSDG'], '99': ['Mass Density of Hail', 'kg m-3', 'MASSDH'], '100': ['Specific Number Concentration of Rain', 'kg-1', 'SPNCR'], '101': ['Specific Number Concentration of Snow', 'kg-1', 'SPNCS'], '102': ['Specific Number Concentration of Graupel', 'kg-1', 'SPNCG'], '103': ['Specific Number Concentration of Hail', 'kg-1', 'SPNCH'], '104': ['Number Density of Rain', 'm-3', 'NUMDR'], '105': ['Number Density of Snow', 'm-3', 'NUMDS'], '106': ['Number Density of Graupel', 'm-3', 'NUMDG'], '107': ['Number Density of Hail', 'm-3', 'NUMDH'], '108': ['Specific Humidity Tendency due to Parameterizations', 'kg kg-1 s-1', 'SHTPRM'], '109': ['Mass Density of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWHVA'], '110': ['Specific Mass of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWHMA'], '111': ['Mass Mixing Ratio of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWHDA'], '112': ['Mass Density of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWGVA'], '113': ['Specific Mass of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWGMA'], '114': ['Mass Mixing Ratio of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWGDA'], '115': ['Mass Density of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWSVA'], '116': ['Specific Mass of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWSMA'], '117': ['Mass Mixing Ratio of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWSDA'], '118': ['Unbalanced Component of Specific Humidity', 'kg kg-1', 'UNCSH'], '119': ['Unbalanced Component of Specific Cloud Liquid Water content', 'kg kg-1', 'UCSCLW'], '120': ['Unbalanced Component of Specific Cloud Ice Water content', 'kg kg-1', 'UCSCIW'], '121': ['Fraction of Snow Cover', 'Proportion', 'FSNOWC'], '122': ['Precipitation intensity index', 'See Table 4.247', 'PIIDX'], '123': ['Domiunknownt precipitation type', 'See Table 4.201', 'DPTYPE'], '124': ['Presence of showers', 'See Table 4.222', 'PSHOW'], '125': ['Presence of blowing snow', 'See Table 4.222', 'PBSNOW'], '126': ['Presence of blizzard', 'See Table 4.222', 'PBLIZZ'], '127': ['Ice pellets (non-water equivalent) precipitation rate', 'm s-1', 'ICEP'], '128': ['Total solid precipitation rate', 'kg m-2 s-1', 'TSPRATE'], '129': ['Effective Radius of Cloud Water', 'm', 'EFRCWAT'], '130': ['Effective Radius of Rain', 'm', 'EFRRAIN'], '131': ['Effective Radius of Cloud Ice', 'm', 'EFRCICE'], '132': ['Effective Radius of Snow', 'm', 'EFRSNOW'], '133': ['Effective Radius of Graupel', 'm', 'EFRGRL'], '134': ['Effective Radius of Hail', 'm', 'EFRHAIL'], '135': ['Effective Radius of Subgrid Liquid Clouds', 'm', 'EFRSLC'], '136': ['Effective Radius of Subgrid Ice Clouds', 'm', 'EFRSICEC'], '137': ['Effective Aspect Ratio of Rain', 'unknown', 'EFARRAIN'], '138': ['Effective Aspect Ratio of Cloud Ice', 'unknown', 'EFARCICE'], '139': ['Effective Aspect Ratio of Snow', 'unknown', 'EFARSNOW'], '140': ['Effective Aspect Ratio of Graupel', 'unknown', 'EFARGRL'], '141': ['Effective Aspect Ratio of Hail', 'unknown', 'EFARHAIL'], '142': ['Effective Aspect Ratio of Subgrid Ice Clouds', 'unknown', 'EFARSIC'], '143': ['Potential evaporation rate', 'kg m-2 s-1', 'PERATE'], '144': ['Specific rain water content (convective)', 'kg kg-1', 'SRWATERC'], '145': ['Specific snow water content (convective)', 'kg kg-1', 'SSNOWWC'], '146': ['Cloud ice precipitation rate', 'kg m-2 s-1', 'CICEPR'], '147': ['Character of precipitation', 'See Table 4.249', 'CHPRECIP'], '148': ['Snow evaporation rate', 'kg m-2 s-1', 'SNOWERAT'], '149': ['Cloud water mixing ratio', 'kg kg-1', 'CWATERMR'], '150': ['Column integrated eastward water vapour mass flux', 'kg m-1s-1', 'CEWVMF'], '151': ['Column integrated northward water vapour mass flux', 'kg m-1s-1', 'CNWVMF'], '152': ['Column integrated eastward cloud liquid water mass flux', 'kg m-1s-1', 'CECLWMF'], '153': ['Column integrated northward cloud liquid water mass flux', 'kg m-1s-1', 'CNCLWMF'], '154': ['Column integrated eastward cloud ice mass flux', 'kg m-1s-1', 'CECIMF'], '155': ['Column integrated northward cloud ice mass flux', 'kg m-1s-1', 'CNCIMF'], '156': ['Column integrated eastward rain mass flux', 'kg m-1s-1', 'CERMF'], '157': ['Column integrated northward rain mass flux', 'kg m-1s-1', 'CNRMF'], '158': ['Column integrated eastward snow mass flux', 'kg m-1s-1', 'CEFMF'], '159': ['Column integrated northward snow mass flux', 'kg m-1s-1', 'CNSMF'], '160': ['Column integrated divergence of water vapour mass flux', 'kg m-1s-1', 'CDWFMF'], '161': ['Column integrated divergence of cloud liquid water mass flux', 'kg m-1s-1', 'CDCLWMF'], '162': ['Column integrated divergence of cloud ice mass flux', 'kg m-1s-1', 'CDCIMF'], '163': ['Column integrated divergence of rain mass flux', 'kg m-1s-1', 'CDRMF'], '164': ['Column integrated divergence of snow mass flux', 'kg m-1s-1', 'CDSMF'], '165': ['Column integrated divergence of total water mass flux', 'kg m-1s-1', 'CDTWMF'], '166': ['Column integrated water vapour flux', 'kg m-1s-1', 'CWVF'], '167': ['Total column supercooled liquid water', 'kg m-2', 'TCSLW'], '168': ['Saturation specific humidity with respect to water', 'kg m-3', 'SSPFHW'], '169': ['Total column integrated saturation specific humidity with respect to water', 'kg m-2', 'TCISSPFHW'], '170-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Categorical Rain', 'Code table 4.222', 'CRAIN'], '193': ['Categorical Freezing Rain', 'Code table 4.222', 'CFRZR'], '194': ['Categorical Ice Pellets', 'Code table 4.222', 'CICEP'], '195': ['Categorical Snow', 'Code table 4.222', 'CSNOW'], '196': ['Convective Precipitation Rate', 'kg m-2 s-1', 'CPRAT'], '197': ['Horizontal Moisture Divergence', 'kg kg-1 s-1', 'MDIV'], '198': ['Minimum Relative Humidity', '%', 'MINRH'], '199': ['Potential Evaporation', 'kg m-2', 'PEVAP'], '200': ['Potential Evaporation Rate', 'W m-2', 'PEVPR'], '201': ['Snow Cover', '%', 'SNOWC'], '202': ['Rain Fraction of Total Liquid Water', 'non-dim', 'FRAIN'], '203': ['Rime Factor', 'non-dim', 'RIME'], '204': ['Total Column Integrated Rain', 'kg m-2', 'TCOLR'], '205': ['Total Column Integrated Snow', 'kg m-2', 'TCOLS'], '206': ['Total Icing Potential Diagnostic', 'non-dim', 'TIPD'], '207': ['Number concentration for ice particles', 'non-dim', 'NCIP'], '208': ['Snow temperature', 'K', 'SNOT'], '209': ['Total column-integrated supercooled liquid water', 'kg m-2', 'TCLSW'], '210': ['Total column-integrated melting ice', 'kg m-2', 'TCOLM'], '211': ['Evaporation - Precipitation', 'cm/day', 'EMNP'], '212': ['Sublimation (evaporation from snow)', 'W m-2', 'SBSNO'], '213': ['Deep Convective Moistening Rate', 'kg kg-1 s-1', 'CNVMR'], '214': ['Shallow Convective Moistening Rate', 'kg kg-1 s-1', 'SHAMR'], '215': ['Vertical Diffusion Moistening Rate', 'kg kg-1 s-1', 'VDFMR'], '216': ['Condensation Pressure of Parcali Lifted From Indicate Surface', 'Pa', 'CONDP'], '217': ['Large scale moistening rate', 'kg kg-1 s-1', 'LRGMR'], '218': ['Specific humidity at top of viscous sublayer', 'kg kg-1', 'QZ0'], '219': ['Maximum specific humidity at 2m', 'kg kg-1', 'QMAX'], '220': ['Minimum specific humidity at 2m', 'kg kg-1', 'QMIN'], '221': ['Liquid precipitation (Rainfall)', 'kg m-2', 'ARAIN'], '222': ['Snow temperature, depth-avg', 'K', 'SNOWT'], '223': ['Total precipitation (nearest grid point)', 'kg m-2', 'APCPN'], '224': ['Convective precipitation (nearest grid point)', 'kg m-2', 'ACPCPN'], '225': ['Freezing Rain', 'kg m-2', 'FRZR'], '226': ['Predominant Weather (see Local Use Note A)', 'Numeric', 'PWTHER'], '227': ['Frozen Rain', 'kg m-2', 'FROZR'], '228': ['Flat Ice Accumulation (FRAM)', 'kg m-2', 'FICEAC'], '229': ['Line Ice Accumulation (FRAM)', 'kg m-2', 'LICEAC'], '230': ['Sleet Accumulation', 'kg m-2', 'SLACC'], '231': ['Precipitation Potential Index', '%', 'PPINDX'], '232': ['Probability Cloud Ice Present', '%', 'PROBCIP'], '233': ['Snow Liquid ratio', 'kg kg-1', 'SNOWLR'], '234': ['Precipitation Duration', 'hour', 'PCPDUR'], '235': ['Cloud Liquid Mixing Ratio', 'kg kg-1', 'CLLMR'], '236-240': ['Reserved', 'unknown', 'unknown'], '241': ['Total Snow', 'kg m-2', 'TSNOW'], '242': ['Relative Humidity with Respect to Precipitable Water', '%', 'RHPW'], '245': ['Hourly Maximum of Column Vertical Integrated Graupel on Entire Atmosphere', 'kg m-2', 'MAXVIG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_2", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Wind Direction (from which blowing)', '\u00b0', 'WDIR'], '1': ['Wind Speed', 'm s-1', 'WIND'], '2': ['U-Component of Wind', 'm s-1', 'UGRD'], '3': ['V-Component of Wind', 'm s-1', 'VGRD'], '4': ['Stream Function', 'm2 s-1', 'STRM'], '5': ['Velocity Potential', 'm2 s-1', 'VPOT'], '6': ['Montgomery Stream Function', 'm2 s-2', 'MNTSF'], '7': ['Sigma Coordinate Vertical Velocity', 's-1', 'SGCVV'], '8': ['Vertical Velocity (Pressure)', 'Pa s-1', 'VVEL'], '9': ['Vertical Velocity (Geometric)', 'm s-1', 'DZDT'], '10': ['Absolute Vorticity', 's-1', 'ABSV'], '11': ['Absolute Divergence', 's-1', 'ABSD'], '12': ['Relative Vorticity', 's-1', 'RELV'], '13': ['Relative Divergence', 's-1', 'RELD'], '14': ['Potential Vorticity', 'K m2 kg-1 s-1', 'PVORT'], '15': ['Vertical U-Component Shear', 's-1', 'VUCSH'], '16': ['Vertical V-Component Shear', 's-1', 'VVCSH'], '17': ['Momentum Flux, U-Component', 'N m-2', 'UFLX'], '18': ['Momentum Flux, V-Component', 'N m-2', 'VFLX'], '19': ['Wind Mixing Energy', 'J', 'WMIXE'], '20': ['Boundary Layer Dissipation', 'W m-2', 'BLYDP'], '21': ['Maximum Wind Speed', 'm s-1', 'MAXGUST'], '22': ['Wind Speed (Gust)', 'm s-1', 'GUST'], '23': ['U-Component of Wind (Gust)', 'm s-1', 'UGUST'], '24': ['V-Component of Wind (Gust)', 'm s-1', 'VGUST'], '25': ['Vertical Speed Shear', 's-1', 'VWSH'], '26': ['Horizontal Momentum Flux', 'N m-2', 'MFLX'], '27': ['U-Component Storm Motion', 'm s-1', 'USTM'], '28': ['V-Component Storm Motion', 'm s-1', 'VSTM'], '29': ['Drag Coefficient', 'Numeric', 'CD'], '30': ['Frictional Velocity', 'm s-1', 'FRICV'], '31': ['Turbulent Diffusion Coefficient for Momentum', 'm2 s-1', 'TDCMOM'], '32': ['Eta Coordinate Vertical Velocity', 's-1', 'ETACVV'], '33': ['Wind Fetch', 'm', 'WINDF'], '34': ['Normal Wind Component', 'm s-1', 'NWIND'], '35': ['Tangential Wind Component', 'm s-1', 'TWIND'], '36': ['Amplitude Function for Rossby Wave Envelope for Meridional Wind', 'm s-1', 'AFRWE'], '37': ['Northward Turbulent Surface Stress', 'N m-2 s', 'NTSS'], '38': ['Eastward Turbulent Surface Stress', 'N m-2 s', 'ETSS'], '39': ['Eastward Wind Tendency Due to Parameterizations', 'm s-2', 'EWTPARM'], '40': ['Northward Wind Tendency Due to Parameterizations', 'm s-2', 'NWTPARM'], '41': ['U-Component of Geostrophic Wind', 'm s-1', 'UGWIND'], '42': ['V-Component of Geostrophic Wind', 'm s-1', 'VGWIND'], '43': ['Geostrophic Wind Direction', '\u00b0', 'GEOWD'], '44': ['Geostrophic Wind Speed', 'm s-1', 'GEOWS'], '45': ['Unbalanced Component of Divergence', 's-1', 'UNDIV'], '46': ['Vorticity Advection', 's-2', 'VORTADV'], '47': ['Surface roughness for heat,(see Note 5)', 'm', 'SFRHEAT'], '48': ['Surface roughness for moisture,(see Note 6)', 'm', 'SFRMOIST'], '49': ['Wind stress', 'N m-2', 'WINDSTR'], '50': ['Eastward wind stress', 'N m-2', 'EWINDSTR'], '51': ['Northward wind stress', 'N m-2', 'NWINDSTR'], '52': ['u-component of wind stress', 'N m-2', 'UWINDSTR'], '53': ['v-component of wind stress', 'N m-2', 'VWINDSTR'], '54': ['Natural logarithm of surface roughness length for heat', 'm', 'NLSRLH'], '55': ['Natural logarithm of surface roughness length for moisture', 'm', 'NLSRLM'], '56': ['u-component of neutral wind', 'm s-1', 'UNWIND'], '57': ['v-component of neutral wind', 'm s-1', 'VNWIND'], '58': ['Magnitude of turbulent surface stress', 'N m-2', 'TSFCSTR'], '59': ['Vertical divergence', 's-1', 'VDIV'], '60': ['Drag thermal coefficient', 'Numeric', 'DTC'], '61': ['Drag evaporation coefficient', 'Numeric', 'DEC'], '62': ['Eastward turbulent surface stress', 'N m-2', 'EASTTSS'], '63': ['Northward turbulent surface stress', 'N m-2', 'NRTHTSS'], '64': ['Eastward turbulent surface stress due to orographic form drag', 'N m-2', 'EASTTSSOD'], '65': ['Northward turbulent surface stress due to orographic form drag', 'N m-2', 'NRTHTSSOD'], '66': ['Eastward turbulent surface stress due to surface roughness', 'N m-2', 'EASTTSSSR'], '67': ['Northward turbulent surface stress due to surface roughness', 'N m-2', 'NRTHTSSSR'], '68-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Vertical Speed Shear', 's-1', 'VWSH'], '193': ['Horizontal Momentum Flux', 'N m-2', 'MFLX'], '194': ['U-Component Storm Motion', 'm s-1', 'USTM'], '195': ['V-Component Storm Motion', 'm s-1', 'VSTM'], '196': ['Drag Coefficient', 'non-dim', 'CD'], '197': ['Frictional Velocity', 'm s-1', 'FRICV'], '198': ['Latitude of U Wind Component of Velocity', 'deg', 'LAUV'], '199': ['Longitude of U Wind Component of Velocity', 'deg', 'LOUV'], '200': ['Latitude of V Wind Component of Velocity', 'deg', 'LAVV'], '201': ['Longitude of V Wind Component of Velocity', 'deg', 'LOVV'], '202': ['Latitude of Presure Point', 'deg', 'LAPP'], '203': ['Longitude of Presure Point', 'deg', 'LOPP'], '204': ['Vertical Eddy Diffusivity Heat exchange', 'm2 s-1', 'VEDH'], '205': ['Covariance between Meridional and Zonal Components of the wind.', 'm2 s-2', 'COVMZ'], '206': ['Covariance between Temperature and Zonal Components of the wind.', 'K*m s-1', 'COVTZ'], '207': ['Covariance between Temperature and Meridional Components of the wind.', 'K*m s-1', 'COVTM'], '208': ['Vertical Diffusion Zonal Acceleration', 'm s-2', 'VDFUA'], '209': ['Vertical Diffusion Meridional Acceleration', 'm s-2', 'VDFVA'], '210': ['Gravity wave drag zonal acceleration', 'm s-2', 'GWDU'], '211': ['Gravity wave drag meridional acceleration', 'm s-2', 'GWDV'], '212': ['Convective zonal momentum mixing acceleration', 'm s-2', 'CNVU'], '213': ['Convective meridional momentum mixing acceleration', 'm s-2', 'CNVV'], '214': ['Tendency of vertical velocity', 'm s-2', 'WTEND'], '215': ['Omega (Dp/Dt) divide by density', 'K', 'OMGALF'], '216': ['Convective Gravity wave drag zonal acceleration', 'm s-2', 'CNGWDU'], '217': ['Convective Gravity wave drag meridional acceleration', 'm s-2', 'CNGWDV'], '218': ['Velocity Point Model Surface', 'unknown', 'LMV'], '219': ['Potential Vorticity (Mass-Weighted)', '1/s/m', 'PVMWW'], '220': ['Hourly Maximum of Upward Vertical Velocity', 'm s-1', 'MAXUVV'], '221': ['Hourly Maximum of Downward Vertical Velocity', 'm s-1', 'MAXDVV'], '222': ['U Component of Hourly Maximum 10m Wind Speed', 'm s-1', 'MAXUW'], '223': ['V Component of Hourly Maximum 10m Wind Speed', 'm s-1', 'MAXVW'], '224': ['Ventilation Rate', 'm2 s-1', 'VRATE'], '225': ['Transport Wind Speed', 'm s-1', 'TRWSPD'], '226': ['Transport Wind Direction', 'Deg', 'TRWDIR'], '227': ['Earliest Reasonable Arrival Time (10% exceedance)', 's', 'TOA10'], '228': ['Most Likely Arrival Time (50% exceedance)', 's', 'TOA50'], '229': ['Most Likely Departure Time (50% exceedance)', 's', 'TOD50'], '230': ['Latest Reasonable Departure Time (90% exceedance)', 's', 'TOD90'], '231': ['Tropical Wind Direction', '\u00b0', 'TPWDIR'], '232': ['Tropical Wind Speed', 'm s-1', 'TPWSPD'], '233': ['Inflow Based (ESFC) to 50% EL Shear Magnitude', 'kt', 'ESHR'], '234': ['U Component Inflow Based to 50% EL Shear Vector', 'kt', 'UESH'], '235': ['V Component Inflow Based to 50% EL Shear Vector', 'kt', 'VESH'], '236': ['U Component Bunkers Effective Right Motion', 'kt', 'UEID'], '237': ['V Component Bunkers Effective Right Motion', 'kt', 'VEID'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_3", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Pressure', 'Pa', 'PRES'], '1': ['Pressure Reduced to MSL', 'Pa', 'PRMSL'], '2': ['Pressure Tendency', 'Pa s-1', 'PTEND'], '3': ['ICAO Standard Atmosphere Reference Height', 'm', 'ICAHT'], '4': ['Geopotential', 'm2 s-2', 'GP'], '5': ['Geopotential Height', 'gpm', 'HGT'], '6': ['Geometric Height', 'm', 'DIST'], '7': ['Standard Deviation of Height', 'm', 'HSTDV'], '8': ['Pressure Anomaly', 'Pa', 'PRESA'], '9': ['Geopotential Height Anomaly', 'gpm', 'GPA'], '10': ['Density', 'kg m-3', 'DEN'], '11': ['Altimeter Setting', 'Pa', 'ALTS'], '12': ['Thickness', 'm', 'THICK'], '13': ['Pressure Altitude', 'm', 'PRESALT'], '14': ['Density Altitude', 'm', 'DENALT'], '15': ['5-Wave Geopotential Height', 'gpm', '5WAVH'], '16': ['Zonal Flux of Gravity Wave Stress', 'N m-2', 'U-GWD'], '17': ['Meridional Flux of Gravity Wave Stress', 'N m-2', 'V-GWD'], '18': ['Planetary Boundary Layer Height', 'm', 'HPBL'], '19': ['5-Wave Geopotential Height Anomaly', 'gpm', '5WAVA'], '20': ['Standard Deviation of Sub-Grid Scale Orography', 'm', 'SDSGSO'], '21': ['Angle of Sub-Grid Scale Orography', 'rad', 'AOSGSO'], '22': ['Slope of Sub-Grid Scale Orography', 'Numeric', 'SSGSO'], '23': ['Gravity Wave Dissipation', 'W m-2', 'GWD'], '24': ['Anisotropy of Sub-Grid Scale Orography', 'Numeric', 'ASGSO'], '25': ['Natural Logarithm of Pressure in Pa', 'Numeric', 'NLPRES'], '26': ['Exner Pressure', 'Numeric', 'EXPRES'], '27': ['Updraught Mass Flux', 'kg m-2 s-1', 'UMFLX'], '28': ['Downdraught Mass Flux', 'kg m-2 s-1', 'DMFLX'], '29': ['Updraught Detrainment Rate', 'kg m-3 s-1', 'UDRATE'], '30': ['Downdraught Detrainment Rate', 'kg m-3 s-1', 'DDRATE'], '31': ['Unbalanced Component of Logarithm of Surface Pressure', '-', 'UCLSPRS'], '32': ['Saturation water vapour pressure', 'Pa', 'SWATERVP'], '33': ['Geometric altitude above mean sea level', 'm', 'GAMSL'], '34': ['Geometric height above ground level', 'm', 'GHAGRD'], '35': ['Column integrated divergence of total mass flux', 'kg m-2 s-1', 'CDTMF'], '36': ['Column integrated eastward total mass flux', 'kg m-2 s-1', 'CETMF'], '37': ['Column integrated northward total mass flux', 'kg m-2 s-1', 'CNTMF'], '38': ['Standard deviation of filtered subgrid orography', 'm', 'SDFSO'], '39': ['Column integrated mass of atmosphere', 'kg m-2 s-1', 'CMATMOS'], '40': ['Column integrated eastward geopotential flux', 'W m-1', 'CEGFLUX'], '41': ['Column integrated northward geopotential flux', 'W m-1', 'CNGFLUX'], '42': ['Column integrated divergence of water geopotential flux', 'W m-2', 'CDWGFLUX'], '43': ['Column integrated divergence of geopotential flux', 'W m-2', 'CDGFLUX'], '44': ['Height of zero-degree wet-bulb temperature', 'm', 'HWBT'], '45': ['Height of one-degree wet-bulb temperature', 'm', 'WOBT'], '46': ['Pressure departure from hydrostatic state', 'Pa', 'PRESDHS'], '47-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['MSLP (Eta model reduction)', 'Pa', 'MSLET'], '193': ['5-Wave Geopotential Height', 'gpm', '5WAVH'], '194': ['Zonal Flux of Gravity Wave Stress', 'N m-2', 'U-GWD'], '195': ['Meridional Flux of Gravity Wave Stress', 'N m-2', 'V-GWD'], '196': ['Planetary Boundary Layer Height', 'm', 'HPBL'], '197': ['5-Wave Geopotential Height Anomaly', 'gpm', '5WAVA'], '198': ['MSLP (MAPS System Reduction)', 'Pa', 'MSLMA'], '199': ['3-hr pressure tendency (Std. Atmos. Reduction)', 'Pa s-1', 'TSLSA'], '200': ['Pressure of level from which parcel was lifted', 'Pa', 'PLPL'], '201': ['X-gradient of Log Pressure', 'm-1', 'LPSX'], '202': ['Y-gradient of Log Pressure', 'm-1', 'LPSY'], '203': ['X-gradient of Height', 'm-1', 'HGTX'], '204': ['Y-gradient of Height', 'm-1', 'HGTY'], '205': ['Layer Thickness', 'm', 'LAYTH'], '206': ['Natural Log of Surface Pressure', 'ln (kPa)', 'NLGSP'], '207': ['Convective updraft mass flux', 'kg m-2 s-1', 'CNVUMF'], '208': ['Convective downdraft mass flux', 'kg m-2 s-1', 'CNVDMF'], '209': ['Convective detrainment mass flux', 'kg m-2 s-1', 'CNVDEMF'], '210': ['Mass Point Model Surface', 'unknown', 'LMH'], '211': ['Geopotential Height (nearest grid point)', 'gpm', 'HGTN'], '212': ['Pressure (nearest grid point)', 'Pa', 'PRESN'], '213': ['Orographic Convexity', 'unknown', 'ORCONV'], '214': ['Orographic Asymmetry, W Component', 'unknown', 'ORASW'], '215': ['Orographic Asymmetry, S Component', 'unknown', 'ORASS'], '216': ['Orographic Asymmetry, SW Component', 'unknown', 'ORASSW'], '217': ['Orographic Asymmetry, NW Component', 'unknown', 'ORASNW'], '218': ['Orographic Length Scale, W Component', 'unknown', 'ORLSW'], '219': ['Orographic Length Scale, S Component', 'unknown', 'ORLSS'], '220': ['Orographic Length Scale, SW Component', 'unknown', 'ORLSSW'], '221': ['Orographic Length Scale, NW Component', 'unknown', 'ORLSNW'], '222': ['Effective Surface Height', 'm', 'EFSH'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_4", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Net Short-Wave Radiation Flux (Surface)', 'W m-2', 'NSWRS'], '1': ['Net Short-Wave Radiation Flux (Top of Atmosphere)', 'W m-2', 'NSWRT'], '2': ['Short-Wave Radiation Flux', 'W m-2', 'SWAVR'], '3': ['Global Radiation Flux', 'W m-2', 'GRAD'], '4': ['Brightness Temperature', 'K', 'BRTMP'], '5': ['Radiance (with respect to wave number)', 'W m-1 sr-1', 'LWRAD'], '6': ['Radiance (with respect to wavelength)', 'W m-3 sr-1', 'SWRAD'], '7': ['Downward Short-Wave Radiation Flux', 'W m-2', 'DSWRF'], '8': ['Upward Short-Wave Radiation Flux', 'W m-2', 'USWRF'], '9': ['Net Short Wave Radiation Flux', 'W m-2', 'NSWRF'], '10': ['Photosynthetically Active Radiation', 'W m-2', 'PHOTAR'], '11': ['Net Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'NSWRFCS'], '12': ['Downward UV Radiation', 'W m-2', 'DWUVR'], '13': ['Direct Short Wave Radiation Flux', 'W m-2', 'DSWRFLX'], '14': ['Diffuse Short Wave Radiation Flux', 'W m-2', 'DIFSWRF'], '15': ['Upward UV radiation emitted/reflected from the Earths surface', 'W m-2', 'UVVEARTH'], '16-49': ['Reserved', 'unknown', 'unknown'], '50': ['UV Index (Under Clear Sky)', 'Numeric', 'UVIUCS'], '51': ['UV Index', 'Numeric', 'UVI'], '52': ['Downward Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'DSWRFCS'], '53': ['Upward Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'USWRFCS'], '54': ['Direct normal short-wave radiation flux,(see Note 3)', 'W m-2', 'DNSWRFLX'], '55': ['UV visible albedo for diffuse radiation', '%', 'UVALBDIF'], '56': ['UV visible albedo for direct radiation', '%', 'UVALBDIR'], '57': ['UV visible albedo for direct radiation, geometric component', '%', 'UBALBDIRG'], '58': ['UV visible albedo for direct radiation, isotropic component', '%', 'UVALBDIRI'], '59': ['UV visible albedo for direct radiation, volumetric component', '%', 'UVBDIRV'], '60': ['Photosynthetically active radiation flux, clear sky', 'W m-2', 'PHOARFCS'], '61': ['Direct short-wave radiation flux, clear sky', 'W m-2', 'DSWRFLXCS'], '62-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Downward Short-Wave Radiation Flux', 'W m-2', 'DSWRF'], '193': ['Upward Short-Wave Radiation Flux', 'W m-2', 'USWRF'], '194': ['UV-B Downward Solar Flux', 'W m-2', 'DUVB'], '195': ['Clear sky UV-B Downward Solar Flux', 'W m-2', 'CDUVB'], '196': ['Clear Sky Downward Solar Flux', 'W m-2', 'CSDSF'], '197': ['Solar Radiative Heating Rate', 'K s-1', 'SWHR'], '198': ['Clear Sky Upward Solar Flux', 'W m-2', 'CSUSF'], '199': ['Cloud Forcing Net Solar Flux', 'W m-2', 'CFNSF'], '200': ['Visible Beam Downward Solar Flux', 'W m-2', 'VBDSF'], '201': ['Visible Diffuse Downward Solar Flux', 'W m-2', 'VDDSF'], '202': ['Near IR Beam Downward Solar Flux', 'W m-2', 'NBDSF'], '203': ['Near IR Diffuse Downward Solar Flux', 'W m-2', 'NDDSF'], '204': ['Downward Total Radiation Flux', 'W m-2', 'DTRF'], '205': ['Upward Total Radiation Flux', 'W m-2', 'UTRF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_5", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Net Long-Wave Radiation Flux (Surface)', 'W m-2', 'NLWRS'], '1': ['Net Long-Wave Radiation Flux (Top of Atmosphere)', 'W m-2', 'NLWRT'], '2': ['Long-Wave Radiation Flux', 'W m-2', 'LWAVR'], '3': ['Downward Long-Wave Rad. Flux', 'W m-2', 'DLWRF'], '4': ['Upward Long-Wave Rad. Flux', 'W m-2', 'ULWRF'], '5': ['Net Long-Wave Radiation Flux', 'W m-2', 'NLWRF'], '6': ['Net Long-Wave Radiation Flux, Clear Sky', 'W m-2', 'NLWRCS'], '7': ['Brightness Temperature', 'K', 'BRTEMP'], '8': ['Downward Long-Wave Radiation Flux, Clear Sky', 'W m-2', 'DLWRFCS'], '9': ['Near IR albedo for diffuse radiation', '%', 'NIRALBDIF'], '10': ['Near IR albedo for direct radiation', '%', 'NIRALBDIR'], '11': ['Near IR albedo for direct radiation, geometric component', '%', 'NIRALBDIRG'], '12': ['Near IR albedo for direct radiation, isotropic component', '%', 'NIRALBDIRI'], '13': ['Near IR albedo for direct radiation, volumetric component', '%', 'NIRALBDIRV'], '14-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Downward Long-Wave Rad. Flux', 'W m-2', 'DLWRF'], '193': ['Upward Long-Wave Rad. Flux', 'W m-2', 'ULWRF'], '194': ['Long-Wave Radiative Heating Rate', 'K s-1', 'LWHR'], '195': ['Clear Sky Upward Long Wave Flux', 'W m-2', 'CSULF'], '196': ['Clear Sky Downward Long Wave Flux', 'W m-2', 'CSDLF'], '197': ['Cloud Forcing Net Long Wave Flux', 'W m-2', 'CFNLF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_6", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Cloud Ice', 'kg m-2', 'CICE'], '1': ['Total Cloud Cover', '%', 'TCDC'], '2': ['Convective Cloud Cover', '%', 'CDCON'], '3': ['Low Cloud Cover', '%', 'LCDC'], '4': ['Medium Cloud Cover', '%', 'MCDC'], '5': ['High Cloud Cover', '%', 'HCDC'], '6': ['Cloud Water', 'kg m-2', 'CWAT'], '7': ['Cloud Amount', '%', 'CDCA'], '8': ['Cloud Type', 'See Table 4.203', 'CDCT'], '9': ['Thunderstorm Maximum Tops', 'm', 'TMAXT'], '10': ['Thunderstorm Coverage', 'See Table 4.204', 'THUNC'], '11': ['Cloud Base', 'm', 'CDCB'], '12': ['Cloud Top', 'm', 'CDCTOP'], '13': ['Ceiling', 'm', 'CEIL'], '14': ['Non-Convective Cloud Cover', '%', 'CDLYR'], '15': ['Cloud Work Function', 'J kg-1', 'CWORK'], '16': ['Convective Cloud Efficiency', 'Proportion', 'CUEFI'], '17': ['Total Condensate', 'kg kg-1', 'TCONDO'], '18': ['Total Column-Integrated Cloud Water', 'kg m-2', 'TCOLWO'], '19': ['Total Column-Integrated Cloud Ice', 'kg m-2', 'TCOLIO'], '20': ['Total Column-Integrated Condensate', 'kg m-2', 'TCOLC'], '21': ['Ice fraction of total condensate', 'Proportion', 'FICE'], '22': ['Cloud Cover', '%', 'CDCC'], '23': ['Cloud Ice Mixing Ratio', 'kg kg-1', 'CDCIMR'], '24': ['Sunshine', 'Numeric', 'SUNS'], '25': ['Horizontal Extent of Cumulonimbus (CB)', '%', 'CBHE'], '26': ['Height of Convective Cloud Base', 'm', 'HCONCB'], '27': ['Height of Convective Cloud Top', 'm', 'HCONCT'], '28': ['Number Concentration of Cloud Droplets', 'kg-1', 'NCONCD'], '29': ['Number Concentration of Cloud Ice', 'kg-1', 'NCCICE'], '30': ['Number Density of Cloud Droplets', 'm-3', 'NDENCD'], '31': ['Number Density of Cloud Ice', 'm-3', 'NDCICE'], '32': ['Fraction of Cloud Cover', 'Numeric', 'FRACCC'], '33': ['Sunshine Duration', 's', 'SUNSD'], '34': ['Surface Long Wave Effective Total Cloudiness', 'Numeric', 'SLWTC'], '35': ['Surface Short Wave Effective Total Cloudiness', 'Numeric', 'SSWTC'], '36': ['Fraction of Stratiform Precipitation Cover', 'Proportion', 'FSTRPC'], '37': ['Fraction of Convective Precipitation Cover', 'Proportion', 'FCONPC'], '38': ['Mass Density of Cloud Droplets', 'kg m-3', 'MASSDCD'], '39': ['Mass Density of Cloud Ice', 'kg m-3', 'MASSDCI'], '40': ['Mass Density of Convective Cloud Water Droplets', 'kg m-3', 'MDCCWD'], '41-46': ['Reserved', 'unknown', 'unknown'], '47': ['Volume Fraction of Cloud Water Droplets', 'Numeric', 'VFRCWD'], '48': ['Volume Fraction of Cloud Ice Particles', 'Numeric', 'VFRCICE'], '49': ['Volume Fraction of Cloud (Ice and/or Water)', 'Numeric', 'VFRCIW'], '50': ['Fog', '%', 'FOG'], '51': ['Sunshine Duration Fraction', 'Proportion', 'SUNFRAC'], '52-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Non-Convective Cloud Cover', '%', 'CDLYR'], '193': ['Cloud Work Function', 'J kg-1', 'CWORK'], '194': ['Convective Cloud Efficiency', 'non-dim', 'CUEFI'], '195': ['Total Condensate', 'kg kg-1', 'TCOND'], '196': ['Total Column-Integrated Cloud Water', 'kg m-2', 'TCOLW'], '197': ['Total Column-Integrated Cloud Ice', 'kg m-2', 'TCOLI'], '198': ['Total Column-Integrated Condensate', 'kg m-2', 'TCOLC'], '199': ['Ice fraction of total condensate', 'non-dim', 'FICE'], '200': ['Convective Cloud Mass Flux', 'Pa s-1', 'MFLUX'], '201': ['Sunshine Duration', 's', 'SUNSD'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_7", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_7", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Parcel Lifted Index (to 500 hPa)', 'K', 'PLI'], '1': ['Best Lifted Index (to 500 hPa)', 'K', 'BLI'], '2': ['K Index', 'K', 'KX'], '3': ['KO Index', 'K', 'KOX'], '4': ['Total Totals Index', 'K', 'TOTALX'], '5': ['Sweat Index', 'Numeric', 'SX'], '6': ['Convective Available Potential Energy', 'J kg-1', 'CAPE'], '7': ['Convective Inhibition', 'J kg-1', 'CIN'], '8': ['Storm Relative Helicity', 'm2 s-2', 'HLCY'], '9': ['Energy Helicity Index', 'Numeric', 'EHLX'], '10': ['Surface Lifted Index', 'K', 'LFT X'], '11': ['Best (4 layer) Lifted Index', 'K', '4LFTX'], '12': ['Richardson Number', 'Numeric', 'RI'], '13': ['Showalter Index', 'K', 'SHWINX'], '14': ['Reserved', 'unknown', 'unknown'], '15': ['Updraft Helicity', 'm2 s-2', 'UPHL'], '16': ['Bulk Richardson Number', 'Numeric', 'BLKRN'], '17': ['Gradient Richardson Number', 'Numeric', 'GRDRN'], '18': ['Flux Richardson Number', 'Numeric', 'FLXRN'], '19': ['Convective Available Potential Energy Shear', 'm2 s-2', 'CONAPES'], '20': ['Thunderstorm intensity index', 'See Table 4.246', 'TIIDEX'], '21-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Surface Lifted Index', 'K', 'LFT X'], '193': ['Best (4 layer) Lifted Index', 'K', '4LFTX'], '194': ['Richardson Number', 'Numeric', 'RI'], '195': ['Convective Weather Detection Index', 'unknown', 'CWDI'], '196': ['Ultra Violet Index', 'W m-2', 'UVI'], '197': ['Updraft Helicity', 'm2 s-2', 'UPHL'], '198': ['Leaf Area Index', 'Numeric', 'LAI'], '199': ['Hourly Maximum of Updraft Helicity', 'm2 s-2', 'MXUPHL'], '200': ['Hourly Minimum of Updraft Helicity', 'm2 s-2', 'MNUPHL'], '201': ['Bourgoiun Negative Energy Layer (surface to freezing level)', 'J kg-1', 'BNEGELAY'], '202': ['Bourgoiun Positive Energy Layer (2k ft AGL to 400 hPa)', 'J kg-1', 'BPOSELAY'], '203': ['Downdraft CAPE', 'J kg-1', 'DCAPE'], '204': ['Effective Storm Relative Helicity', 'm2 s-2', 'EFHL'], '205': ['Enhanced Stretching Potential', 'Numeric', 'ESP'], '206': ['Critical Angle', 'Degree', 'CANGLE'], '207': ['Effective Surface Helicity', 'm2 s-2', 'E3KH'], '208': ['Significant Tornado Parameter with CIN-Effective Layer', 'numeric', 'STPC'], '209': ['Significant Hail Parameter', 'numeric', 'SIGH'], '210': ['Supercell Composite Parameter-Effective Layer', 'numeric', 'SCCP'], '211': ['Significant Tornado parameter-Fixed Layer', 'numeric', 'SIGT'], '212': ['Mixed Layer (100 mb) Virtual LFC', 'numeric', 'MLFC'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_13", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_13", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Aerosol Type', 'See Table 4.205', 'AEROT'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Particulate matter (coarse)', '\u00b5g m-3', 'PMTC'], '193': ['Particulate matter (fine)', '\u00b5g m-3', 'PMTF'], '194': ['Particulate matter (fine)', 'log10 (\u00b5g m-3)', 'LPMTF'], '195': ['Integrated column particulate matter (fine)', 'log10 (\u00b5g m-3)', 'LIPMF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_14", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_14", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Total Ozone', 'DU', 'TOZNE'], '1': ['Ozone Mixing Ratio', 'kg kg-1', 'O3MR'], '2': ['Total Column Integrated Ozone', 'DU', 'TCIOZ'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Ozone Mixing Ratio', 'kg kg-1', 'O3MR'], '193': ['Ozone Concentration', 'ppb', 'OZCON'], '194': ['Categorical Ozone Concentration', 'Non-Dim', 'OZCAT'], '195': ['Ozone Vertical Diffusion', 'kg kg-1 s-1', 'VDFOZ'], '196': ['Ozone Production', 'kg kg-1 s-1', 'POZ'], '197': ['Ozone Tendency', 'kg kg-1 s-1', 'TOZ'], '198': ['Ozone Production from Temperature Term', 'kg kg-1 s-1', 'POZT'], '199': ['Ozone Production from Column Ozone Term', 'kg kg-1 s-1', 'POZO'], '200': ['Ozone Daily Max from 1-hour Average', 'ppbV', 'OZMAX1'], '201': ['Ozone Daily Max from 8-hour Average', 'ppbV', 'OZMAX8'], '202': ['PM 2.5 Daily Max from 1-hour Average', '\u03bcg m-3', 'PDMAX1'], '203': ['PM 2.5 Daily Max from 24-hour Average', '\u03bcg m-3', 'PDMAX24'], '204': ['Acetaldehyde & Higher Aldehydes', 'ppbV', 'ALD2'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_15", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_15", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Base Spectrum Width', 'm s-1', 'BSWID'], '1': ['Base Reflectivity', 'dB', 'BREF'], '2': ['Base Radial Velocity', 'm s-1', 'BRVEL'], '3': ['Vertically-Integrated Liquid Water', 'kg m-2', 'VIL'], '4': ['Layer Maximum Base Reflectivity', 'dB', 'LMAXBR'], '5': ['Precipitation', 'kg m-2', 'PREC'], '6': ['Radar Spectra (1)', 'unknown', 'RDSP1'], '7': ['Radar Spectra (2)', 'unknown', 'RDSP2'], '8': ['Radar Spectra (3)', 'unknown', 'RDSP3'], '9': ['Reflectivity of Cloud Droplets', 'dB', 'RFCD'], '10': ['Reflectivity of Cloud Ice', 'dB', 'RFCI'], '11': ['Reflectivity of Snow', 'dB', 'RFSNOW'], '12': ['Reflectivity of Rain', 'dB', 'RFRAIN'], '13': ['Reflectivity of Graupel', 'dB', 'RFGRPL'], '14': ['Reflectivity of Hail', 'dB', 'RFHAIL'], '15': ['Hybrid Scan Reflectivity', 'dB', 'HSR'], '16': ['Hybrid Scan Reflectivity Height', 'm', 'HSRHT'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_16", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_16", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Equivalent radar reflectivity factor for rain', 'm m6 m-3', 'REFZR'], '1': ['Equivalent radar reflectivity factor for snow', 'm m6 m-3', 'REFZI'], '2': ['Equivalent radar reflectivity factor for parameterized convection', 'm m6 m-3', 'REFZC'], '3': ['Echo Top', 'm', 'RETOP'], '4': ['Reflectivity', 'dB', 'REFD'], '5': ['Composite reflectivity', 'dB', 'REFC'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Equivalent radar reflectivity factor for rain', 'm m6 m-3', 'REFZR'], '193': ['Equivalent radar reflectivity factor for snow', 'm m6 m-3', 'REFZI'], '194': ['Equivalent radar reflectivity factor for parameterized convection', 'm m6 m-3', 'REFZC'], '195': ['Reflectivity', 'dB', 'REFD'], '196': ['Composite reflectivity', 'dB', 'REFC'], '197': ['Echo Top', 'm', 'RETOP'], '198': ['Hourly Maximum of Simulated Reflectivity', 'dB', 'MAXREF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_17", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_17", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Lightning Strike Density', 'm-2 s-1', 'LTNGSD'], '1': ['Lightning Potential Index (LPI)', 'J kg-1', 'LTPINX'], '2': ['Cloud-to-Ground Lightning Flash Density', 'km-2 day-1', 'CDGDLTFD'], '3': ['Cloud-to-Cloud Lightning Flash Density', 'km-2 day-1', 'CDCDLTFD'], '4': ['Total Lightning Flash Density', 'km-2 day-1', 'TLGTFD'], '5': ['Subgrid-scale lightning potential index', 'J kg-1', 'SLNGPIDX'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Lightning', 'non-dim', 'LTNG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_18", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_18", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Air Concentration of Caesium 137', 'Bq m-3', 'ACCES'], '1': ['Air Concentration of Iodine 131', 'Bq m-3', 'ACIOD'], '2': ['Air Concentration of Radioactive Pollutant', 'Bq m-3', 'ACRADP'], '3': ['Ground Deposition of Caesium 137', 'Bq m-2', 'GDCES'], '4': ['Ground Deposition of Iodine 131', 'Bq m-2', 'GDIOD'], '5': ['Ground Deposition of Radioactive Pollutant', 'Bq m-2', 'GDRADP'], '6': ['Time Integrated Air Concentration of Cesium Pollutant', 'Bq s m-3', 'TIACCP'], '7': ['Time Integrated Air Concentration of Iodine Pollutant', 'Bq s m-3', 'TIACIP'], '8': ['Time Integrated Air Concentration of Radioactive Pollutant', 'Bq s m-3', 'TIACRP'], '9': ['Reserved', 'unknown', 'unknown'], '10': ['Air Concentration', 'Bq m-3', 'AIRCON'], '11': ['Wet Deposition', 'Bq m-2', 'WETDEP'], '12': ['Dry Deposition', 'Bq m-2', 'DRYDEP'], '13': ['Total Deposition (Wet + Dry)', 'Bq m-2', 'TOTLWD'], '14': ['Specific Activity Concentration', 'Bq kg-1', 'SACON'], '15': ['Maximum of Air Concentration in Layer', 'Bq m-3', 'MAXACON'], '16': ['Height of Maximum of Air Concentration', 'm', 'HMXACON'], '17': ['Column-Integrated Air Concentration', 'Bq m-2', 'CIAIRC'], '18': ['Column-Averaged Air Concentration in Layer', 'Bq m-3', 'CAACL'], '19-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_19", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_19", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Visibility', 'm', 'VIS'], '1': ['Albedo', '%', 'ALBDO'], '2': ['Thunderstorm Probability', '%', 'TSTM'], '3': ['Mixed Layer Depth', 'm', 'MIXHT'], '4': ['Volcanic Ash', 'See Table 4.206', 'VOLASH'], '5': ['Icing Top', 'm', 'ICIT'], '6': ['Icing Base', 'm', 'ICIB'], '7': ['Icing', 'See Table 4.207', 'ICI'], '8': ['Turbulence Top', 'm', 'TURBT'], '9': ['Turbulence Base', 'm', 'TURBB'], '10': ['Turbulence', 'See Table 4.208', 'TURB'], '11': ['Turbulent Kinetic Energy', 'J kg-1', 'TKE'], '12': ['Planetary Boundary Layer Regime', 'See Table 4.209', 'PBLREG'], '13': ['Contrail Intensity', 'See Table 4.210', 'CONTI'], '14': ['Contrail Engine Type', 'See Table 4.211', 'CONTET'], '15': ['Contrail Top', 'm', 'CONTT'], '16': ['Contrail Base', 'm', 'CONTB'], '17': ['Maximum Snow Albedo', '%', 'MXSALB'], '18': ['Snow-Free Albedo', '%', 'SNFALB'], '19': ['Snow Albedo', '%', 'SALBD'], '20': ['Icing', '%', 'ICIP'], '21': ['In-Cloud Turbulence', '%', 'CTP'], '22': ['Clear Air Turbulence (CAT)', '%', 'CAT'], '23': ['Supercooled Large Droplet Probability', '%', 'SLDP'], '24': ['Convective Turbulent Kinetic Energy', 'J kg-1', 'CONTKE'], '25': ['Weather', 'See Table 4.225', 'WIWW'], '26': ['Convective Outlook', 'See Table 4.224', 'CONVO'], '27': ['Icing Scenario', 'See Table 4.227', 'ICESC'], '28': ['Mountain Wave Turbulence (Eddy Dissipation Rate)', 'm2/3 s-1', 'MWTURB'], '29': ['Clear Air Turbulence (CAT) (Eddy Dissipation Rate)', 'm2/3 s-1', 'CATEDR'], '30': ['Eddy Dissipation Parameter', 'm2/3 s-1', 'EDPARM'], '31': ['Maximum of Eddy Dissipation Parameter in Layer', 'm2/3 s-1', 'MXEDPRM'], '32': ['Highest Freezing Level', 'm', 'HIFREL'], '33': ['Visibility Through Liquid Fog', 'm', 'VISLFOG'], '34': ['Visibility Through Ice Fog', 'm', 'VISIFOG'], '35': ['Visibility Through Blowing Snow', 'm', 'VISBSN'], '36': ['Presence of Snow Squalls', 'See Table 4.222', 'PSNOWS'], '37': ['Icing Severity', 'See Table 4.228', 'ICESEV'], '38': ['Sky transparency index', 'See Table 4.214', 'SKYIDX'], '39': ['Seeing index', 'See Table 4.214', 'SEEINDEX'], '40': ['Snow level', 'm', 'SNOWLVL'], '41': ['Duct base height', 'm', 'DBHEIGHT'], '42': ['Trapping layer base height', 'm', 'TLBHEIGHT'], '43': ['Trapping layer top height', 'm', 'TLTHEIGHT'], '44': ['Mean vertical gradient of refractivity inside trapping layer', 'm-1', 'MEANVGRTL'], '45': ['Minimum vertical gradient of refractivity inside trapping layer', 'm-1', 'MINVGRTL'], '46': ['Net radiation flux', 'W m-2', 'NETRADFLUX'], '47': ['Global irradiance on tilted surfaces', 'W m-2', 'GLIRRTS'], '48': ['Top of persistent contrails', 'm', 'PCONTT'], '49': ['Base of persistent contrails', 'm', 'PCONTB'], '50': ['Convectively-induced turbulence (CIT) (eddy dissipation rate)', 'm2/3 s-1', 'CITEDR'], '51-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Maximum Snow Albedo', '%', 'MXSALB'], '193': ['Snow-Free Albedo', '%', 'SNFALB'], '194': ['Slight risk convective outlook', 'categorical', 'SRCONO'], '195': ['Moderate risk convective outlook', 'categorical', 'MRCONO'], '196': ['High risk convective outlook', 'categorical', 'HRCONO'], '197': ['Tornado probability', '%', 'TORPROB'], '198': ['Hail probability', '%', 'HAILPROB'], '199': ['Wind probability', '%', 'WINDPROB'], '200': ['Significant Tornado probability', '%', 'STORPROB'], '201': ['Significant Hail probability', '%', 'SHAILPRO'], '202': ['Significant Wind probability', '%', 'SWINDPRO'], '203': ['Categorical Thunderstorm', 'Code table 4.222', 'TSTMC'], '204': ['Number of mixed layers next to surface', 'integer', 'MIXLY'], '205': ['Flight Category', 'unknown', 'FLGHT'], '206': ['Confidence - Ceiling', 'unknown', 'CICEL'], '207': ['Confidence - Visibility', 'unknown', 'CIVIS'], '208': ['Confidence - Flight Category', 'unknown', 'CIFLT'], '209': ['Low-Level aviation interest', 'unknown', 'LAVNI'], '210': ['High-Level aviation interest', 'unknown', 'HAVNI'], '211': ['Visible, Black Sky Albedo', '%', 'SBSALB'], '212': ['Visible, White Sky Albedo', '%', 'SWSALB'], '213': ['Near IR, Black Sky Albedo', '%', 'NBSALB'], '214': ['Near IR, White Sky Albedo', '%', 'NWSALB'], '215': ['Total Probability of Severe Thunderstorms (Days 2,3)', '%', 'PRSVR'], '216': ['Total Probability of Extreme Severe Thunderstorms (Days 2,3)', '%', 'PRSIGSVR'], '217': ['Supercooled Large Droplet (SLD) Icing', 'See Table 4.207', 'SIPD'], '218': ['Radiative emissivity', 'unknown', 'EPSR'], '219': ['Turbulence Potential Forecast Index', 'unknown', 'TPFI'], '220': ['Categorical Severe Thunderstorm', 'Code table 4.222', 'SVRTS'], '221': ['Probability of Convection', '%', 'PROCON'], '222': ['Convection Potential', 'Code table 4.222', 'CONVP'], '223-231': ['Reserved', 'unknown', 'unknown'], '232': ['Volcanic Ash Forecast Transport and Dispersion', 'log10 (kg m-3)', 'VAFTD'], '233': ['Icing probability', 'non-dim', 'ICPRB'], '234': ['Icing Severity', 'non-dim', 'ICSEV'], '235': ['Joint Fire Weather Probability', '%', 'JFWPRB'], '236': ['Snow Level', 'm', 'SNOWLVL'], '237': ['Dry Thunderstorm Probability', '%', 'DRYTPROB'], '238': ['Ellrod Index', 'unknown', 'ELLINX'], '239': ['Craven-Wiedenfeld Aggregate Severe Parameter', 'Numeric', 'CWASP'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_20", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_20", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Mass Density (Concentration)', 'kg m-3', 'MASSDEN'], '1': ['Column-Integrated Mass Density', 'kg m-2', 'COLMD'], '2': ['Mass Mixing Ratio (Mass Fraction in Air)', 'kg kg-1', 'MASSMR'], '3': ['Atmosphere Emission Mass Flux', 'kg m-2s-1', 'AEMFLX'], '4': ['Atmosphere Net Production Mass Flux', 'kg m-2s-1', 'ANPMFLX'], '5': ['Atmosphere Net Production And Emision Mass Flux', 'kg m-2s-1', 'ANPEMFLX'], '6': ['Surface Dry Deposition Mass Flux', 'kg m-2s-1', 'SDDMFLX'], '7': ['Surface Wet Deposition Mass Flux', 'kg m-2s-1', 'SWDMFLX'], '8': ['Atmosphere Re-Emission Mass Flux', 'kg m-2s-1', 'AREMFLX'], '9': ['Wet Deposition by Large-Scale Precipitation Mass Flux', 'kg m-2s-1', 'WLSMFLX'], '10': ['Wet Deposition by Convective Precipitation Mass Flux', 'kg m-2s-1', 'WDCPMFLX'], '11': ['Sedimentation Mass Flux', 'kg m-2s-1', 'SEDMFLX'], '12': ['Dry Deposition Mass Flux', 'kg m-2s-1', 'DDMFLX'], '13': ['Transfer From Hydrophobic to Hydrophilic', 'kg kg-1s-1', 'TRANHH'], '14': ['Transfer From SO2 (Sulphur Dioxide) to SO4 (Sulphate)', 'kg kg-1s-1', 'TRSDS'], '15': ['Dry deposition velocity', 'm s-1', 'DDVEL'], '16': ['Mass mixing ratio with respect to dry air', 'kg kg-1', 'MSSRDRYA'], '17': ['Mass mixing ratio with respect to wet air', 'kg kg-1', 'MSSRWETA'], '18': ['Potential of hydrogen (pH)', 'pH', 'POTHPH'], '19-49': ['Reserved', 'unknown', 'unknown'], '50': ['Amount in Atmosphere', 'mol', 'AIA'], '51': ['Concentration In Air', 'mol m-3', 'CONAIR'], '52': ['Volume Mixing Ratio (Fraction in Air)', 'mol mol-1', 'VMXR'], '53': ['Chemical Gross Production Rate of Concentration', 'mol m-3s-1', 'CGPRC'], '54': ['Chemical Gross Destruction Rate of Concentration', 'mol m-3s-1', 'CGDRC'], '55': ['Surface Flux', 'mol m-2s-1', 'SFLUX'], '56': ['Changes Of Amount in Atmosphere', 'mol s-1', 'COAIA'], '57': ['Total Yearly Average Burden of The Atmosphere>', 'mol', 'TYABA'], '58': ['Total Yearly Average Atmospheric Loss', 'mol s-1', 'TYAAL'], '59': ['Aerosol Number Concentration', 'm-3', 'ANCON'], '60': ['Aerosol Specific Number Concentration', 'kg-1', 'ASNCON'], '61': ['Maximum of Mass Density', 'kg m-3', 'MXMASSD'], '62': ['Height of Mass Density', 'm', 'HGTMD'], '63': ['Column-Averaged Mass Density in Layer', 'kg m-3', 'CAVEMDL'], '64': ['Mole fraction with respect to dry air', 'mol mol-1', 'MOLRDRYA'], '65': ['Mole fraction with respect to wet air', 'mol mol-1', 'MOLRWETA'], '66': ['Column-integrated in-cloud scavenging rate by precipitation', 'kg m-2 s-1', 'CINCLDSP'], '67': ['Column-integrated below-cloud scavenging rate by precipitation', 'kg m-2 s-1', 'CBLCLDSP'], '68': ['Column-integrated release rate from evaporating precipitation', 'kg m-2 s-1', 'CIRELREP'], '69': ['Column-integrated in-cloud scavenging rate by large-scale precipitation', 'kg m-2 s-1', 'CINCSLSP'], '70': ['Column-integrated below-cloud scavenging rate by large-scale precipitation', 'kg m-2 s-1', 'CBECSLSP'], '71': ['Column-integrated release rate from evaporating large-scale precipitation', 'kg m-2 s-1', 'CRERELSP'], '72': ['Column-integrated in-cloud scavenging rate by convective precipitation', 'kg m-2 s-1', 'CINCSRCP'], '73': ['Column-integrated below-cloud scavenging rate by convective precipitation', 'kg m-2 s-1', 'CBLCSRCP'], '74': ['Column-integrated release rate from evaporating convective precipitation', 'kg m-2 s-1', 'CIRERECP'], '75': ['Wildfire flux', 'kg m-2 s-1', 'WFIREFLX'], '76': ['Emission Rate', 'kg kg-1 s-1', 'EMISFLX'], '77': ['Surface Emission flux', 'kg m-2 s-1', 'SFCEFLX'], '78': ['Column integrated eastward mass flux', 'kg m-2 s-1', 'CEMF'], '79': ['Column integrated northward mass flux', 'kg m-2 s-1', 'CNMF'], '80': ['Column integrated divergence of mass flux', 'kg m-2 s-1', 'CDIVMF'], '81': ['Column integrated net source', 'kg m-2 s-1', 'CDNETS'], '82-99': ['Reserved', 'unknown', 'unknown'], '100': ['Surface Area Density (Aerosol)', 'm-1', 'SADEN'], '101': ['Vertical Visual Range', 'm', 'ATMTK'], '102': ['Aerosol Optical Thickness', 'Numeric', 'AOTK'], '103': ['Single Scattering Albedo', 'Numeric', 'SSALBK'], '104': ['Asymmetry Factor', 'Numeric', 'ASYSFK'], '105': ['Aerosol Extinction Coefficient', 'm-1', 'AECOEF'], '106': ['Aerosol Absorption Coefficient', 'm-1', 'AACOEF'], '107': ['Aerosol Lidar Backscatter from Satellite', 'm-1sr-1', 'ALBSAT'], '108': ['Aerosol Lidar Backscatter from the Ground', 'm-1sr-1', 'ALBGRD'], '109': ['Aerosol Lidar Extinction from Satellite', 'm-1', 'ALESAT'], '110': ['Aerosol Lidar Extinction from the Ground', 'm-1', 'ALEGRD'], '111': ['Angstrom Exponent', 'Numeric', 'ANGSTEXP'], '112': ['Scattering Aerosol Optical Thickness', 'Numeric', 'SCTAOTK'], '113-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_190", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_190", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Arbitrary Text String', 'CCITTIA5', 'ATEXT'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_191", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_191", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Seconds prior to initial reference time (defined in Section 1)', 's', 'TSEC'], '1': ['Geographical Latitude', '\u00b0 N', 'GEOLAT'], '2': ['Geographical Longitude', '\u00b0 E', 'GEOLON'], '3': ['Days Since Last Observation', 'd', 'DSLOBS'], '4': ['Tropical cyclone density track', 'Numeric', 'TCDTRACK'], '5-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Latitude (-90 to 90)', '\u00b0', 'NLAT'], '193': ['East Longitude (0 to 360)', '\u00b0', 'ELON'], '194': ['Seconds prior to initial reference time', 's', 'RTSEC'], '195': ['Model Layer number (From bottom up)', 'unknown', 'MLYNO'], '196': ['Latitude (nearest neighbor) (-90 to 90)', '\u00b0', 'NLATN'], '197': ['East Longitude (nearest neighbor) (0 to 360)', '\u00b0', 'ELONN'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_192", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_192", "kind": "variable", "doc": "\n", "default_value": "{'1': ['Covariance between zonal and meridional components of the wind. Defined as [uv]-[u][v], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVMZ'], '2': ['Covariance between zonal component of the wind and temperature. Defined as [uT]-[u][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTZ'], '3': ['Covariance between meridional component of the wind and temperature. Defined as [vT]-[v][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTM'], '4': ['Covariance between temperature and vertical component of the wind. Defined as [wT]-[w][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTW'], '5': ['Covariance between zonal and zonal components of the wind. Defined as [uu]-[u][u], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVZZ'], '6': ['Covariance between meridional and meridional components of the wind. Defined as [vv]-[v][v], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVMM'], '7': ['Covariance between specific humidity and zonal components of the wind. Defined as [uq]-[u][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*m/s', 'COVQZ'], '8': ['Covariance between specific humidity and meridional components of the wind. Defined as [vq]-[v][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*m/s', 'COVQM'], '9': ['Covariance between temperature and vertical components of the wind. Defined as [\u03a9T]-[\u03a9][T], where "[]" indicates the mean over the indicated time span.', 'K*Pa/s', 'COVTVV'], '10': ['Covariance between specific humidity and vertical components of the wind. Defined as [\u03a9q]-[\u03a9][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*Pa/s', 'COVQVV'], '11': ['Covariance between surface pressure and surface pressure. Defined as [Psfc]-[Psfc][Psfc], where "[]" indicates the mean over the indicated time span.', 'Pa*Pa', 'COVPSPS'], '12': ['Covariance between specific humidity and specific humidy. Defined as [qq]-[q][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*kg/kg', 'COVQQ'], '13': ['Covariance between vertical and vertical components of the wind. Defined as [\u03a9\u03a9]-[\u03a9][\u03a9], where "[]" indicates the mean over the indicated time span.', 'Pa2/s2', 'COVVVVV'], '14': ['Covariance between temperature and temperature. Defined as [TT]-[T][T], where "[]" indicates the mean over the indicated time span.', 'K*K', 'COVTT'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_0_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_0_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'193': ['Apparent Temperature', 'K', 'APPT']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_1_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_1_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'192': ['Weather Information', 'WxInfo', 'WX']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_19_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_19_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'194': ['Convective Hazard Outlook', 'categorical', 'CONVOUTLOOK'], '197': ['Probability of Tornado', '%', 'PTORNADO'], '198': ['Probability of Hail', '%', 'PHAIL'], '199': ['Probability of Damaging Wind', '%', 'PWIND'], '200': ['Probability of Extreme Tornado', '%', 'PXTRMTORN'], '201': ['Probability of Extreme Hail', '%', 'PXTRMHAIL'], '202': ['Probability of Extreme Wind', '%', 'PXTRMWIND'], '215': ['Total Probability of Severe Thunderstorms', '%', 'TOTALSVRPROB'], '216': ['Total Probability of Extreme Severe Thunderstorms', '%', 'TOTALXTRMPROB'], '217': ['Watch Warning Advisory', 'WxInfo', 'WWA']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_192_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_192_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'192': ['Critical Fire Weather', '', 'FIREWX'], '194': ['Dry Lightning', '', 'DRYLIGHTNING']}"}, {"fullname": "grib2io.tables.section4_discipline1", "modulename": "grib2io.tables.section4_discipline1", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_0", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Flash Flood Guidance (Encoded as an accumulation over a floating subinterval of time between the reference time and valid time)', 'kg m-2', 'FFLDG'], '1': ['Flash Flood Runoff (Encoded as an accumulation over a floating subinterval of time)', 'kg m-2', 'FFLDRO'], '2': ['Remotely Sensed Snow Cover', 'See Table 4.215', 'RSSC'], '3': ['Elevation of Snow Covered Terrain', 'See Table 4.216', 'ESCT'], '4': ['Snow Water Equivalent Percent of Normal', '%', 'SWEPON'], '5': ['Baseflow-Groundwater Runoff', 'kg m-2', 'BGRUN'], '6': ['Storm Surface Runoff', 'kg m-2', 'SSRUN'], '7': ['Discharge from Rivers or Streams', 'm3 s-1', 'DISRS'], '8': ['Group Water Upper Storage', 'kg m-2', 'GWUPS'], '9': ['Group Water Lower Storage', 'kg m-2', 'GWLOWS'], '10': ['Side Flow into River Channel', 'm3 s-1 m-1', 'SFLORC'], '11': ['River Storage of Water', 'm3', 'RVERSW'], '12': ['Flood Plain Storage of Water', 'm3', 'FLDPSW'], '13': ['Depth of Water on Soil Surface', 'kg m-2', 'DEPWSS'], '14': ['Upstream Accumulated Precipitation', 'kg m-2', 'UPAPCP'], '15': ['Upstream Accumulated Snow Melt', 'kg m-2', 'UPASM'], '16': ['Percolation Rate', 'kg m-2 s-1', 'PERRATE'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Baseflow-Groundwater Runoff', 'kg m-2', 'BGRUN'], '193': ['Storm Surface Runoff', 'kg m-2', 'SSRUN'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_1", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Conditional percent precipitation amount fractile for an overall period (encoded as an accumulation)', 'kg m-2', 'CPPOP'], '1': ['Percent Precipitation in a sub-period of an overall period (encoded as a percent accumulation over the sub-period)', '%', 'PPOSP'], '2': ['Probability of 0.01 inch of precipitation (POP)', '%', 'POP'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Probability of Freezing Precipitation', '%', 'CPOZP'], '193': ['Percent of Frozen Precipitation', '%', 'CPOFP'], '194': ['Probability of precipitation exceeding flash flood guidance values', '%', 'PPFFG'], '195': ['Probability of Wetting Rain, exceeding in 0.10" in a given time period', '%', 'CWR'], '196': ['Binary Probability of precipitation exceeding average recurrence intervals (ARI)', 'see Code table 4.222', 'QPFARI'], '197': ['Binary Probability of precipitation exceeding flash flood guidance values', 'see Code table 4.222', 'QPFFFG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_2", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Water Depth', 'm', 'WDPTHIL'], '1': ['Water Temperature', 'K', 'WTMPIL'], '2': ['Water Fraction', 'Proportion', 'WFRACT'], '3': ['Sediment Thickness', 'm', 'SEDTK'], '4': ['Sediment Temperature', 'K', 'SEDTMP'], '5': ['Ice Thickness', 'm', 'ICTKIL'], '6': ['Ice Temperature', 'K', 'ICETIL'], '7': ['Ice Cover', 'Proportion', 'ICECIL'], '8': ['Land Cover (0=water, 1=land)', 'Proportion', 'LANDIL'], '9': ['Shape Factor with Respect to Salinity Profile', 'unknown', 'SFSAL'], '10': ['Shape Factor with Respect to Temperature Profile in Thermocline', 'unknown', 'SFTMP'], '11': ['Attenuation Coefficient of Water with Respect to Solar Radiation', 'm-1', 'ACWSR'], '12': ['Salinity', 'kg kg-1', 'SALTIL'], '13': ['Cross Sectional Area of Flow in Channel', 'm2', 'CSAFC'], '14': ['Snow temperature', 'K', 'LNDSNOWT'], '15': ['Lake depth', 'm', 'LDEPTH'], '16': ['River depth', 'm', 'RDEPTH'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10", "modulename": "grib2io.tables.section4_discipline10", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_0", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Wave Spectra (1)', '-', 'WVSP1'], '1': ['Wave Spectra (2)', '-', 'WVSP2'], '2': ['Wave Spectra (3)', '-', 'WVSP3'], '3': ['Significant Height of Combined Wind Waves and Swell', 'm', 'HTSGW'], '4': ['Direction of Wind Waves', 'degree true', 'WVDIR'], '5': ['Significant Height of Wind Waves', 'm', 'WVHGT'], '6': ['Mean Period of Wind Waves', 's', 'WVPER'], '7': ['Direction of Swell Waves', 'degree true', 'SWDIR'], '8': ['Significant Height of Swell Waves', 'm', 'SWELL'], '9': ['Mean Period of Swell Waves', 's', 'SWPER'], '10': ['Primary Wave Direction', 'degree true', 'DIRPW'], '11': ['Primary Wave Mean Period', 's', 'PERPW'], '12': ['Secondary Wave Direction', 'degree true', 'DIRSW'], '13': ['Secondary Wave Mean Period', 's', 'PERSW'], '14': ['Direction of Combined Wind Waves and Swell', 'degree true', 'WWSDIR'], '15': ['Mean Period of Combined Wind Waves and Swell', 's', 'MWSPER'], '16': ['Coefficient of Drag With Waves', '-', 'CDWW'], '17': ['Friction Velocity', 'm s-1', 'FRICVW'], '18': ['Wave Stress', 'N m-2', 'WSTR'], '19': ['Normalised Waves Stress', '-', 'NWSTR'], '20': ['Mean Square Slope of Waves', '-', 'MSSW'], '21': ['U-component Surface Stokes Drift', 'm s-1', 'USSD'], '22': ['V-component Surface Stokes Drift', 'm s-1', 'VSSD'], '23': ['Period of Maximum Individual Wave Height', 's', 'PMAXWH'], '24': ['Maximum Individual Wave Height', 'm', 'MAXWH'], '25': ['Inverse Mean Wave Frequency', 's', 'IMWF'], '26': ['Inverse Mean Frequency of The Wind Waves', 's', 'IMFWW'], '27': ['Inverse Mean Frequency of The Total Swell', 's', 'IMFTSW'], '28': ['Mean Zero-Crossing Wave Period', 's', 'MZWPER'], '29': ['Mean Zero-Crossing Period of The Wind Waves', 's', 'MZPWW'], '30': ['Mean Zero-Crossing Period of The Total Swell', 's', 'MZPTSW'], '31': ['Wave Directional Width', '-', 'WDIRW'], '32': ['Directional Width of The Wind Waves', '-', 'DIRWWW'], '33': ['Directional Width of The Total Swell', '-', 'DIRWTS'], '34': ['Peak Wave Period', 's', 'PWPER'], '35': ['Peak Period of The Wind Waves', 's', 'PPERWW'], '36': ['Peak Period of The Total Swell', 's', 'PPERTS'], '37': ['Altimeter Wave Height', 'm', 'ALTWH'], '38': ['Altimeter Corrected Wave Height', 'm', 'ALCWH'], '39': ['Altimeter Range Relative Correction', '-', 'ALRRC'], '40': ['10 Metre Neutral Wind Speed Over Waves', 'm s-1', 'MNWSOW'], '41': ['10 Metre Wind Direction Over Waves', 'degree true', 'MWDIRW'], '42': ['Wave Engery Spectrum', 'm-2 s rad-1', 'WESP'], '43': ['Kurtosis of The Sea Surface Elevation Due to Waves', '-', 'KSSEW'], '44': ['Benjamin-Feir Index', '-', 'BENINX'], '45': ['Spectral Peakedness Factor', 's-1', 'SPFTR'], '46': ['Peak wave direction', '°', 'PWAVEDIR'], '47': ['Significant wave height of first swell partition', 'm', 'SWHFSWEL'], '48': ['Significant wave height of second swell partition', 'm', 'SWHSSWEL'], '49': ['Significant wave height of third swell partition', 'm', 'SWHTSWEL'], '50': ['Mean wave period of first swell partition', 's', 'MWPFSWEL'], '51': ['Mean wave period of second swell partition', 's', 'MWPSSWEL'], '52': ['Mean wave period of third swell partition', 's', 'MWPTSWEL'], '53': ['Mean wave direction of first swell partition', '°', 'MWDFSWEL'], '54': ['Mean wave direction of second swell partition', '°', 'MWDSSWEL'], '55': ['Mean wave direction of third swell partition', '°', 'MWDTSWEL'], '56': ['Wave directional width of first swell partition', '-', 'WDWFSWEL'], '57': ['Wave directional width of second swell partition', '-', 'WDWSSWEL'], '58': ['Wave directional width of third swell partition', '-', 'WDWTSWEL'], '59': ['Wave frequency width of first swell partition', '-', 'WFWFSWEL'], '60': ['Wave frequency width of second swell partition', '-', 'WFWSSWEL'], '61': ['Wave frequency width of third swell partition', '-', 'WFWTSWEL'], '62': ['Wave frequency width', '-', 'WAVEFREW'], '63': ['Frequency width of wind waves', '-', 'FREWWW'], '64': ['Frequency width of total swell', '-', 'FREWTSW'], '65': ['Peak Wave Period of First Swell Partition', 's', 'PWPFSPAR'], '66': ['Peak Wave Period of Second Swell Partition', 's', 'PWPSSPAR'], '67': ['Peak Wave Period of Third Swell Partition', 's', 'PWPTSPAR'], '68': ['Peak Wave Direction of First Swell Partition', 'degree true', 'PWDFSPAR'], '69': ['Peak Wave Direction of Second Swell Partition', 'degree true', 'PWDSSPAR'], '70': ['Peak Wave Direction of Third Swell Partition', 'degree true', 'PWDTSPAR'], '71': ['Peak Direction of Wind Waves', 'degree true', 'PDWWAVE'], '72': ['Peak Direction of Total Swell', 'degree true', 'PDTSWELL'], '73': ['Whitecap Fraction', 'fraction', 'WCAPFRAC'], '74': ['Mean Direction of Total Swell', 'degree', 'MDTSWEL'], '75': ['Mean Direction of Wind Waves', 'degree', 'MDWWAVE'], '76': ['Charnock', 'Numeric', 'CHNCK'], '77': ['Wave Spectral Skewness', 'Numeric', 'WAVESPSK'], '78': ['Wave Energy Flux Magnitude', 'W m-1', 'WAVEFMAG'], '79': ['Wave Energy Flux Mean Direction', 'degree true', 'WAVEFDIR'], '80': ['Raio of Wave Angular and Frequency width', 'Numeric', 'RWAVEAFW'], '81': ['Free Convective Velocity over the Oceans', 'm s-1', 'FCVOCEAN'], '82': ['Air Density over the Oceans', 'kg m-3', 'AIRDENOC'], '83': ['Normalized Energy Flux into Waves', 'Numeric', 'NEFW'], '84': ['Normalized Stress into Ocean', 'Numeric', 'NSOCEAN'], '85': ['Normalized Energy Flux into Ocean', 'Numeric', 'NEFOCEAN'], '86': ['Surface Elevation Variance due to Waves (over all frequencies and directions)', 'm2 s rad-1', 'SEVWAVE'], '87': ['Wave Induced Mean Se Level Correction', 'm', 'WAVEMSLC'], '88': ['Spectral Width Index', 'Numeric', 'SPECWI'], '89': ['Number of Events in Freak Wave Statistics', 'Numeric', 'EFWS'], '90': ['U-Component of Surface Momentum Flux into Ocean', 'N m-2', 'USMFO'], '91': ['U-Component of Surface Momentum Flux into Ocean', 'N m-2', 'VSMFO'], '92': ['Wave Turbulent Energy Flux into Ocean', 'W m-2', 'WAVETEFO'], '93': ['Envelop maximum individual wave height', 'm', 'EMIWAVE'], '94': ['Time domain maximum individual crest height', 'm', 'TDMCREST'], '95': ['Time domain maximum individual wave height', 'm', 'TDMWAVE'], '96': ['Space time maximum individual crest height', 'm', 'STMCREST'], '97': ['Space time maximum individual wave height', 'm', 'STMWAVE'], '98-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Wave Steepness', 'proportion', 'WSTP'], '193': ['Wave Length', 'unknown', 'WLENG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_1", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Current Direction', 'degree True', 'DIRC'], '1': ['Current Speed', 'm s-1', 'SPC'], '2': ['U-Component of Current', 'm s-1', 'UOGRD'], '3': ['V-Component of Current', 'm s-1', 'VOGRD'], '4': ['Rip Current Occurrence Probability', '%', 'RIPCOP'], '5': ['Eastward Current', 'm s-1', 'EASTCUR'], '6': ['Northward Current', 'm s-1', 'NRTHCUR'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Ocean Mixed Layer U Velocity', 'm s-1', 'OMLU'], '193': ['Ocean Mixed Layer V Velocity', 'm s-1', 'OMLV'], '194': ['Barotropic U velocity', 'm s-1', 'UBARO'], '195': ['Barotropic V velocity', 'm s-1', 'VBARO'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_2", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Ice Cover', 'Proportion', 'ICEC'], '1': ['Ice Thickness', 'm', 'ICETK'], '2': ['Direction of Ice Drift', 'degree True', 'DICED'], '3': ['Speed of Ice Drift', 'm s-1', 'SICED'], '4': ['U-Component of Ice Drift', 'm s-1', 'UICE'], '5': ['V-Component of Ice Drift', 'm s-1', 'VICE'], '6': ['Ice Growth Rate', 'm s-1', 'ICEG'], '7': ['Ice Divergence', 's-1', 'ICED'], '8': ['Ice Temperature', 'K', 'ICETMP'], '9': ['Module of Ice Internal Pressure', 'Pa m', 'ICEPRS'], '10': ['Zonal Vector Component of Vertically Integrated Ice Internal Pressure', 'Pa m', 'ZVCICEP'], '11': ['Meridional Vector Component of Vertically Integrated Ice Internal Pressure', 'Pa m', 'MVCICEP'], '12': ['Compressive Ice Strength', 'N m-1', 'CICES'], '13': ['Snow Temperature (over sea ice)', 'K', 'SNOWTSI'], '14': ['Albedo', 'Numeric', 'ALBDOICE'], '15': ['Sea Ice Volume per Unit Area', 'm3m-2', 'SICEVOL'], '16': ['Snow Volume Over Sea Ice per Unit Area', 'm3m-2', 'SNVOLSI'], '17': ['Sea Ice Heat Content', 'J m-2', 'SICEHC'], '18': ['Snow over Sea Ice Heat Content', 'J m-2', 'SNCEHC'], '19': ['Ice Freeboard Thickness', 'm', 'ICEFTHCK'], '20': ['Ice Melt Pond Fraction', 'fraction', 'ICEMPF'], '21': ['Ice Melt Pond Depth', 'm', 'ICEMPD'], '22': ['Ice Melt Pond Volume per Unit Area', 'm3m-2', 'ICEMPV'], '23': ['Sea Ice Fraction Tendency due to Parameterization', 's-1', 'SIFTP'], '24': ['x-component of ice drift', 'm s-1', 'XICE'], '25': ['y-component of ice drift', 'm s-1', 'YICE'], '26': ['Reserved', 'unknown', 'unknown'], '27': ['Freezing/melting potential (Tentatively accepted)', 'W m-2', 'FRZMLTPOT'], '28': ['Melt onset date (Tentatively accepted)', 'Numeric', 'MLTDATE'], '29': ['Freeze onset date (Tentatively accepted)', 'Numeric', 'FRZDATE'], '30-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_3", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Water Temperature', 'K', 'WTMP'], '1': ['Deviation of Sea Level from Mean', 'm', 'DSLM'], '2': ['Heat Exchange Coefficient', 'unknown', 'CH'], '3': ['Practical Salinity', 'Numeric', 'PRACTSAL'], '4': ['Downward Heat Flux', 'W m-2', 'DWHFLUX'], '5': ['Eastward Surface Stress', 'N m-2', 'EASTWSS'], '6': ['Northward surface stress', 'N m-2', 'NORTHWSS'], '7': ['x-component Surface Stress', 'N m-2', 'XCOMPSS'], '8': ['y-component Surface Stress', 'N m-2', 'YCOMPSS'], '9': ['Thermosteric Change in Sea Surface Height', 'm', 'THERCSSH'], '10': ['Halosteric Change in Sea Surface Height', 'm', 'HALOCSSH'], '11': ['Steric Change in Sea Surface Height', 'm', 'STERCSSH'], '12': ['Sea Salt Flux', 'kg m-2s-1', 'SEASFLUX'], '13': ['Net upward water flux', 'kg m-2s-1', 'NETUPWFLUX'], '14': ['Eastward surface water velocity', 'm s-1', 'ESURFWVEL'], '15': ['Northward surface water velocity', 'm s-1', 'NSURFWVEL'], '16': ['x-component of surface water velocity', 'm s-1', 'XSURFWVEL'], '17': ['y-component of surface water velocity', 'm s-1', 'YSURFWVEL'], '18': ['Heat flux correction', 'W m-2', 'HFLUXCOR'], '19': ['Sea surface height tendency due to parameterization', 'm s-1', 'SSHGTPARM'], '20': ['Deviation of sea level from mean with inverse barometer correction', 'm', 'DSLIBARCOR'], '21': ['Salinity', 'kg kg-1', 'SALIN'], '22-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Hurricane Storm Surge', 'm', 'SURGE'], '193': ['Extra Tropical Storm Surge', 'm', 'ETSRG'], '194': ['Ocean Surface Elevation Relative to Geoid', 'm', 'ELEV'], '195': ['Sea Surface Height Relative to Geoid', 'm', 'SSHG'], '196': ['Ocean Mixed Layer Potential Density (Reference 2000m)', 'kg m-3', 'P2OMLT'], '197': ['Net Air-Ocean Heat Flux', 'W m-2', 'AOHFLX'], '198': ['Assimilative Heat Flux', 'W m-2', 'ASHFL'], '199': ['Surface Temperature Trend', 'degree per day', 'SSTT'], '200': ['Surface Salinity Trend', 'psu per day', 'SSST'], '201': ['Kinetic Energy', 'J kg-1', 'KENG'], '202': ['Salt Flux', 'kg m-2s-1', 'SLTFL'], '203': ['Heat Exchange Coefficient', 'unknown', 'LCH'], '204': ['Freezing Spray', 'unknown', 'FRZSPR'], '205': ['Total Water Level Accounting for Tide, Wind and Waves', 'm', 'TWLWAV'], '206': ['Total Water Level Increase due to Waves', 'm', 'RUNUP'], '207': ['Mean Increase in Water Level due to Waves', 'm', 'SETUP'], '208': ['Time-varying Increase in Water Level due to Waves', 'm', 'SWASH'], '209': ['Total Water Level Above Dune Toe', 'm', 'TWLDT'], '210': ['Total Water Level Above Dune Crest', 'm', 'TWLDC'], '211-241': ['Reserved', 'unknown', 'unknown'], '242': ['20% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG20'], '243': ['30% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG30'], '244': ['40% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG40'], '245': ['50% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG50'], '246': ['60% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG60'], '247': ['70% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG70'], '248': ['80% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG80'], '249': ['90% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG90'], '250': ['Extra Tropical Storm Surge Combined Surge and Tide', 'm', 'ETCWL'], '251': ['Tide', 'm', 'TIDE'], '252': ['Erosion Occurrence Probability', '%', 'EROSNP'], '253': ['Overwash Occurrence Probability', '%', 'OWASHP'], '254': ['Reserved', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_4", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Main Thermocline Depth', 'm', 'MTHD'], '1': ['Main Thermocline Anomaly', 'm', 'MTHA'], '2': ['Transient Thermocline Depth', 'm', 'TTHDP'], '3': ['Salinity', 'kg kg-1', 'SALTY'], '4': ['Ocean Vertical Heat Diffusivity', 'm2 s-1', 'OVHD'], '5': ['Ocean Vertical Salt Diffusivity', 'm2 s-1', 'OVSD'], '6': ['Ocean Vertical Momentum Diffusivity', 'm2 s-1', 'OVMD'], '7': ['Bathymetry', 'm', 'BATHY'], '8-10': ['Reserved', 'unknown', 'unknown'], '11': ['Shape Factor With Respect To Salinity Profile', 'unknown', 'SFSALP'], '12': ['Shape Factor With Respect To Temperature Profile In Thermocline', 'unknown', 'SFTMPP'], '13': ['Attenuation Coefficient Of Water With Respect to Solar Radiation', 'm-1', 'ACWSRD'], '14': ['Water Depth', 'm', 'WDEPTH'], '15': ['Water Temperature', 'K', 'WTMPSS'], '16': ['Water Density (rho)', 'kg m-3', 'WATERDEN'], '17': ['Water Density Anomaly (sigma)', 'kg m-3', 'WATDENA'], '18': ['Water potential temperature (theta)', 'K', 'WATPTEMP'], '19': ['Water potential density (rho theta)', 'kg m-3', 'WATPDEN'], '20': ['Water potential density anomaly (sigma theta)', 'kg m-3', 'WATPDENA'], '21': ['Practical Salinity', 'psu (numeric)', 'PRTSAL'], '22': ['Water Column-integrated Heat Content', 'J m-2', 'WCHEATC'], '23': ['Eastward Water Velocity', 'm s-1', 'EASTWVEL'], '24': ['Northward Water Velocity', 'm s-1', 'NRTHWVEL'], '25': ['X-Component Water Velocity', 'm s-1', 'XCOMPWV'], '26': ['Y-Component Water Velocity', 'm s-1', 'YCOMPWV'], '27': ['Upward Water Velocity', 'm s-1', 'UPWWVEL'], '28': ['Vertical Eddy Diffusivity', 'm2 s-1', 'VEDDYDIF'], '29': ['Bottom Pressure Equivalent Height', 'm', 'BPEH'], '30': ['Fresh Water Flux into Sea Water from Rivers', 'kg m-2s-1', 'FWFSW'], '31': ['Fresh Water Flux Correction', 'kg m-2s-1', 'FWFC'], '32': ['Virtual Salt Flux into Sea Water', 'g kg-1 m-2s-1', 'VSFSW'], '33': ['Virtual Salt Flux Correction', 'g kg -1 m-2s-1', 'VSFC'], '34': ['Sea Water Temperature Tendency due to Newtonian Relaxation', 'K s-1', 'SWTTNR'], '35': ['Sea Water Salinity Tendency due to Newtonian Relaxation', 'g kg -1s-1', 'SWSTNR'], '36': ['Sea Water Temperature Tendency due to Parameterization', 'K s-1', 'SWTTP'], '37': ['Sea Water Salinity Tendency due to Parameterization', 'g kg -1s-1', 'SWSTP'], '38': ['Eastward Sea Water Velocity Tendency Due To Parameterization', 'm s-2', 'ESWVP'], '39': ['Northward Sea Water Velocity Tendency Due To Parameterization', 'm s-2', 'NSWVP'], '40': ['Sea Water Temperature Tendency Due to Direct Bias Correction', 'K s-1', 'SWTTBC'], '41': ['Sea Water Salinity Tendency due to Direct Bias Correction', 'g kg -1s-1', 'SWSTBC'], '42': ['Sea water meridional volume transport', 'm 3 m -2 s -1', 'SEAMVT'], '43': ['Sea water zonal volume transport', 'm 3 m -2 s -1', 'SEAZVT'], '44': ['Sea water column integrated meridional volume transport', 'm 3 m -2 s -1', 'SEACMVT'], '45': ['Sea water column integrated zonal volume transport', 'm 3 m -2 s -1', 'SEACZVT'], '46': ['Sea water meridional mass transport', 'kg m -2 s -1', 'SEAMMT'], '47': ['Sea water zonal mass transport', 'kg m -2 s -1', 'SEAZMT'], '48': ['Sea water column integrated meridional mass transport', 'kg m -2 s -1', 'SEACMMT'], '49': ['Sea water column integrated zonal mass transport', 'kg m -2 s -1', 'SEACZMT'], '50': ['Sea water column integrated practical salinity', 'g kg-1 m', 'SEACPSALT'], '51': ['Sea water column integrated salinity', 'kg kg-1 m', 'SEACSALT'], '52-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['3-D Temperature', '\u00b0 c', 'WTMPC'], '193': ['3-D Salinity', 'psu', 'SALIN'], '194': ['Barotropic Kinectic Energy', 'J kg-1', 'BKENG'], '195': ['Geometric Depth Below Sea Surface', 'm', 'DBSS'], '196': ['Interface Depths', 'm', 'INTFD'], '197': ['Ocean Heat Content', 'J m-2', 'OHC'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_191", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_191", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Seconds Prior To Initial Reference Time (Defined In Section 1)', 's', 'IRTSEC'], '1': ['Meridional Overturning Stream Function', 'm3 s-1', 'MOSF'], '2': ['Reserved', 'unknown', 'unknown'], '3': ['Days Since Last Observation', 'd', 'DSLOBSO'], '4': ['Barotropic Stream Function', 'm3 s-1', 'BARDSF'], '5-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2", "modulename": "grib2io.tables.section4_discipline2", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_0", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Land Cover (0=sea, 1=land)', 'Proportion', 'LAND'], '1': ['Surface Roughness', 'm', 'SFCR'], '2': ['Soil Temperature (Parameter Deprecated, see Note 3)', 'K', 'TSOIL'], '3': ['Soil Moisture Content (Parameter Deprecated, see Note 1)', 'unknown', 'unknown'], '4': ['Vegetation', '%', 'VEG'], '5': ['Water Runoff', 'kg m-2', 'WATR'], '6': ['Evapotranspiration', 'kg-2 s-1', 'EVAPT'], '7': ['Model Terrain Height', 'm', 'MTERH'], '8': ['Land Use', 'See Table 4.212', 'LANDU'], '9': ['Volumetric Soil Moisture Content', 'Proportion', 'SOILW'], '10': ['Ground Heat Flux', 'W m-2', 'GFLUX'], '11': ['Moisture Availability', '%', 'MSTAV'], '12': ['Exchange Coefficient', 'kg m-2 s-1', 'SFEXC'], '13': ['Plant Canopy Surface Water', 'kg m-2', 'CNWAT'], '14': ['Blackadars Mixing Length Scale', 'm', 'BMIXL'], '15': ['Canopy Conductance', 'm s-1', 'CCOND'], '16': ['Minimal Stomatal Resistance', 's m-1', 'RSMIN'], '17': ['Wilting Point (Parameter Deprecated, see Note 1)', 'Proportion', 'WILT'], '18': ['Solar parameter in canopy conductance', 'Proportion', 'RCS'], '19': ['Temperature parameter in canopy', 'Proportion', 'RCT'], '20': ['Humidity parameter in canopy conductance', 'Proportion', 'RCQ'], '21': ['Soil moisture parameter in canopy conductance', 'Proportion', 'RCSOL'], '22': ['Soil Moisture (Parameter Deprecated, See Note 3)', 'unknown', 'unknown'], '23': ['Column-Integrated Soil Water (Parameter Deprecated, See Note 3)', 'kg m-2', 'CISOILW'], '24': ['Heat Flux', 'W m-2', 'HFLUX'], '25': ['Volumetric Soil Moisture', 'm3 m-3', 'VSOILM'], '26': ['Wilting Point', 'kg m-3', 'WILT'], '27': ['Volumetric Wilting Point', 'm3 m-3', 'VWILTP'], '28': ['Leaf Area Index', 'Numeric', 'LEAINX'], '29': ['Evergreen Forest Cover', 'Proportion', 'EVGFC'], '30': ['Deciduous Forest Cover', 'Proportion', 'DECFC'], '31': ['Normalized Differential Vegetation Index (NDVI)', 'Numeric', 'NDVINX'], '32': ['Root Depth of Vegetation', 'm', 'RDVEG'], '33': ['Water Runoff and Drainage', 'kg m-2', 'WROD'], '34': ['Surface Water Runoff', 'kg m-2', 'SFCWRO'], '35': ['Tile Class', 'See Table 4.243', 'TCLASS'], '36': ['Tile Fraction', 'Proportion', 'TFRCT'], '37': ['Tile Percentage', '%', 'TPERCT'], '38': ['Soil Volumetric Ice Content (Water Equivalent)', 'm3 m-3', 'SOILVIC'], '39': ['Evapotranspiration Rate', 'kg m-2 s-1', 'EVAPTRAT'], '40': ['Potential Evapotranspiration Rate', 'kg m-2 s-1', 'PEVAPTRAT'], '41': ['Snow Melt Rate', 'kg m-2 s-1', 'SMRATE'], '42': ['Water Runoff and Drainage Rate', 'kg m-2 s-1', 'WRDRATE'], '43': ['Drainage direction', 'See Table 4.250', 'DRAINDIR'], '44': ['Upstream Area', 'm2', 'UPSAREA'], '45': ['Wetland Cover', 'Proportion', 'WETCOV'], '46': ['Wetland Type', 'See Table 4.239', 'WETTYPE'], '47': ['Irrigation Cover', 'Proportion', 'IRRCOV'], '48': ['C4 Crop Cover', 'Proportion', 'CROPCOV'], '49': ['C4 Grass Cover', 'Proportion', 'GRASSCOV'], '50': ['Skin Resovoir Content', 'kg m-2', 'SKINRC'], '51': ['Surface Runoff Rate', 'kg m-2 s-1', 'SURFRATE'], '52': ['Subsurface Runoff Rate', 'kg m-2 s-1', 'SUBSRATE'], '53': ['Low-Vegetation Cover', 'Proportion', 'LOVEGCOV'], '54': ['High-Vegetation Cover', 'Proportion', 'HIVEGCOV'], '55': ['Leaf Area Index (Low-Vegetation)', 'm2 m-2', 'LAILO'], '56': ['Leaf Area Index (High-Vegetation)', 'm2 m-2', 'LAIHI'], '57': ['Type of Low-Vegetation', 'See Table 4.234', 'TYPLOVEG'], '58': ['Type of High-Vegetation', 'See Table 4.234', 'TYPHIVEG'], '59': ['Net Ecosystem Exchange Flux', 'kg-2 s-1', 'NECOFLUX'], '60': ['Gross Primary Production Flux', 'kg-2 s-1', 'GROSSFLUX'], '61': ['Ecosystem Respiration Flux', 'kg-2 s-1', 'ECORFLUX'], '62': ['Emissivity', 'Proportion', 'EMISS'], '63': ['Canopy air temperature', 'K', 'CANTMP'], '64-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Volumetric Soil Moisture Content', 'Fraction', 'SOILW'], '193': ['Ground Heat Flux', 'W m-2', 'GFLUX'], '194': ['Moisture Availability', '%', 'MSTAV'], '195': ['Exchange Coefficient', '(kg m-3) (m s-1)', 'SFEXC'], '196': ['Plant Canopy Surface Water', 'kg m-2', 'CNWAT'], '197': ['Blackadar\u2019s Mixing Length Scale', 'm', 'BMIXL'], '198': ['Vegetation Type', 'Integer (0-13)', 'VGTYP'], '199': ['Canopy Conductance', 'm s-1', 'CCOND'], '200': ['Minimal Stomatal Resistance', 's m-1', 'RSMIN'], '201': ['Wilting Point', 'Fraction', 'WILT'], '202': ['Solar parameter in canopy conductance', 'Fraction', 'RCS'], '203': ['Temperature parameter in canopy conductance', 'Fraction', 'RCT'], '204': ['Humidity parameter in canopy conductance', 'Fraction', 'RCQ'], '205': ['Soil moisture parameter in canopy conductance', 'Fraction', 'RCSOL'], '206': ['Rate of water dropping from canopy to ground', 'unknown', 'RDRIP'], '207': ['Ice-free water surface', '%', 'ICWAT'], '208': ['Surface exchange coefficients for T and Q divided by delta z', 'm s-1', 'AKHS'], '209': ['Surface exchange coefficients for U and V divided by delta z', 'm s-1', 'AKMS'], '210': ['Vegetation canopy temperature', 'K', 'VEGT'], '211': ['Surface water storage', 'kg m-2', 'SSTOR'], '212': ['Liquid soil moisture content (non-frozen)', 'kg m-2', 'LSOIL'], '213': ['Open water evaporation (standing water)', 'W m-2', 'EWATR'], '214': ['Groundwater recharge', 'kg m-2', 'GWREC'], '215': ['Flood plain recharge', 'kg m-2', 'QREC'], '216': ['Roughness length for heat', 'm', 'SFCRH'], '217': ['Normalized Difference Vegetation Index', 'unknown', 'NDVI'], '218': ['Land-sea coverage (nearest neighbor) [land=1,sea=0]', 'unknown', 'LANDN'], '219': ['Asymptotic mixing length scale', 'm', 'AMIXL'], '220': ['Water vapor added by precip assimilation', 'kg m-2', 'WVINC'], '221': ['Water condensate added by precip assimilation', 'kg m-2', 'WCINC'], '222': ['Water Vapor Flux Convergance (Vertical Int)', 'kg m-2', 'WVCONV'], '223': ['Water Condensate Flux Convergance (Vertical Int)', 'kg m-2', 'WCCONV'], '224': ['Water Vapor Zonal Flux (Vertical Int)', 'kg m-2', 'WVUFLX'], '225': ['Water Vapor Meridional Flux (Vertical Int)', 'kg m-2', 'WVVFLX'], '226': ['Water Condensate Zonal Flux (Vertical Int)', 'kg m-2', 'WCUFLX'], '227': ['Water Condensate Meridional Flux (Vertical Int)', 'kg m-2', 'WCVFLX'], '228': ['Aerodynamic conductance', 'm s-1', 'ACOND'], '229': ['Canopy water evaporation', 'W m-2', 'EVCW'], '230': ['Transpiration', 'W m-2', 'TRANS'], '231': ['Seasonally Minimum Green Vegetation Fraction (over 1-year period)', '%', 'VEGMIN'], '232': ['Seasonally Maximum Green Vegetation Fraction (over 1-year period)', '%', 'VEGMAX'], '233': ['Land Fraction', 'Fraction', 'LANDFRC'], '234': ['Lake Fraction', 'Fraction', 'LAKEFRC'], '235': ['Precipitation Advected Heat Flux', 'W m-2', 'PAHFLX'], '236': ['Water Storage in Aquifer', 'kg m-2', 'WATERSA'], '237': ['Evaporation of Intercepted Water', 'kg m-2', 'EIWATER'], '238': ['Plant Transpiration', 'kg m-2', 'PLANTTR'], '239': ['Soil Surface Evaporation', 'kg m-2', 'SOILSE'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_1", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_1", "kind": "variable", "doc": "\n", "default_value": "{'0-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Cold Advisory for Newborn Livestock', 'unknown', 'CANL'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_3", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Soil Type', 'See Table 4.213', 'SOTYP'], '1': ['Upper Layer Soil Temperature', 'K', 'UPLST'], '2': ['Upper Layer Soil Moisture', 'kg m-3', 'UPLSM'], '3': ['Lower Layer Soil Moisture', 'kg m-3', 'LOWLSM'], '4': ['Bottom Layer Soil Temperature', 'K', 'BOTLST'], '5': ['Liquid Volumetric Soil Moisture(non-frozen)', 'Proportion', 'SOILL'], '6': ['Number of Soil Layers in Root Zone', 'Numeric', 'RLYRS'], '7': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '8': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '9': ['Soil Porosity', 'Proportion', 'POROS'], '10': ['Liquid Volumetric Soil Moisture (Non-Frozen)', 'm3 m-3', 'LIQVSM'], '11': ['Volumetric Transpiration Stree-Onset(Soil Moisture)', 'm3 m-3', 'VOLTSO'], '12': ['Transpiration Stree-Onset(Soil Moisture)', 'kg m-3', 'TRANSO'], '13': ['Volumetric Direct Evaporation Cease(Soil Moisture)', 'm3 m-3', 'VOLDEC'], '14': ['Direct Evaporation Cease(Soil Moisture)', 'kg m-3', 'DIREC'], '15': ['Soil Porosity', 'm3 m-3', 'SOILP'], '16': ['Volumetric Saturation Of Soil Moisture', 'm3 m-3', 'VSOSM'], '17': ['Saturation Of Soil Moisture', 'kg m-3', 'SATOSM'], '18': ['Soil Temperature', 'K', 'SOILTMP'], '19': ['Soil Moisture', 'kg m-3', 'SOILMOI'], '20': ['Column-Integrated Soil Moisture', 'kg m-2', 'CISOILM'], '21': ['Soil Ice', 'kg m-3', 'SOILICE'], '22': ['Column-Integrated Soil Ice', 'kg m-2', 'CISICE'], '23': ['Liquid Water in Snow Pack', 'kg m-2', 'LWSNWP'], '24': ['Frost Index', 'kg day-1', 'FRSTINX'], '25': ['Snow Depth at Elevation Bands', 'kg m-2', 'SNWDEB'], '26': ['Soil Heat Flux', 'W m-2', 'SHFLX'], '27': ['Soil Depth', 'm', 'SOILDEP'], '28': ['Snow Temperature', 'K', 'SNOWTMP'], '29': ['Ice Temperature', 'K', 'ICETEMP'], '30': ['Soil wetness index', 'Numeric', 'SWET'], '31-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Liquid Volumetric Soil Moisture (non Frozen)', 'Proportion', 'SOILL'], '193': ['Number of Soil Layers in Root Zone', 'non-dim', 'RLYRS'], '194': ['Surface Slope Type', 'Index', 'SLTYP'], '195': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '196': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '197': ['Soil Porosity', 'Proportion', 'POROS'], '198': ['Direct Evaporation from Bare Soil', 'W m-2', 'EVBS'], '199': ['Land Surface Precipitation Accumulation', 'kg m-2', 'LSPA'], '200': ['Bare Soil Surface Skin temperature', 'K', 'BARET'], '201': ['Average Surface Skin Temperature', 'K', 'AVSFT'], '202': ['Effective Radiative Skin Temperature', 'K', 'RADT'], '203': ['Field Capacity', 'Fraction', 'FLDCP'], '204': ['Soil Moisture Availability In The Top Soil Layer', '%', 'MSTAV'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_4", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Fire Outlook', 'See Table 4.224', 'FIREOLK'], '1': ['Fire Outlook Due to Dry Thunderstorm', 'See Table 4.224', 'FIREODT'], '2': ['Haines Index', 'Numeric', 'HINDEX'], '3': ['Fire Burned Area', '%', 'FBAREA'], '4': ['Fosberg Index', 'Numeric', 'FOSINDX'], '5': ['Fire Weath Index (Canadian Forest Service)', 'Numeric', 'FWINX'], '6': ['Fine Fuel Moisture Code (Canadian Forest Service)', 'Numeric', 'FFMCODE'], '7': ['Duff Moisture Code (Canadian Forest Service)', 'Numeric', 'DUFMCODE'], '8': ['Drought Code (Canadian Forest Service)', 'Numeric', 'DRTCODE'], '9': ['Initial Fire Spread Index (Canadian Forest Service)', 'Numeric', 'INFSINX'], '10': ['Fire Build Up Index (Canadian Forest Service)', 'Numeric', 'FBUPINX'], '11': ['Fire Daily Severity Rating (Canadian Forest Service)', 'Numeric', 'FDSRTE'], '12': ['Keetch-Byram Drought Index', 'Numeric', 'KRIDX'], '13': ['Drought Factor (as defined by the Australian forest service)', 'Numeric', 'DRFACT'], '14': ['Rate of Spread (as defined by the Australian forest service)', 'm s-1', 'RATESPRD'], '15': ['Fire Danger index (as defined by the Australian forest service)', 'Numeric', 'FIREDIDX'], '16': ['Spread component (as defined by the US Forest Service National Fire Danger Rating System)', 'Numeric', 'SPRDCOMP'], '17': ['Burning Index (as defined by the Australian forest service)', 'Numeric', 'BURNIDX'], '18': ['Ignition Component (as defined by the Australian forest service)', '%', 'IGNCOMP'], '19': ['Energy Release Component (as defined by the Australian forest service)', 'J m-2', 'ENRELCOM'], '20': ['Burning Area', '%', 'BURNAREA'], '21': ['Burnable Area', '%', 'BURNABAREA'], '22': ['Unburnable Area', '%', 'UNBURNAREA'], '23': ['Fuel Load', 'kg m-2', 'FUELLOAD'], '24': ['Combustion Completeness', '%', 'COMBCO'], '25': ['Fuel Moisture Content', 'kg kg-1', 'FUELMC'], '26': ['Wildfire Potential (as defined by NOAA Global Systems Laboratory)', 'Numeric', 'WFIREPOT'], '27': ['Live leaf fuel load', 'kg m-2', 'LLFL'], '28': ['Live wood fuel load', 'kg m-2', 'LWFL'], '29': ['Dead leaf fuel load', 'kg m-2', 'DLFL'], '30': ['Dead wood fuel load', 'kg m-2', 'DWFL'], '31': ['Live fuel moisture content', 'kg kg-1', 'LFMC'], '32': ['Fine dead leaf moisture content', 'kg kg-1', 'FDLMC'], '33': ['Dense dead leaf moisture content', 'kg kg-1', 'DDLMC'], '34': ['Fine dead wood moisture content', 'kg kg-1', 'FDWMC'], '35': ['Dense dead wood moisture content', 'kg kg-1', 'DDWMC'], '36': ['Fire radiative power\\t(Tentatively accpeted)', 'W', 'FRADPOW'], '37-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_5", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Glacier Cover', 'Proportion', 'GLACCOV'], '1': ['Glacier Temperature', 'K', 'GLACTMP'], '2-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20", "modulename": "grib2io.tables.section4_discipline20", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_0", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Universal Thermal Climate Index', 'K', 'UTHCIDX'], '1': ['Mean Radiant Temperature', 'K', 'MEANRTMP'], '2': ['Wet-bulb Globe Temperature (see Note)', 'K', 'WETBGTMP'], '3': ['Globe Temperature (see Note)', 'K', 'GLOBETMP'], '4': ['Humidex', 'K', 'HUMIDX'], '5': ['Effective Temperature', 'K', 'EFFTEMP'], '6': ['Normal Effective Temperature', 'K', 'NOREFTMP'], '7': ['Standard Effective Temperature', 'K', 'STDEFTMP'], '8': ['Physiological Equivalent Temperature', 'K', 'PEQUTMP'], '9-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_1", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Malaria Cases', 'Fraction', 'MALACASE'], '1': ['Malaria Circumsporozoite Protein Rate', 'Fraction', 'MACPRATE'], '2': ['Plasmodium Falciparum Entomological Inoculation Rate', 'Bites per day per person', 'PFEIRATE'], '3': ['Human Bite Rate by Anopheles Vectors', 'Bites per day per person', 'HBRATEAV'], '4': ['Malaria Immunity', 'Fraction', 'MALAIMM'], '5': ['Falciparum Parasite Rates', 'Fraction', 'FALPRATE'], '6': ['Detectable Falciparum Parasite Ratio (after day 10)', 'Fraction', 'DFPRATIO'], '7': ['Anopheles Vector to Host Ratio', 'Fraction', 'AVHRATIO'], '8': ['Anopheles Vector Number', 'Number m-2', 'AVECTNUM'], '9': ['Fraction of Malarial Vector Reproductive Habitat', 'Fraction', 'FMALVRH'], '10-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_2", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Population Density', 'Person m-2', 'POPDEN'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3", "modulename": "grib2io.tables.section4_discipline3", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_0", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Scaled Radiance', 'Numeric', 'SRAD'], '1': ['Scaled Albedo', 'Numeric', 'SALBEDO'], '2': ['Scaled Brightness Temperature', 'Numeric', 'SBTMP'], '3': ['Scaled Precipitable Water', 'Numeric', 'SPWAT'], '4': ['Scaled Lifted Index', 'Numeric', 'SLFTI'], '5': ['Scaled Cloud Top Pressure', 'Numeric', 'SCTPRES'], '6': ['Scaled Skin Temperature', 'Numeric', 'SSTMP'], '7': ['Cloud Mask', 'See Table 4.217', 'CLOUDM'], '8': ['Pixel scene type', 'See Table 4.218', 'PIXST'], '9': ['Fire Detection Indicator', 'See Table 4.223', 'FIREDI'], '10-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_1", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Estimated Precipitation', 'kg m-2', 'ESTP'], '1': ['Instantaneous Rain Rate', 'kg m-2 s-1', 'IRRATE'], '2': ['Cloud Top Height', 'm', 'CTOPH'], '3': ['Cloud Top Height Quality Indicator', 'Code table 4.219', 'CTOPHQI'], '4': ['Estimated u-Component of Wind', 'm s-1', 'ESTUGRD'], '5': ['Estimated v-Component of Wind', 'm s-1', 'ESTVGRD'], '6': ['Number Of Pixels Used', 'Numeric', 'NPIXU'], '7': ['Solar Zenith Angle', '\u00b0', 'SOLZA'], '8': ['Relative Azimuth Angle', '\u00b0', 'RAZA'], '9': ['Reflectance in 0.6 Micron Channel', '%', 'RFL06'], '10': ['Reflectance in 0.8 Micron Channel', '%', 'RFL08'], '11': ['Reflectance in 1.6 Micron Channel', '%', 'RFL16'], '12': ['Reflectance in 3.9 Micron Channel', '%', 'RFL39'], '13': ['Atmospheric Divergence', 's-1', 'ATMDIV'], '14': ['Cloudy Brightness Temperature', 'K', 'CBTMP'], '15': ['Clear Sky Brightness Temperature', 'K', 'CSBTMP'], '16': ['Cloudy Radiance (with respect to wave number)', 'W m-1 sr-1', 'CLDRAD'], '17': ['Clear Sky Radiance (with respect to wave number)', 'W m-1 sr-1', 'CSKYRAD'], '18': ['Reserved', 'unknown', 'unknown'], '19': ['Wind Speed', 'm s-1', 'WINDS'], '20': ['Aerosol Optical Thickness at 0.635 \u00b5m', 'unknown', 'AOT06'], '21': ['Aerosol Optical Thickness at 0.810 \u00b5m', 'unknown', 'AOT08'], '22': ['Aerosol Optical Thickness at 1.640 \u00b5m', 'unknown', 'AOT16'], '23': ['Angstrom Coefficient', 'unknown', 'ANGCOE'], '24-26': ['Reserved', 'unknown', 'unknown'], '27': ['Bidirectional Reflecance Factor', 'Numeric', 'BRFLF'], '28': ['Brightness Temperature', 'K', 'SPBRT'], '29': ['Scaled Radiance', 'Numeric', 'SCRAD'], '30': ['Reflectance in 0.4 Micron Channel', '%', 'RFL04'], '31': ['Cloudy reflectance', '%', 'CLDREF'], '32': ['Clear reflectance', '%', 'CLRREF'], '33-97': ['Reserved', 'unknown', 'unknown'], '98': ['Correlation coefficient between MPE rain rates for the co-located IR data and the microwave data rain rates', 'Numeric', 'CCMPEMRR'], '99': ['Standard deviation between MPE rain rates for the co-located IR data and the microwave data rain rates', 'Numeric', 'SDMPEMRR'], '100-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Scatterometer Estimated U Wind Component', 'm s-1', 'USCT'], '193': ['Scatterometer Estimated V Wind Component', 'm s-1', 'VSCT'], '194': ['Scatterometer Wind Quality', 'unknown', 'SWQI'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_2", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Clear Sky Probability', '%', 'CSKPROB'], '1': ['Cloud Top Temperature', 'K', 'CTOPTMP'], '2': ['Cloud Top Pressure', 'Pa', 'CTOPRES'], '3': ['Cloud Type', 'See Table 4.218', 'CLDTYPE'], '4': ['Cloud Phase', 'See Table 4.218', 'CLDPHAS'], '5': ['Cloud Optical Depth', 'Numeric', 'CLDODEP'], '6': ['Cloud Particle Effective Radius', 'm', 'CLDPER'], '7': ['Cloud Liquid Water Path', 'kg m-2', 'CLDLWP'], '8': ['Cloud Ice Water Path', 'kg m-2', 'CLDIWP'], '9': ['Cloud Albedo', 'Numeric', 'CLDALB'], '10': ['Cloud Emissivity', 'Numeric', 'CLDEMISS'], '11': ['Effective Absorption Optical Depth Ratio', 'Numeric', 'EAODR'], '12-29': ['Reserved', 'unknown', 'unknown'], '30': ['Measurement cost', 'Numeric', 'MEACST'], '41-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_3", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Probability of Encountering Marginal Visual Flight Rules Conditions', '%', 'PBMVFRC'], '1': ['Probability of Encountering Low Instrument Flight Rules Conditions', '%', 'PBLIFRC'], '2': ['Probability of Encountering Instrument Flight Rules Conditions', '%', 'PBINFRC'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_4", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Volcanic Ash Probability', '%', 'VOLAPROB'], '1': ['Volcanic Ash Cloud Top Temperature', 'K', 'VOLACDTT'], '2': ['Volcanic Ash Cloud Top Pressure', 'Pa', 'VOLACDTP'], '3': ['Volcanic Ash Cloud Top Height', 'm', 'VOLACDTH'], '4': ['Volcanic Ash Cloud Emissity', 'Numeric', 'VOLACDEM'], '5': ['Volcanic Ash Effective Absorption Depth Ratio', 'Numeric', 'VOLAEADR'], '6': ['Volcanic Ash Cloud Optical Depth', 'Numeric', 'VOLACDOD'], '7': ['Volcanic Ash Column Density', 'kg m-2', 'VOLACDEN'], '8': ['Volcanic Ash Particle Effective Radius', 'm', 'VOLAPER'], '9-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_5", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Interface Sea-Surface Temperature', 'K', 'ISSTMP'], '1': ['Skin Sea-Surface Temperature', 'K', 'SKSSTMP'], '2': ['Sub-Skin Sea-Surface Temperature', 'K', 'SSKSSTMP'], '3': ['Foundation Sea-Surface Temperature', 'K', 'FDNSSTMP'], '4': ['Estimated bias between Sea-Surface Temperature and Standard', 'K', 'EBSSTSTD'], '5': ['Estimated bias Standard Deviation between Sea-Surface Temperature and Standard', 'K', 'EBSDSSTS'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_6", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Global Solar Irradiance', 'W m-2', 'GSOLIRR'], '1': ['Global Solar Exposure', 'J m-2', 'GSOLEXP'], '2': ['Direct Solar Irradiance', 'W m-2', 'DIRSOLIR'], '3': ['Direct Solar Exposure', 'J m-2', 'DIRSOLEX'], '4': ['Diffuse Solar Irradiance', 'W m-2', 'DIFSOLIR'], '5': ['Diffuse Solar Exposure', 'J m-2', 'DIFSOLEX'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_192", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_192", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Simulated Brightness Temperature for GOES 12, Channel 2', 'K', 'SBT122'], '1': ['Simulated Brightness Temperature for GOES 12, Channel 3', 'K', 'SBT123'], '2': ['Simulated Brightness Temperature for GOES 12, Channel 4', 'K', 'SBT124'], '3': ['Simulated Brightness Temperature for GOES 12, Channel 6', 'K', 'SBT126'], '4': ['Simulated Brightness Counts for GOES 12, Channel 3', 'Byte', 'SBC123'], '5': ['Simulated Brightness Counts for GOES 12, Channel 4', 'Byte', 'SBC124'], '6': ['Simulated Brightness Temperature for GOES 11, Channel 2', 'K', 'SBT112'], '7': ['Simulated Brightness Temperature for GOES 11, Channel 3', 'K', 'SBT113'], '8': ['Simulated Brightness Temperature for GOES 11, Channel 4', 'K', 'SBT114'], '9': ['Simulated Brightness Temperature for GOES 11, Channel 5', 'K', 'SBT115'], '10': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 9', 'K', 'AMSRE9'], '11': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 10', 'K', 'AMSRE10'], '12': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 11', 'K', 'AMSRE11'], '13': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 12', 'K', 'AMSRE12'], '14': ['Simulated Reflectance Factor for ABI GOES-16, Band-1', 'unknown', 'SRFA161'], '15': ['Simulated Reflectance Factor for ABI GOES-16, Band-2', 'unknown', 'SRFA162'], '16': ['Simulated Reflectance Factor for ABI GOES-16, Band-3', 'unknown', 'SRFA163'], '17': ['Simulated Reflectance Factor for ABI GOES-16, Band-4', 'unknown', 'SRFA164'], '18': ['Simulated Reflectance Factor for ABI GOES-16, Band-5', 'unknown', 'SRFA165'], '19': ['Simulated Reflectance Factor for ABI GOES-16, Band-6', 'unknown', 'SRFA166'], '20': ['Simulated Brightness Temperature for ABI GOES-16, Band-7', 'K', 'SBTA167'], '21': ['Simulated Brightness Temperature for ABI GOES-16, Band-8', 'K', 'SBTA168'], '22': ['Simulated Brightness Temperature for ABI GOES-16, Band-9', 'K', 'SBTA169'], '23': ['Simulated Brightness Temperature for ABI GOES-16, Band-10', 'K', 'SBTA1610'], '24': ['Simulated Brightness Temperature for ABI GOES-16, Band-11', 'K', 'SBTA1611'], '25': ['Simulated Brightness Temperature for ABI GOES-16, Band-12', 'K', 'SBTA1612'], '26': ['Simulated Brightness Temperature for ABI GOES-16, Band-13', 'K', 'SBTA1613'], '27': ['Simulated Brightness Temperature for ABI GOES-16, Band-14', 'K', 'SBTA1614'], '28': ['Simulated Brightness Temperature for ABI GOES-16, Band-15', 'K', 'SBTA1615'], '29': ['Simulated Brightness Temperature for ABI GOES-16, Band-16', 'K', 'SBTA1616'], '30': ['Simulated Reflectance Factor for ABI GOES-17, Band-1', 'unknown', 'SRFA171'], '31': ['Simulated Reflectance Factor for ABI GOES-17, Band-2', 'unknown', 'SRFA172'], '32': ['Simulated Reflectance Factor for ABI GOES-17, Band-3', 'unknown', 'SRFA173'], '33': ['Simulated Reflectance Factor for ABI GOES-17, Band-4', 'unknown', 'SRFA174'], '34': ['Simulated Reflectance Factor for ABI GOES-17, Band-5', 'unknown', 'SRFA175'], '35': ['Simulated Reflectance Factor for ABI GOES-17, Band-6', 'unknown', 'SRFA176'], '36': ['Simulated Brightness Temperature for ABI GOES-17, Band-7', 'K', 'SBTA177'], '37': ['Simulated Brightness Temperature for ABI GOES-17, Band-8', 'K', 'SBTA178'], '38': ['Simulated Brightness Temperature for ABI GOES-17, Band-9', 'K', 'SBTA179'], '39': ['Simulated Brightness Temperature for ABI GOES-17, Band-10', 'K', 'SBTA1710'], '40': ['Simulated Brightness Temperature for ABI GOES-17, Band-11', 'K', 'SBTA1711'], '41': ['Simulated Brightness Temperature for ABI GOES-17, Band-12', 'K', 'SBTA1712'], '42': ['Simulated Brightness Temperature for ABI GOES-17, Band-13', 'K', 'SBTA1713'], '43': ['Simulated Brightness Temperature for ABI GOES-17, Band-14', 'K', 'SBTA1714'], '44': ['Simulated Brightness Temperature for ABI GOES-17, Band-15', 'K', 'SBTA1715'], '45': ['Simulated Brightness Temperature for ABI GOES-17, Band-16', 'K', 'SBTA1716'], '46': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-1', 'unknown', 'SRFAGR1'], '47': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-2', 'unknown', 'SRFAGR2'], '48': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-3', 'unknown', 'SRFAGR3'], '49': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-4', 'unknown', 'SRFAGR4'], '50': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-5', 'unknown', 'SRFAGR5'], '51': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-6', 'unknown', 'SRFAGR6'], '52': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-7', 'unknown', 'SBTAGR7'], '53': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-8', 'unknown', 'SBTAGR8'], '54': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-9', 'unknown', 'SBTAGR9'], '55': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-10', 'unknown', 'SBTAGR10'], '56': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-11', 'unknown', 'SBTAGR11'], '57': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-12', 'unknown', 'SBTAGR12'], '58': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-13', 'unknown', 'SBTAGR13'], '59': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-14', 'unknown', 'SBTAGR14'], '60': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-15', 'unknown', 'SBTAGR15'], '61': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-16', 'unknown', 'SBTAGR16'], '62': ['Simulated Brightness Temperature for SSMIS-F17, Channel 15', 'K', 'SSMS1715'], '63': ['Simulated Brightness Temperature for SSMIS-F17, Channel 16', 'K', 'SSMS1716'], '64': ['Simulated Brightness Temperature for SSMIS-F17, Channel 17', 'K', 'SSMS1717'], '65': ['Simulated Brightness Temperature for SSMIS-F17, Channel 18', 'K', 'SSMS1718'], '66': ['Simulated Brightness Temperature for Himawari-8, Band-7', 'K', 'SBTAHI7'], '67': ['Simulated Brightness Temperature for Himawari-8, Band-8', 'K', 'SBTAHI8'], '68': ['Simulated Brightness Temperature for Himawari-8, Band-9', 'K', 'SBTAHI9'], '69': ['Simulated Brightness Temperature for Himawari-8, Band-10', 'K', 'SBTAHI10'], '70': ['Simulated Brightness Temperature for Himawari-8, Band-11', 'K', 'SBTAHI11'], '71': ['Simulated Brightness Temperature for Himawari-8, Band-12', 'K', 'SBTAHI12'], '72': ['Simulated Brightness Temperature for Himawari-8, Band-13', 'K', 'SBTAHI13'], '73': ['Simulated Brightness Temperature for Himawari-8, Band-14', 'K', 'SBTAHI14'], '74': ['Simulated Brightness Temperature for Himawari-8, Band-15', 'K', 'SBTAHI15'], '75': ['Simulated Brightness Temperature for Himawari-8, Band-16', 'K', 'SBTAHI16'], '76': ['Simulated Brightness Temperature for ABI GOES-18, Band-7', 'K', 'SBTA187'], '77': ['Simulated Brightness Temperature for ABI GOES-18, Band-8', 'K', 'SBTA188'], '78': ['Simulated Brightness Temperature for ABI GOES-18, Band-9', 'K', 'SBTA189'], '79': ['Simulated Brightness Temperature for ABI GOES-18, Band-10', 'K', 'SBTA1810'], '80': ['Simulated Brightness Temperature for ABI GOES-18, Band-11', 'K', 'SBTA1811'], '81': ['Simulated Brightness Temperature for ABI GOES-18, Band-12', 'K', 'SBTA1812'], '82': ['Simulated Brightness Temperature for ABI GOES-18, Band-13', 'K', 'SBTA1813'], '83': ['Simulated Brightness Temperature for ABI GOES-18, Band-14', 'K', 'SBTA1814'], '84': ['Simulated Brightness Temperature for ABI GOES-18, Band-15', 'K', 'SBTA1815'], '85': ['Simulated Brightness Temperature for ABI GOES-18, Band-16', 'K', 'SBTA1816'], '86-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4", "modulename": "grib2io.tables.section4_discipline4", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_0", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Temperature', 'K', 'TMPSWP'], '1': ['Electron Temperature', 'K', 'ELECTMP'], '2': ['Proton Temperature', 'K', 'PROTTMP'], '3': ['Ion Temperature', 'K', 'IONTMP'], '4': ['Parallel Temperature', 'K', 'PRATMP'], '5': ['Perpendicular Temperature', 'K', 'PRPTMP'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_1", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Velocity Magnitude (Speed)', 'm s-1', 'SPEED'], '1': ['1st Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL1'], '2': ['2nd Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL2'], '3': ['3rd Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL3'], '4-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_2", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Particle Number Density', 'm-3', 'PLSMDEN'], '1': ['Electron Density', 'm-3', 'ELCDEN'], '2': ['Proton Density', 'm-3', 'PROTDEN'], '3': ['Ion Density', 'm-3', 'IONDEN'], '4': ['Vertical Total Electron Content', 'TECU', 'VTEC'], '5': ['HF Absorption Frequency', 'Hz', 'ABSFRQ'], '6': ['HF Absorption', 'dB', 'ABSRB'], '7': ['Spread F', 'm', 'SPRDF'], '8': ['hF', 'm', 'HPRIMF'], '9': ['Critical Frequency', 'Hz', 'CRTFRQ'], '10': ['Maximal Usable Frequency (MUF)', 'Hz', 'MAXUFZ'], '11': ['Peak Height (hm)', 'm', 'PEAKH'], '12': ['Peak Density', 'm-3', 'PEAKDEN'], '13': ['Equivalent Slab Thickness (tau)', 'km', 'EQSLABT'], '14-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_3", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Magnetic Field Magnitude', 'T', 'BTOT'], '1': ['1st Vector Component of Magnetic Field', 'T', 'BVEC1'], '2': ['2nd Vector Component of Magnetic Field', 'T', 'BVEC2'], '3': ['3rd Vector Component of Magnetic Field', 'T', 'BVEC3'], '4': ['Electric Field Magnitude', 'V m-1', 'ETOT'], '5': ['1st Vector Component of Electric Field', 'V m-1', 'EVEC1'], '6': ['2nd Vector Component of Electric Field', 'V m-1', 'EVEC2'], '7': ['3rd Vector Component of Electric Field', 'V m-1', 'EVEC3'], '8-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_4", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Proton Flux (Differential)', '(m2 s sr eV)-1', 'DIFPFLUX'], '1': ['Proton Flux (Integral)', '(m2 s sr)-1', 'INTPFLUX'], '2': ['Electron Flux (Differential)', '(m2 s sr eV)-1', 'DIFEFLUX'], '3': ['Electron Flux (Integral)', '(m2 s sr)-1', 'INTEFLUX'], '4': ['Heavy Ion Flux (Differential)', '(m2 s sr eV / nuc)-1', 'DIFIFLUX'], '5': ['Heavy Ion Flux (iIntegral)', '(m2 s sr)-1', 'INTIFLUX'], '6': ['Cosmic Ray Neutron Flux', 'h-1', 'NTRNFLUX'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_5", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Amplitude', 'rad', 'AMPL'], '1': ['Phase', 'rad', 'PHASE'], '2': ['Frequency', 'Hz', 'FREQ'], '3': ['Wavelength', 'm', 'WAVELGTH'], '4-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_6", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Integrated Solar Irradiance', 'W m-2', 'TSI'], '1': ['Solar X-ray Flux (XRS Long)', 'W m-2', 'XLONG'], '2': ['Solar X-ray Flux (XRS Short)', 'W m-2', 'XSHRT'], '3': ['Solar EUV Irradiance', 'W m-2', 'EUVIRR'], '4': ['Solar Spectral Irradiance', 'W m-2 nm-1', 'SPECIRR'], '5': ['F10.7', 'W m-2 Hz-1', 'F107'], '6': ['Solar Radio Emissions', 'W m-2 Hz-1', 'SOLRF'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_7", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_7", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Limb Intensity', 'J m-2 s-1', 'LMBINT'], '1': ['Disk Intensity', 'J m-2 s-1', 'DSKINT'], '2': ['Disk Intensity Day', 'J m-2 s-1', 'DSKDAY'], '3': ['Disk Intensity Night', 'J m-2 s-1', 'DSKNGT'], '4-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_8", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_8", "kind": "variable", "doc": "\n", "default_value": "{'0': ['X-Ray Radiance', 'W sr-1 m-2', 'XRAYRAD'], '1': ['EUV Radiance', 'W sr-1 m-2', 'EUVRAD'], '2': ['H-Alpha Radiance', 'W sr-1 m-2', 'HARAD'], '3': ['White Light Radiance', 'W sr-1 m-2', 'WHTRAD'], '4': ['CaII-K Radiance', 'W sr-1 m-2', 'CAIIRAD'], '5': ['White Light Coronagraph Radiance', 'W sr-1 m-2', 'WHTCOR'], '6': ['Heliospheric Radiance', 'W sr-1 m-2', 'HELCOR'], '7': ['Thematic Mask', 'Numeric', 'MASK'], '8': ['Solar Induced Chlorophyll Fluorscence', 'W sr-1 m-2', 'SICFL'], '9-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_9", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_9", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Pedersen Conductivity', 'S m-1', 'SIGPED'], '1': ['Hall Conductivity', 'S m-1', 'SIGHAL'], '2': ['Parallel Conductivity', 'S m-1', 'SIGPAR'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section5", "modulename": "grib2io.tables.section5", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section5.table_5_0", "modulename": "grib2io.tables.section5", "qualname": "table_5_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Grid Point Data - Simple Packing (see Template 5.0)', '1': 'Matrix Value at Grid Point - Simple Packing (see Template 5.1)', '2': 'Grid Point Data - Complex Packing (see Template 5.2)', '3': 'Grid Point Data - Complex Packing and Spatial Differencing (see Template 5.3)', '4': 'Grid Point Data - IEEE Floating Point Data (see Template 5.4)', '5-39': 'Reserved', '40': 'Grid point data - JPEG 2000 code stream format (see Template 5.40)', '41': 'Grid point data - Portable Network Graphics (PNG) (see Template 5.41)', '42': 'Grid point data - CCSDS recommended lossless compression (see Template 5.42)', '43-49': 'Reserved', '50': 'Spectral Data - Simple Packing (see Template 5.50)', '51': 'Spectral Data - Complex Packing (see Template 5.51)', '52': 'Reserved', '53': 'Spectral data for limited area models - complex packing (see Template 5.53)', '54-60': 'Reserved', '61': 'Grid Point Data - Simple Packing With Logarithm Pre-processing (see Template 5.61)', '62-199': 'Reserved', '200': 'Run Length Packing With Level Values (see Template 5.200)', '201-49151': 'Reserved', '49152-65534': 'Reserved for Local Use', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section5.table_5_1", "modulename": "grib2io.tables.section5", "qualname": "table_5_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Floating Point', '1': 'Integer', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section5.table_5_2", "modulename": "grib2io.tables.section5", "qualname": "table_5_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Explicit Coordinate Values Set', '1': 'Linear Coordinates f(1) = C1 f(n) = f(n-1) + C2', '2-10': 'Reserved', '11': 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\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.secMissingValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.secMissingValue", "kind": "variable", "doc": "Secondary Missing Value
\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nGroups", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nGroups", "kind": "variable", "doc": "Number of Groups
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.refGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.refGroupWidth", "kind": "variable", "doc": "Reference Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBitsGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBitsGroupWidth", "kind": "variable", "doc": "Number of bits for Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.refGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.refGroupLength", "kind": "variable", "doc": "Reference Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.groupLengthIncrement", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.groupLengthIncrement", "kind": "variable", "doc": "Group Length Increment
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.lengthOfLastGroup", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.lengthOfLastGroup", "kind": "variable", "doc": "Length of Last Group
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBitsScaledGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBitsScaledGroupLength", "kind": "variable", "doc": "Number of bits of Scaled Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.spatialDifferenceOrder", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.spatialDifferenceOrder", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBytesSpatialDifference", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBytesSpatialDifference", "kind": "variable", "doc": "Number of bytes for Spatial Differencing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate4", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate4", "kind": "class", "doc": "Data Representation Template 4
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate4.precision", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate4.precision", "kind": "variable", "doc": "Precision for IEEE Floating Point Data
\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40", "kind": "class", "doc": "Data Representation Template 40
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.typeOfCompression", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.typeOfCompression", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.targetCompressionRatio", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.targetCompressionRatio", "kind": "variable", "doc": "Target Compression Ratio
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41", "kind": "class", "doc": "Data Representation Template 41
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42", "kind": "class", "doc": "Data Representation Template 42
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.compressionOptionsMask", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.compressionOptionsMask", "kind": "variable", "doc": "Compression Options Mask for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.blockSize", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.blockSize", "kind": "variable", "doc": "Block Size for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.refSampleInterval", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.refSampleInterval", "kind": "variable", "doc": "Reference Sample Interval for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50", "kind": "class", "doc": "Data Representation Template 50
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.realOfCoefficient", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.realOfCoefficient", "kind": "variable", "doc": "Real of Coefficient
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.drt_class_by_drtn", "modulename": "grib2io.templates", "qualname": "drt_class_by_drtn", "kind": "function", "doc": "Provides a Data Representation Template class via the template number
\n\ndrtn : int\n Data Representation template number.
Data Representation template class object (not an instance).
\n", "signature": "(drtn):", "funcdef": "def"}, {"fullname": "grib2io.utils", "modulename": "grib2io.utils", "kind": "module", "doc": "Collection of utility functions to assist in the encoding and decoding\nof GRIB2 Messages.
\n"}, {"fullname": "grib2io.utils.int2bin", "modulename": "grib2io.utils", "qualname": "int2bin", "kind": "function", "doc": "Convert integer to binary string or list
\n\ni : int\n Integer value to convert to binary representation.
nbits : int, optional\n Number of bits to return. Valid values are 8 [DEFAULT], 16, 32, and 64.
output : type\n Return data as str [DEFAULT] or list (list of ints).
str or list (list of ints) of binary representation of the integer value.
Convert an IEEE 32-bit float to a 32-bit integer.
\n\nf : float\n Floating-point value.
numpy.int32 representation of an IEEE 32-bit float.
Convert a 32-bit integer to an IEEE 32-bit float.
\n\ni : int\n Integer value.
numpy.float32 representation of a 32-bit int.
Computes lead time as a datetime.timedelta object using information from\nGRIB2 Identification Section (Section 1), Product Definition Template\nNumber, and Product Definition Template (Section 4).
\n\nidsec : list or array_like\n Seqeunce containing GRIB2 Identification Section (Section 1).
pdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Seqeunce containing GRIB2 Product Definition Template (Section 4).
datetime.timedelta object representing the lead time of the GRIB2 message.
Computes a time duration as a datetime.timedelta using information from\nProduct Definition Template Number, and Product Definition Template (Section 4).
\n\npdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Sequence containing GRIB2 Product Definition Template (Section 4).
datetime.timedelta object representing the time duration of the GRIB2 message.
Decode GRIB2 Local Use Section to obtain NDFD/MDL Weather Strings. The\ndecode procedure is defined here.
\n\nlus : bytes\n GRIB2 Local Use Section containing NDFD weather strings.
dict of NDFD/MDL weather strings. Keys are an integer value that represent \nthe sequential order of the key in the packed local use section and the value is \nthe weather key.
Return a wgrib2-formatted string explaining probabilistic\nthreshold informaiton. Logic from wgrib2 source, Prob.c,\nis replicated here.
\n\nprobtype : int\n Type of probability (Code Table 4.9).
sfacl : int\n Scale factor of lower limit.
svall : int\n Scaled value of lower limit.
sfacu : int\n Scale factor of upper limit.
svalu : int\n Scaled value of upper limit.
wgrib2-formatted string of probability threshold.
\n", "signature": "(probtype, sfacl, svall, sfacu, svalu):", "funcdef": "def"}, {"fullname": "grib2io.utils.arakawa_rotated_grid", "modulename": "grib2io.utils.arakawa_rotated_grid", "kind": "module", "doc": "Functions for handling an Arakawa Rotated Lat/Lon Grids.
\n\nThis grid is not often used, but is currently used for the NCEP/RAP using\nGRIB2 Grid Definition Template 32769
\n\nThese functions are adapted from the NCAR Command Language (ncl),\nfrom NcGRIB2.c
\n"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.DEG2RAD", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "DEG2RAD", "kind": "variable", "doc": "\n", "default_value": "0.017453292519943295"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.RAD2DEG", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "RAD2DEG", "kind": "variable", "doc": "\n", "default_value": "57.29577951308232"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.ll2rot", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "ll2rot", "kind": "function", "doc": "Rotate a latitude/longitude pair.
\n\nlatin: float\n Latitudes in units of degrees.
lonin: float\n Longitudes in units of degrees.
latpole: float\n Latitude of Pole.
lonpole: float\n Longitude of Pole.
tlat, tlons\n Returns two floats of rotated latitude and longitude in units of degrees.
Unrotate a latitude/longitude pair.
\n\nlatin: float\n Latitudes in units of degrees.
lonin: float\n Longitudes in units of degrees.
latpole: float\n Latitude of Pole.
lonpole: float\n Longitude of Pole.
tlat, tlons\n Returns two floats of unrotated latitude and longitude in units of degrees.
Generate a rotation angle value that can be applied to a vector quantity to\nmake it Earth-oriented.
\n\ntlat: float\n True latitude in units of degrees.
**tlon**:float`\n True longitude in units of degrees..
clat: float\n Latitude of center grid point in units of degrees.
losp: float\n Longitude of the southern pole in units of degrees.
xlat: float\n Latitude of the rotated grid in units of degrees.
rot : float\n Rotation angle in units of radians.
Tools for working with Gaussian grids.
\n\nAdopted from: https://gist.github.com/ajdawson/b64d24dfac618b91974f
\n"}, {"fullname": "grib2io.utils.gauss_grid.gaussian_latitudes", "modulename": "grib2io.utils.gauss_grid", "qualname": "gaussian_latitudes", "kind": "function", "doc": "Construct latitudes for a Gaussian grid.
\n\nnlat : int\n The number of latitudes in the Gaussian grid.
numpy.ndarray of latitudes (in degrees) with a length of nlat.
Tools for working with Rotated Lat/Lon Grids.
\n"}, {"fullname": "grib2io.utils.rotated_grid.RAD2DEG", "modulename": "grib2io.utils.rotated_grid", "qualname": "RAD2DEG", "kind": "variable", "doc": "\n", "default_value": "57.29577951308232"}, {"fullname": "grib2io.utils.rotated_grid.DEG2RAD", "modulename": "grib2io.utils.rotated_grid", "qualname": "DEG2RAD", "kind": "variable", "doc": "\n", "default_value": "0.017453292519943295"}, {"fullname": "grib2io.utils.rotated_grid.rotate", "modulename": "grib2io.utils.rotated_grid", "qualname": "rotate", "kind": "function", "doc": "Perform grid rotation. This function is adapted from ECMWF's ecCodes library\nvoid function, rotate().
\n\nhttps://github.com/ecmwf/eccodes/blob/develop/src/grib_geography.cc
\n\nlatin : float or array_like\n Latitudes in units of degrees.
lonin : float or array_like\n Longitudes in units of degrees.
aor : float\n Angle of rotation as defined in GRIB2 GDTN 4.1.
splat : float\n Latitude of South Pole as defined in GRIB2 GDTN 4.1.
splon : float\n Longitude of South Pole as defined in GRIB2 GDTN 4.1.
lats, lons : numpy.ndarray\n numpy.ndarrays with dtype=numpy.float32 of grid latitudes and\n longitudes in units of degrees.
Perform grid un-rotation. This function is adapted from ECMWF's ecCodes library\nvoid function, unrotate().
\n\nhttps://github.com/ecmwf/eccodes/blob/develop/src/grib_geography.cc
\n\nlatin : float or array_like\n Latitudes in units of degrees.
lonin : float or array_like\n Longitudes in units of degrees.
aor : float\n Angle of rotation as defined in GRIB2 GDTN 4.1.
splat : float\n Latitude of South Pole as defined in GRIB2 GDTN 4.1.
splon : float\n Longitude of South Pole as defined in GRIB2 GDTN 4.1.
lats, lons : numpy.ndarray\n numpy.ndarrays with dtype=numpy.float32 of grid latitudes and\n longitudes in units of degrees.
grib2io is a Python package that provides an interface to the NCEP GRIB2 C (g2c)\nlibrary for the purpose of reading and writing WMO GRIdded Binary, Edition 2 (GRIB2) messages. A physical file can contain one\nor more GRIB2 messages.
\n\nGRIB2 file IO is performed directly in Python. The unpacking/packing of GRIB2 integer, coded metadata and data sections is performed\nby the g2c library functions via the g2clib Cython wrapper module. The decoding/encoding of GRIB2 metadata is translated into more\ndescriptive, plain language metadata by looking up the integer code values against the appropriate GRIB2 code tables. These code tables\nare a part of the grib2io module.
\n\nThe following Jupyter Notebooks are available as tutorials:
\n\n\n"}, {"fullname": "grib2io.open", "modulename": "grib2io", "qualname": "open", "kind": "class", "doc": "GRIB2 File Object.
\n\nA physical file can contain one or more GRIB2 messages. When instantiated, class grib2io.open, \nthe file named filename is opened for reading (mode = 'r') and is automatically indexed.
\nThe indexing procedure reads some of the GRIB2 metadata for all GRIB2 Messages. A GRIB2 Message \nmay contain submessages whereby Section 2-7 can be repeated. grib2io accommodates for this by \nflattening any GRIB2 submessages into multiple individual messages.
mode : str\n File IO mode of opening the file.
name : str\n Full path name of the GRIB2 file.
messages : int\n Count of GRIB2 Messages contained in the file.
current_message : int\n Current position of the file in units of GRIB2 Messages.
size : int\n Size of the file in units of bytes.
closed : bool\n True is file handle is close; False otherwise.
variables : tuple\n Tuple containing a unique list of variable short names (i.e. GRIB2 abbreviation names).
levels : tuple\n Tuple containing a unique list of wgrib2-formatted level/layer strings.
Initialize GRIB2 File object instance.
\n\nfilename : str\n File name containing GRIB2 messages.
mode : str, optional\n File access mode where r opens the files for reading only; w opens the file for writing.
Close the file handle
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.read", "modulename": "grib2io", "qualname": "open.read", "kind": "function", "doc": "Read size amount of GRIB2 messages from the current position.
\n\nIf no argument is given, then size is None and all messages are returned from \nthe current position in the file. This read method follows the behavior of \nPython's builtin open() function, but whereas that operates on units of bytes, \nwe operate on units of GRIB2 messages.
\n\nsize : int, optional\n The number of GRIB2 messages to read from the current position. If no argument is\n give, the default value is None and remainder of the file is read.
Grib2Message object when size = 1 or a list of Grib2Messages when size > 1.
Set the position within the file in units of GRIB2 messages.
\n\npos : int\n The GRIB2 Message number to set the file pointer to.
Returns the position of the file in units of GRIB2 Messages.
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.select", "modulename": "grib2io", "qualname": "open.select", "kind": "function", "doc": "Select GRIB2 messages by Grib2Message attributes.
Writes GRIB2 message object to file.
\n\nmsg : Grib2Message or sequence of Grib2Messages\n GRIB2 message objects to write to file.
Flush the file object buffer.
\n", "signature": "(self):", "funcdef": "def"}, {"fullname": "grib2io.open.levels_by_var", "modulename": "grib2io", "qualname": "open.levels_by_var", "kind": "function", "doc": "Return a list of level strings given a variable shortName.
\n\nname : str\n Grib2Message variable shortName
A list of strings of unique level strings.
\n", "signature": "(self, name):", "funcdef": "def"}, {"fullname": "grib2io.open.vars_by_level", "modulename": "grib2io", "qualname": "open.vars_by_level", "kind": "function", "doc": "Return a list of variable shortName strings given a level.
\n\nlevel : str\n Grib2Message variable level
A list of strings of variable shortName strings.
\n", "signature": "(self, level):", "funcdef": "def"}, {"fullname": "grib2io.Grib2Message", "modulename": "grib2io", "qualname": "Grib2Message", "kind": "class", "doc": "Creation class for a GRIB2 message.
\n"}, {"fullname": "grib2io.show_config", "modulename": "grib2io", "qualname": "show_config", "kind": "function", "doc": "Print grib2io build configuration information.
\n", "signature": "():", "funcdef": "def"}, {"fullname": "grib2io.interpolate", "modulename": "grib2io", "qualname": "interpolate", "kind": "function", "doc": "This is the module-level interpolation function that interfaces with the grib2io_interp\ncomponent pakcage that interfaces to the NCEPLIBS-ip library.
\n\na : numpy.ndarray or tuple\n Input data. If a is a numpy.ndarray, scalar interpolation will be\n performed. If a is a tuple, then vector interpolation will be performed\n with the assumption that u = a[0] and v = a[1] and are both numpy.ndarray.
These data are expected to be in 2-dimensional form with shape (ny, nx) or\n3-dimensional (:, ny, nx) where the 1st dimension represents another spatial,\ntemporal, or classification (i.e. ensemble members) dimension. The function will\nproperly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into\nthe interpolation subroutines.\nmethod : int or str\n Interpolate method to use. This can either be an integer or string using\n the following mapping:
| Interpolate Scheme | \nInteger Value | \n
|---|---|
| 'bilinear' | \n0 | \n
| 'bicubic' | \n1 | \n
| 'neighbor' | \n2 | \n
| 'budget' | \n3 | \n
| 'spectral' | \n4 | \n
| 'neighbor-budget' | \n6 | \n
grid_def_in : grib2io.Grib2GridDef\n Grib2GridDef object for the input grid.
grid_def_out : grib2io.Grib2GridDef\n Grib2GridDef object for the output grid or station points.
method_options : list of ints, optional\n Interpolation options. See the NCEPLIBS-ip doucmentation for\n more information on how these are used.
Returns a numpy.ndarray when scalar interpolation is performed or\na tuple of numpy.ndarrays when vector interpolation is performed\nwith the assumptions that 0-index is the interpolated u and 1-index\nis the interpolated v.
This is the module-level interpolation function for interpolation to stations\nthat interfaces with the grib2io_interp component pakcage that interfaces to\nthe NCEPLIBS-ip library. It supports\nscalar and vector interpolation according to the type of object a.
\n\na : numpy.ndarray or tuple\n Input data. If a is a numpy.ndarray, scalar interpolation will be\n performed. If a is a tuple, then vector interpolation will be performed\n with the assumption that u = a[0] and v = a[1] and are both numpy.ndarray.
These data are expected to be in 2-dimensional form with shape (ny, nx) or\n3-dimensional (:, ny, nx) where the 1st dimension represents another spatial,\ntemporal, or classification (i.e. ensemble members) dimension. The function will\nproperly flatten the (ny,nx) dimensions into (nx * ny) acceptable for input into\nthe interpolation subroutines.\nmethod : int or str\n Interpolate method to use. This can either be an integer or string using\n the following mapping:
| Interpolate Scheme | \nInteger Value | \n
|---|---|
| 'bilinear' | \n0 | \n
| 'bicubic' | \n1 | \n
| 'neighbor' | \n2 | \n
| 'budget' | \n3 | \n
| 'spectral' | \n4 | \n
| 'neighbor-budget' | \n6 | \n
grid_def_in : grib2io.Grib2GridDef\n Grib2GridDef object for the input grid.
lats : numpy.ndarray or list\n Latitudes for station points
lons : numpy.ndarray or list\n Longitudes for station points
method_options : list of ints, optional\n Interpolation options. See the NCEPLIBS-ip doucmentation for\n more information on how these are used.
Returns a numpy.ndarray when scalar interpolation is performed or\na tuple of numpy.ndarrays when vector interpolation is performed\nwith the assumptions that 0-index is the interpolated u and 1-index\nis the interpolated v.
Class to hold GRIB2 Grid Definition Template Number and Template as\nclass attributes. This allows for cleaner looking code when passing these\nmetadata around. For example, the grib2io._Grib2Message.interpolate\nmethod and grib2io.interpolate function accepts these objects.
Functions for retreiving data from NCEP GRIB2 Tables.
\n"}, {"fullname": "grib2io.tables.GRIB2_DISCIPLINES", "modulename": "grib2io.tables", "qualname": "GRIB2_DISCIPLINES", "kind": "variable", "doc": "\n", "default_value": "[0, 1, 2, 3, 4, 10, 20]"}, {"fullname": "grib2io.tables.get_table", "modulename": "grib2io.tables", "qualname": "get_table", "kind": "function", "doc": "Return GRIB2 code table as a dictionary.
\n\ntable : str\n Code table number (e.g. '1.0'). NOTE: Code table '4.1' requires a 3rd value\n representing the product discipline (e.g. '4.1.0').
expand : bool, optional\n If True, expand output dictionary where keys are a range.
Table as a dict.
Return the definition given a GRIB2 code table.
\n\nvalue : int or str\n Code table value.
table : str\n Code table number.
expand : bool, optional\n If True, expand output dictionary where keys are a range.
Table value or None if not found.
Return the GRIB2 variable information given values of discipline,\nparmcat, and parmnum. NOTE: This functions allows for all arguments\nto be converted to a string type if arguments are integer.
discipline : int or str\n Discipline code value of a GRIB2 message.
parmcat : int or str\n Parameter Category value of a GRIB2 message.
parmnum : int or str\n Parameter Number value of a GRIB2 message.
isNDFD : bool, optional\n If True, signals function to try to get variable information from \n the supplemental NDFD tables.
list containing variable information. \"Unknown\" is given for item of\ninformation if variable is not found.\n - list[0] = full name\n - list[1] = units\n - list[2] = short name (abbreviated name)
Returns a list of variable shortNames given GRIB2 discipline, parameter\ncategory, and parameter number. If all 3 args are None, then shortNames\nfrom all disciplines, parameter categories, and numbers will be returned.
\n\ndiscipline : int\n GRIB2 discipline code value.
parmcat : int\n GRIB2 parameter category value.
parmnum : int or str\n Parameter Number value of a GRIB2 message.
list of GRIB2 shortNames.
Provide GRIB2 variable metadata attributes given a GRIB2 shortName.
\n\nshortname : str\n GRIB2 variable shortName.
list of dictionary items where each dictionary items contains the variable\nmetadata key:value pairs. NOTE: Some variable shortNames will exist in multiple\nparameter category/number tables according to the GRIB2 discipline.
Return a string that describes the level or layer of the GRIB2 message. The\nformat and language of the string is an exact replica of how wgrib2 produces\nthe level/layer string in its inventory output.
\n\nContents of wgrib2 source, Level.c,\nwere converted into a Python dictionary and stored in grib2io as table\n'wgrib2_level_string'.
\n\npdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Sequence containing GRIB2 Product Definition Template (Section 4).
wgrib2-formatted level/layer string.
\n", "signature": "(pdtn, pdt):", "funcdef": "def"}, {"fullname": "grib2io.tables.originating_centers", "modulename": "grib2io.tables.originating_centers", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.originating_centers.table_originating_centers", "modulename": "grib2io.tables.originating_centers", "qualname": "table_originating_centers", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Melbourne (WMC)', '2': 'Melbourne (WMC)', '3': 'Melbourne (WMC)', '4': 'Moscow (WMC)', '5': 'Moscow (WMC)', '6': 'Moscow (WMC)', '7': 'US National Weather Service - NCEP (WMC)', '8': 'US National Weather Service - NWSTG (WMC)', '9': 'US National Weather Service - Other (WMC)', '10': 'Cairo (RSMC/RAFC)', '11': 'Cairo (RSMC/RAFC)', '12': 'Dakar (RSMC/RAFC)', '13': 'Dakar (RSMC/RAFC)', '14': 'Nairobi (RSMC/RAFC)', '15': 'Nairobi (RSMC/RAFC)', '16': 'Casablanca (RSMC)', '17': 'Tunis (RSMC)', '18': 'Tunis-Casablanca (RSMC)', '19': 'Tunis-Casablanca (RSMC)', '20': 'Las Palmas (RAFC)', '21': 'Algiers (RSMC)', '22': 'ACMAD', '23': 'Mozambique (NMC)', '24': 'Pretoria (RSMC)', '25': 'La Reunion (RSMC)', '26': 'Khabarovsk (RSMC)', '27': 'Khabarovsk (RSMC)', '28': 'New Delhi (RSMC/RAFC)', '29': 'New Delhi (RSMC/RAFC)', '30': 'Novosibirsk (RSMC)', '31': 'Novosibirsk (RSMC)', '32': 'Tashkent (RSMC)', '33': 'Jeddah (RSMC)', '34': 'Tokyo (RSMC), Japanese Meteorological Agency', '35': 'Tokyo (RSMC), Japanese Meteorological Agency', '36': 'Bankok', '37': 'Ulan Bator', '38': 'Beijing (RSMC)', '39': 'Beijing (RSMC)', '40': 'Seoul', '41': 'Buenos Aires (RSMC/RAFC)', '42': 'Buenos Aires (RSMC/RAFC)', '43': 'Brasilia (RSMC/RAFC)', '44': 'Brasilia (RSMC/RAFC)', '45': 'Santiago', '46': 'Brazilian Space Agency - INPE', '47': 'Columbia (NMC)', '48': 'Ecuador (NMC)', '49': 'Peru (NMC)', '50': 'Venezuela (NMC)', '51': 'Miami (RSMC/RAFC)', '52': 'Miami (RSMC), National Hurricane Center', '53': 'Canadian Meteorological Service - Montreal (RSMC)', '54': 'Canadian Meteorological Service - Montreal (RSMC)', '55': 'San Francisco', '56': 'ARINC Center', '57': 'US Air Force - Air Force Global Weather Center', '58': 'Fleet Numerical Meteorology and Oceanography Center,Monterey,CA,USA', '59': 'The NOAA Forecast Systems Lab, Boulder, CO, USA', '60': 'National Center for Atmospheric Research (NCAR), Boulder, CO', '61': 'Service ARGOS - Landover, MD, USA', '62': 'US Naval Oceanographic Office', '63': 'International Research Institude for Climate and Society', '64': 'Honolulu', '65': 'Darwin (RSMC)', '66': 'Darwin (RSMC)', '67': 'Melbourne (RSMC)', '68': 'Reserved', '69': 'Wellington (RSMC/RAFC)', '70': 'Wellington (RSMC/RAFC)', '71': 'Nadi (RSMC)', '72': 'Singapore', '73': 'Malaysia (NMC)', '74': 'U.K. Met Office - Exeter (RSMC)', '75': 'U.K. Met Office - Exeter (RSMC)', '76': 'Moscow (RSMC/RAFC)', '77': 'Reserved', '78': 'Offenbach (RSMC)', '79': 'Offenbach (RSMC)', '80': 'Rome (RSMC)', '81': 'Rome (RSMC)', '82': 'Norrkoping', '83': 'Norrkoping', '84': 'French Weather Service - Toulouse', '85': 'French Weather Service - Toulouse', '86': 'Helsinki', '87': 'Belgrade', '88': 'Oslo', '89': 'Prague', '90': 'Episkopi', '91': 'Ankara', '92': 'Frankfurt/Main (RAFC)', '93': 'London (WAFC)', '94': 'Copenhagen', '95': 'Rota', '96': 'Athens', '97': 'European Space Agency (ESA)', '98': 'European Center for Medium-Range Weather Forecasts (RSMC)', '99': 'De Bilt, Netherlands', '100': 'Brazzaville', '101': 'Abidjan', '102': 'Libyan Arab Jamahiriya (NMC)', '103': 'Madagascar (NMC)', '104': 'Mauritius (NMC)', '105': 'Niger (NMC)', '106': 'Seychelles (NMC)', '107': 'Uganda (NMC)', '108': 'United Republic of Tanzania (NMC)', '109': 'Zimbabwe (NMC)', '110': 'Hong-Kong', '111': 'Afghanistan (NMC)', '112': 'Bahrain (NMC)', '113': 'Bangladesh (NMC)', '114': 'Bhutan (NMC)', '115': 'Cambodia (NMC)', '116': 'Democratic Peoples Republic of Korea (NMC)', '117': 'Islamic Republic of Iran (NMC)', '118': 'Iraq (NMC)', '119': 'Kazakhstan (NMC)', '120': 'Kuwait (NMC)', '121': 'Kyrgyz Republic (NMC)', '122': 'Lao Peoples Democratic Republic (NMC)', '123': 'Macao, China', '124': 'Maldives (NMC)', '125': 'Myanmar (NMC)', '126': 'Nepal (NMC)', '127': 'Oman (NMC)', '128': 'Pakistan (NMC)', '129': 'Qatar (NMC)', '130': 'Yemen (NMC)', '131': 'Sri Lanka (NMC)', '132': 'Tajikistan (NMC)', '133': 'Turkmenistan (NMC)', '134': 'United Arab Emirates (NMC)', '135': 'Uzbekistan (NMC)', '136': 'Viet Nam (NMC)', '137-139': 'Reserved', '140': 'Bolivia (NMC)', '141': 'Guyana (NMC)', '142': 'Paraguay (NMC)', '143': 'Suriname (NMC)', '144': 'Uruguay (NMC)', '145': 'French Guyana', '146': 'Brazilian Navy Hydrographic Center', '147': 'National Commission on Space Activities - Argentina', '148': 'Brazilian Department of Airspace Control - DECEA', '149': 'Reserved', '150': 'Antigua and Barbuda (NMC)', '151': 'Bahamas (NMC)', '152': 'Barbados (NMC)', '153': 'Belize (NMC)', '154': 'British Caribbean Territories Center', '155': 'San Jose', '156': 'Cuba (NMC)', '157': 'Dominica (NMC)', '158': 'Dominican Republic (NMC)', '159': 'El Salvador (NMC)', '160': 'US NOAA/NESDIS', '161': 'US NOAA Office of Oceanic and Atmospheric Research', '162': 'Guatemala (NMC)', '163': 'Haiti (NMC)', '164': 'Honduras (NMC)', '165': 'Jamaica (NMC)', '166': 'Mexico City', '167': 'Netherlands Antilles and Aruba (NMC)', '168': 'Nicaragua (NMC)', '169': 'Panama (NMC)', '170': 'Saint Lucia (NMC)', '171': 'Trinidad and Tobago (NMC)', '172': 'French Departments in RA IV', '173': 'US National Aeronautics and Space Administration (NASA)', '174': 'Integrated System Data Management/Marine Environmental Data Service (ISDM/MEDS) - Canada', '175': 'Reserved', '176': 'US Cooperative Institude for Meteorological Satellite Studies', '177-189': 'Reserved', '190': 'Cook Islands (NMC)', '191': 'French Polynesia (NMC)', '192': 'Tonga (NMC)', '193': 'Vanuatu (NMC)', '194': 'Brunei (NMC)', '195': 'Indonesia (NMC)', '196': 'Kiribati (NMC)', '197': 'Federated States of Micronesia (NMC)', '198': 'New Caledonia (NMC)', '199': 'Niue', '200': 'Papua New Guinea (NMC)', '201': 'Philippines (NMC)', '202': 'Samoa (NMC)', '203': 'Solomon Islands (NMC)', '204': 'Narional Institude of Water and Atmospheric Research - New Zealand', '205-209': 'Reserved', '210': 'Frascati (ESA/ESRIN)', '211': 'Lanion', '212': 'Lisbon', '213': 'Reykjavik', '214': 'Madrid', '215': 'Zurich', '216': 'Service ARGOS - Toulouse', '217': 'Bratislava', '218': 'Budapest', '219': 'Ljubljana', '220': 'Warsaw', '221': 'Zagreb', '222': 'Albania (NMC)', '223': 'Armenia (NMC)', '224': 'Austria (NMC)', '225': 'Azerbaijan (NMC)', '226': 'Belarus (NMC)', '227': 'Belgium (NMC)', '228': 'Bosnia and Herzegovina (NMC)', '229': 'Bulgaria (NMC)', '230': 'Cyprus (NMC)', '231': 'Estonia (NMC)', '232': 'Georgia (NMC)', '233': 'Dublin', '234': 'Israel (NMC)', '235': 'Jordan (NMC)', '236': 'Latvia (NMC)', '237': 'Lebanon (NMC)', '238': 'Lithuania (NMC)', '239': 'Luxembourg', '240': 'Malta (NMC)', '241': 'Monaco', '242': 'Romania (NMC)', '243': 'Syrian Arab Republic (NMC)', '244': 'The former Yugoslav Republic of Macedonia (NMC)', '245': 'Ukraine (NMC)', '246': 'Republic of Moldova (NMC)', '247': 'Operational Programme for the Exchange of Weather RAdar Information (OPERA) - EUMETNET', '248-249': 'Reserved', '250': 'COnsortium for Small scale MOdelling (COSMO)', '251-253': 'Reserved', '254': 'EUMETSAT Operations Center', '255': 'Missing Value'}"}, {"fullname": "grib2io.tables.originating_centers.table_originating_subcenters", "modulename": "grib2io.tables.originating_centers", "qualname": "table_originating_subcenters", "kind": "variable", "doc": "\n", "default_value": "{'1': 'NCEP Re-Analysis Project', '2': 'NCEP Ensemble Products', '3': 'NCEP Central Operations', '4': 'Environmental Modeling Center', '5': 'Weather Prediction Center', '6': 'Ocean Prediction Center', '7': 'Climate Prediction Center', '8': 'Aviation Weather Center', '9': 'Storm Prediction Center', '10': 'National Hurricane Center', '11': 'NWS Techniques Development Laboratory', '12': 'NESDIS Office of Research and Applications', '13': 'Federal Aviation Administration', '14': 'NWS Meteorological Development Laboratory', '15': 'North American Regional Reanalysis Project', '16': 'Space Weather Prediction Center', '17': 'ESRL Global Systems Division'}"}, {"fullname": "grib2io.tables.originating_centers.table_generating_process", "modulename": "grib2io.tables.originating_centers", "qualname": "table_generating_process", "kind": "variable", "doc": "\n", "default_value": "{'0-1': 'Reserved', '2': 'Ultra Violet Index Model', '3': 'NCEP/ARL Transport and Dispersion Model', '4': 'NCEP/ARL Smoke Model', '5': 'Satellite Derived Precipitation and temperatures, from IR (See PDS Octet 41 ... for specific satellite ID)', '6': 'NCEP/ARL Dust Model', '7-9': 'Reserved', '10': 'Global Wind-Wave Forecast Model', '11': 'Global Multi-Grid Wave Model (Static Grids)', '12': 'Probabilistic Storm Surge (P-Surge)', '13': 'Hurricane Multi-Grid Wave Model', '14': 'Extra-tropical Storm Surge Atlantic Domain', '15': 'Nearshore Wave Prediction System (NWPS)', '16': 'Extra-Tropical Storm Surge (ETSS)', '17': 'Extra-tropical Storm Surge Pacific Domain', '18': 'Probabilistic Extra-Tropical Storm Surge (P-ETSS)', '19': 'Reserved', '20': 'Extra-tropical Storm Surge Micronesia Domain', '21': 'Extra-tropical Storm Surge Atlantic Domain (3D)', '22': 'Extra-tropical Storm Surge Pacific Domain (3D)', '23': 'Extra-tropical Storm Surge Micronesia Domain (3D)', '24': 'Reserved', '25': 'Snow Cover Analysis', '26-29': 'Reserved', '30': 'Forecaster generated field', '31': 'Value added post processed field', '32-41': 'Reserved', '42': 'Global Optimum Interpolation Analysis (GOI) from GFS model', '43': 'Global Optimum Interpolation Analysis (GOI) from "Final" run', '44': 'Sea Surface Temperature Analysis', '45': 'Coastal Ocean Circulation Model', '46': 'HYCOM - Global', '47': 'HYCOM - North Pacific basin', '48': 'HYCOM - North Atlantic basin', '49': 'Ozone Analysis from TIROS Observations', '50-51': 'Reserved', '52': 'Ozone Analysis from Nimbus 7 Observations', '53-63': 'Reserved', '64': 'Regional Optimum Interpolation Analysis (ROI)', '65-67': 'Reserved', '68': '80 wave triangular, 18-layer Spectral model from GFS model', '69': '80 wave triangular, 18 layer Spectral model from "Medium Range Forecast" run', '70': 'Quasi-Lagrangian Hurricane Model (QLM)', '71': 'Hurricane Weather Research and Forecasting (HWRF)', '72': 'Hurricane Non-Hydrostatic Multiscale Model on the B Grid (HNMMB)', '73': 'Fog Forecast model - Ocean Prod. Center', '74': 'Gulf of Mexico Wind/Wave', '75': 'Gulf of Alaska Wind/Wave', '76': 'Bias corrected Medium Range Forecast', '77': '126 wave triangular, 28 layer Spectral model from GFS model', '78': '126 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run', '79': 'Reserved', '80': '62 wave triangular, 28 layer Spectral model from "Medium Range Forecast" run', '81': 'Analysis from GFS (Global Forecast System)', '82': 'Analysis from GDAS (Global Data Assimilation System)', '83': 'High Resolution Rapid Refresh (HRRR)', '84': 'MESO NAM Model (currently 12 km)', '85': 'Real Time Ocean Forecast System (RTOFS)', '86': 'Early Hurricane Wind Speed Probability Model', '87': 'CAC Ensemble Forecasts from Spectral (ENSMB)', '88': 'NOAA Wave Watch III (NWW3) Ocean Wave Model', '89': 'Non-hydrostatic Meso Model (NMM) (Currently 8 km)', '90': '62 wave triangular, 28 layer spectral model extension of the "Medium Range Forecast" run', '91': '62 wave triangular, 28 layer spectral model extension of the GFS model', '92': '62 wave triangular, 28 layer spectral model run from the "Medium Range Forecast" final analysis', '93': '62 wave triangular, 28 layer spectral model run from the T62 GDAS analysis of the "Medium Range Forecast" run', '94': 'T170/L42 Global Spectral Model from MRF run', '95': 'T126/L42 Global Spectral Model from MRF run', '96': 'Global Forecast System Model T1534 - Forecast hours 00-384 T574 - Forecast hours 00-192 T190 - Forecast hours 204-384', '97': 'Reserved', '98': 'Climate Forecast System Model -- Atmospheric model (GFS) coupled to a multi level ocean model . Currently GFS spectral model at T62, 64 levels coupled to 40 level MOM3 ocean model.', '99': 'Miscellaneous Test ID', '100': 'Miscellaneous Test ID', '101': 'Conventional Observation Re-Analysis (CORE)', '102-103': 'Reserved', '104': 'National Blend GRIB', '105': 'Rapid Refresh (RAP)', '106': 'Reserved', '107': 'Global Ensemble Forecast System (GEFS)', '108': 'Localized Aviation MOS Program (LAMP)', '109': 'Real Time Mesoscale Analysis (RTMA)', '110': 'NAM Model - 15km version', '111': 'NAM model, generic resolution (Used in SREF processing)', '112': 'WRF-NMM model, generic resolution (Used in various runs) NMM=Nondydrostatic Mesoscale Model (NCEP)', '113': 'Products from NCEP SREF processing', '114': 'NAEFS Products from joined NCEP, CMC global ensembles', '115': 'Downscaled GFS from NAM eXtension', '116': 'WRF-EM model, generic resolution (Used in various runs) EM - Eulerian Mass-core (NCAR - aka Advanced Research WRF)', '117': 'NEMS GFS Aerosol Component', '118': 'UnRestricted Mesoscale Analysis (URMA)', '119': 'WAM (Whole Atmosphere Model)', '120': 'Ice Concentration Analysis', '121': 'Western North Atlantic Regional Wave Model', '122': 'Alaska Waters Regional Wave Model', '123': 'North Atlantic Hurricane Wave Model', '124': 'Eastern North Pacific Regional Wave Model', '125': 'North Pacific Hurricane Wave Model', '126': 'Sea Ice Forecast Model', '127': 'Lake Ice Forecast Model', '128': 'Global Ocean Forecast Model', '129': 'Global Ocean Data Analysis System (GODAS)', '130': 'Merge of fields from the RUC, NAM, and Spectral Model', '131': 'Great Lakes Wave Model', '132': 'High Resolution Ensemble Forecast (HREF)', '133': 'Great Lakes Short Range Wave Model', '134': 'Rapid Refresh Forecast System (RRFS)', '135': 'Hurricane Analysis and Forecast System (HAFS)', '136-139': 'Reserved', '140': 'North American Regional Reanalysis (NARR)', '141': 'Land Data Assimilation and Forecast System', '142-149': 'Reserved', '150': 'NWS River Forecast System (NWSRFS)', '151': 'NWS Flash Flood Guidance System (NWSFFGS)', '152': 'WSR-88D Stage II Precipitation Analysis', '153': 'WSR-88D Stage III Precipitation Analysis', '154-179': 'Reserved', '180': 'Quantitative Precipitation Forecast generated by NCEP', '181': 'River Forecast Center Quantitative Precipitation Forecast mosaic generated by NCEP', '182': 'River Forecast Center Quantitative Precipitation estimate mosaic generated by NCEP', '183': 'NDFD product generated by NCEP/HPC', '184': 'Climatological Calibrated Precipitation Analysis (CCPA)', '185-189': 'Reserved', '190': 'National Convective Weather Diagnostic generated by NCEP/AWC', '191': 'Current Icing Potential automated product genterated by NCEP/AWC', '192': 'Analysis product from NCEP/AWC', '193': 'Forecast product from NCEP/AWC', '194': 'Reserved', '195': 'Climate Data Assimilation System 2 (CDAS2)', '196': 'Climate Data Assimilation System 2 (CDAS2) - used for regeneration runs', '197': 'Climate Data Assimilation System (CDAS)', '198': 'Climate Data Assimilation System (CDAS) - used for regeneration runs', '199': 'Climate Forecast System Reanalysis (CFSR) -- Atmospheric model (GFS) coupled to a multi level ocean, land and seaice model. GFS spectral model at T382, 64 levels coupled to 40 level MOM4 ocean model.', '200': 'CPC Manual Forecast Product', '201': 'CPC Automated Product', '202-209': 'Reserved', '210': 'EPA Air Quality Forecast - Currently North East US domain', '211': 'EPA Air Quality Forecast - Currently Eastern US domain', '212-214': 'Reserved', '215': 'SPC Manual Forecast Product', '216-219': 'Reserved', '220': 'NCEP/OPC automated product', '221-230': 'Reserved for WPC products', '231-254': 'Reserved', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section0", "modulename": "grib2io.tables.section0", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section0.table_0_0", "modulename": "grib2io.tables.section0", "qualname": "table_0_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Meteorological Products', '1': 'Hydrological Products', '2': 'Land Surface Products', '3': 'Satellite Remote Sensing Products', '4': 'Space Weather Products', '5-9': 'Reserved', '10': 'Oceanographic Products', '11-19': 'Reserved', '20': 'Health and Socioeconomic Impacts', '21-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1", "modulename": "grib2io.tables.section1", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section1.table_1_0", "modulename": "grib2io.tables.section1", "qualname": "table_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Experimental', '1': 'Version Implemented on 7 November 2001', '2': 'Version Implemented on 4 November 2003', '3': 'Version Implemented on 2 November 2005', '4': 'Version Implemented on 7 November 2007', '5': 'Version Implemented on 4 November 2009', '6': 'Version Implemented on 15 September 2010', '7': 'Version Implemented on 4 May 2011', '8': 'Version Implemented on 8 November 2011', '9': 'Version Implemented on 2 May 2012', '10': 'Version Implemented on 7 November 2012', '11': 'Version Implemented on 8 May 2013', '12': 'Version Implemented on 14 November 2013', '13': 'Version Implemented on 7 May 2014', '14': 'Version Implemented on 5 November 2014', '16': 'Version Implemented on 11 November 2015', '17': 'Version Implemented on 4 May 2016', '18': 'Version Implemented on 2 November 2016', '19': 'Version Implemented on 3 May 2017', '20': 'Version Implemented on 8 November 2017', '21': 'Version Implemented on 2 May 2018', '22': 'Version Implemented on 7 November 2018', '23': 'Version Implemented on 15 May 2019', '24': 'Version Implemented on 06 November 2019', '25': 'Version Implemented on 06 May 2020', '26': 'Version Implemented on 16 November 2020', '27': 'Version Implemented on 16 June 2021', '28': 'Version Implemented on 15 November 2021', '29': 'Version Implemented on 15 May 2022', '30': 'Version Implemented on 15 November 2022', '31': 'Version Implemented on 15 June 2023', '32': 'Version Implemented on 30 November 2023', '33': 'Pre-operational to be implemented by next amendment', '34-254': 'Future Version', '255': 'Missing"'}"}, {"fullname": "grib2io.tables.section1.table_1_1", "modulename": "grib2io.tables.section1", "qualname": "table_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Local tables not used. Only table entries and templates from the current master table are valid.', '1-254': 'Number of local table version used.', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_2", "modulename": "grib2io.tables.section1", "qualname": "table_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis', '1': 'Start of Forecast', '2': 'Verifying Time of Forecast', '3': 'Observation Time', '4': 'Local Time', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_3", "modulename": "grib2io.tables.section1", "qualname": "table_1_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Operational Products', '1': 'Operational Test Products', '2': 'Research Products', '3': 'Re-Analysis Products', '4': 'THORPEX Interactive Grand Global Ensemble (TIGGE)', '5': 'THORPEX Interactive Grand Global Ensemble (TIGGE) test', '6': 'S2S Operational Products', '7': 'S2S Test Products', '8': 'Uncertainties in ensembles of regional reanalysis project (UERRA)', '9': 'Uncertainties in ensembles of regional reanalysis project (UERRA) Test', '10': 'Copernicus Regional Reanalysis', '11': 'Copernicus Regional Reanalysis Test', '12': 'Destination Earth', '13': 'Destination Earth test', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_4", "modulename": "grib2io.tables.section1", "qualname": "table_1_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis Products', '1': 'Forecast Products', '2': 'Analysis and Forecast Products', '3': 'Control Forecast Products', '4': 'Perturbed Forecast Products', '5': 'Control and Perturbed Forecast Products', '6': 'Processed Satellite Observations', '7': 'Processed Radar Observations', '8': 'Event Probability', '9-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Experimental Products', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_5", "modulename": "grib2io.tables.section1", "qualname": "table_1_5", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Calendar Definition', '1': 'Paleontological Offset', '2': 'Calendar Definition and Paleontological Offset', '3-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section1.table_1_6", "modulename": "grib2io.tables.section1", "qualname": "table_1_6", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Gregorian', '1': '360-day', '2': '365-day', '3': 'Proleptic Gregorian', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3", "modulename": "grib2io.tables.section3", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section3.table_3_0", "modulename": "grib2io.tables.section3", "qualname": "table_3_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Specified in Code Table 3.1', '1': 'Predetermined Grid Definition - Defined by Originating Center', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'A grid definition does not apply to this product.'}"}, {"fullname": "grib2io.tables.section3.table_3_1", "modulename": "grib2io.tables.section3", "qualname": "table_3_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Latitude/Longitude', '1': 'Rotated Latitude/Longitude', '2': 'Stretched Latitude/Longitude', '3': 'Rotated and Stretched Latitude/Longitude', '4': 'Variable Resolution Latitude/longitude ', '5': 'Variable Resolution Rotated Latitude/longitude ', '6-9': 'Reserved', '10': 'Mercator', '11': 'Reserved', '12': 'Transverse Mercator ', '13': 'Mercator with modelling subdomains definition ', '14-19': 'Reserved', '20': 'Polar Stereographic Projection (Can be North or South)', '21-22': 'Reserved', '23': 'Polar Stereographic with modelling subdomains definition ', '24-29': 'Reserved', '30': 'Lambert Conformal (Can be Secant, Tangent, Conical, or Bipolar)', '31': 'Albers Equal Area', '32': 'Reserved', '33': 'Lambert conformal with modelling subdomains definition ', '34-39': 'Reserved', '40': 'Gaussian Latitude/Longitude', '41': 'Rotated Gaussian Latitude/Longitude', '42': 'Stretched Gaussian Latitude/Longitude', '43': 'Rotated and Stretched Gaussian Latitude/Longitude', '44-49': 'Reserved', '50': 'Spherical Harmonic Coefficients', '51': 'Rotated Spherical Harmonic Coefficients', '52': 'Stretched Spherical Harmonic Coefficients', '53': 'Rotated and Stretched Spherical Harmonic Coefficients', '54-59': 'Reserved', '60': 'Cubed-Sphere Gnomonic ', '61': 'Spectral Mercator with modelling subdomains definition ', '62': 'Spectral Polar Stereographic with modelling subdomains definition ', '63': 'Spectral Lambert conformal with modelling subdomains definition ', '64-89': 'Reserved', '90': 'Space View Perspective or Orthographic', '91-99': 'Reserved', '100': 'Triangular Grid Based on an Icosahedron', '101': 'General Unstructured Grid (see Template 3.101)', '102-109': 'Reserved', '110': 'Equatorial Azimuthal Equidistant Projection', '111-119': 'Reserved', '120': 'Azimuth-Range Projection', '121-139': 'Reserved', '140': 'Lambert Azimuthal Equal Area Projection ', '141-149': 'Reserved', '150': 'Hierarchical Equal Area isoLatitude Pixelization grid (HEALPix)', '151-203': 'Reserved', '204': 'Curvilinear Orthogonal Grids', '205-999': 'Reserved', '1000': 'Cross Section Grid with Points Equally Spaced on the Horizontal', '1001-1099': 'Reserved', '1100': 'Hovmoller Diagram with Points Equally Spaced on the Horizontal', '1101-1199': 'Reserved', '1200': 'Time Section Grid', '1201-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '32768': 'Rotated Latitude/Longitude (Arakawa Staggeblack E-Grid)', '32769': 'Rotated Latitude/Longitude (Arakawa Non-E Staggeblack Grid)', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_3_2", "modulename": "grib2io.tables.section3", "qualname": "table_3_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Earth assumed spherical with radius = 6,367,470.0 m', '1': 'Earth assumed spherical with radius specified (in m) by data producer', '2': 'Earth assumed oblate spheriod with size as determined by IAU in 1965 (major axis = 6,378,160.0 m, minor axis = 6,356,775.0 m, f = 1/297.0)', '3': 'Earth assumed oblate spheriod with major and minor axes specified (in km) by data producer', '4': 'Earth assumed oblate spheriod as defined in IAG-GRS80 model (major axis = 6,378,137.0 m, minor axis = 6,356,752.314 m, f = 1/298.257222101)', '5': 'Earth assumed represented by WGS84 (as used by ICAO since 1998) (Uses IAG-GRS80 as a basis)', '6': 'Earth assumed spherical with radius = 6,371,229.0 m', '7': 'Earth assumed oblate spheroid with major and minor axes specified (in m) by data producer', '8': 'Earth model assumed spherical with radius 6,371,200 m, but the horizontal datum of the resulting Latitude/Longitude field is the WGS84 reference frame', '9': 'Earth represented by the OSGB 1936 Datum, using the Airy_1830 Spheroid, the Greenwich meridian as 0 Longitude, the Newlyn datum as mean sea level, 0 height.', '10': 'Earth model assumed WGS84 with corrected geomagnetic coordinates (latitude and longitude) defined by Gustafsson et al., 1992".', '11': 'Sun assumed spherical with radius = 695 990 000 m (Allen, C.W., Astrophysical Quantities, 3rd ed.; Athlone: London, 1976) and Stonyhurst latitude and longitude system with origin at the intersection of the solar central meridian (as seen from Earth) and the solar equator (Thompson, W., Coordinate systems for solar image data, Astron. Astrophys. 2006, 449, 791-803)', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_3_11", "modulename": "grib2io.tables.section3", "qualname": "table_3_11", "kind": "variable", "doc": "\n", "default_value": "{'0': 'There is no appended list', '1': 'Numbers define number of points corresponding to full coordinate circles (i.e. parallels). Coordinate values on each circle are multiple of the circle mesh, and extreme coordinate values given in grid definition may not be reached in all rows.', '2': 'Numbers define number of points corresponding to coordinate lines delimited by extreme coordinate values given in grid definition which are present in each row.', '3': 'Numbers define the actual latitudes for each row in the grid. The list of numbers are integer values of the valid latitudes in microdegrees (scale by 106) or in unit equal to the ratio of the basic angle and the subdivisions number for each row, in the same order as specified in the "scanning mode flag" (bit no. 2)', '4-254': 'Reserved', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section3.table_earth_params", "modulename": "grib2io.tables.section3", "qualname": "table_earth_params", "kind": "variable", "doc": "\n", "default_value": "{'0': {'shape': 'spherical', 'radius': 6367470.0}, '1': {'shape': 'spherical', 'radius': None}, '2': {'shape': 'oblateSpheriod', 'major_axis': 6378160.0, 'minor_axis': 6356775.0, 'flattening': 0.003367003367003367}, '3': {'shape': 'oblateSpheriod', 'major_axis': None, 'minor_axis': None, 'flattening': None}, '4': {'shape': 'oblateSpheriod', 'major_axis': 6378137.0, 'minor_axis': 6356752.314, 'flattening': 0.003352810681182319}, '5': {'shape': 'ellipsoid', 'major_axis': 6378137.0, 'minor_axis': 6356752.3142, 'flattening': 0.003352810681182319}, '6': {'shape': 'spherical', 'radius': 6371229.0}, '7': {'shape': 'oblateSpheriod', 'major_axis': None, 'minor_axis': None, 'flattening': None}, '8': {'shape': 'spherical', 'radius': 6371200.0}, '9': {'shape': 'unknown', 'radius': None}, '10': {'shape': 'unknown', 'radius': None}, '11': {'shape': 'unknown', 'radius': None}, '12': {'shape': 'unknown', 'radius': None}, '13': {'shape': 'unknown', 'radius': None}, '14': {'shape': 'unknown', 'radius': None}, '15': {'shape': 'unknown', 'radius': None}, '16': {'shape': 'unknown', 'radius': None}, '17': {'shape': 'unknown', 'radius': None}, '18': {'shape': 'unknown', 'radius': None}, '19': {'shape': 'unknown', 'radius': None}, '20': {'shape': 'unknown', 'radius': None}, '21': {'shape': 'unknown', 'radius': None}, '22': {'shape': 'unknown', 'radius': None}, '23': {'shape': 'unknown', 'radius': None}, '24': {'shape': 'unknown', 'radius': None}, '25': {'shape': 'unknown', 'radius': None}, '26': {'shape': 'unknown', 'radius': None}, '27': {'shape': 'unknown', 'radius': None}, '28': {'shape': 'unknown', 'radius': None}, '29': {'shape': 'unknown', 'radius': None}, '30': {'shape': 'unknown', 'radius': None}, '31': {'shape': 'unknown', 'radius': None}, '32': {'shape': 'unknown', 'radius': None}, '33': {'shape': 'unknown', 'radius': None}, '34': {'shape': 'unknown', 'radius': None}, '35': {'shape': 'unknown', 'radius': None}, '36': {'shape': 'unknown', 'radius': None}, '37': {'shape': 'unknown', 'radius': None}, '38': {'shape': 'unknown', 'radius': None}, '39': {'shape': 'unknown', 'radius': None}, '40': {'shape': 'unknown', 'radius': None}, '41': {'shape': 'unknown', 'radius': None}, '42': {'shape': 'unknown', 'radius': None}, '43': {'shape': 'unknown', 'radius': None}, '44': {'shape': 'unknown', 'radius': None}, '45': {'shape': 'unknown', 'radius': None}, '46': {'shape': 'unknown', 'radius': None}, '47': {'shape': 'unknown', 'radius': None}, '48': {'shape': 'unknown', 'radius': None}, '49': {'shape': 'unknown', 'radius': None}, '50': {'shape': 'unknown', 'radius': None}, '51': {'shape': 'unknown', 'radius': None}, '52': {'shape': 'unknown', 'radius': None}, '53': {'shape': 'unknown', 'radius': None}, '54': {'shape': 'unknown', 'radius': None}, '55': {'shape': 'unknown', 'radius': None}, '56': {'shape': 'unknown', 'radius': None}, '57': {'shape': 'unknown', 'radius': None}, '58': {'shape': 'unknown', 'radius': None}, '59': {'shape': 'unknown', 'radius': None}, '60': {'shape': 'unknown', 'radius': None}, '61': {'shape': 'unknown', 'radius': None}, '62': {'shape': 'unknown', 'radius': None}, '63': {'shape': 'unknown', 'radius': None}, '64': {'shape': 'unknown', 'radius': None}, '65': {'shape': 'unknown', 'radius': None}, '66': {'shape': 'unknown', 'radius': None}, '67': {'shape': 'unknown', 'radius': None}, '68': {'shape': 'unknown', 'radius': None}, '69': {'shape': 'unknown', 'radius': None}, '70': {'shape': 'unknown', 'radius': None}, '71': {'shape': 'unknown', 'radius': None}, '72': {'shape': 'unknown', 'radius': None}, '73': {'shape': 'unknown', 'radius': None}, '74': {'shape': 'unknown', 'radius': None}, '75': {'shape': 'unknown', 'radius': None}, '76': {'shape': 'unknown', 'radius': None}, '77': {'shape': 'unknown', 'radius': None}, '78': {'shape': 'unknown', 'radius': None}, '79': {'shape': 'unknown', 'radius': None}, '80': {'shape': 'unknown', 'radius': None}, '81': {'shape': 'unknown', 'radius': None}, '82': {'shape': 'unknown', 'radius': None}, '83': {'shape': 'unknown', 'radius': None}, '84': {'shape': 'unknown', 'radius': None}, '85': {'shape': 'unknown', 'radius': None}, '86': {'shape': 'unknown', 'radius': None}, '87': {'shape': 'unknown', 'radius': None}, '88': {'shape': 'unknown', 'radius': None}, '89': {'shape': 'unknown', 'radius': None}, '90': {'shape': 'unknown', 'radius': None}, '91': {'shape': 'unknown', 'radius': None}, '92': {'shape': 'unknown', 'radius': None}, '93': {'shape': 'unknown', 'radius': None}, '94': {'shape': 'unknown', 'radius': None}, '95': {'shape': 'unknown', 'radius': None}, '96': {'shape': 'unknown', 'radius': None}, '97': {'shape': 'unknown', 'radius': None}, '98': {'shape': 'unknown', 'radius': None}, '99': {'shape': 'unknown', 'radius': None}, '100': {'shape': 'unknown', 'radius': None}, '101': {'shape': 'unknown', 'radius': None}, '102': {'shape': 'unknown', 'radius': None}, '103': {'shape': 'unknown', 'radius': None}, '104': {'shape': 'unknown', 'radius': None}, '105': {'shape': 'unknown', 'radius': None}, '106': {'shape': 'unknown', 'radius': None}, '107': {'shape': 'unknown', 'radius': None}, '108': {'shape': 'unknown', 'radius': None}, '109': {'shape': 'unknown', 'radius': None}, '110': {'shape': 'unknown', 'radius': None}, '111': {'shape': 'unknown', 'radius': None}, '112': {'shape': 'unknown', 'radius': None}, '113': {'shape': 'unknown', 'radius': None}, '114': {'shape': 'unknown', 'radius': None}, '115': {'shape': 'unknown', 'radius': None}, '116': {'shape': 'unknown', 'radius': None}, '117': {'shape': 'unknown', 'radius': None}, '118': {'shape': 'unknown', 'radius': None}, '119': {'shape': 'unknown', 'radius': None}, '120': {'shape': 'unknown', 'radius': None}, '121': {'shape': 'unknown', 'radius': None}, '122': {'shape': 'unknown', 'radius': None}, '123': {'shape': 'unknown', 'radius': None}, '124': {'shape': 'unknown', 'radius': None}, '125': {'shape': 'unknown', 'radius': None}, '126': {'shape': 'unknown', 'radius': None}, '127': {'shape': 'unknown', 'radius': None}, '128': {'shape': 'unknown', 'radius': None}, '129': {'shape': 'unknown', 'radius': None}, '130': {'shape': 'unknown', 'radius': None}, '131': {'shape': 'unknown', 'radius': None}, '132': {'shape': 'unknown', 'radius': None}, '133': {'shape': 'unknown', 'radius': None}, '134': {'shape': 'unknown', 'radius': None}, '135': {'shape': 'unknown', 'radius': None}, '136': {'shape': 'unknown', 'radius': None}, '137': {'shape': 'unknown', 'radius': None}, '138': {'shape': 'unknown', 'radius': None}, '139': {'shape': 'unknown', 'radius': None}, '140': {'shape': 'unknown', 'radius': None}, '141': {'shape': 'unknown', 'radius': None}, '142': {'shape': 'unknown', 'radius': None}, '143': {'shape': 'unknown', 'radius': None}, '144': {'shape': 'unknown', 'radius': None}, '145': {'shape': 'unknown', 'radius': None}, '146': {'shape': 'unknown', 'radius': None}, '147': {'shape': 'unknown', 'radius': None}, '148': {'shape': 'unknown', 'radius': None}, '149': {'shape': 'unknown', 'radius': None}, '150': {'shape': 'unknown', 'radius': None}, '151': {'shape': 'unknown', 'radius': None}, '152': {'shape': 'unknown', 'radius': None}, '153': {'shape': 'unknown', 'radius': None}, '154': {'shape': 'unknown', 'radius': None}, '155': {'shape': 'unknown', 'radius': None}, '156': {'shape': 'unknown', 'radius': None}, '157': {'shape': 'unknown', 'radius': None}, '158': {'shape': 'unknown', 'radius': None}, '159': {'shape': 'unknown', 'radius': None}, '160': {'shape': 'unknown', 'radius': None}, '161': {'shape': 'unknown', 'radius': None}, '162': {'shape': 'unknown', 'radius': None}, '163': {'shape': 'unknown', 'radius': None}, '164': {'shape': 'unknown', 'radius': None}, '165': {'shape': 'unknown', 'radius': None}, '166': {'shape': 'unknown', 'radius': None}, '167': {'shape': 'unknown', 'radius': None}, '168': {'shape': 'unknown', 'radius': None}, '169': {'shape': 'unknown', 'radius': None}, '170': {'shape': 'unknown', 'radius': None}, '171': {'shape': 'unknown', 'radius': None}, '172': {'shape': 'unknown', 'radius': None}, '173': {'shape': 'unknown', 'radius': None}, '174': {'shape': 'unknown', 'radius': None}, '175': {'shape': 'unknown', 'radius': None}, '176': {'shape': 'unknown', 'radius': None}, '177': {'shape': 'unknown', 'radius': None}, '178': {'shape': 'unknown', 'radius': None}, '179': {'shape': 'unknown', 'radius': None}, '180': {'shape': 'unknown', 'radius': None}, '181': {'shape': 'unknown', 'radius': None}, '182': {'shape': 'unknown', 'radius': None}, '183': 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'radius': None}, '228': {'shape': 'unknown', 'radius': None}, '229': {'shape': 'unknown', 'radius': None}, '230': {'shape': 'unknown', 'radius': None}, '231': {'shape': 'unknown', 'radius': None}, '232': {'shape': 'unknown', 'radius': None}, '233': {'shape': 'unknown', 'radius': None}, '234': {'shape': 'unknown', 'radius': None}, '235': {'shape': 'unknown', 'radius': None}, '236': {'shape': 'unknown', 'radius': None}, '237': {'shape': 'unknown', 'radius': None}, '238': {'shape': 'unknown', 'radius': None}, '239': {'shape': 'unknown', 'radius': None}, '240': {'shape': 'unknown', 'radius': None}, '241': {'shape': 'unknown', 'radius': None}, '242': {'shape': 'unknown', 'radius': None}, '243': {'shape': 'unknown', 'radius': None}, '244': {'shape': 'unknown', 'radius': None}, '245': {'shape': 'unknown', 'radius': None}, '246': {'shape': 'unknown', 'radius': None}, '247': {'shape': 'unknown', 'radius': None}, '248': {'shape': 'unknown', 'radius': None}, '249': {'shape': 'unknown', 'radius': None}, '250': {'shape': 'unknown', 'radius': None}, '251': {'shape': 'unknown', 'radius': None}, '252': {'shape': 'unknown', 'radius': None}, '253': {'shape': 'unknown', 'radius': None}, '254': {'shape': 'unknown', 'radius': None}, '255': {'shape': 'unknown', 'radius': None}}"}, {"fullname": "grib2io.tables.section4", "modulename": "grib2io.tables.section4", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4.table_4_1_0", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Temperature', '1': 'Moisture', '2': 'Momentum', '3': 'Mass', '4': 'Short-wave radiation', '5': 'Long-wave radiation', '6': 'Cloud', '7': 'Thermodynamic Stability indicies', '8': 'Kinematic Stability indicies', '9': 'Temperature Probabilities*', '10': 'Moisture Probabilities*', '11': 'Momentum Probabilities*', '12': 'Mass Probabilities*', '13': 'Aerosols', '14': 'Trace gases', '15': 'Radar', '16': 'Forecast Radar Imagery', '17': 'Electrodynamics', '18': 'Nuclear/radiology', '19': 'Physical atmospheric properties', '20': 'Atmospheric chemical Constituents', '21': 'Thermodynamic Properties', '22-189': 'Reserved', '190': 'CCITT IA5 string', '191': 'Miscellaneous', '192-254': 'Reserved for Local Use', '192': 'Covariance', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_1", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Hydrology basic products', '1': 'Hydrology probabilities', '2': 'Inland water and sediment properties', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_2", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Vegetation/Biomass', '1': 'Agricultural/Aquacultural Special Products', '2': 'Transportation-related Products', '3': 'Soil Products', '4': 'Fire Weather Products', '5': 'Land Surface Products', '6': 'Urban areas', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_3", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Image format products', '1': 'Quantitative products', '2': 'Cloud Properties', '3': 'Flight Rules Conditions', '4': 'Volcanic Ash', '5': 'Sea-surface Temperature', '6': 'Solar Radiation', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Forecast Satellite Imagery', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_4", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Temperature', '1': 'Momentum', '2': 'Charged Particle Mass and Number', '3': 'Electric and Magnetic Fields', '4': 'Energetic Particles', '5': 'Waves', '6': 'Solar Electromagnetic Emissions', '7': 'Terrestrial Electromagnetic Emissions', '8': 'Imagery', '9': 'Ion-Neutral Coupling', '10': 'Space Weather Indices', '11-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_10", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_10", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Waves', '1': 'Currents', '2': 'Ice', '3': 'Surface Properties', '4': 'Sub-surface Properties', '5-190': 'Reserved', '191': 'Miscellaneous', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_1_20", "modulename": "grib2io.tables.section4", "qualname": "table_4_1_20", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Health Indicators', '1': 'Epidemiology', '2': 'Socioeconomic indicators', '3': 'Renewable energy sector', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_0", "modulename": "grib2io.tables.section4", "qualname": "table_4_0", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.0)', '1': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.1)', '2': 'Derived forecasts based on all ensemble members at a horizontal level or in a horizontal layer at a point in time. (see Template 4.2)', '3': 'Derived forecasts based on a cluster of ensemble members over a rectangular area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.3)', '4': 'Derived forecasts based on a cluster of ensemble members over a circular area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.4)', '5': 'Probability forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.5)', '6': 'Percentile forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.6)', '7': 'Analysis or forecast error at a horizontal level or in a horizontal layer at a point in time. (see Template 4.7)', '8': 'Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.8)', '9': 'Probability forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.9)', '10': 'Percentile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.10)', '11': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.11)', '12': 'Derived forecasts based on all ensemble members at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.12)', '13': 'Derived forecasts based on a cluster of ensemble members over a rectangular area at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.13)', '14': 'Derived forecasts based on a cluster of ensemble members over a circular area at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.14)', '15': 'Average, accumulation, extreme values or other statistically-processed values over a spatial area at a horizontal level or in a horizontal layer at a point in time. (see Template 4.15)', '16-19': 'Reserved', '20': 'Radar product (see Template 4.20)', '21-29': 'Reserved', '30': 'Satellite product (see Template 4.30) NOTE: This template is deprecated. Template 4.31 should be used instead.', '31': 'Satellite product (see Template 4.31)', '32': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for simulate (synthetic) satellite data (see Template 4.32)', '33': 'Individual Ensemble Forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for simulated (synthetic) satellite data (see Template 4.33)', '34': 'Individual Ensemble Forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for simulated (synthetic) satellite data(see Template 4.34)', '35': 'Satellite product with or without associated quality values (see Template 4.35)', '36-39': 'Reserved', '40': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents. (see Template 4.40)', '41': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents. (see Template 4.41)', '42': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents. (see Template 4.42)', '43': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for atmospheric chemical constituents. (see Template 4.43)', '44': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for aerosol. (see Template 4.44)', '45': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for aerosol. (see Template 4.45)', '46': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol. (see Template 4.46)', '47': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval for aerosol. (see Template 4.47)', '48': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol. (see Template 4.48)', '49': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol. (see Template 4.49)', '50': 'Reserved', '51': 'Categorical forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.51)', '52': 'Reserved', '53': 'Partitioned parameters at a horizontal level or horizontal layer at a point in time. (see Template 4.53)', '54': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for partitioned parameters. (see Template 4.54)', '55': 'Spatio-temporal changing tiles at a horizontal level or horizontal layer at a point in time (see Template 4.55)', '56': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for spatio-temporal changing tile parameters (DEPRECATED) (see Template 4.56)', '57': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents based on a distribution function (see Template 4.57)', '58': 'Individual Ensemble Forecast, Control and Perturbed, at a horizontal level or in a horizontal layer at a point in time interval for Atmospheric Chemical Constituents based on a distribution function (see Template 4.58)', '59': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for spatio-temporal changing tile parameters (corrected version of template 4.56 - See Template 4.59)', '60': 'Individual Ensemble Reforecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.60)', '61': 'Individual Ensemble Reforecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval (see Template 4.61)', '62': 'Average, Accumulation and/or Extreme values or other Statistically-processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for spatio-temporal changing tiles at a horizontal level or horizontal layer at a point in time (see Template 4.62)', '63': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for spatio-temporal changing tiles (see Template 4.63)', '64-66': 'Reserved', '67': 'Average, accumulation and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents based on a distribution function (see Template 4.67)', '68': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents based on a distribution function. (see Template 4.68)', '69': 'Reserved', '70': 'Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a point in time. (see Template 4.70)', '71': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time. (see Template 4.71)', '72': 'Post-processing average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.72)', '73': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous time interval. (see Template 4.73)', '74-75': 'Reserved', '76': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents with source or sink. (see Template 4.76)', '77': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for atmospheric chemical constituents with source or sink. (see Template 4.77)', '78': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents with source or sink. (see Template 4.78)', '79': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for atmospheric chemical constituents with source or sink. (see Template 4.79)', '80': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol with source or sink. (see Template 4.80)', '81': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for optical properties of aerosol with source or sink. (see Template 4.81)', '82': 'Average, accumulation, and/or extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.82)', '83': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.83)', '84': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol with source or sink. (see Template 4.84)', '85': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for aerosol. (see Template 4.85)', '86': 'Quantile forecasts at a horizontal level or in a horizontal layer at a point in time. (see Template 4.86)', '87': 'Quantile forecasts at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.87)', '88': 'Analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.88)', '89-90': 'Reserved', '91': 'Categorical forecast at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval. (see Template 4.91)', '92': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.92)', '93': 'Post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.93)', '94': 'Post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.94)', '95': 'Average, accumulation, extreme values or other statiscally processed value at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.95)', '96': 'Average, accumulation, extreme values or other statistically processed values of an individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.96)', '97': 'Average, accumulation, extreme values or other statistically processed values of post-processing analysis or forecast at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.97)', '98': 'Average, accumulation, extreme values or other statistically processed values of a post-processing individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a specified local time. (see Template 4.98)', '99': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with explicit list of frequencies and directions (see Template 4.99)', '100': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with explicit list of frequencies and directions (see Template 4.100)', '101': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with frequencies and directions defined by formulae (see Template 4.101)', '102': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for wave 2D spectra with frequencies and directions defined by formulae (see Template 4.102)', '103': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for waves selected by period range (see Template 4.103)', '104': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for waves selected by period range (see Template 4.104)', '105': 'Anomalies, significance and other derived products from an analysis or forecast in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.105)', '106': 'Anomalies, significance and other derived products from an individual ensemble forecast, control and perturbed in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.106)', '107': 'Anomalies, significance and other derived products from derived forecasts based on all ensemble members in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.107)', '108': 'Analysis or forecast at a horizontal level or in a horizontal layer at a point in time for generic optical products (see Template 4.108)', '109': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer at a point in time for generic optical products (see Template 4.109)', '110': 'Average, accumulation, extreme values or other statistically processed values at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval for generic optical products (see Template 4.110)', '111': 'Individual ensemble forecast, control and perturbed, at a horizontal level or in a horizontal layer, in a continuous or non-continuous interval for generic optical products (see Template 4.111)', '112': 'Anomalies, significance and other derived products as probability forecasts in relation to a reference period at a horizontal level or in a horizontal layer in a continuous or non-continuous time interval (see Template 4.112)', '113-253': 'Reserved', '254': 'CCITT IA5 character string (see Template 4.254)', '255-999': 'Reserved', '1000': 'Cross-section of analysis and forecast at a point in time. (see Template 4.1000)', '1001': 'Cross-section of averaged or otherwise statistically processed analysis or forecast over a range of time. (see Template 4.1001)', '1002': 'Cross-section of analysis and forecast, averaged or otherwise statistically-processed over latitude or longitude. (see Template 4.1002)', '1003-1099': 'Reserved', '1100': 'Hovmoller-type grid with no averaging or other statistical processing (see Template 4.1100)', '1101': 'Hovmoller-type grid with averaging or other statistical processing (see Template 4.1101)', '1102-32767': 'Reserved', '32768-65534': 'Reserved for Local Use', '65535': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_3", "modulename": "grib2io.tables.section4", "qualname": "table_4_3", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Analysis', '1': 'Initialization', '2': 'Forecast', '3': 'Bias Corrected Forecast', '4': 'Ensemble Forecast', '5': 'Probability Forecast', '6': 'Forecast Error', '7': 'Analysis Error', '8': 'Observation', '9': 'Climatological', '10': 'Probability-Weighted Forecast', '11': 'Bias-Corrected Ensemble Forecast', '12': 'Post-processed Analysis (See Note)', '13': 'Post-processed Forecast (See Note)', '14': 'Nowcast', '15': 'Hindcast', '16': 'Physical Retrieval', '17': 'Regression Analysis', '18': 'Difference Between Two Forecasts', '19': 'First guess', '20': 'Analysis increment', '21': 'Initialization increment for analysis', '22-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Forecast Confidence Indicator', '193': 'Probability-matched Mean', '194': 'Neighborhood Probability', '195': 'Bias-Corrected and Downscaled Ensemble Forecast', '196': 'Perturbed Analysis for Ensemble Initialization', '197': 'Ensemble Agreement Scale Probability', '198': 'Post-Processed Deterministic-Expert-Weighted Forecast', '199': 'Ensemble Forecast Based on Counting', '200': 'Local Probability-matched Mean', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_4", "modulename": "grib2io.tables.section4", "qualname": "table_4_4", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Minute', '1': 'Hour', '2': 'Day', '3': 'Month', '4': 'Year', '5': 'Decade (10 Years)', '6': 'Normal (30 Years)', '7': 'Century (100 Years)', '8': 'Reserved', '9': 'Reserved', '10': '3 Hours', '11': '6 Hours', '12': '12 Hours', '13': 'Second', '14-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_5", "modulename": "grib2io.tables.section4", "qualname": "table_4_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Reserved', 'unknown'], '1': ['Ground or Water Surface', 'unknown'], '2': ['Cloud Base Level', 'unknown'], '3': ['Level of Cloud Tops', 'unknown'], '4': ['Level of 0o C Isotherm', 'unknown'], '5': ['Level of Adiabatic Condensation Lifted from the Surface', 'unknown'], '6': ['Maximum Wind Level', 'unknown'], '7': ['Tropopause', 'unknown'], '8': ['Nominal Top of the Atmosphere', 'unknown'], '9': ['Sea Bottom', 'unknown'], '10': ['Entire Atmosphere', 'unknown'], '11': ['Cumulonimbus Base (CB)', 'm'], '12': ['Cumulonimbus Top (CT)', 'm'], '13': ['Lowest level where vertically integrated cloud cover exceeds the specified percentage (cloud base for a given percentage cloud cover)', '%'], '14': ['Level of free convection (LFC)', 'unknown'], '15': ['Convection condensation level (CCL)', 'unknown'], '16': ['Level of neutral buoyancy or equilibrium (LNB)', 'unknown'], '17': ['Departure level of the most unstable parcel of air (MUDL)', 'unknown'], '18': ['Departure level of a mixed layer parcel of air with specified layer depth', 'Pa'], '19': ['Reserved', 'unknown'], '20': ['Isothermal Level', 'K'], '21': ['Lowest level where mass density exceeds the specified value (base for a given threshold of mass density)', 'kg m-3'], '22': ['Highest level where mass density exceeds the specified value (top for a given threshold of mass density)', 'kg m-3'], '23': ['Lowest level where air concentration exceeds the specified value (base for a given threshold of air concentration', 'Bq m-3'], '24': ['Highest level where air concentration exceeds the specified value (top for a given threshold of air concentration)', 'Bq m-3'], '25': ['Highest level where radar reflectivity exceeds the specified value (echo top for a given threshold of reflectivity)', 'dBZ'], '26': ['Convective cloud layer base', 'm'], '27': ['Convective cloud layer top', 'm'], '28-29': ['Reserved', 'unknown'], '30': ['Specified radius from the centre of the Sun', 'm'], '31': ['Solar photosphere', 'unknown'], '32': ['Ionospheric D-region level', 'unknown'], '33': ['Ionospheric E-region level', 'unknown'], '34': ['Ionospheric F1-region level', 'unknown'], '35': ['Ionospheric F2-region level', 'unknown'], '36-99': ['Reserved', 'unknown'], '100': ['Isobaric Surface', 'Pa'], '101': ['Mean Sea Level', 'unknown'], '102': ['Specific Altitude Above Mean Sea Level', 'm'], '103': ['Specified Height Level Above Ground', 'm'], '104': ['Sigma Level', 'unknown'], '105': ['Hybrid Level', 'unknown'], '106': ['Depth Below Land Surface', 'm'], '107': ['Isentropic (theta) Level', 'K'], '108': ['Level at Specified Pressure Difference from Ground to Level', 'Pa'], '109': ['Potential Vorticity Surface', 'K m2 kg-1 s-1'], '110': ['Reserved', 'unknown'], '111': ['Eta Level', 'unknown'], '112': ['Reserved', 'unknown'], '113': ['Logarithmic Hybrid Level', 'unknown'], '114': ['Snow Level', 'Numeric'], '115': ['Sigma height level', 'unknown'], '116': ['Reserved', 'unknown'], '117': ['Mixed Layer Depth', 'm'], '118': ['Hybrid Height Level', 'unknown'], '119': ['Hybrid Pressure Level', 'unknown'], '120-149': ['Reserved', 'unknown'], '150': ['Generalized Vertical Height Coordinate', 'unknown'], '151': ['Soil level', 'Numeric'], '152': ['Sea-ice level,(see Note 8)', 'Numeric'], '153-159': ['Reserved', 'unknown'], '160': ['Depth Below Sea Level', 'm'], '161': ['Depth Below Water Surface', 'm'], '162': ['Lake or River Bottom', 'unknown'], '163': ['Bottom Of Sediment Layer', 'unknown'], '164': ['Bottom Of Thermally Active Sediment Layer', 'unknown'], '165': ['Bottom Of Sediment Layer Penetrated By Thermal Wave', 'unknown'], '166': ['Mixing Layer', 'unknown'], '167': ['Bottom of Root Zone', 'unknown'], '168': ['Ocean Model Level', 'Numeric'], '169': ['Ocean level defined by water density (sigma-theta) difference from near-surface to level', 'kg m-3'], '170': ['Ocean level defined by water potential temperature difference from near-surface to level', 'K'], '171': ['Ocean level defined by vertical eddy diffusivity difference from near-surface to level', 'm2 s-1'], '172': ['Ocean level defined by water density (rho) difference from near-surface to level (*Tentatively accepted)', 'kg m-3'], '173': ['Top of Snow Over Sea Ice on Sea, Lake or River', 'unknown'], '174': ['Top Surface of Ice on Sea, Lake or River', 'unknown'], '175': ['Top Surface of Ice, under Snow, on Sea, Lake or River', 'unknown'], '176': ['Bottom Surface (underside) Ice on Sea, Lake or River', 'unknown'], '177': ['Deep Soil (of indefinite depth)', 'unknown'], '178': ['Reserved', 'unknown'], '179': ['Top Surface of Glacier Ice and Inland Ice', 'unknown'], '180': ['Deep Inland or Glacier Ice (of indefinite depth)', 'unknown'], '181': ['Grid Tile Land Fraction as a Model Surface', 'unknown'], '182': ['Grid Tile Water Fraction as a Model Surface', 'unknown'], '183': ['Grid Tile Ice Fraction on Sea, Lake or River as a Model Surface', 'unknown'], '184': ['Grid Tile Glacier Ice and Inland Ice Fraction as a Model Surface', 'unknown'], '185': ['Roof Level', 'unknown'], '186': ['Wall level', 'unknown'], '187': ['Road Level', 'unknown'], '188': ['Melt pond Top Surface', 'unknown'], '189': ['Melt Pond Bottom Surface', 'unknown'], '190-191': ['Reserved', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown'], '200': ['Entire atmosphere (considered as a single layer)', 'unknown'], '201': ['Entire ocean (considered as a single layer)', 'unknown'], '204': ['Highest tropospheric freezing level', 'unknown'], '206': ['Grid scale cloud bottom level', 'unknown'], '207': ['Grid scale cloud top level', 'unknown'], '209': ['Boundary layer cloud bottom level', 'unknown'], '210': ['Boundary layer cloud top level', 'unknown'], '211': ['Boundary layer cloud layer', 'unknown'], '212': ['Low cloud bottom level', 'unknown'], '213': ['Low cloud top level', 'unknown'], '214': ['Low cloud layer', 'unknown'], '215': ['Cloud ceiling', 'unknown'], '216': ['Effective Layer Top Level', 'm'], '217': ['Effective Layer Bottom Level', 'm'], '218': ['Effective Layer', 'm'], '220': ['Planetary Boundary Layer', 'unknown'], '221': ['Layer Between Two Hybrid Levels', 'unknown'], '222': ['Middle cloud bottom level', 'unknown'], '223': ['Middle cloud top level', 'unknown'], '224': ['Middle cloud layer', 'unknown'], '232': ['High cloud bottom level', 'unknown'], '233': ['High cloud top level', 'unknown'], '234': ['High cloud layer', 'unknown'], '235': ['Ocean Isotherm Level (1/10 \u00b0 C)', 'unknown'], '236': ['Layer between two depths below ocean surface', 'unknown'], '237': ['Bottom of Ocean Mixed Layer (m)', 'unknown'], '238': ['Bottom of Ocean Isothermal Layer (m)', 'unknown'], '239': ['Layer Ocean Surface and 26C Ocean Isothermal Level', 'unknown'], '240': ['Ocean Mixed Layer', 'unknown'], '241': ['Ordered Sequence of Data', 'unknown'], '242': ['Convective cloud bottom level', 'unknown'], '243': ['Convective cloud top level', 'unknown'], '244': ['Convective cloud layer', 'unknown'], '245': ['Lowest level of the wet bulb zero', 'unknown'], '246': ['Maximum equivalent potential temperature level', 'unknown'], '247': ['Equilibrium level', 'unknown'], '248': ['Shallow convective cloud bottom level', 'unknown'], '249': ['Shallow convective cloud top level', 'unknown'], '251': ['Deep convective cloud bottom level', 'unknown'], '252': ['Deep convective cloud top level', 'unknown'], '253': ['Lowest bottom level of supercooled liquid water layer', 'unknown'], '254': ['Highest top level of supercooled liquid water layer', 'unknown'], '255': ['Missing', 'unknown']}"}, {"fullname": "grib2io.tables.section4.table_4_6", "modulename": "grib2io.tables.section4", "qualname": "table_4_6", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Unperturbed High-Resolution Control Forecast', '1': 'Unperturbed Low-Resolution Control Forecast', '2': 'Negatively Perturbed Forecast', '3': 'Positively Perturbed Forecast', '4': 'Multi-Model Forecast', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Perturbed Ensemble Member', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_7", "modulename": "grib2io.tables.section4", "qualname": "table_4_7", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Unweighted Mean of All Members', '1': 'Weighted Mean of All Members', '2': 'Standard Deviation with respect to Cluster Mean', '3': 'Standard Deviation with respect to Cluster Mean, Normalized', '4': 'Spread of All Members', '5': 'Large Anomaly Index of All Members', '6': 'Unweighted Mean of the Cluster Members', '7': 'Interquartile Range (Range between the 25th and 75th quantile)', '8': 'Minimum Of All Ensemble Members', '9': 'Maximum Of All Ensemble Members', '10-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Unweighted Mode of All Members', '193': 'Percentile value (10%) of All Members', '194': 'Percentile value (50%) of All Members', '195': 'Percentile value (90%) of All Members', '196': 'Statistically decided weights for each ensemble member', '197': 'Climate Percentile (percentile values from climate distribution)', '198': 'Deviation of Ensemble Mean from Daily Climatology', '199': 'Extreme Forecast Index', '200': 'Equally Weighted Mean', '201': 'Percentile value (5%) of All Members', '202': 'Percentile value (25%) of All Members', '203': 'Percentile value (75%) of All Members', '204': 'Percentile value (95%) of All Members', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_8", "modulename": "grib2io.tables.section4", "qualname": "table_4_8", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Anomoly Correlation', '1': 'Root Mean Square', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_9", "modulename": "grib2io.tables.section4", "qualname": "table_4_9", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Probability of event below lower limit', '1': 'Probability of event above upper limit', '2': 'Probability of event between upper and lower limits (the range includes lower limit but no the upper limit)', '3': 'Probability of event above lower limit', '4': 'Probability of event below upper limit', '5': 'Probability of event equal to lower limit', '6': 'Probability of event in above normal category (see Notes 1 and 2)', '9-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_10", "modulename": "grib2io.tables.section4", "qualname": "table_4_10", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Average', '1': 'Accumulation', '2': 'Maximum', '3': 'Minimum', '4': 'Difference (value at the end of the time range minus value at the beginning)', '5': 'Root Mean Square', '6': 'Standard Deviation', '7': 'Covariance (temporal variance)', '8': 'Difference ( value at the beginning of the time range minus value at the end)', '9': 'Ratio', '10': 'Standardized Anomaly', '11': 'Summation', '12': 'Return period', '13-99': 'Reserved', '100': 'Severity', '101': 'Mode', '102-191': 'Reserved', '192-254': 'Reserved for Local Use', '192': 'Climatological Mean Value: multiple year averages of quantities which are themselves means over some period of time (P2) less than a year. The reference time (R) indicates the date and time of the start of a period of time, given by R to R + P2, over which a mean is formed; N indicates the number of such period-means that are averaged together to form the climatological value, assuming that the N period-mean fields are separated by one year. The reference time indicates the start of the N-year climatology. N is given in octets 22-23 of the PDS. If P1 = 0 then the data averaged in the basic interval P2 are assumed to be continuous, i.e., all available data are simply averaged together. If P1 = 1 (the units of time - octet 18, code table 4 - are not relevant here) then the data averaged together in the basic interval P2 are valid only at the time (hour, minute) given in the reference time, for all the days included in the P2 period. The units of P2 are given by the contents of octet 18 and Table 4.', '193': 'Average of N forecasts (or initialized analyses); each product has forecast period of P1 (P1=0 for initialized analyses); products have reference times at intervals of P2, beginning at the given reference time.', '194': 'Average of N uninitialized analyses, starting at reference time, at intervals of P2.', '195': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 24-hour intervals. Number in Ave = number of forecasts used.', '196': 'Average of successive forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at (P2 - P1) intervals. Number in Ave = number of forecasts used', '197': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 24-hour intervals. Number in Ave = number of forecast used', '198': 'Average of successive forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at (P2 - P1) intervals. Number in Ave = number of forecasts used', '199': 'Climatological Average of N analyses, each a year apart, starting from initial time R and for the period from R+P1 to R+P2.', '200': 'Climatological Average of N forecasts, each a year apart, starting from initial time R and for the period from R+P1 to R+P2.', '201': 'Climatological Root Mean Square difference between N forecasts and their verifying analyses, each a year apart, starting with initial time R and for the period from R+P1 to R+P2.', '202': 'Climatological Standard Deviation of N forecasts from the mean of the same N forecasts, for forecasts one year apart. The first forecast starts wtih initial time R and is for the period from R+P1 to R+P2.', '203': 'Climatological Standard Deviation of N analyses from the mean of the same N analyses, for analyses one year apart. The first analyses is valid for period R+P1 to R+P2.', '204': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 6-hour intervals. Number in Ave = number of forecast used', '205': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 6-hour intervals. Number in Ave = number of forecast used', '206': 'Average of forecast accumulations. P1 = start of accumulation period. P2 = end of accumulation period. Reference time is the start time of the first forecast, other forecasts at 12-hour intervals. Number in Ave = number of forecast used', '207': 'Average of forecast averages. P1 = start of averaging period. P2 = end of averaging period. Reference time is the start time of the first forecast, other forecasts at 12-hour intervals. Number in Ave = number of forecast used', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_11", "modulename": "grib2io.tables.section4", "qualname": "table_4_11", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Successive times processed have same forecast time, start time of forecast is incremented.', '2': 'Successive times processed have same start time of forecast, forecast time is incremented.', '3': 'Successive times processed have start time of forecast incremented and forecast time decremented so that valid time remains constant.', '4': 'Successive times processed have start time of forecast decremented and forecast time incremented so that valid time remains constant.', '5': 'Floating subinterval of time between forecast time and end of overall time interval.(see Note 1)', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_12", "modulename": "grib2io.tables.section4", "qualname": "table_4_12", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Mainteunknownce Mode', '1': 'Clear Air', '2': 'Precipitation', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_13", "modulename": "grib2io.tables.section4", "qualname": "table_4_13", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Quality Control Applied', '1': 'Quality Control Applied', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_14", "modulename": "grib2io.tables.section4", "qualname": "table_4_14", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Clutter Filter Used', '1': 'Clutter Filter Used', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_15", "modulename": "grib2io.tables.section4", "qualname": "table_4_15", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Data is calculated directly from the source grid with no interpolation', '1': 'Bilinear interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '2': 'Bicubic interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '3': 'Using the value from the source grid grid-point which is nearest to the nominal grid-point', '4': 'Budget interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '5': 'Spectral interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '6': 'Neighbor-budget interpolation using the 4 source grid grid-point values surrounding the nominal grid-point', '7-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_91", "modulename": "grib2io.tables.section4", "qualname": "table_4_91", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Smaller than first limit', '1': 'Greater than second limit', '2': 'Between first and second limit. The range includes the first limit but not the second limit.', '3': 'Greater than first limit', '4': 'Smaller than second limit', '5': 'Smaller or equal first limit', '6': 'Greater or equal second limit', '7': 'Between first and second limit. The range includes the first limit and the second limit.', '8': 'Greater or equal first limit', '9': 'Smaller or equal second limit', '10': 'Between first and second limit. The range includes the second limit but not the first limit.', '11': 'Equal to first limit', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_201", "modulename": "grib2io.tables.section4", "qualname": "table_4_201", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Rain', '2': 'Thunderstorm', '3': 'Freezing Rain', '4': 'Mixed/Ice', '5': 'Snow', '6': 'Wet Snow', '7': 'Mixture of Rain and Snow', '8': 'Ice Pellets', '9': 'Graupel', '10': 'Hail', '11': 'Drizzle', '12': 'Freezing Drizzle', '13-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_202", "modulename": "grib2io.tables.section4", "qualname": "table_4_202", "kind": "variable", "doc": "\n", "default_value": "{'0-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_203", "modulename": "grib2io.tables.section4", "qualname": "table_4_203", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Clear', '1': 'Cumulonimbus', '2': 'Stratus', '3': 'Stratocumulus', '4': 'Cumulus', '5': 'Altostratus', '6': 'Nimbostratus', '7': 'Altocumulus', '8': 'Cirrostratus', '9': 'Cirrorcumulus', '10': 'Cirrus', '11': 'Cumulonimbus - ground-based fog beneath the lowest layer', '12': 'Stratus - ground-based fog beneath the lowest layer', '13': 'Stratocumulus - ground-based fog beneath the lowest layer', '14': 'Cumulus - ground-based fog beneath the lowest layer', '15': 'Altostratus - ground-based fog beneath the lowest layer', '16': 'Nimbostratus - ground-based fog beneath the lowest layer', '17': 'Altocumulus - ground-based fog beneath the lowest layer', '18': 'Cirrostratus - ground-based fog beneath the lowest layer', '19': 'Cirrorcumulus - ground-based fog beneath the lowest layer', '20': 'Cirrus - ground-based fog beneath the lowest layer', '21-190': 'Reserved', '191': 'Unknown', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_204", "modulename": "grib2io.tables.section4", "qualname": "table_4_204", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Isolated (1-2%)', '2': 'Few (3-5%)', '3': 'Scattered (16-45%)', '4': 'Numerous (>45%)', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_205", "modulename": "grib2io.tables.section4", "qualname": "table_4_205", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Aerosol not present', '1': 'Aerosol present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_206", "modulename": "grib2io.tables.section4", "qualname": "table_4_206", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Not Present', '1': 'Present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_207", "modulename": "grib2io.tables.section4", "qualname": "table_4_207", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Light', '2': 'Moderate', '3': 'Severe', '4': 'Trace', '5': 'Heavy', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_208", "modulename": "grib2io.tables.section4", "qualname": "table_4_208", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Light', '2': 'Moderate', '3': 'Severe', '4': 'Extreme', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_209", "modulename": "grib2io.tables.section4", "qualname": "table_4_209", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Stable', '2': 'Mechanically-Driven Turbulence', '3': 'Force Convection', '4': 'Free Convection', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_210", "modulename": "grib2io.tables.section4", "qualname": "table_4_210", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Contrail Not Present', '1': 'Contrail Present', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_211", "modulename": "grib2io.tables.section4", "qualname": "table_4_211", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Low Bypass', '1': 'High Bypass', '2': 'Non-Bypass', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_212", "modulename": "grib2io.tables.section4", "qualname": "table_4_212", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Urban Land', '2': 'Agricultural', '3': 'Range Land', '4': 'Deciduous Forest', '5': 'Coniferous Forest', '6': 'Forest/Wetland', '7': 'Water', '8': 'Wetlands', '9': 'Desert', '10': 'Tundra', '11': 'Ice', '12': 'Tropical Forest', '13': 'Savannah', '14-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_213", "modulename": "grib2io.tables.section4", "qualname": "table_4_213", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Sand', '2': 'Loamy Sand', '3': 'Sandy Loam', '4': 'Silt Loam', '5': 'Organic', '6': 'Sandy Clay Loam', '7': 'Silt Clay Loam', '8': 'Clay Loam', '9': 'Sandy Clay', '10': 'Silty Clay', '11': 'Clay', '12-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_215", "modulename": "grib2io.tables.section4", "qualname": "table_4_215", "kind": "variable", "doc": "\n", "default_value": "{'0-49': 'Reserved', '50': 'No-Snow/No-Cloud', '51-99': 'Reserved', '100': 'Clouds', '101-249': 'Reserved', '250': 'Snow', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_216", "modulename": "grib2io.tables.section4", "qualname": "table_4_216", "kind": "variable", "doc": "\n", "default_value": "{'0-90': 'Elevation in increments of 100 m', '91-253': 'Reserved', '254': 'Clouds', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_217", "modulename": "grib2io.tables.section4", "qualname": "table_4_217", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Clear over water', '1': 'Clear over land', '2': 'Cloud', '3': 'No data', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_218", "modulename": "grib2io.tables.section4", "qualname": "table_4_218", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Scene Identified', '1': 'Green Needle-Leafed Forest', '2': 'Green Broad-Leafed Forest', '3': 'Deciduous Needle-Leafed Forest', '4': 'Deciduous Broad-Leafed Forest', '5': 'Deciduous Mixed Forest', '6': 'Closed Shrub-Land', '7': 'Open Shrub-Land', '8': 'Woody Savannah', '9': 'Savannah', '10': 'Grassland', '11': 'Permanent Wetland', '12': 'Cropland', '13': 'Urban', '14': 'Vegetation / Crops', '15': 'Permanent Snow / Ice', '16': 'Barren Desert', '17': 'Water Bodies', '18': 'Tundra', '19': 'Warm Liquid Water Cloud', '20': 'Supercooled Liquid Water Cloud', '21': 'Mixed Phase Cloud', '22': 'Optically Thin Ice Cloud', '23': 'Optically Thick Ice Cloud', '24': 'Multi-Layeblack Cloud', '25-96': 'Reserved', '97': 'Snow / Ice on Land', '98': 'Snow / Ice on Water', '99': 'Sun-Glint', '100': 'General Cloud', '101': 'Low Cloud / Fog / Stratus', '102': 'Low Cloud / Stratocumulus', '103': 'Low Cloud / Unknown Type', '104': 'Medium Cloud / Nimbostratus', '105': 'Medium Cloud / Altostratus', '106': 'Medium Cloud / Unknown Type', '107': 'High Cloud / Cumulus', '108': 'High Cloud / Cirrus', '109': 'High Cloud / Unknown Type', '110': 'Unknown Cloud Type', '111': 'Single layer water cloud', '112': 'Single layer ice cloud', '113-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_222", "modulename": "grib2io.tables.section4", "qualname": "table_4_222", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No', '1': 'Yes', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_223", "modulename": "grib2io.tables.section4", "qualname": "table_4_223", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Fire Detected', '1': 'Possible Fire Detected', '2': 'Probable Fire Detected', '3': 'Missing', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_224", "modulename": "grib2io.tables.section4", "qualname": "table_4_224", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Risk Area', '1': 'Reserved', '2': 'General Thunderstorm Risk Area', '3': 'Reserved', '4': 'Slight Risk Area', '5': 'Reserved', '6': 'Moderate Risk Area', '7': 'Reserved', '8': 'High Risk Area', '9-10': 'Reserved', '11': 'Dry Thunderstorm (Dry Lightning) Risk Area', '12-13': 'Reserved', '14': 'Critical Risk Area', '15-17': 'Reserved', '18': 'Extreamly Critical Risk Area', '19-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_227", "modulename": "grib2io.tables.section4", "qualname": "table_4_227", "kind": "variable", "doc": "\n", "default_value": "{'1': 'General', '2': 'Convective', '3': 'Stratiform', '4': 'Freezing', '5-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_228", "modulename": "grib2io.tables.section4", "qualname": "table_4_228", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Trace', '2': 'Light', '3': 'Moderate', '4': 'Severe', '6-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_233", "modulename": "grib2io.tables.section4", "qualname": "table_4_233", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Ozone', 'O3'], '1': ['Water Vapour', 'H2O'], '2': ['Methane', 'CH4'], '3': ['Carbon Dioxide', 'CO2'], '4': ['Carbon Monoxide', 'CO'], '5': ['Nitrogen Dioxide', 'NO2'], '6': ['Nitrous Oxide', 'N2O'], '7': ['Formaldehyde', 'HCHO'], '8': ['Sulphur Dioxide', 'SO2'], '9': ['Ammonia', 'NH3'], '10': ['Ammonium', 'NH4+'], '11': ['Nitrogen Monoxide', 'NO'], '12': ['Atomic Oxygen', 'O'], '13': ['Nitrate Radical', 'NO3'], '14': ['Hydroperoxyl Radical', 'HO2'], '15': ['Dinitrogen Pentoxide', 'H2O5'], '16': ['Nitrous Acid', 'HONO'], '17': ['Nitric Acid', 'HNO3'], '18': ['Peroxynitric Acid', 'HO2NO2'], '19': ['Hydrogen Peroxide', 'H2O2'], '20': ['Molecular Hydrogen', 'H'], '21': ['Atomic Nitrogen', 'N'], '22': ['Sulphate', 'SO42-'], '23': ['Radon', 'Rn'], '24': ['Elemental Mercury', 'Hg(O)'], '25': ['Divalent Mercury', 'Hg2+'], '26': ['Atomic Chlorine', 'Cl'], '27': ['Chlorine Monoxide', 'ClO'], '28': ['Dichlorine Peroxide', 'Cl2O2'], '29': ['Hypochlorous Acid', 'HClO'], '30': ['Chlorine Nitrate', 'ClONO2'], '31': ['Chlorine Dioxide', 'ClO2'], '32': ['Atomic Bromide', 'Br'], '33': ['Bromine Monoxide', 'BrO'], '34': ['Bromine Chloride', 'BrCl'], '35': ['Hydrogen Bromide', 'HBr'], '36': ['Hypobromous Acid', 'HBrO'], '37': ['Bromine Nitrate', 'BrONO2'], '38': ['Oxygen', 'O2'], '39-9999': ['Reserved', 'unknown'], '10000': ['Hydroxyl Radical', 'OH'], '10001': ['Methyl Peroxy Radical', 'CH3O2'], '10002': ['Methyl Hydroperoxide', 'CH3O2H'], '10003': ['Reserved', 'unknown'], '10004': ['Methanol', 'CH3OH'], '10005': ['Formic Acid', 'CH3OOH'], '10006': ['Hydrogen Cyanide', 'HCN'], '10007': ['Aceto Nitrile', 'CH3CN'], '10008': ['Ethane', 'C2H6'], '10009': ['Ethene (= Ethylene)', 'C2H4'], '10010': ['Ethyne (= Acetylene)', 'C2H2'], '10011': ['Ethanol', 'C2H5OH'], '10012': ['Acetic Acid', 'C2H5OOH'], '10013': ['Peroxyacetyl Nitrate', 'CH3C(O)OONO2'], '10014': ['Propane', 'C3H8'], '10015': ['Propene', 'C3H6'], '10016': ['Butanes', 'C4H10'], '10017': ['Isoprene', 'C5H10'], '10018': ['Alpha Pinene', 'C10H16'], '10019': ['Beta Pinene', 'C10H16'], '10020': ['Limonene', 'C10H16'], '10021': ['Benzene', 'C6H6'], '10022': ['Toluene', 'C7H8'], '10023': ['Xylene', 'C8H10'], '10024-10499': ['Reserved', 'unknown'], '10500': ['Dimethyl Sulphide', 'CH3SCH3'], '10501-20000': ['Reserved', 'unknown'], '20001': ['Hydrogen Chloride', 'HCL'], '20002': ['CFC-11', 'unknown'], '20003': ['CFC-12', 'unknown'], '20004': ['CFC-113', 'unknown'], '20005': ['CFC-113a', 'unknown'], '20006': ['CFC-114', 'unknown'], '20007': ['CFC-115', 'unknown'], '20008': ['HCFC-22', 'unknown'], '20009': ['HCFC-141b', 'unknown'], '20010': ['HCFC-142b', 'unknown'], '20011': ['Halon-1202', 'unknown'], '20012': ['Halon-1211', 'unknown'], '20013': ['Halon-1301', 'unknown'], '20014': ['Halon-2402', 'unknown'], '20015': ['Methyl Chloride (HCC-40)', 'unknown'], '20016': ['Carbon Tetrachloride (HCC-10)', 'unknown'], '20017': ['HCC-140a', 'CH3CCl3'], '20018': ['Methyl Bromide (HBC-40B1)', 'unknown'], '20019': ['Hexachlorocyclohexane (HCH)', 'unknown'], '20020': ['Alpha Hexachlorocyclohexane', 'unknown'], '20021': ['Hexachlorobiphenyl (PCB-153)', 'unknown'], '20022-29999': ['Reserved', 'unknown'], '30000': ['Radioactive Pollutant (Tracer, defined by originating centre)', 'unknown'], '30001-50000': ['Reserved', 'unknown'], '60000': ['HOx Radical (OH+HO2)', 'unknown'], '60001': ['Total Inorganic and Organic Peroxy Radicals (HO2+RO2)', 'RO2'], '60002': ['Passive Ozone', 'unknown'], '60003': ['NOx Expressed As Nitrogen', 'NOx'], '60004': ['All Nitrogen Oxides (NOy) Expressed As Nitrogen', 'NOy'], '60005': ['Total Inorganic Chlorine', 'Clx'], '60006': ['Total Inorganic Bromine', 'Brx'], '60007': ['Total Inorganic Chlorine Except HCl, ClONO2: ClOx', 'unknown'], '60008': ['Total Inorganic Bromine Except Hbr, BrONO2:BrOx', 'unknown'], '60009': ['Lumped Alkanes', 'unknown'], '60010': ['Lumped Alkenes', 'unknown'], '60011': ['Lumped Aromatic Coumpounds', 'unknown'], '60012': ['Lumped Terpenes', 'unknown'], '60013': ['Non-Methane Volatile Organic Compounds Expressed as Carbon', 'NMVOC'], '60014': ['Anthropogenic Non-Methane Volatile Organic Compounds Expressed as Carbon', 'aNMVOC'], '60015': ['Biogenic Non-Methane Volatile Organic Compounds Expressed as Carbon', 'bNMVOC'], '60016': ['Lumped Oxygenated Hydrocarbons', 'OVOC'], '60017-61999': ['Reserved', 'unknown'], '62000': ['Total Aerosol', 'unknown'], '62001': ['Dust Dry', 'unknown'], '62002': ['water In Ambient', 'unknown'], '62003': ['Ammonium Dry', 'unknown'], '62004': ['Nitrate Dry', 'unknown'], '62005': ['Nitric Acid Trihydrate', 'unknown'], '62006': ['Sulphate Dry', 'unknown'], '62007': ['Mercury Dry', 'unknown'], '62008': ['Sea Salt Dry', 'unknown'], '62009': ['Black Carbon Dry', 'unknown'], '62010': ['Particulate Organic Matter Dry', 'unknown'], '62011': ['Primary Particulate Organic Matter Dry', 'unknown'], '62012': ['Secondary Particulate Organic Matter Dry', 'unknown'], '62013': ['Black carbon hydrophilic dry', 'unknown'], '62014': ['Black carbon hydrophobic dry', 'unknown'], '62015': ['Particulate organic matter hydrophilic dry', 'unknown'], '62016': ['Particulate organic matter hydrophobic dry', 'unknown'], '62017': ['Nitrate hydrophilic dry', 'unknown'], '62018': ['Nitrate hydrophobic dry', 'unknown'], '62019': ['Reserved', 'unknown'], '62020': ['Smoke - high absorption', 'unknown'], '62021': ['Smoke - low absorption', 'unknown'], '62022': ['Aerosol - high absorption', 'unknown'], '62023': ['Aerosol - low absorption', 'unknown'], '62024': ['Reserved', 'unknown'], '62025': ['Volcanic ash', 'unknown'], '62036': ['Brown Carbon Dry', 'unknown'], '62037-65534': ['Reserved', 'unknown'], '65535': ['Missing', 'unknown']}"}, {"fullname": "grib2io.tables.section4.table_4_234", "modulename": "grib2io.tables.section4", "qualname": "table_4_234", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Crops, mixed farming', '2': 'Short grass', '3': 'Evergreen needleleaf trees', '4': 'Deciduous needleleaf trees', '5': 'Deciduous broadleaf trees', '6': 'Evergreen broadleaf trees', '7': 'Tall grass', '8': 'Desert', '9': 'Tundra', '10': 'Irrigated corps', '11': 'Semidesert', '12': 'Ice caps and glaciers', '13': 'Bogs and marshes', '14': 'Inland water', '15': 'Ocean', '16': 'Evergreen shrubs', '17': 'Deciduous shrubs', '18': 'Mixed forest', '19': 'Interrupted forest', '20': 'Water and land mixtures', '21-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_235", "modulename": "grib2io.tables.section4", "qualname": "table_4_235", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Total Wave Spectrum (combined wind waves and swell)', '1': 'Generalized Partition', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_236", "modulename": "grib2io.tables.section4", "qualname": "table_4_236", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Coarse', '2': 'Medium', '3': 'Medium-fine', '4': 'Fine', '5': 'Very-fine', '6': 'Organic', '7': 'Tropical-organic', '8-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_238", "modulename": "grib2io.tables.section4", "qualname": "table_4_238", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Aviation', '2': 'Lightning', '3': 'Biogenic Sources', '4': 'Anthropogenic sources', '5': 'Wild fires', '6': 'Natural sources', '7': 'Bio-fuel', '8': 'Volcanoes', '9': 'Fossil-fuel', '10': 'Wetlands', '11': 'Oceans', '12': 'Elevated anthropogenic sources', '13': 'Surface anthropogenic sources', '14': 'Agriculture livestock', '15': 'Agriculture soils', '16': 'Agriculture waste burning', '17': 'Agriculture (all)', '18': 'Residential, commercial and other combustion', '19': 'Power generation', '20': 'Super power stations', '21': 'Fugitives', '22': 'Industrial process', '23': 'Solvents', '24': 'Ships', '25': 'Wastes', '26': 'Road transportation', '27': 'Off-road transportation', '28-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_239", "modulename": "grib2io.tables.section4", "qualname": "table_4_239", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Bog', '2': 'Drained', '3': 'Fen', '4': 'Floodplain', '5': 'Mangrove', '6': 'Marsh', '7': 'Rice', '8': 'Riverine', '9': 'Salt Marsh', '10': 'Swamp', '11': 'Upland', '12': 'Wet tundra', '13-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_243", "modulename": "grib2io.tables.section4", "qualname": "table_4_243", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'Evergreen broadleaved forest', '2': 'Deciduous broadleaved closed forest', '3': 'Deciduous broadleaved open forest', '4': 'Evergreen needle-leaf forest', '5': 'Deciduous needle-leaf forest', '6': 'Mixed leaf trees', '7': 'Fresh water flooded trees', '8': 'Saline water flooded trees', '9': 'Mosaic tree/natural vegetation', '10': 'Burnt tree cover', '11': 'Evergreen shurbs closed-open', '12': 'Deciduous shurbs closed-open', '13': 'Herbaceous vegetation closed-open', '14': 'Sparse herbaceous or grass', '15': 'Flooded shurbs or herbaceous', '16': 'Cultivated and managed areas', '17': 'Mosaic crop/tree/natural vegetation', '18': 'Mosaic crop/shrub/grass', '19': 'Bare areas', '20': 'Water', '21': 'Snow and ice', '22': 'Artificial surface', '23': 'Ocean', '24': 'Irrigated croplands', '25': 'Rain fed croplands', '26': 'Mosaic cropland (50-70%)-vegetation (20-50%)', '27': 'Mosaic vegetation (50-70%)-cropland (20-50%)', '28': 'Closed broadleaved evergreen forest', '29': 'Closed needle-leaved evergreen forest', '30': 'Open needle-leaved deciduous forest', '31': 'Mixed broadleaved and needle-leave forest', '32': 'Mosaic shrubland (50-70%)-grassland (20-50%)', '33': 'Mosaic grassland (50-70%)-shrubland (20-50%)', '34': 'Closed to open shrubland', '35': 'Sparse vegetation', '36': 'Closed to open forest regularly flooded', '37': 'Closed forest or shrubland permanently flooded', '38': 'Closed to open grassland regularly flooded', '39': 'Undefined', '40-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_244", "modulename": "grib2io.tables.section4", "qualname": "table_4_244", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No Quality Information Available', '1': 'Failed', '2': 'Passed', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_246", "modulename": "grib2io.tables.section4", "qualname": "table_4_246", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No thunderstorm occurrence', '1': 'Weak thunderstorm', '2': 'Moderate thunderstorm', '3': 'Severe thunderstorm', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_247", "modulename": "grib2io.tables.section4", "qualname": "table_4_247", "kind": "variable", "doc": "\n", "default_value": "{'0': 'No precipitation occurrence', '1': 'Light precipitation', '2': 'Moderate precipitation', '3': 'Heavy precipitation', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_248", "modulename": "grib2io.tables.section4", "qualname": "table_4_248", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Nearest forecast or analysis time to specified local time', '1': 'Interpolated to be valid at the specified local time', '2-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_249", "modulename": "grib2io.tables.section4", "qualname": "table_4_249", "kind": "variable", "doc": "\n", "default_value": "{'1': 'Showers', '2': 'Intermittent', '3': 'Continuous', '4-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_250", "modulename": "grib2io.tables.section4", "qualname": "table_4_250", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Reserved', '1': 'South-West', '2': 'South', '3': 'South-East', '4': 'West', '5': 'No direction', '6': 'East', '7': 'North-West', '8': 'North', '9': 'North-East', '10-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_4_251", "modulename": "grib2io.tables.section4", "qualname": "table_4_251", "kind": "variable", "doc": "\n", "default_value": "{'0': 'Undefined Sequence', '1': 'Geometric sequence,(see Note 1)', '2': 'Arithmetic sequence,(see Note 2)', '3-191': 'Reserved', '192-254': 'Reserved for Local Use', '255': 'Missing'}"}, {"fullname": "grib2io.tables.section4.table_scale_time_hours", "modulename": "grib2io.tables.section4", "qualname": "table_scale_time_hours", "kind": "variable", "doc": "\n", "default_value": "{'0': 60.0, '1': 1.0, '2': 0.041666666666666664, '3': 0.001388888888888889, '4': 0.00011415525114155251, '5': 1.1415525114155251e-05, '6': 3.80517503805175e-06, '7': 1.1415525114155251e-06, '8': 1.0, '9': 1.0, '10': 3.0, '11': 6.0, '12': 12.0, '13': 3600.0, '14-255': 1.0}"}, {"fullname": "grib2io.tables.section4.table_wgrib2_level_string", "modulename": "grib2io.tables.section4", "qualname": "table_wgrib2_level_string", "kind": "variable", "doc": "\n", "default_value": "{'0': ['reserved', 'reserved'], '1': ['surface', 'reserved'], '2': ['cloud base', 'reserved'], '3': ['cloud top', 'reserved'], '4': ['0C isotherm', 'reserved'], '5': ['level of adiabatic condensation from sfc', 'reserved'], '6': ['max wind', 'reserved'], '7': ['tropopause', 'reserved'], '8': ['top of atmosphere', 'reserved'], '9': ['sea bottom', 'reserved'], '10': ['entire atmosphere', 'reserved'], '11': ['cumulonimbus base', 'reserved'], '12': ['cumulonimbus top', 'reserved'], '13': ['lowest level %g%% integrated cloud cover', 'reserved'], '14': ['level of free convection', 'reserved'], '15': ['convection condensation level', 'reserved'], '16': ['level of neutral buoyancy', 'reserved'], '17': ['reserved', 'reserved'], '18': ['reserved', 'reserved'], '19': ['reserved', 'reserved'], '20': ['%g K level', 'reserved'], '21': ['lowest level > %g kg/m^3', 'reserved'], '22': ['highest level > %g kg/m^3', 'reserved'], '23': ['lowest level > %g Bq/m^3', 'reserved'], '24': ['highest level > %g Bg/m^3', 'reserved'], '25': ['reserved', 'reserved'], '26': ['reserved', 'reserved'], '27': ['reserved', 'reserved'], '28': ['reserved', 'reserved'], '29': ['reserved', 'reserved'], '30': ['reserved', 'reserved'], '31': ['reserved', 'reserved'], '32': ['reserved', 'reserved'], '33': ['reserved', 'reserved'], '34': ['reserved', 'reserved'], '35': ['reserved', 'reserved'], '36': ['reserved', 'reserved'], '37': ['reserved', 'reserved'], '38': ['reserved', 'reserved'], '39': ['reserved', 'reserved'], '40': ['reserved', 'reserved'], '41': ['reserved', 'reserved'], '42': ['reserved', 'reserved'], '43': ['reserved', 'reserved'], '44': ['reserved', 'reserved'], '45': ['reserved', 'reserved'], '46': ['reserved', 'reserved'], '47': ['reserved', 'reserved'], '48': ['reserved', 'reserved'], '49': ['reserved', 'reserved'], '50': ['reserved', 'reserved'], '51': ['reserved', 'reserved'], '52': ['reserved', 'reserved'], '53': ['reserved', 'reserved'], '54': ['reserved', 'reserved'], '55': ['reserved', 'reserved'], '56': ['reserved', 'reserved'], '57': ['reserved', 'reserved'], '58': ['reserved', 'reserved'], '59': ['reserved', 'reserved'], '60': ['reserved', 'reserved'], '61': ['reserved', 'reserved'], '62': ['reserved', 'reserved'], '63': ['reserved', 'reserved'], '64': ['reserved', 'reserved'], '65': ['reserved', 'reserved'], '66': ['reserved', 'reserved'], '67': ['reserved', 'reserved'], '68': ['reserved', 'reserved'], '69': ['reserved', 'reserved'], '70': ['reserved', 'reserved'], '71': ['reserved', 'reserved'], '72': ['reserved', 'reserved'], '73': ['reserved', 'reserved'], '74': ['reserved', 'reserved'], '75': ['reserved', 'reserved'], '76': ['reserved', 'reserved'], '77': ['reserved', 'reserved'], '78': ['reserved', 'reserved'], '79': ['reserved', 'reserved'], '80': ['reserved', 'reserved'], '81': ['reserved', 'reserved'], '82': ['reserved', 'reserved'], '83': ['reserved', 'reserved'], '84': ['reserved', 'reserved'], '85': ['reserved', 'reserved'], '86': ['reserved', 'reserved'], '87': ['reserved', 'reserved'], '88': ['reserved', 'reserved'], '89': ['reserved', 'reserved'], '90': ['reserved', 'reserved'], '91': ['reserved', 'reserved'], '92': ['reserved', 'reserved'], '93': ['reserved', 'reserved'], '94': ['reserved', 'reserved'], '95': ['reserved', 'reserved'], '96': ['reserved', 'reserved'], '97': ['reserved', 'reserved'], '98': ['reserved', 'reserved'], '99': ['reserved', 'reserved'], '100': ['%g mb', '%g-%g mb'], '101': ['mean sea level', 'reserved'], '102': ['%g m above mean sea level', '%g-%g m above mean sea level'], '103': ['%g m above ground', '%g-%g m above ground'], '104': ['%g sigma level', '%g-%g sigma layer'], '105': ['%g hybrid level', '%g-%g hybrid layer'], '106': ['%g m underground', '%g-%g m underground'], '107': ['%g K isentropic level', '%g-%g K isentropic layer'], '108': ['%g mb above ground', '%g-%g mb above ground'], '109': ['PV=%g (Km^2/kg/s) surface', 'reserved'], '110': ['reserved', 'reserved'], '111': ['%g Eta level', '%g-%g Eta layer'], '112': ['reserved', 'reserved'], '113': ['%g logarithmic hybrid level', 'reserved'], '114': ['snow level', 'reserved'], '115': ['%g sigma height level', '%g-%g sigma heigh layer'], '116': ['reserved', 'reserved'], '117': ['mixed layer depth', 'reserved'], '118': ['%g hybrid height level', '%g-%g hybrid height layer'], '119': ['%g hybrid pressure level', '%g-%g hybrid pressure layer'], '120': ['reserved', 'reserved'], '121': ['reserved', 'reserved'], '122': ['reserved', 'reserved'], '123': ['reserved', 'reserved'], '124': ['reserved', 'reserved'], '125': ['reserved', 'reserved'], '126': ['reserved', 'reserved'], '127': ['reserved', 'reserved'], '128': ['reserved', 'reserved'], '129': ['reserved', 'reserved'], '130': ['reserved', 'reserved'], '131': ['reserved', 'reserved'], '132': ['reserved', 'reserved'], '133': ['reserved', 'reserved'], '134': ['reserved', 'reserved'], '135': ['reserved', 'reserved'], '136': ['reserved', 'reserved'], '137': ['reserved', 'reserved'], '138': ['reserved', 'reserved'], '139': ['reserved', 'reserved'], '140': ['reserved', 'reserved'], '141': ['reserved', 'reserved'], '142': ['reserved', 'reserved'], '143': ['reserved', 'reserved'], '144': ['reserved', 'reserved'], '145': ['reserved', 'reserved'], '146': ['reserved', 'reserved'], '147': ['reserved', 'reserved'], '148': ['reserved', 'reserved'], '149': ['reserved', 'reserved'], '150': ['%g generalized vertical height coordinate', 'reserved'], '151': ['soil level %g', 'reserved'], '152': ['reserved', 'reserved'], '153': ['reserved', 'reserved'], '154': ['reserved', 'reserved'], '155': ['reserved', 'reserved'], '156': ['reserved', 'reserved'], '157': ['reserved', 'reserved'], '158': ['reserved', 'reserved'], '159': ['reserved', 'reserved'], '160': ['%g m below sea level', '%g-%g m below sea level'], '161': ['%g m below water surface', '%g-%g m ocean layer'], '162': ['lake or river bottom', 'reserved'], '163': ['bottom of sediment layer', 'reserved'], '164': ['bottom of thermally active sediment layer', 'reserved'], '165': ['bottom of sediment layer penetrated by thermal wave', 'reserved'], '166': ['maxing layer', 'reserved'], '167': ['bottom of root zone', 'reserved'], '168': ['reserved', 'reserved'], '169': ['reserved', 'reserved'], '170': ['reserved', 'reserved'], '171': ['reserved', 'reserved'], '172': ['reserved', 'reserved'], '173': ['reserved', 'reserved'], '174': ['top surface of ice on sea, lake or river', 'reserved'], '175': ['top surface of ice, und snow on sea, lake or river', 'reserved'], '176': ['bottom surface ice on sea, lake or river', 'reserved'], '177': ['deep soil', 'reserved'], '178': ['reserved', 'reserved'], '179': ['top surface of glacier ice and inland ice', 'reserved'], '180': ['deep inland or glacier ice', 'reserved'], '181': ['grid tile land fraction as a model surface', 'reserved'], '182': ['grid tile water fraction as a model surface', 'reserved'], '183': ['grid tile ice fraction on sea, lake or river as a model surface', 'reserved'], '184': ['grid tile glacier ice and inland ice fraction as a model surface', 'reserved'], '185': ['reserved', 'reserved'], '186': ['reserved', 'reserved'], '187': ['reserved', 'reserved'], '188': ['reserved', 'reserved'], '189': ['reserved', 'reserved'], '190': ['reserved', 'reserved'], '191': ['reserved', 'reserved'], '192': ['reserved', 'reserved'], '193': ['reserved', 'reserved'], '194': ['reserved', 'reserved'], '195': ['reserved', 'reserved'], '196': ['reserved', 'reserved'], '197': ['reserved', 'reserved'], '198': ['reserved', 'reserved'], '199': ['reserved', 'reserved'], '200': ['entire atmosphere (considered as a single layer)', 'reserved'], '201': ['entire ocean (considered as a single layer)', 'reserved'], '202': ['reserved', 'reserved'], '203': ['reserved', 'reserved'], '204': ['highest tropospheric freezing level', 'reserved'], '205': ['reserved', 'reserved'], '206': ['grid scale cloud bottom level', 'reserved'], '207': ['grid scale cloud top level', 'reserved'], '208': ['reserved', 'reserved'], '209': ['boundary layer cloud bottom level', 'reserved'], '210': ['boundary layer cloud top level', 'reserved'], '211': ['boundary layer cloud layer', 'reserved'], '212': ['low cloud bottom level', 'reserved'], '213': ['low cloud top level', 'reserved'], '214': ['low cloud layer', 'reserved'], '215': ['cloud ceiling', 'reserved'], '216': ['reserved', 'reserved'], '217': ['reserved', 'reserved'], '218': ['reserved', 'reserved'], '219': ['reserved', 'reserved'], '220': ['planetary boundary layer', 'reserved'], '221': ['layer between two hybrid levels', 'reserved'], '222': ['middle cloud bottom level', 'reserved'], '223': ['middle cloud top level', 'reserved'], '224': ['middle cloud layer', 'reserved'], '225': ['reserved', 'reserved'], '226': ['reserved', 'reserved'], '227': ['reserved', 'reserved'], '228': ['reserved', 'reserved'], '229': ['reserved', 'reserved'], '230': ['reserved', 'reserved'], '231': ['reserved', 'reserved'], '232': ['high cloud bottom level', 'reserved'], '233': ['high cloud top level', 'reserved'], '234': ['high cloud layer', 'reserved'], '235': ['%gC ocean isotherm', '%g-%gC ocean isotherm layer'], '236': ['layer between two depths below ocean surface', '%g-%g m ocean layer'], '237': ['bottom of ocean mixed layer', 'reserved'], '238': ['bottom of ocean isothermal layer', 'reserved'], '239': ['layer ocean surface and 26C ocean isothermal level', 'reserved'], '240': ['ocean mixed layer', 'reserved'], '241': ['%g in sequence', 'reserved'], '242': ['convective cloud bottom level', 'reserved'], '243': ['convective cloud top level', 'reserved'], '244': ['convective cloud layer', 'reserved'], '245': ['lowest level of the wet bulb zero', 'reserved'], '246': ['maximum equivalent potential temperature level', 'reserved'], '247': ['equilibrium level', 'reserved'], '248': ['shallow convective cloud bottom level', 'reserved'], '249': ['shallow convective cloud top level', 'reserved'], '250': ['reserved', 'reserved'], '251': ['deep convective cloud bottom level', 'reserved'], '252': ['deep convective cloud top level', 'reserved'], '253': ['lowest bottom level of supercooled liquid water layer', 'reserved'], '254': ['highest top level of supercooled liquid water layer', 'reserved'], '255': ['missing', 'reserved']}"}, {"fullname": "grib2io.tables.section4_discipline0", "modulename": "grib2io.tables.section4_discipline0", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_0", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Temperature', 'K', 'TMP'], '1': ['Virtual Temperature', 'K', 'VTMP'], '2': ['Potential Temperature', 'K', 'POT'], '3': ['Pseudo-Adiabatic Potential Temperature (or Equivalent Potential Temperature)', 'K', 'EPOT'], '4': ['Maximum Temperature', 'K', 'TMAX'], '5': ['Minimum Temperature', 'K', 'TMIN'], '6': ['Dew Point Temperature', 'K', 'DPT'], '7': ['Dew Point Depression (or Deficit)', 'K', 'DEPR'], '8': ['Lapse Rate', 'K m-1', 'LAPR'], '9': ['Temperature Anomaly', 'K', 'TMPA'], '10': ['Latent Heat Net Flux', 'W m-2', 'LHTFL'], '11': ['Sensible Heat Net Flux', 'W m-2', 'SHTFL'], '12': ['Heat Index', 'K', 'HEATX'], '13': ['Wind Chill Factor', 'K', 'WCF'], '14': ['Minimum Dew Point Depression', 'K', 'MINDPD'], '15': ['Virtual Potential Temperature', 'K', 'VPTMP'], '16': ['Snow Phase Change Heat Flux', 'W m-2', 'SNOHF'], '17': ['Skin Temperature', 'K', 'SKINT'], '18': ['Snow Temperature (top of snow)', 'K', 'SNOT'], '19': ['Turbulent Transfer Coefficient for Heat', 'Numeric', 'TTCHT'], '20': ['Turbulent Diffusion Coefficient for Heat', 'm2s-1', 'TDCHT'], '21': ['Apparent Temperature', 'K', 'APTMP'], '22': ['Temperature Tendency due to Short-Wave Radiation', 'K s-1', 'TTSWR'], '23': ['Temperature Tendency due to Long-Wave Radiation', 'K s-1', 'TTLWR'], '24': ['Temperature Tendency due to Short-Wave Radiation, Clear Sky', 'K s-1', 'TTSWRCS'], '25': ['Temperature Tendency due to Long-Wave Radiation, Clear Sky', 'K s-1', 'TTLWRCS'], '26': ['Temperature Tendency due to parameterizations', 'K s-1', 'TTPARM'], '27': ['Wet Bulb Temperature', 'K', 'WETBT'], '28': ['Unbalanced Component of Temperature', 'K', 'UCTMP'], '29': ['Temperature Advection', 'K s-1', 'TMPADV'], '30': ['Latent Heat Net Flux Due to Evaporation', 'W m-2', 'LHFLXE'], '31': ['Latent Heat Net Flux Due to Sublimation', 'W m-2', 'LHFLXS'], '32': ['Wet-Bulb Potential Temperature', 'K', 'WETBPT'], '33-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Snow Phase Change Heat Flux', 'W m-2', 'SNOHF'], '193': ['Temperature Tendency by All Radiation', 'K s-1', 'TTRAD'], '194': ['Relative Error Variance', 'unknown', 'REV'], '195': ['Large Scale Condensate Heating Rate', 'K s-1', 'LRGHR'], '196': ['Deep Convective Heating Rate', 'K s-1', 'CNVHR'], '197': ['Total Downward Heat Flux at Surface', 'W m-2', 'THFLX'], '198': ['Temperature Tendency by All Physics', 'K s-1', 'TTDIA'], '199': ['Temperature Tendency by Non-radiation Physics', 'K s-1', 'TTPHY'], '200': ['Standard Dev. of IR Temp. over 1x1 deg. area', 'K', 'TSD1D'], '201': ['Shallow Convective Heating Rate', 'K s-1', 'SHAHR'], '202': ['Vertical Diffusion Heating rate', 'K s-1', 'VDFHR'], '203': ['Potential Temperature at Top of Viscous Sublayer', 'K', 'THZ0'], '204': ['Tropical Cyclone Heat Potential', 'J m-2 K', 'TCHP'], '205': ['Effective Layer (EL) Temperature', 'C', 'ELMELT'], '206': ['Wet Bulb Globe Temperature', 'K', 'WETGLBT'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_1", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Specific Humidity', 'kg kg-1', 'SPFH'], '1': ['Relative Humidity', '%', 'RH'], '2': ['Humidity Mixing Ratio', 'kg kg-1', 'MIXR'], '3': ['Precipitable Water', 'kg m-2', 'PWAT'], '4': ['Vapour Pressure', 'Pa', 'VAPP'], '5': ['Saturation Deficit', 'Pa', 'SATD'], '6': ['Evaporation', 'kg m-2', 'EVP'], '7': ['Precipitation Rate', 'kg m-2 s-1', 'PRATE'], '8': ['Total Precipitation', 'kg m-2', 'APCP'], '9': ['Large-Scale Precipitation (non-convective)', 'kg m-2', 'NCPCP'], '10': ['Convective Precipitation', 'kg m-2', 'ACPCP'], '11': ['Snow Depth', 'm', 'SNOD'], '12': ['Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'SRWEQ'], '13': ['Water Equivalent of Accumulated Snow Depth', 'kg m-2', 'WEASD'], '14': ['Convective Snow', 'kg m-2', 'SNOC'], '15': ['Large-Scale Snow', 'kg m-2', 'SNOL'], '16': ['Snow Melt', 'kg m-2', 'SNOM'], '17': ['Snow Age', 'day', 'SNOAG'], '18': ['Absolute Humidity', 'kg m-3', 'ABSH'], '19': ['Precipitation Type', 'See Table 4.201', 'PTYPE'], '20': ['Integrated Liquid Water', 'kg m-2', 'ILIQW'], '21': ['Condensate', 'kg kg-1', 'TCOND'], '22': ['Cloud Mixing Ratio', 'kg kg-1', 'CLMR'], '23': ['Ice Water Mixing Ratio', 'kg kg-1', 'ICMR'], '24': ['Rain Mixing Ratio', 'kg kg-1', 'RWMR'], '25': ['Snow Mixing Ratio', 'kg kg-1', 'SNMR'], '26': ['Horizontal Moisture Convergence', 'kg kg-1 s-1', 'MCONV'], '27': ['Maximum Relative Humidity', '%', 'MAXRH'], '28': ['Maximum Absolute Humidity', 'kg m-3', 'MAXAH'], '29': ['Total Snowfall', 'm', 'ASNOW'], '30': ['Precipitable Water Category', 'See Table 4.202', 'PWCAT'], '31': ['Hail', 'm', 'HAIL'], '32': ['Graupel', 'kg kg-1', 'GRLE'], '33': ['Categorical Rain', 'Code table 4.222', 'CRAIN'], '34': ['Categorical Freezing Rain', 'Code table 4.222', 'CFRZR'], '35': ['Categorical Ice Pellets', 'Code table 4.222', 'CICEP'], '36': ['Categorical Snow', 'Code table 4.222', 'CSNOW'], '37': ['Convective Precipitation Rate', 'kg m-2 s-1', 'CPRAT'], '38': ['Horizontal Moisture Divergence', 'kg kg-1 s-1', 'MDIVER'], '39': ['Percent frozen precipitation', '%', 'CPOFP'], '40': ['Potential Evaporation', 'kg m-2', 'PEVAP'], '41': ['Potential Evaporation Rate', 'W m-2', 'PEVPR'], '42': ['Snow Cover', '%', 'SNOWC'], '43': ['Rain Fraction of Total Cloud Water', 'Proportion', 'FRAIN'], '44': ['Rime Factor', 'Numeric', 'RIME'], '45': ['Total Column Integrated Rain', 'kg m-2', 'TCOLR'], '46': ['Total Column Integrated Snow', 'kg m-2', 'TCOLS'], '47': ['Large Scale Water Precipitation (Non-Convective)', 'kg m-2', 'LSWP'], '48': ['Convective Water Precipitation', 'kg m-2', 'CWP'], '49': ['Total Water Precipitation', 'kg m-2', 'TWATP'], '50': ['Total Snow Precipitation', 'kg m-2', 'TSNOWP'], '51': ['Total Column Water (Vertically integrated total water (vapour+cloud water/ice)', 'kg m-2', 'TCWAT'], '52': ['Total Precipitation Rate', 'kg m-2 s-1', 'TPRATE'], '53': ['Total Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'TSRWE'], '54': ['Large Scale Precipitation Rate', 'kg m-2 s-1', 'LSPRATE'], '55': ['Convective Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'CSRWE'], '56': ['Large Scale Snowfall Rate Water Equivalent', 'kg m-2 s-1', 'LSSRWE'], '57': ['Total Snowfall Rate', 'm s-1', 'TSRATE'], '58': ['Convective Snowfall Rate', 'm s-1', 'CSRATE'], '59': ['Large Scale Snowfall Rate', 'm s-1', 'LSSRATE'], '60': ['Snow Depth Water Equivalent', 'kg m-2', 'SDWE'], '61': ['Snow Density', 'kg m-3', 'SDEN'], '62': ['Snow Evaporation', 'kg m-2', 'SEVAP'], '63': ['Reserved', 'unknown', 'unknown'], '64': ['Total Column Integrated Water Vapour', 'kg m-2', 'TCIWV'], '65': ['Rain Precipitation Rate', 'kg m-2 s-1', 'RPRATE'], '66': ['Snow Precipitation Rate', 'kg m-2 s-1', 'SPRATE'], '67': ['Freezing Rain Precipitation Rate', 'kg m-2 s-1', 'FPRATE'], '68': ['Ice Pellets Precipitation Rate', 'kg m-2 s-1', 'IPRATE'], '69': ['Total Column Integrate Cloud Water', 'kg m-2', 'TCOLW'], '70': ['Total Column Integrate Cloud Ice', 'kg m-2', 'TCOLI'], '71': ['Hail Mixing Ratio', 'kg kg-1', 'HAILMXR'], '72': ['Total Column Integrate Hail', 'kg m-2', 'TCOLH'], '73': ['Hail Prepitation Rate', 'kg m-2 s-1', 'HAILPR'], '74': ['Total Column Integrate Graupel', 'kg m-2', 'TCOLG'], '75': ['Graupel (Snow Pellets) Prepitation Rate', 'kg m-2 s-1', 'GPRATE'], '76': ['Convective Rain Rate', 'kg m-2 s-1', 'CRRATE'], '77': ['Large Scale Rain Rate', 'kg m-2 s-1', 'LSRRATE'], '78': ['Total Column Integrate Water (All components including precipitation)', 'kg m-2', 'TCOLWA'], '79': ['Evaporation Rate', 'kg m-2 s-1', 'EVARATE'], '80': ['Total Condensate', 'kg kg-1', 'TOTCON'], '81': ['Total Column-Integrate Condensate', 'kg m-2', 'TCICON'], '82': ['Cloud Ice Mixing Ratio', 'kg kg-1', 'CIMIXR'], '83': ['Specific Cloud Liquid Water Content', 'kg kg-1', 'SCLLWC'], '84': ['Specific Cloud Ice Water Content', 'kg kg-1', 'SCLIWC'], '85': ['Specific Rain Water Content', 'kg kg-1', 'SRAINW'], '86': ['Specific Snow Water Content', 'kg kg-1', 'SSNOWW'], '87': ['Stratiform Precipitation Rate', 'kg m-2 s-1', 'STRPRATE'], '88': ['Categorical Convective Precipitation', 'Code table 4.222', 'CATCP'], '89': ['Reserved', 'unknown', 'unknown'], '90': ['Total Kinematic Moisture Flux', 'kg kg-1 m s-1', 'TKMFLX'], '91': ['U-component (zonal) Kinematic Moisture Flux', 'kg kg-1 m s-1', 'UKMFLX'], '92': ['V-component (meridional) Kinematic Moisture Flux', 'kg kg-1 m s-1', 'VKMFLX'], '93': ['Relative Humidity With Respect to Water', '%', 'RHWATER'], '94': ['Relative Humidity With Respect to Ice', '%', 'RHICE'], '95': ['Freezing or Frozen Precipitation Rate', 'kg m-2 s-1', 'FZPRATE'], '96': ['Mass Density of Rain', 'kg m-3', 'MASSDR'], '97': ['Mass Density of Snow', 'kg m-3', 'MASSDS'], '98': ['Mass Density of Graupel', 'kg m-3', 'MASSDG'], '99': ['Mass Density of Hail', 'kg m-3', 'MASSDH'], '100': ['Specific Number Concentration of Rain', 'kg-1', 'SPNCR'], '101': ['Specific Number Concentration of Snow', 'kg-1', 'SPNCS'], '102': ['Specific Number Concentration of Graupel', 'kg-1', 'SPNCG'], '103': ['Specific Number Concentration of Hail', 'kg-1', 'SPNCH'], '104': ['Number Density of Rain', 'm-3', 'NUMDR'], '105': ['Number Density of Snow', 'm-3', 'NUMDS'], '106': ['Number Density of Graupel', 'm-3', 'NUMDG'], '107': ['Number Density of Hail', 'm-3', 'NUMDH'], '108': ['Specific Humidity Tendency due to Parameterizations', 'kg kg-1 s-1', 'SHTPRM'], '109': ['Mass Density of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWHVA'], '110': ['Specific Mass of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWHMA'], '111': ['Mass Mixing Ratio of Liquid Water Coating on Hail Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWHDA'], '112': ['Mass Density of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWGVA'], '113': ['Specific Mass of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWGMA'], '114': ['Mass Mixing Ratio of Liquid Water Coating on Graupel Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWGDA'], '115': ['Mass Density of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Volume of Air', 'kg m-3', 'MDLWSVA'], '116': ['Specific Mass of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Mass of Moist Air', 'kg kg-1', 'SMLWSMA'], '117': ['Mass Mixing Ratio of Liquid Water Coating on Snow Expressed as Mass of Liquid Water per Unit Mass of Dry Air', 'kg kg-1', 'MMLWSDA'], '118': ['Unbalanced Component of Specific Humidity', 'kg kg-1', 'UNCSH'], '119': ['Unbalanced Component of Specific Cloud Liquid Water content', 'kg kg-1', 'UCSCLW'], '120': ['Unbalanced Component of Specific Cloud Ice Water content', 'kg kg-1', 'UCSCIW'], '121': ['Fraction of Snow Cover', 'Proportion', 'FSNOWC'], '122': ['Precipitation intensity index', 'See Table 4.247', 'PIIDX'], '123': ['Domiunknownt precipitation type', 'See Table 4.201', 'DPTYPE'], '124': ['Presence of showers', 'See Table 4.222', 'PSHOW'], '125': ['Presence of blowing snow', 'See Table 4.222', 'PBSNOW'], '126': ['Presence of blizzard', 'See Table 4.222', 'PBLIZZ'], '127': ['Ice pellets (non-water equivalent) precipitation rate', 'm s-1', 'ICEP'], '128': ['Total solid precipitation rate', 'kg m-2 s-1', 'TSPRATE'], '129': ['Effective Radius of Cloud Water', 'm', 'EFRCWAT'], '130': ['Effective Radius of Rain', 'm', 'EFRRAIN'], '131': ['Effective Radius of Cloud Ice', 'm', 'EFRCICE'], '132': ['Effective Radius of Snow', 'm', 'EFRSNOW'], '133': ['Effective Radius of Graupel', 'm', 'EFRGRL'], '134': ['Effective Radius of Hail', 'm', 'EFRHAIL'], '135': ['Effective Radius of Subgrid Liquid Clouds', 'm', 'EFRSLC'], '136': ['Effective Radius of Subgrid Ice Clouds', 'm', 'EFRSICEC'], '137': ['Effective Aspect Ratio of Rain', 'unknown', 'EFARRAIN'], '138': ['Effective Aspect Ratio of Cloud Ice', 'unknown', 'EFARCICE'], '139': ['Effective Aspect Ratio of Snow', 'unknown', 'EFARSNOW'], '140': ['Effective Aspect Ratio of Graupel', 'unknown', 'EFARGRL'], '141': ['Effective Aspect Ratio of Hail', 'unknown', 'EFARHAIL'], '142': ['Effective Aspect Ratio of Subgrid Ice Clouds', 'unknown', 'EFARSIC'], '143': ['Potential evaporation rate', 'kg m-2 s-1', 'PERATE'], '144': ['Specific rain water content (convective)', 'kg kg-1', 'SRWATERC'], '145': ['Specific snow water content (convective)', 'kg kg-1', 'SSNOWWC'], '146': ['Cloud ice precipitation rate', 'kg m-2 s-1', 'CICEPR'], '147': ['Character of precipitation', 'See Table 4.249', 'CHPRECIP'], '148': ['Snow evaporation rate', 'kg m-2 s-1', 'SNOWERAT'], '149': ['Cloud water mixing ratio', 'kg kg-1', 'CWATERMR'], '150': ['Column integrated eastward water vapour mass flux', 'kg m-1s-1', 'CEWVMF'], '151': ['Column integrated northward water vapour mass flux', 'kg m-1s-1', 'CNWVMF'], '152': ['Column integrated eastward cloud liquid water mass flux', 'kg m-1s-1', 'CECLWMF'], '153': ['Column integrated northward cloud liquid water mass flux', 'kg m-1s-1', 'CNCLWMF'], '154': ['Column integrated eastward cloud ice mass flux', 'kg m-1s-1', 'CECIMF'], '155': ['Column integrated northward cloud ice mass flux', 'kg m-1s-1', 'CNCIMF'], '156': ['Column integrated eastward rain mass flux', 'kg m-1s-1', 'CERMF'], '157': ['Column integrated northward rain mass flux', 'kg m-1s-1', 'CNRMF'], '158': ['Column integrated eastward snow mass flux', 'kg m-1s-1', 'CEFMF'], '159': ['Column integrated northward snow mass flux', 'kg m-1s-1', 'CNSMF'], '160': ['Column integrated divergence of water vapour mass flux', 'kg m-1s-1', 'CDWFMF'], '161': ['Column integrated divergence of cloud liquid water mass flux', 'kg m-1s-1', 'CDCLWMF'], '162': ['Column integrated divergence of cloud ice mass flux', 'kg m-1s-1', 'CDCIMF'], '163': ['Column integrated divergence of rain mass flux', 'kg m-1s-1', 'CDRMF'], '164': ['Column integrated divergence of snow mass flux', 'kg m-1s-1', 'CDSMF'], '165': ['Column integrated divergence of total water mass flux', 'kg m-1s-1', 'CDTWMF'], '166': ['Column integrated water vapour flux', 'kg m-1s-1', 'CWVF'], '167': ['Total column supercooled liquid water', 'kg m-2', 'TCSLW'], '168': ['Saturation specific humidity with respect to water', 'kg m-3', 'SSPFHW'], '169': ['Total column integrated saturation specific humidity with respect to water', 'kg m-2', 'TCISSPFHW'], '170-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Categorical Rain', 'Code table 4.222', 'CRAIN'], '193': ['Categorical Freezing Rain', 'Code table 4.222', 'CFRZR'], '194': ['Categorical Ice Pellets', 'Code table 4.222', 'CICEP'], '195': ['Categorical Snow', 'Code table 4.222', 'CSNOW'], '196': ['Convective Precipitation Rate', 'kg m-2 s-1', 'CPRAT'], '197': ['Horizontal Moisture Divergence', 'kg kg-1 s-1', 'MDIV'], '198': ['Minimum Relative Humidity', '%', 'MINRH'], '199': ['Potential Evaporation', 'kg m-2', 'PEVAP'], '200': ['Potential Evaporation Rate', 'W m-2', 'PEVPR'], '201': ['Snow Cover', '%', 'SNOWC'], '202': ['Rain Fraction of Total Liquid Water', 'non-dim', 'FRAIN'], '203': ['Rime Factor', 'non-dim', 'RIME'], '204': ['Total Column Integrated Rain', 'kg m-2', 'TCOLR'], '205': ['Total Column Integrated Snow', 'kg m-2', 'TCOLS'], '206': ['Total Icing Potential Diagnostic', 'non-dim', 'TIPD'], '207': ['Number concentration for ice particles', 'non-dim', 'NCIP'], '208': ['Snow temperature', 'K', 'SNOT'], '209': ['Total column-integrated supercooled liquid water', 'kg m-2', 'TCLSW'], '210': ['Total column-integrated melting ice', 'kg m-2', 'TCOLM'], '211': ['Evaporation - Precipitation', 'cm/day', 'EMNP'], '212': ['Sublimation (evaporation from snow)', 'W m-2', 'SBSNO'], '213': ['Deep Convective Moistening Rate', 'kg kg-1 s-1', 'CNVMR'], '214': ['Shallow Convective Moistening Rate', 'kg kg-1 s-1', 'SHAMR'], '215': ['Vertical Diffusion Moistening Rate', 'kg kg-1 s-1', 'VDFMR'], '216': ['Condensation Pressure of Parcali Lifted From Indicate Surface', 'Pa', 'CONDP'], '217': ['Large scale moistening rate', 'kg kg-1 s-1', 'LRGMR'], '218': ['Specific humidity at top of viscous sublayer', 'kg kg-1', 'QZ0'], '219': ['Maximum specific humidity at 2m', 'kg kg-1', 'QMAX'], '220': ['Minimum specific humidity at 2m', 'kg kg-1', 'QMIN'], '221': ['Liquid precipitation (Rainfall)', 'kg m-2', 'ARAIN'], '222': ['Snow temperature, depth-avg', 'K', 'SNOWT'], '223': ['Total precipitation (nearest grid point)', 'kg m-2', 'APCPN'], '224': ['Convective precipitation (nearest grid point)', 'kg m-2', 'ACPCPN'], '225': ['Freezing Rain', 'kg m-2', 'FRZR'], '226': ['Predominant Weather (see Local Use Note A)', 'Numeric', 'PWTHER'], '227': ['Frozen Rain', 'kg m-2', 'FROZR'], '228': ['Flat Ice Accumulation (FRAM)', 'kg m-2', 'FICEAC'], '229': ['Line Ice Accumulation (FRAM)', 'kg m-2', 'LICEAC'], '230': ['Sleet Accumulation', 'kg m-2', 'SLACC'], '231': ['Precipitation Potential Index', '%', 'PPINDX'], '232': ['Probability Cloud Ice Present', '%', 'PROBCIP'], '233': ['Snow Liquid ratio', 'kg kg-1', 'SNOWLR'], '234': ['Precipitation Duration', 'hour', 'PCPDUR'], '235': ['Cloud Liquid Mixing Ratio', 'kg kg-1', 'CLLMR'], '236-240': ['Reserved', 'unknown', 'unknown'], '241': ['Total Snow', 'kg m-2', 'TSNOW'], '242': ['Relative Humidity with Respect to Precipitable Water', '%', 'RHPW'], '245': ['Hourly Maximum of Column Vertical Integrated Graupel on Entire Atmosphere', 'kg m-2', 'MAXVIG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_2", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Wind Direction (from which blowing)', '\u00b0', 'WDIR'], '1': ['Wind Speed', 'm s-1', 'WIND'], '2': ['U-Component of Wind', 'm s-1', 'UGRD'], '3': ['V-Component of Wind', 'm s-1', 'VGRD'], '4': ['Stream Function', 'm2 s-1', 'STRM'], '5': ['Velocity Potential', 'm2 s-1', 'VPOT'], '6': ['Montgomery Stream Function', 'm2 s-2', 'MNTSF'], '7': ['Sigma Coordinate Vertical Velocity', 's-1', 'SGCVV'], '8': ['Vertical Velocity (Pressure)', 'Pa s-1', 'VVEL'], '9': ['Vertical Velocity (Geometric)', 'm s-1', 'DZDT'], '10': ['Absolute Vorticity', 's-1', 'ABSV'], '11': ['Absolute Divergence', 's-1', 'ABSD'], '12': ['Relative Vorticity', 's-1', 'RELV'], '13': ['Relative Divergence', 's-1', 'RELD'], '14': ['Potential Vorticity', 'K m2 kg-1 s-1', 'PVORT'], '15': ['Vertical U-Component Shear', 's-1', 'VUCSH'], '16': ['Vertical V-Component Shear', 's-1', 'VVCSH'], '17': ['Momentum Flux, U-Component', 'N m-2', 'UFLX'], '18': ['Momentum Flux, V-Component', 'N m-2', 'VFLX'], '19': ['Wind Mixing Energy', 'J', 'WMIXE'], '20': ['Boundary Layer Dissipation', 'W m-2', 'BLYDP'], '21': ['Maximum Wind Speed', 'm s-1', 'MAXGUST'], '22': ['Wind Speed (Gust)', 'm s-1', 'GUST'], '23': ['U-Component of Wind (Gust)', 'm s-1', 'UGUST'], '24': ['V-Component of Wind (Gust)', 'm s-1', 'VGUST'], '25': ['Vertical Speed Shear', 's-1', 'VWSH'], '26': ['Horizontal Momentum Flux', 'N m-2', 'MFLX'], '27': ['U-Component Storm Motion', 'm s-1', 'USTM'], '28': ['V-Component Storm Motion', 'm s-1', 'VSTM'], '29': ['Drag Coefficient', 'Numeric', 'CD'], '30': ['Frictional Velocity', 'm s-1', 'FRICV'], '31': ['Turbulent Diffusion Coefficient for Momentum', 'm2 s-1', 'TDCMOM'], '32': ['Eta Coordinate Vertical Velocity', 's-1', 'ETACVV'], '33': ['Wind Fetch', 'm', 'WINDF'], '34': ['Normal Wind Component', 'm s-1', 'NWIND'], '35': ['Tangential Wind Component', 'm s-1', 'TWIND'], '36': ['Amplitude Function for Rossby Wave Envelope for Meridional Wind', 'm s-1', 'AFRWE'], '37': ['Northward Turbulent Surface Stress', 'N m-2 s', 'NTSS'], '38': ['Eastward Turbulent Surface Stress', 'N m-2 s', 'ETSS'], '39': ['Eastward Wind Tendency Due to Parameterizations', 'm s-2', 'EWTPARM'], '40': ['Northward Wind Tendency Due to Parameterizations', 'm s-2', 'NWTPARM'], '41': ['U-Component of Geostrophic Wind', 'm s-1', 'UGWIND'], '42': ['V-Component of Geostrophic Wind', 'm s-1', 'VGWIND'], '43': ['Geostrophic Wind Direction', '\u00b0', 'GEOWD'], '44': ['Geostrophic Wind Speed', 'm s-1', 'GEOWS'], '45': ['Unbalanced Component of Divergence', 's-1', 'UNDIV'], '46': ['Vorticity Advection', 's-2', 'VORTADV'], '47': ['Surface roughness for heat,(see Note 5)', 'm', 'SFRHEAT'], '48': ['Surface roughness for moisture,(see Note 6)', 'm', 'SFRMOIST'], '49': ['Wind stress', 'N m-2', 'WINDSTR'], '50': ['Eastward wind stress', 'N m-2', 'EWINDSTR'], '51': ['Northward wind stress', 'N m-2', 'NWINDSTR'], '52': ['u-component of wind stress', 'N m-2', 'UWINDSTR'], '53': ['v-component of wind stress', 'N m-2', 'VWINDSTR'], '54': ['Natural logarithm of surface roughness length for heat', 'm', 'NLSRLH'], '55': ['Natural logarithm of surface roughness length for moisture', 'm', 'NLSRLM'], '56': ['u-component of neutral wind', 'm s-1', 'UNWIND'], '57': ['v-component of neutral wind', 'm s-1', 'VNWIND'], '58': ['Magnitude of turbulent surface stress', 'N m-2', 'TSFCSTR'], '59': ['Vertical divergence', 's-1', 'VDIV'], '60': ['Drag thermal coefficient', 'Numeric', 'DTC'], '61': ['Drag evaporation coefficient', 'Numeric', 'DEC'], '62': ['Eastward turbulent surface stress', 'N m-2', 'EASTTSS'], '63': ['Northward turbulent surface stress', 'N m-2', 'NRTHTSS'], '64': ['Eastward turbulent surface stress due to orographic form drag', 'N m-2', 'EASTTSSOD'], '65': ['Northward turbulent surface stress due to orographic form drag', 'N m-2', 'NRTHTSSOD'], '66': ['Eastward turbulent surface stress due to surface roughness', 'N m-2', 'EASTTSSSR'], '67': ['Northward turbulent surface stress due to surface roughness', 'N m-2', 'NRTHTSSSR'], '68-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Vertical Speed Shear', 's-1', 'VWSH'], '193': ['Horizontal Momentum Flux', 'N m-2', 'MFLX'], '194': ['U-Component Storm Motion', 'm s-1', 'USTM'], '195': ['V-Component Storm Motion', 'm s-1', 'VSTM'], '196': ['Drag Coefficient', 'non-dim', 'CD'], '197': ['Frictional Velocity', 'm s-1', 'FRICV'], '198': ['Latitude of U Wind Component of Velocity', 'deg', 'LAUV'], '199': ['Longitude of U Wind Component of Velocity', 'deg', 'LOUV'], '200': ['Latitude of V Wind Component of Velocity', 'deg', 'LAVV'], '201': ['Longitude of V Wind Component of Velocity', 'deg', 'LOVV'], '202': ['Latitude of Presure Point', 'deg', 'LAPP'], '203': ['Longitude of Presure Point', 'deg', 'LOPP'], '204': ['Vertical Eddy Diffusivity Heat exchange', 'm2 s-1', 'VEDH'], '205': ['Covariance between Meridional and Zonal Components of the wind.', 'm2 s-2', 'COVMZ'], '206': ['Covariance between Temperature and Zonal Components of the wind.', 'K*m s-1', 'COVTZ'], '207': ['Covariance between Temperature and Meridional Components of the wind.', 'K*m s-1', 'COVTM'], '208': ['Vertical Diffusion Zonal Acceleration', 'm s-2', 'VDFUA'], '209': ['Vertical Diffusion Meridional Acceleration', 'm s-2', 'VDFVA'], '210': ['Gravity wave drag zonal acceleration', 'm s-2', 'GWDU'], '211': ['Gravity wave drag meridional acceleration', 'm s-2', 'GWDV'], '212': ['Convective zonal momentum mixing acceleration', 'm s-2', 'CNVU'], '213': ['Convective meridional momentum mixing acceleration', 'm s-2', 'CNVV'], '214': ['Tendency of vertical velocity', 'm s-2', 'WTEND'], '215': ['Omega (Dp/Dt) divide by density', 'K', 'OMGALF'], '216': ['Convective Gravity wave drag zonal acceleration', 'm s-2', 'CNGWDU'], '217': ['Convective Gravity wave drag meridional acceleration', 'm s-2', 'CNGWDV'], '218': ['Velocity Point Model Surface', 'unknown', 'LMV'], '219': ['Potential Vorticity (Mass-Weighted)', '1/s/m', 'PVMWW'], '220': ['Hourly Maximum of Upward Vertical Velocity', 'm s-1', 'MAXUVV'], '221': ['Hourly Maximum of Downward Vertical Velocity', 'm s-1', 'MAXDVV'], '222': ['U Component of Hourly Maximum 10m Wind Speed', 'm s-1', 'MAXUW'], '223': ['V Component of Hourly Maximum 10m Wind Speed', 'm s-1', 'MAXVW'], '224': ['Ventilation Rate', 'm2 s-1', 'VRATE'], '225': ['Transport Wind Speed', 'm s-1', 'TRWSPD'], '226': ['Transport Wind Direction', 'Deg', 'TRWDIR'], '227': ['Earliest Reasonable Arrival Time (10% exceedance)', 's', 'TOA10'], '228': ['Most Likely Arrival Time (50% exceedance)', 's', 'TOA50'], '229': ['Most Likely Departure Time (50% exceedance)', 's', 'TOD50'], '230': ['Latest Reasonable Departure Time (90% exceedance)', 's', 'TOD90'], '231': ['Tropical Wind Direction', '\u00b0', 'TPWDIR'], '232': ['Tropical Wind Speed', 'm s-1', 'TPWSPD'], '233': ['Inflow Based (ESFC) to 50% EL Shear Magnitude', 'kt', 'ESHR'], '234': ['U Component Inflow Based to 50% EL Shear Vector', 'kt', 'UESH'], '235': ['V Component Inflow Based to 50% EL Shear Vector', 'kt', 'VESH'], '236': ['U Component Bunkers Effective Right Motion', 'kt', 'UEID'], '237': ['V Component Bunkers Effective Right Motion', 'kt', 'VEID'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_3", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Pressure', 'Pa', 'PRES'], '1': ['Pressure Reduced to MSL', 'Pa', 'PRMSL'], '2': ['Pressure Tendency', 'Pa s-1', 'PTEND'], '3': ['ICAO Standard Atmosphere Reference Height', 'm', 'ICAHT'], '4': ['Geopotential', 'm2 s-2', 'GP'], '5': ['Geopotential Height', 'gpm', 'HGT'], '6': ['Geometric Height', 'm', 'DIST'], '7': ['Standard Deviation of Height', 'm', 'HSTDV'], '8': ['Pressure Anomaly', 'Pa', 'PRESA'], '9': ['Geopotential Height Anomaly', 'gpm', 'GPA'], '10': ['Density', 'kg m-3', 'DEN'], '11': ['Altimeter Setting', 'Pa', 'ALTS'], '12': ['Thickness', 'm', 'THICK'], '13': ['Pressure Altitude', 'm', 'PRESALT'], '14': ['Density Altitude', 'm', 'DENALT'], '15': ['5-Wave Geopotential Height', 'gpm', '5WAVH'], '16': ['Zonal Flux of Gravity Wave Stress', 'N m-2', 'U-GWD'], '17': ['Meridional Flux of Gravity Wave Stress', 'N m-2', 'V-GWD'], '18': ['Planetary Boundary Layer Height', 'm', 'HPBL'], '19': ['5-Wave Geopotential Height Anomaly', 'gpm', '5WAVA'], '20': ['Standard Deviation of Sub-Grid Scale Orography', 'm', 'SDSGSO'], '21': ['Angle of Sub-Grid Scale Orography', 'rad', 'AOSGSO'], '22': ['Slope of Sub-Grid Scale Orography', 'Numeric', 'SSGSO'], '23': ['Gravity Wave Dissipation', 'W m-2', 'GWD'], '24': ['Anisotropy of Sub-Grid Scale Orography', 'Numeric', 'ASGSO'], '25': ['Natural Logarithm of Pressure in Pa', 'Numeric', 'NLPRES'], '26': ['Exner Pressure', 'Numeric', 'EXPRES'], '27': ['Updraught Mass Flux', 'kg m-2 s-1', 'UMFLX'], '28': ['Downdraught Mass Flux', 'kg m-2 s-1', 'DMFLX'], '29': ['Updraught Detrainment Rate', 'kg m-3 s-1', 'UDRATE'], '30': ['Downdraught Detrainment Rate', 'kg m-3 s-1', 'DDRATE'], '31': ['Unbalanced Component of Logarithm of Surface Pressure', '-', 'UCLSPRS'], '32': ['Saturation water vapour pressure', 'Pa', 'SWATERVP'], '33': ['Geometric altitude above mean sea level', 'm', 'GAMSL'], '34': ['Geometric height above ground level', 'm', 'GHAGRD'], '35': ['Column integrated divergence of total mass flux', 'kg m-2 s-1', 'CDTMF'], '36': ['Column integrated eastward total mass flux', 'kg m-2 s-1', 'CETMF'], '37': ['Column integrated northward total mass flux', 'kg m-2 s-1', 'CNTMF'], '38': ['Standard deviation of filtered subgrid orography', 'm', 'SDFSO'], '39': ['Column integrated mass of atmosphere', 'kg m-2 s-1', 'CMATMOS'], '40': ['Column integrated eastward geopotential flux', 'W m-1', 'CEGFLUX'], '41': ['Column integrated northward geopotential flux', 'W m-1', 'CNGFLUX'], '42': ['Column integrated divergence of water geopotential flux', 'W m-2', 'CDWGFLUX'], '43': ['Column integrated divergence of geopotential flux', 'W m-2', 'CDGFLUX'], '44': ['Height of zero-degree wet-bulb temperature', 'm', 'HWBT'], '45': ['Height of one-degree wet-bulb temperature', 'm', 'WOBT'], '46': ['Pressure departure from hydrostatic state', 'Pa', 'PRESDHS'], '47-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['MSLP (Eta model reduction)', 'Pa', 'MSLET'], '193': ['5-Wave Geopotential Height', 'gpm', '5WAVH'], '194': ['Zonal Flux of Gravity Wave Stress', 'N m-2', 'U-GWD'], '195': ['Meridional Flux of Gravity Wave Stress', 'N m-2', 'V-GWD'], '196': ['Planetary Boundary Layer Height', 'm', 'HPBL'], '197': ['5-Wave Geopotential Height Anomaly', 'gpm', '5WAVA'], '198': ['MSLP (MAPS System Reduction)', 'Pa', 'MSLMA'], '199': ['3-hr pressure tendency (Std. Atmos. Reduction)', 'Pa s-1', 'TSLSA'], '200': ['Pressure of level from which parcel was lifted', 'Pa', 'PLPL'], '201': ['X-gradient of Log Pressure', 'm-1', 'LPSX'], '202': ['Y-gradient of Log Pressure', 'm-1', 'LPSY'], '203': ['X-gradient of Height', 'm-1', 'HGTX'], '204': ['Y-gradient of Height', 'm-1', 'HGTY'], '205': ['Layer Thickness', 'm', 'LAYTH'], '206': ['Natural Log of Surface Pressure', 'ln (kPa)', 'NLGSP'], '207': ['Convective updraft mass flux', 'kg m-2 s-1', 'CNVUMF'], '208': ['Convective downdraft mass flux', 'kg m-2 s-1', 'CNVDMF'], '209': ['Convective detrainment mass flux', 'kg m-2 s-1', 'CNVDEMF'], '210': ['Mass Point Model Surface', 'unknown', 'LMH'], '211': ['Geopotential Height (nearest grid point)', 'gpm', 'HGTN'], '212': ['Pressure (nearest grid point)', 'Pa', 'PRESN'], '213': ['Orographic Convexity', 'unknown', 'ORCONV'], '214': ['Orographic Asymmetry, W Component', 'unknown', 'ORASW'], '215': ['Orographic Asymmetry, S Component', 'unknown', 'ORASS'], '216': ['Orographic Asymmetry, SW Component', 'unknown', 'ORASSW'], '217': ['Orographic Asymmetry, NW Component', 'unknown', 'ORASNW'], '218': ['Orographic Length Scale, W Component', 'unknown', 'ORLSW'], '219': ['Orographic Length Scale, S Component', 'unknown', 'ORLSS'], '220': ['Orographic Length Scale, SW Component', 'unknown', 'ORLSSW'], '221': ['Orographic Length Scale, NW Component', 'unknown', 'ORLSNW'], '222': ['Effective Surface Height', 'm', 'EFSH'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_4", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Net Short-Wave Radiation Flux (Surface)', 'W m-2', 'NSWRS'], '1': ['Net Short-Wave Radiation Flux (Top of Atmosphere)', 'W m-2', 'NSWRT'], '2': ['Short-Wave Radiation Flux', 'W m-2', 'SWAVR'], '3': ['Global Radiation Flux', 'W m-2', 'GRAD'], '4': ['Brightness Temperature', 'K', 'BRTMP'], '5': ['Radiance (with respect to wave number)', 'W m-1 sr-1', 'LWRAD'], '6': ['Radiance (with respect to wavelength)', 'W m-3 sr-1', 'SWRAD'], '7': ['Downward Short-Wave Radiation Flux', 'W m-2', 'DSWRF'], '8': ['Upward Short-Wave Radiation Flux', 'W m-2', 'USWRF'], '9': ['Net Short Wave Radiation Flux', 'W m-2', 'NSWRF'], '10': ['Photosynthetically Active Radiation', 'W m-2', 'PHOTAR'], '11': ['Net Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'NSWRFCS'], '12': ['Downward UV Radiation', 'W m-2', 'DWUVR'], '13': ['Direct Short Wave Radiation Flux', 'W m-2', 'DSWRFLX'], '14': ['Diffuse Short Wave Radiation Flux', 'W m-2', 'DIFSWRF'], '15': ['Upward UV radiation emitted/reflected from the Earths surface', 'W m-2', 'UVVEARTH'], '16-49': ['Reserved', 'unknown', 'unknown'], '50': ['UV Index (Under Clear Sky)', 'Numeric', 'UVIUCS'], '51': ['UV Index', 'Numeric', 'UVI'], '52': ['Downward Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'DSWRFCS'], '53': ['Upward Short-Wave Radiation Flux, Clear Sky', 'W m-2', 'USWRFCS'], '54': ['Direct normal short-wave radiation flux,(see Note 3)', 'W m-2', 'DNSWRFLX'], '55': ['UV visible albedo for diffuse radiation', '%', 'UVALBDIF'], '56': ['UV visible albedo for direct radiation', '%', 'UVALBDIR'], '57': ['UV visible albedo for direct radiation, geometric component', '%', 'UBALBDIRG'], '58': ['UV visible albedo for direct radiation, isotropic component', '%', 'UVALBDIRI'], '59': ['UV visible albedo for direct radiation, volumetric component', '%', 'UVBDIRV'], '60': ['Photosynthetically active radiation flux, clear sky', 'W m-2', 'PHOARFCS'], '61': ['Direct short-wave radiation flux, clear sky', 'W m-2', 'DSWRFLXCS'], '62-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Downward Short-Wave Radiation Flux', 'W m-2', 'DSWRF'], '193': ['Upward Short-Wave Radiation Flux', 'W m-2', 'USWRF'], '194': ['UV-B Downward Solar Flux', 'W m-2', 'DUVB'], '195': ['Clear sky UV-B Downward Solar Flux', 'W m-2', 'CDUVB'], '196': ['Clear Sky Downward Solar Flux', 'W m-2', 'CSDSF'], '197': ['Solar Radiative Heating Rate', 'K s-1', 'SWHR'], '198': ['Clear Sky Upward Solar Flux', 'W m-2', 'CSUSF'], '199': ['Cloud Forcing Net Solar Flux', 'W m-2', 'CFNSF'], '200': ['Visible Beam Downward Solar Flux', 'W m-2', 'VBDSF'], '201': ['Visible Diffuse Downward Solar Flux', 'W m-2', 'VDDSF'], '202': ['Near IR Beam Downward Solar Flux', 'W m-2', 'NBDSF'], '203': ['Near IR Diffuse Downward Solar Flux', 'W m-2', 'NDDSF'], '204': ['Downward Total Radiation Flux', 'W m-2', 'DTRF'], '205': ['Upward Total Radiation Flux', 'W m-2', 'UTRF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_5", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Net Long-Wave Radiation Flux (Surface)', 'W m-2', 'NLWRS'], '1': ['Net Long-Wave Radiation Flux (Top of Atmosphere)', 'W m-2', 'NLWRT'], '2': ['Long-Wave Radiation Flux', 'W m-2', 'LWAVR'], '3': ['Downward Long-Wave Rad. Flux', 'W m-2', 'DLWRF'], '4': ['Upward Long-Wave Rad. Flux', 'W m-2', 'ULWRF'], '5': ['Net Long-Wave Radiation Flux', 'W m-2', 'NLWRF'], '6': ['Net Long-Wave Radiation Flux, Clear Sky', 'W m-2', 'NLWRCS'], '7': ['Brightness Temperature', 'K', 'BRTEMP'], '8': ['Downward Long-Wave Radiation Flux, Clear Sky', 'W m-2', 'DLWRFCS'], '9': ['Near IR albedo for diffuse radiation', '%', 'NIRALBDIF'], '10': ['Near IR albedo for direct radiation', '%', 'NIRALBDIR'], '11': ['Near IR albedo for direct radiation, geometric component', '%', 'NIRALBDIRG'], '12': ['Near IR albedo for direct radiation, isotropic component', '%', 'NIRALBDIRI'], '13': ['Near IR albedo for direct radiation, volumetric component', '%', 'NIRALBDIRV'], '14-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Downward Long-Wave Rad. Flux', 'W m-2', 'DLWRF'], '193': ['Upward Long-Wave Rad. Flux', 'W m-2', 'ULWRF'], '194': ['Long-Wave Radiative Heating Rate', 'K s-1', 'LWHR'], '195': ['Clear Sky Upward Long Wave Flux', 'W m-2', 'CSULF'], '196': ['Clear Sky Downward Long Wave Flux', 'W m-2', 'CSDLF'], '197': ['Cloud Forcing Net Long Wave Flux', 'W m-2', 'CFNLF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_6", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Cloud Ice', 'kg m-2', 'CICE'], '1': ['Total Cloud Cover', '%', 'TCDC'], '2': ['Convective Cloud Cover', '%', 'CDCON'], '3': ['Low Cloud Cover', '%', 'LCDC'], '4': ['Medium Cloud Cover', '%', 'MCDC'], '5': ['High Cloud Cover', '%', 'HCDC'], '6': ['Cloud Water', 'kg m-2', 'CWAT'], '7': ['Cloud Amount', '%', 'CDCA'], '8': ['Cloud Type', 'See Table 4.203', 'CDCT'], '9': ['Thunderstorm Maximum Tops', 'm', 'TMAXT'], '10': ['Thunderstorm Coverage', 'See Table 4.204', 'THUNC'], '11': ['Cloud Base', 'm', 'CDCB'], '12': ['Cloud Top', 'm', 'CDCTOP'], '13': ['Ceiling', 'm', 'CEIL'], '14': ['Non-Convective Cloud Cover', '%', 'CDLYR'], '15': ['Cloud Work Function', 'J kg-1', 'CWORK'], '16': ['Convective Cloud Efficiency', 'Proportion', 'CUEFI'], '17': ['Total Condensate', 'kg kg-1', 'TCONDO'], '18': ['Total Column-Integrated Cloud Water', 'kg m-2', 'TCOLWO'], '19': ['Total Column-Integrated Cloud Ice', 'kg m-2', 'TCOLIO'], '20': ['Total Column-Integrated Condensate', 'kg m-2', 'TCOLC'], '21': ['Ice fraction of total condensate', 'Proportion', 'FICE'], '22': ['Cloud Cover', '%', 'CDCC'], '23': ['Cloud Ice Mixing Ratio', 'kg kg-1', 'CDCIMR'], '24': ['Sunshine', 'Numeric', 'SUNS'], '25': ['Horizontal Extent of Cumulonimbus (CB)', '%', 'CBHE'], '26': ['Height of Convective Cloud Base', 'm', 'HCONCB'], '27': ['Height of Convective Cloud Top', 'm', 'HCONCT'], '28': ['Number Concentration of Cloud Droplets', 'kg-1', 'NCONCD'], '29': ['Number Concentration of Cloud Ice', 'kg-1', 'NCCICE'], '30': ['Number Density of Cloud Droplets', 'm-3', 'NDENCD'], '31': ['Number Density of Cloud Ice', 'm-3', 'NDCICE'], '32': ['Fraction of Cloud Cover', 'Numeric', 'FRACCC'], '33': ['Sunshine Duration', 's', 'SUNSD'], '34': ['Surface Long Wave Effective Total Cloudiness', 'Numeric', 'SLWTC'], '35': ['Surface Short Wave Effective Total Cloudiness', 'Numeric', 'SSWTC'], '36': ['Fraction of Stratiform Precipitation Cover', 'Proportion', 'FSTRPC'], '37': ['Fraction of Convective Precipitation Cover', 'Proportion', 'FCONPC'], '38': ['Mass Density of Cloud Droplets', 'kg m-3', 'MASSDCD'], '39': ['Mass Density of Cloud Ice', 'kg m-3', 'MASSDCI'], '40': ['Mass Density of Convective Cloud Water Droplets', 'kg m-3', 'MDCCWD'], '41-46': ['Reserved', 'unknown', 'unknown'], '47': ['Volume Fraction of Cloud Water Droplets', 'Numeric', 'VFRCWD'], '48': ['Volume Fraction of Cloud Ice Particles', 'Numeric', 'VFRCICE'], '49': ['Volume Fraction of Cloud (Ice and/or Water)', 'Numeric', 'VFRCIW'], '50': ['Fog', '%', 'FOG'], '51': ['Sunshine Duration Fraction', 'Proportion', 'SUNFRAC'], '52-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Non-Convective Cloud Cover', '%', 'CDLYR'], '193': ['Cloud Work Function', 'J kg-1', 'CWORK'], '194': ['Convective Cloud Efficiency', 'non-dim', 'CUEFI'], '195': ['Total Condensate', 'kg kg-1', 'TCOND'], '196': ['Total Column-Integrated Cloud Water', 'kg m-2', 'TCOLW'], '197': ['Total Column-Integrated Cloud Ice', 'kg m-2', 'TCOLI'], '198': ['Total Column-Integrated Condensate', 'kg m-2', 'TCOLC'], '199': ['Ice fraction of total condensate', 'non-dim', 'FICE'], '200': ['Convective Cloud Mass Flux', 'Pa s-1', 'MFLUX'], '201': ['Sunshine Duration', 's', 'SUNSD'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_7", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_7", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Parcel Lifted Index (to 500 hPa)', 'K', 'PLI'], '1': ['Best Lifted Index (to 500 hPa)', 'K', 'BLI'], '2': ['K Index', 'K', 'KX'], '3': ['KO Index', 'K', 'KOX'], '4': ['Total Totals Index', 'K', 'TOTALX'], '5': ['Sweat Index', 'Numeric', 'SX'], '6': ['Convective Available Potential Energy', 'J kg-1', 'CAPE'], '7': ['Convective Inhibition', 'J kg-1', 'CIN'], '8': ['Storm Relative Helicity', 'm2 s-2', 'HLCY'], '9': ['Energy Helicity Index', 'Numeric', 'EHLX'], '10': ['Surface Lifted Index', 'K', 'LFT X'], '11': ['Best (4 layer) Lifted Index', 'K', '4LFTX'], '12': ['Richardson Number', 'Numeric', 'RI'], '13': ['Showalter Index', 'K', 'SHWINX'], '14': ['Reserved', 'unknown', 'unknown'], '15': ['Updraft Helicity', 'm2 s-2', 'UPHL'], '16': ['Bulk Richardson Number', 'Numeric', 'BLKRN'], '17': ['Gradient Richardson Number', 'Numeric', 'GRDRN'], '18': ['Flux Richardson Number', 'Numeric', 'FLXRN'], '19': ['Convective Available Potential Energy Shear', 'm2 s-2', 'CONAPES'], '20': ['Thunderstorm intensity index', 'See Table 4.246', 'TIIDEX'], '21-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Surface Lifted Index', 'K', 'LFT X'], '193': ['Best (4 layer) Lifted Index', 'K', '4LFTX'], '194': ['Richardson Number', 'Numeric', 'RI'], '195': ['Convective Weather Detection Index', 'unknown', 'CWDI'], '196': ['Ultra Violet Index', 'W m-2', 'UVI'], '197': ['Updraft Helicity', 'm2 s-2', 'UPHL'], '198': ['Leaf Area Index', 'Numeric', 'LAI'], '199': ['Hourly Maximum of Updraft Helicity', 'm2 s-2', 'MXUPHL'], '200': ['Hourly Minimum of Updraft Helicity', 'm2 s-2', 'MNUPHL'], '201': ['Bourgoiun Negative Energy Layer (surface to freezing level)', 'J kg-1', 'BNEGELAY'], '202': ['Bourgoiun Positive Energy Layer (2k ft AGL to 400 hPa)', 'J kg-1', 'BPOSELAY'], '203': ['Downdraft CAPE', 'J kg-1', 'DCAPE'], '204': ['Effective Storm Relative Helicity', 'm2 s-2', 'EFHL'], '205': ['Enhanced Stretching Potential', 'Numeric', 'ESP'], '206': ['Critical Angle', 'Degree', 'CANGLE'], '207': ['Effective Surface Helicity', 'm2 s-2', 'E3KH'], '208': ['Significant Tornado Parameter with CIN-Effective Layer', 'numeric', 'STPC'], '209': ['Significant Hail Parameter', 'numeric', 'SIGH'], '210': ['Supercell Composite Parameter-Effective Layer', 'numeric', 'SCCP'], '211': ['Significant Tornado parameter-Fixed Layer', 'numeric', 'SIGT'], '212': ['Mixed Layer (100 mb) Virtual LFC', 'numeric', 'MLFC'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_13", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_13", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Aerosol Type', 'See Table 4.205', 'AEROT'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Particulate matter (coarse)', '\u00b5g m-3', 'PMTC'], '193': ['Particulate matter (fine)', '\u00b5g m-3', 'PMTF'], '194': ['Particulate matter (fine)', 'log10 (\u00b5g m-3)', 'LPMTF'], '195': ['Integrated column particulate matter (fine)', 'log10 (\u00b5g m-3)', 'LIPMF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_14", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_14", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Total Ozone', 'DU', 'TOZNE'], '1': ['Ozone Mixing Ratio', 'kg kg-1', 'O3MR'], '2': ['Total Column Integrated Ozone', 'DU', 'TCIOZ'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Ozone Mixing Ratio', 'kg kg-1', 'O3MR'], '193': ['Ozone Concentration', 'ppb', 'OZCON'], '194': ['Categorical Ozone Concentration', 'Non-Dim', 'OZCAT'], '195': ['Ozone Vertical Diffusion', 'kg kg-1 s-1', 'VDFOZ'], '196': ['Ozone Production', 'kg kg-1 s-1', 'POZ'], '197': ['Ozone Tendency', 'kg kg-1 s-1', 'TOZ'], '198': ['Ozone Production from Temperature Term', 'kg kg-1 s-1', 'POZT'], '199': ['Ozone Production from Column Ozone Term', 'kg kg-1 s-1', 'POZO'], '200': ['Ozone Daily Max from 1-hour Average', 'ppbV', 'OZMAX1'], '201': ['Ozone Daily Max from 8-hour Average', 'ppbV', 'OZMAX8'], '202': ['PM 2.5 Daily Max from 1-hour Average', '\u03bcg m-3', 'PDMAX1'], '203': ['PM 2.5 Daily Max from 24-hour Average', '\u03bcg m-3', 'PDMAX24'], '204': ['Acetaldehyde & Higher Aldehydes', 'ppbV', 'ALD2'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_15", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_15", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Base Spectrum Width', 'm s-1', 'BSWID'], '1': ['Base Reflectivity', 'dB', 'BREF'], '2': ['Base Radial Velocity', 'm s-1', 'BRVEL'], '3': ['Vertically-Integrated Liquid Water', 'kg m-2', 'VIL'], '4': ['Layer Maximum Base Reflectivity', 'dB', 'LMAXBR'], '5': ['Precipitation', 'kg m-2', 'PREC'], '6': ['Radar Spectra (1)', 'unknown', 'RDSP1'], '7': ['Radar Spectra (2)', 'unknown', 'RDSP2'], '8': ['Radar Spectra (3)', 'unknown', 'RDSP3'], '9': ['Reflectivity of Cloud Droplets', 'dB', 'RFCD'], '10': ['Reflectivity of Cloud Ice', 'dB', 'RFCI'], '11': ['Reflectivity of Snow', 'dB', 'RFSNOW'], '12': ['Reflectivity of Rain', 'dB', 'RFRAIN'], '13': ['Reflectivity of Graupel', 'dB', 'RFGRPL'], '14': ['Reflectivity of Hail', 'dB', 'RFHAIL'], '15': ['Hybrid Scan Reflectivity', 'dB', 'HSR'], '16': ['Hybrid Scan Reflectivity Height', 'm', 'HSRHT'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_16", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_16", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Equivalent radar reflectivity factor for rain', 'm m6 m-3', 'REFZR'], '1': ['Equivalent radar reflectivity factor for snow', 'm m6 m-3', 'REFZI'], '2': ['Equivalent radar reflectivity factor for parameterized convection', 'm m6 m-3', 'REFZC'], '3': ['Echo Top', 'm', 'RETOP'], '4': ['Reflectivity', 'dB', 'REFD'], '5': ['Composite reflectivity', 'dB', 'REFC'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Equivalent radar reflectivity factor for rain', 'm m6 m-3', 'REFZR'], '193': ['Equivalent radar reflectivity factor for snow', 'm m6 m-3', 'REFZI'], '194': ['Equivalent radar reflectivity factor for parameterized convection', 'm m6 m-3', 'REFZC'], '195': ['Reflectivity', 'dB', 'REFD'], '196': ['Composite reflectivity', 'dB', 'REFC'], '197': ['Echo Top', 'm', 'RETOP'], '198': ['Hourly Maximum of Simulated Reflectivity', 'dB', 'MAXREF'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_17", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_17", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Lightning Strike Density', 'm-2 s-1', 'LTNGSD'], '1': ['Lightning Potential Index (LPI)', 'J kg-1', 'LTPINX'], '2': ['Cloud-to-Ground Lightning Flash Density', 'km-2 day-1', 'CDGDLTFD'], '3': ['Cloud-to-Cloud Lightning Flash Density', 'km-2 day-1', 'CDCDLTFD'], '4': ['Total Lightning Flash Density', 'km-2 day-1', 'TLGTFD'], '5': ['Subgrid-scale lightning potential index', 'J kg-1', 'SLNGPIDX'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Lightning', 'non-dim', 'LTNG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_18", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_18", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Air Concentration of Caesium 137', 'Bq m-3', 'ACCES'], '1': ['Air Concentration of Iodine 131', 'Bq m-3', 'ACIOD'], '2': ['Air Concentration of Radioactive Pollutant', 'Bq m-3', 'ACRADP'], '3': ['Ground Deposition of Caesium 137', 'Bq m-2', 'GDCES'], '4': ['Ground Deposition of Iodine 131', 'Bq m-2', 'GDIOD'], '5': ['Ground Deposition of Radioactive Pollutant', 'Bq m-2', 'GDRADP'], '6': ['Time Integrated Air Concentration of Cesium Pollutant', 'Bq s m-3', 'TIACCP'], '7': ['Time Integrated Air Concentration of Iodine Pollutant', 'Bq s m-3', 'TIACIP'], '8': ['Time Integrated Air Concentration of Radioactive Pollutant', 'Bq s m-3', 'TIACRP'], '9': ['Reserved', 'unknown', 'unknown'], '10': ['Air Concentration', 'Bq m-3', 'AIRCON'], '11': ['Wet Deposition', 'Bq m-2', 'WETDEP'], '12': ['Dry Deposition', 'Bq m-2', 'DRYDEP'], '13': ['Total Deposition (Wet + Dry)', 'Bq m-2', 'TOTLWD'], '14': ['Specific Activity Concentration', 'Bq kg-1', 'SACON'], '15': ['Maximum of Air Concentration in Layer', 'Bq m-3', 'MAXACON'], '16': ['Height of Maximum of Air Concentration', 'm', 'HMXACON'], '17': ['Column-Integrated Air Concentration', 'Bq m-2', 'CIAIRC'], '18': ['Column-Averaged Air Concentration in Layer', 'Bq m-3', 'CAACL'], '19-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_19", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_19", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Visibility', 'm', 'VIS'], '1': ['Albedo', '%', 'ALBDO'], '2': ['Thunderstorm Probability', '%', 'TSTM'], '3': ['Mixed Layer Depth', 'm', 'MIXHT'], '4': ['Volcanic Ash', 'See Table 4.206', 'VOLASH'], '5': ['Icing Top', 'm', 'ICIT'], '6': ['Icing Base', 'm', 'ICIB'], '7': ['Icing', 'See Table 4.207', 'ICI'], '8': ['Turbulence Top', 'm', 'TURBT'], '9': ['Turbulence Base', 'm', 'TURBB'], '10': ['Turbulence', 'See Table 4.208', 'TURB'], '11': ['Turbulent Kinetic Energy', 'J kg-1', 'TKE'], '12': ['Planetary Boundary Layer Regime', 'See Table 4.209', 'PBLREG'], '13': ['Contrail Intensity', 'See Table 4.210', 'CONTI'], '14': ['Contrail Engine Type', 'See Table 4.211', 'CONTET'], '15': ['Contrail Top', 'm', 'CONTT'], '16': ['Contrail Base', 'm', 'CONTB'], '17': ['Maximum Snow Albedo', '%', 'MXSALB'], '18': ['Snow-Free Albedo', '%', 'SNFALB'], '19': ['Snow Albedo', '%', 'SALBD'], '20': ['Icing', '%', 'ICIP'], '21': ['In-Cloud Turbulence', '%', 'CTP'], '22': ['Clear Air Turbulence (CAT)', '%', 'CAT'], '23': ['Supercooled Large Droplet Probability', '%', 'SLDP'], '24': ['Convective Turbulent Kinetic Energy', 'J kg-1', 'CONTKE'], '25': ['Weather', 'See Table 4.225', 'WIWW'], '26': ['Convective Outlook', 'See Table 4.224', 'CONVO'], '27': ['Icing Scenario', 'See Table 4.227', 'ICESC'], '28': ['Mountain Wave Turbulence (Eddy Dissipation Rate)', 'm2/3 s-1', 'MWTURB'], '29': ['Clear Air Turbulence (CAT) (Eddy Dissipation Rate)', 'm2/3 s-1', 'CATEDR'], '30': ['Eddy Dissipation Parameter', 'm2/3 s-1', 'EDPARM'], '31': ['Maximum of Eddy Dissipation Parameter in Layer', 'm2/3 s-1', 'MXEDPRM'], '32': ['Highest Freezing Level', 'm', 'HIFREL'], '33': ['Visibility Through Liquid Fog', 'm', 'VISLFOG'], '34': ['Visibility Through Ice Fog', 'm', 'VISIFOG'], '35': ['Visibility Through Blowing Snow', 'm', 'VISBSN'], '36': ['Presence of Snow Squalls', 'See Table 4.222', 'PSNOWS'], '37': ['Icing Severity', 'See Table 4.228', 'ICESEV'], '38': ['Sky transparency index', 'See Table 4.214', 'SKYIDX'], '39': ['Seeing index', 'See Table 4.214', 'SEEINDEX'], '40': ['Snow level', 'm', 'SNOWLVL'], '41': ['Duct base height', 'm', 'DBHEIGHT'], '42': ['Trapping layer base height', 'm', 'TLBHEIGHT'], '43': ['Trapping layer top height', 'm', 'TLTHEIGHT'], '44': ['Mean vertical gradient of refractivity inside trapping layer', 'm-1', 'MEANVGRTL'], '45': ['Minimum vertical gradient of refractivity inside trapping layer', 'm-1', 'MINVGRTL'], '46': ['Net radiation flux', 'W m-2', 'NETRADFLUX'], '47': ['Global irradiance on tilted surfaces', 'W m-2', 'GLIRRTS'], '48': ['Top of persistent contrails', 'm', 'PCONTT'], '49': ['Base of persistent contrails', 'm', 'PCONTB'], '50': ['Convectively-induced turbulence (CIT) (eddy dissipation rate)', 'm2/3 s-1', 'CITEDR'], '51-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Maximum Snow Albedo', '%', 'MXSALB'], '193': ['Snow-Free Albedo', '%', 'SNFALB'], '194': ['Slight risk convective outlook', 'categorical', 'SRCONO'], '195': ['Moderate risk convective outlook', 'categorical', 'MRCONO'], '196': ['High risk convective outlook', 'categorical', 'HRCONO'], '197': ['Tornado probability', '%', 'TORPROB'], '198': ['Hail probability', '%', 'HAILPROB'], '199': ['Wind probability', '%', 'WINDPROB'], '200': ['Significant Tornado probability', '%', 'STORPROB'], '201': ['Significant Hail probability', '%', 'SHAILPRO'], '202': ['Significant Wind probability', '%', 'SWINDPRO'], '203': ['Categorical Thunderstorm', 'Code table 4.222', 'TSTMC'], '204': ['Number of mixed layers next to surface', 'integer', 'MIXLY'], '205': ['Flight Category', 'unknown', 'FLGHT'], '206': ['Confidence - Ceiling', 'unknown', 'CICEL'], '207': ['Confidence - Visibility', 'unknown', 'CIVIS'], '208': ['Confidence - Flight Category', 'unknown', 'CIFLT'], '209': ['Low-Level aviation interest', 'unknown', 'LAVNI'], '210': ['High-Level aviation interest', 'unknown', 'HAVNI'], '211': ['Visible, Black Sky Albedo', '%', 'SBSALB'], '212': ['Visible, White Sky Albedo', '%', 'SWSALB'], '213': ['Near IR, Black Sky Albedo', '%', 'NBSALB'], '214': ['Near IR, White Sky Albedo', '%', 'NWSALB'], '215': ['Total Probability of Severe Thunderstorms (Days 2,3)', '%', 'PRSVR'], '216': ['Total Probability of Extreme Severe Thunderstorms (Days 2,3)', '%', 'PRSIGSVR'], '217': ['Supercooled Large Droplet (SLD) Icing', 'See Table 4.207', 'SIPD'], '218': ['Radiative emissivity', 'unknown', 'EPSR'], '219': ['Turbulence Potential Forecast Index', 'unknown', 'TPFI'], '220': ['Categorical Severe Thunderstorm', 'Code table 4.222', 'SVRTS'], '221': ['Probability of Convection', '%', 'PROCON'], '222': ['Convection Potential', 'Code table 4.222', 'CONVP'], '223-231': ['Reserved', 'unknown', 'unknown'], '232': ['Volcanic Ash Forecast Transport and Dispersion', 'log10 (kg m-3)', 'VAFTD'], '233': ['Icing probability', 'non-dim', 'ICPRB'], '234': ['Icing Severity', 'non-dim', 'ICSEV'], '235': ['Joint Fire Weather Probability', '%', 'JFWPRB'], '236': ['Snow Level', 'm', 'SNOWLVL'], '237': ['Dry Thunderstorm Probability', '%', 'DRYTPROB'], '238': ['Ellrod Index', 'unknown', 'ELLINX'], '239': ['Craven-Wiedenfeld Aggregate Severe Parameter', 'Numeric', 'CWASP'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_20", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_20", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Mass Density (Concentration)', 'kg m-3', 'MASSDEN'], '1': ['Column-Integrated Mass Density', 'kg m-2', 'COLMD'], '2': ['Mass Mixing Ratio (Mass Fraction in Air)', 'kg kg-1', 'MASSMR'], '3': ['Atmosphere Emission Mass Flux', 'kg m-2s-1', 'AEMFLX'], '4': ['Atmosphere Net Production Mass Flux', 'kg m-2s-1', 'ANPMFLX'], '5': ['Atmosphere Net Production And Emision Mass Flux', 'kg m-2s-1', 'ANPEMFLX'], '6': ['Surface Dry Deposition Mass Flux', 'kg m-2s-1', 'SDDMFLX'], '7': ['Surface Wet Deposition Mass Flux', 'kg m-2s-1', 'SWDMFLX'], '8': ['Atmosphere Re-Emission Mass Flux', 'kg m-2s-1', 'AREMFLX'], '9': ['Wet Deposition by Large-Scale Precipitation Mass Flux', 'kg m-2s-1', 'WLSMFLX'], '10': ['Wet Deposition by Convective Precipitation Mass Flux', 'kg m-2s-1', 'WDCPMFLX'], '11': ['Sedimentation Mass Flux', 'kg m-2s-1', 'SEDMFLX'], '12': ['Dry Deposition Mass Flux', 'kg m-2s-1', 'DDMFLX'], '13': ['Transfer From Hydrophobic to Hydrophilic', 'kg kg-1s-1', 'TRANHH'], '14': ['Transfer From SO2 (Sulphur Dioxide) to SO4 (Sulphate)', 'kg kg-1s-1', 'TRSDS'], '15': ['Dry deposition velocity', 'm s-1', 'DDVEL'], '16': ['Mass mixing ratio with respect to dry air', 'kg kg-1', 'MSSRDRYA'], '17': ['Mass mixing ratio with respect to wet air', 'kg kg-1', 'MSSRWETA'], '18': ['Potential of hydrogen (pH)', 'pH', 'POTHPH'], '19-49': ['Reserved', 'unknown', 'unknown'], '50': ['Amount in Atmosphere', 'mol', 'AIA'], '51': ['Concentration In Air', 'mol m-3', 'CONAIR'], '52': ['Volume Mixing Ratio (Fraction in Air)', 'mol mol-1', 'VMXR'], '53': ['Chemical Gross Production Rate of Concentration', 'mol m-3s-1', 'CGPRC'], '54': ['Chemical Gross Destruction Rate of Concentration', 'mol m-3s-1', 'CGDRC'], '55': ['Surface Flux', 'mol m-2s-1', 'SFLUX'], '56': ['Changes Of Amount in Atmosphere', 'mol s-1', 'COAIA'], '57': ['Total Yearly Average Burden of The Atmosphere>', 'mol', 'TYABA'], '58': ['Total Yearly Average Atmospheric Loss', 'mol s-1', 'TYAAL'], '59': ['Aerosol Number Concentration', 'm-3', 'ANCON'], '60': ['Aerosol Specific Number Concentration', 'kg-1', 'ASNCON'], '61': ['Maximum of Mass Density', 'kg m-3', 'MXMASSD'], '62': ['Height of Mass Density', 'm', 'HGTMD'], '63': ['Column-Averaged Mass Density in Layer', 'kg m-3', 'CAVEMDL'], '64': ['Mole fraction with respect to dry air', 'mol mol-1', 'MOLRDRYA'], '65': ['Mole fraction with respect to wet air', 'mol mol-1', 'MOLRWETA'], '66': ['Column-integrated in-cloud scavenging rate by precipitation', 'kg m-2 s-1', 'CINCLDSP'], '67': ['Column-integrated below-cloud scavenging rate by precipitation', 'kg m-2 s-1', 'CBLCLDSP'], '68': ['Column-integrated release rate from evaporating precipitation', 'kg m-2 s-1', 'CIRELREP'], '69': ['Column-integrated in-cloud scavenging rate by large-scale precipitation', 'kg m-2 s-1', 'CINCSLSP'], '70': ['Column-integrated below-cloud scavenging rate by large-scale precipitation', 'kg m-2 s-1', 'CBECSLSP'], '71': ['Column-integrated release rate from evaporating large-scale precipitation', 'kg m-2 s-1', 'CRERELSP'], '72': ['Column-integrated in-cloud scavenging rate by convective precipitation', 'kg m-2 s-1', 'CINCSRCP'], '73': ['Column-integrated below-cloud scavenging rate by convective precipitation', 'kg m-2 s-1', 'CBLCSRCP'], '74': ['Column-integrated release rate from evaporating convective precipitation', 'kg m-2 s-1', 'CIRERECP'], '75': ['Wildfire flux', 'kg m-2 s-1', 'WFIREFLX'], '76': ['Emission Rate', 'kg kg-1 s-1', 'EMISFLX'], '77': ['Surface Emission flux', 'kg m-2 s-1', 'SFCEFLX'], '78': ['Column integrated eastward mass flux', 'kg m-2 s-1', 'CEMF'], '79': ['Column integrated northward mass flux', 'kg m-2 s-1', 'CNMF'], '80': ['Column integrated divergence of mass flux', 'kg m-2 s-1', 'CDIVMF'], '81': ['Column integrated net source', 'kg m-2 s-1', 'CDNETS'], '82-99': ['Reserved', 'unknown', 'unknown'], '100': ['Surface Area Density (Aerosol)', 'm-1', 'SADEN'], '101': ['Vertical Visual Range', 'm', 'ATMTK'], '102': ['Aerosol Optical Thickness', 'Numeric', 'AOTK'], '103': ['Single Scattering Albedo', 'Numeric', 'SSALBK'], '104': ['Asymmetry Factor', 'Numeric', 'ASYSFK'], '105': ['Aerosol Extinction Coefficient', 'm-1', 'AECOEF'], '106': ['Aerosol Absorption Coefficient', 'm-1', 'AACOEF'], '107': ['Aerosol Lidar Backscatter from Satellite', 'm-1sr-1', 'ALBSAT'], '108': ['Aerosol Lidar Backscatter from the Ground', 'm-1sr-1', 'ALBGRD'], '109': ['Aerosol Lidar Extinction from Satellite', 'm-1', 'ALESAT'], '110': ['Aerosol Lidar Extinction from the Ground', 'm-1', 'ALEGRD'], '111': ['Angstrom Exponent', 'Numeric', 'ANGSTEXP'], '112': ['Scattering Aerosol Optical Thickness', 'Numeric', 'SCTAOTK'], '113-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_190", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_190", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Arbitrary Text String', 'CCITTIA5', 'ATEXT'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_191", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_191", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Seconds prior to initial reference time (defined in Section 1)', 's', 'TSEC'], '1': ['Geographical Latitude', '\u00b0 N', 'GEOLAT'], '2': ['Geographical Longitude', '\u00b0 E', 'GEOLON'], '3': ['Days Since Last Observation', 'd', 'DSLOBS'], '4': ['Tropical cyclone density track', 'Numeric', 'TCDTRACK'], '5-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Latitude (-90 to 90)', '\u00b0', 'NLAT'], '193': ['East Longitude (0 to 360)', '\u00b0', 'ELON'], '194': ['Seconds prior to initial reference time', 's', 'RTSEC'], '195': ['Model Layer number (From bottom up)', 'unknown', 'MLYNO'], '196': ['Latitude (nearest neighbor) (-90 to 90)', '\u00b0', 'NLATN'], '197': ['East Longitude (nearest neighbor) (0 to 360)', '\u00b0', 'ELONN'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_192", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_192", "kind": "variable", "doc": "\n", "default_value": "{'1': ['Covariance between zonal and meridional components of the wind. Defined as [uv]-[u][v], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVMZ'], '2': ['Covariance between zonal component of the wind and temperature. Defined as [uT]-[u][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTZ'], '3': ['Covariance between meridional component of the wind and temperature. Defined as [vT]-[v][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTM'], '4': ['Covariance between temperature and vertical component of the wind. Defined as [wT]-[w][T], where "[]" indicates the mean over the indicated time span.', 'K*m/s', 'COVTW'], '5': ['Covariance between zonal and zonal components of the wind. Defined as [uu]-[u][u], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVZZ'], '6': ['Covariance between meridional and meridional components of the wind. Defined as [vv]-[v][v], where "[]" indicates the mean over the indicated time span.', 'm2/s2', 'COVMM'], '7': ['Covariance between specific humidity and zonal components of the wind. Defined as [uq]-[u][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*m/s', 'COVQZ'], '8': ['Covariance between specific humidity and meridional components of the wind. Defined as [vq]-[v][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*m/s', 'COVQM'], '9': ['Covariance between temperature and vertical components of the wind. Defined as [\u03a9T]-[\u03a9][T], where "[]" indicates the mean over the indicated time span.', 'K*Pa/s', 'COVTVV'], '10': ['Covariance between specific humidity and vertical components of the wind. Defined as [\u03a9q]-[\u03a9][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*Pa/s', 'COVQVV'], '11': ['Covariance between surface pressure and surface pressure. Defined as [Psfc]-[Psfc][Psfc], where "[]" indicates the mean over the indicated time span.', 'Pa*Pa', 'COVPSPS'], '12': ['Covariance between specific humidity and specific humidy. Defined as [qq]-[q][q], where "[]" indicates the mean over the indicated time span.', 'kg/kg*kg/kg', 'COVQQ'], '13': ['Covariance between vertical and vertical components of the wind. Defined as [\u03a9\u03a9]-[\u03a9][\u03a9], where "[]" indicates the mean over the indicated time span.', 'Pa2/s2', 'COVVVVV'], '14': ['Covariance between temperature and temperature. Defined as [TT]-[T][T], where "[]" indicates the mean over the indicated time span.', 'K*K', 'COVTT'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_0_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_0_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'193': ['Apparent Temperature', 'K', 'APPT']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_1_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_1_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'192': ['Weather Information', 'WxInfo', 'WX']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_19_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_19_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'194': ['Convective Hazard Outlook', 'categorical', 'CONVOUTLOOK'], '197': ['Probability of Tornado', '%', 'PTORNADO'], '198': ['Probability of Hail', '%', 'PHAIL'], '199': ['Probability of Damaging Wind', '%', 'PWIND'], '200': ['Probability of Extreme Tornado', '%', 'PXTRMTORN'], '201': ['Probability of Extreme Hail', '%', 'PXTRMHAIL'], '202': ['Probability of Extreme Wind', '%', 'PXTRMWIND'], '215': ['Total Probability of Severe Thunderstorms', '%', 'TOTALSVRPROB'], '216': ['Total Probability of Extreme Severe Thunderstorms', '%', 'TOTALXTRMPROB'], '217': ['Watch Warning Advisory', 'WxInfo', 'WWA']}"}, {"fullname": "grib2io.tables.section4_discipline0.table_4_2_0_192_ndfd", "modulename": "grib2io.tables.section4_discipline0", "qualname": "table_4_2_0_192_ndfd", "kind": "variable", "doc": "\n", "default_value": "{'192': ['Critical Fire Weather', '', 'FIREWX'], '194': ['Dry Lightning', '', 'DRYLIGHTNING']}"}, {"fullname": "grib2io.tables.section4_discipline1", "modulename": "grib2io.tables.section4_discipline1", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_0", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Flash Flood Guidance (Encoded as an accumulation over a floating subinterval of time between the reference time and valid time)', 'kg m-2', 'FFLDG'], '1': ['Flash Flood Runoff (Encoded as an accumulation over a floating subinterval of time)', 'kg m-2', 'FFLDRO'], '2': ['Remotely Sensed Snow Cover', 'See Table 4.215', 'RSSC'], '3': ['Elevation of Snow Covered Terrain', 'See Table 4.216', 'ESCT'], '4': ['Snow Water Equivalent Percent of Normal', '%', 'SWEPON'], '5': ['Baseflow-Groundwater Runoff', 'kg m-2', 'BGRUN'], '6': ['Storm Surface Runoff', 'kg m-2', 'SSRUN'], '7': ['Discharge from Rivers or Streams', 'm3 s-1', 'DISRS'], '8': ['Group Water Upper Storage', 'kg m-2', 'GWUPS'], '9': ['Group Water Lower Storage', 'kg m-2', 'GWLOWS'], '10': ['Side Flow into River Channel', 'm3 s-1 m-1', 'SFLORC'], '11': ['River Storage of Water', 'm3', 'RVERSW'], '12': ['Flood Plain Storage of Water', 'm3', 'FLDPSW'], '13': ['Depth of Water on Soil Surface', 'kg m-2', 'DEPWSS'], '14': ['Upstream Accumulated Precipitation', 'kg m-2', 'UPAPCP'], '15': ['Upstream Accumulated Snow Melt', 'kg m-2', 'UPASM'], '16': ['Percolation Rate', 'kg m-2 s-1', 'PERRATE'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Baseflow-Groundwater Runoff', 'kg m-2', 'BGRUN'], '193': ['Storm Surface Runoff', 'kg m-2', 'SSRUN'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_1", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Conditional percent precipitation amount fractile for an overall period (encoded as an accumulation)', 'kg m-2', 'CPPOP'], '1': ['Percent Precipitation in a sub-period of an overall period (encoded as a percent accumulation over the sub-period)', '%', 'PPOSP'], '2': ['Probability of 0.01 inch of precipitation (POP)', '%', 'POP'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Probability of Freezing Precipitation', '%', 'CPOZP'], '193': ['Percent of Frozen Precipitation', '%', 'CPOFP'], '194': ['Probability of precipitation exceeding flash flood guidance values', '%', 'PPFFG'], '195': ['Probability of Wetting Rain, exceeding in 0.10" in a given time period', '%', 'CWR'], '196': ['Binary Probability of precipitation exceeding average recurrence intervals (ARI)', 'see Code table 4.222', 'QPFARI'], '197': ['Binary Probability of precipitation exceeding flash flood guidance values', 'see Code table 4.222', 'QPFFFG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline1.table_4_2_1_2", "modulename": "grib2io.tables.section4_discipline1", "qualname": "table_4_2_1_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Water Depth', 'm', 'WDPTHIL'], '1': ['Water Temperature', 'K', 'WTMPIL'], '2': ['Water Fraction', 'Proportion', 'WFRACT'], '3': ['Sediment Thickness', 'm', 'SEDTK'], '4': ['Sediment Temperature', 'K', 'SEDTMP'], '5': ['Ice Thickness', 'm', 'ICTKIL'], '6': ['Ice Temperature', 'K', 'ICETIL'], '7': ['Ice Cover', 'Proportion', 'ICECIL'], '8': ['Land Cover (0=water, 1=land)', 'Proportion', 'LANDIL'], '9': ['Shape Factor with Respect to Salinity Profile', 'unknown', 'SFSAL'], '10': ['Shape Factor with Respect to Temperature Profile in Thermocline', 'unknown', 'SFTMP'], '11': ['Attenuation Coefficient of Water with Respect to Solar Radiation', 'm-1', 'ACWSR'], '12': ['Salinity', 'kg kg-1', 'SALTIL'], '13': ['Cross Sectional Area of Flow in Channel', 'm2', 'CSAFC'], '14': ['Snow temperature', 'K', 'LNDSNOWT'], '15': ['Lake depth', 'm', 'LDEPTH'], '16': ['River depth', 'm', 'RDEPTH'], '17-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10", "modulename": "grib2io.tables.section4_discipline10", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_0", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Wave Spectra (1)', '-', 'WVSP1'], '1': ['Wave Spectra (2)', '-', 'WVSP2'], '2': ['Wave Spectra (3)', '-', 'WVSP3'], '3': ['Significant Height of Combined Wind Waves and Swell', 'm', 'HTSGW'], '4': ['Direction of Wind Waves', 'degree true', 'WVDIR'], '5': ['Significant Height of Wind Waves', 'm', 'WVHGT'], '6': ['Mean Period of Wind Waves', 's', 'WVPER'], '7': ['Direction of Swell Waves', 'degree true', 'SWDIR'], '8': ['Significant Height of Swell Waves', 'm', 'SWELL'], '9': ['Mean Period of Swell Waves', 's', 'SWPER'], '10': ['Primary Wave Direction', 'degree true', 'DIRPW'], '11': ['Primary Wave Mean Period', 's', 'PERPW'], '12': ['Secondary Wave Direction', 'degree true', 'DIRSW'], '13': ['Secondary Wave Mean Period', 's', 'PERSW'], '14': ['Direction of Combined Wind Waves and Swell', 'degree true', 'WWSDIR'], '15': ['Mean Period of Combined Wind Waves and Swell', 's', 'MWSPER'], '16': ['Coefficient of Drag With Waves', '-', 'CDWW'], '17': ['Friction Velocity', 'm s-1', 'FRICVW'], '18': ['Wave Stress', 'N m-2', 'WSTR'], '19': ['Normalised Waves Stress', '-', 'NWSTR'], '20': ['Mean Square Slope of Waves', '-', 'MSSW'], '21': ['U-component Surface Stokes Drift', 'm s-1', 'USSD'], '22': ['V-component Surface Stokes Drift', 'm s-1', 'VSSD'], '23': ['Period of Maximum Individual Wave Height', 's', 'PMAXWH'], '24': ['Maximum Individual Wave Height', 'm', 'MAXWH'], '25': ['Inverse Mean Wave Frequency', 's', 'IMWF'], '26': ['Inverse Mean Frequency of The Wind Waves', 's', 'IMFWW'], '27': ['Inverse Mean Frequency of The Total Swell', 's', 'IMFTSW'], '28': ['Mean Zero-Crossing Wave Period', 's', 'MZWPER'], '29': ['Mean Zero-Crossing Period of The Wind Waves', 's', 'MZPWW'], '30': ['Mean Zero-Crossing Period of The Total Swell', 's', 'MZPTSW'], '31': ['Wave Directional Width', '-', 'WDIRW'], '32': ['Directional Width of The Wind Waves', '-', 'DIRWWW'], '33': ['Directional Width of The Total Swell', '-', 'DIRWTS'], '34': ['Peak Wave Period', 's', 'PWPER'], '35': ['Peak Period of The Wind Waves', 's', 'PPERWW'], '36': ['Peak Period of The Total Swell', 's', 'PPERTS'], '37': ['Altimeter Wave Height', 'm', 'ALTWH'], '38': ['Altimeter Corrected Wave Height', 'm', 'ALCWH'], '39': ['Altimeter Range Relative Correction', '-', 'ALRRC'], '40': ['10 Metre Neutral Wind Speed Over Waves', 'm s-1', 'MNWSOW'], '41': ['10 Metre Wind Direction Over Waves', 'degree true', 'MWDIRW'], '42': ['Wave Engery Spectrum', 'm-2 s rad-1', 'WESP'], '43': ['Kurtosis of The Sea Surface Elevation Due to Waves', '-', 'KSSEW'], '44': ['Benjamin-Feir Index', '-', 'BENINX'], '45': ['Spectral Peakedness Factor', 's-1', 'SPFTR'], '46': ['Peak wave direction', '°', 'PWAVEDIR'], '47': ['Significant wave height of first swell partition', 'm', 'SWHFSWEL'], '48': ['Significant wave height of second swell partition', 'm', 'SWHSSWEL'], '49': ['Significant wave height of third swell partition', 'm', 'SWHTSWEL'], '50': ['Mean wave period of first swell partition', 's', 'MWPFSWEL'], '51': ['Mean wave period of second swell partition', 's', 'MWPSSWEL'], '52': ['Mean wave period of third swell partition', 's', 'MWPTSWEL'], '53': ['Mean wave direction of first swell partition', '°', 'MWDFSWEL'], '54': ['Mean wave direction of second swell partition', '°', 'MWDSSWEL'], '55': ['Mean wave direction of third swell partition', '°', 'MWDTSWEL'], '56': ['Wave directional width of first swell partition', '-', 'WDWFSWEL'], '57': ['Wave directional width of second swell partition', '-', 'WDWSSWEL'], '58': ['Wave directional width of third swell partition', '-', 'WDWTSWEL'], '59': ['Wave frequency width of first swell partition', '-', 'WFWFSWEL'], '60': ['Wave frequency width of second swell partition', '-', 'WFWSSWEL'], '61': ['Wave frequency width of third swell partition', '-', 'WFWTSWEL'], '62': ['Wave frequency width', '-', 'WAVEFREW'], '63': ['Frequency width of wind waves', '-', 'FREWWW'], '64': ['Frequency width of total swell', '-', 'FREWTSW'], '65': ['Peak Wave Period of First Swell Partition', 's', 'PWPFSPAR'], '66': ['Peak Wave Period of Second Swell Partition', 's', 'PWPSSPAR'], '67': ['Peak Wave Period of Third Swell Partition', 's', 'PWPTSPAR'], '68': ['Peak Wave Direction of First Swell Partition', 'degree true', 'PWDFSPAR'], '69': ['Peak Wave Direction of Second Swell Partition', 'degree true', 'PWDSSPAR'], '70': ['Peak Wave Direction of Third Swell Partition', 'degree true', 'PWDTSPAR'], '71': ['Peak Direction of Wind Waves', 'degree true', 'PDWWAVE'], '72': ['Peak Direction of Total Swell', 'degree true', 'PDTSWELL'], '73': ['Whitecap Fraction', 'fraction', 'WCAPFRAC'], '74': ['Mean Direction of Total Swell', 'degree', 'MDTSWEL'], '75': ['Mean Direction of Wind Waves', 'degree', 'MDWWAVE'], '76': ['Charnock', 'Numeric', 'CHNCK'], '77': ['Wave Spectral Skewness', 'Numeric', 'WAVESPSK'], '78': ['Wave Energy Flux Magnitude', 'W m-1', 'WAVEFMAG'], '79': ['Wave Energy Flux Mean Direction', 'degree true', 'WAVEFDIR'], '80': ['Raio of Wave Angular and Frequency width', 'Numeric', 'RWAVEAFW'], '81': ['Free Convective Velocity over the Oceans', 'm s-1', 'FCVOCEAN'], '82': ['Air Density over the Oceans', 'kg m-3', 'AIRDENOC'], '83': ['Normalized Energy Flux into Waves', 'Numeric', 'NEFW'], '84': ['Normalized Stress into Ocean', 'Numeric', 'NSOCEAN'], '85': ['Normalized Energy Flux into Ocean', 'Numeric', 'NEFOCEAN'], '86': ['Surface Elevation Variance due to Waves (over all frequencies and directions)', 'm2 s rad-1', 'SEVWAVE'], '87': ['Wave Induced Mean Se Level Correction', 'm', 'WAVEMSLC'], '88': ['Spectral Width Index', 'Numeric', 'SPECWI'], '89': ['Number of Events in Freak Wave Statistics', 'Numeric', 'EFWS'], '90': ['U-Component of Surface Momentum Flux into Ocean', 'N m-2', 'USMFO'], '91': ['U-Component of Surface Momentum Flux into Ocean', 'N m-2', 'VSMFO'], '92': ['Wave Turbulent Energy Flux into Ocean', 'W m-2', 'WAVETEFO'], '93': ['Envelop maximum individual wave height', 'm', 'EMIWAVE'], '94': ['Time domain maximum individual crest height', 'm', 'TDMCREST'], '95': ['Time domain maximum individual wave height', 'm', 'TDMWAVE'], '96': ['Space time maximum individual crest height', 'm', 'STMCREST'], '97': ['Space time maximum individual wave height', 'm', 'STMWAVE'], '98-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Wave Steepness', 'proportion', 'WSTP'], '193': ['Wave Length', 'unknown', 'WLENG'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_1", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Current Direction', 'degree True', 'DIRC'], '1': ['Current Speed', 'm s-1', 'SPC'], '2': ['U-Component of Current', 'm s-1', 'UOGRD'], '3': ['V-Component of Current', 'm s-1', 'VOGRD'], '4': ['Rip Current Occurrence Probability', '%', 'RIPCOP'], '5': ['Eastward Current', 'm s-1', 'EASTCUR'], '6': ['Northward Current', 'm s-1', 'NRTHCUR'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Ocean Mixed Layer U Velocity', 'm s-1', 'OMLU'], '193': ['Ocean Mixed Layer V Velocity', 'm s-1', 'OMLV'], '194': ['Barotropic U velocity', 'm s-1', 'UBARO'], '195': ['Barotropic V velocity', 'm s-1', 'VBARO'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_2", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Ice Cover', 'Proportion', 'ICEC'], '1': ['Ice Thickness', 'm', 'ICETK'], '2': ['Direction of Ice Drift', 'degree True', 'DICED'], '3': ['Speed of Ice Drift', 'm s-1', 'SICED'], '4': ['U-Component of Ice Drift', 'm s-1', 'UICE'], '5': ['V-Component of Ice Drift', 'm s-1', 'VICE'], '6': ['Ice Growth Rate', 'm s-1', 'ICEG'], '7': ['Ice Divergence', 's-1', 'ICED'], '8': ['Ice Temperature', 'K', 'ICETMP'], '9': ['Module of Ice Internal Pressure', 'Pa m', 'ICEPRS'], '10': ['Zonal Vector Component of Vertically Integrated Ice Internal Pressure', 'Pa m', 'ZVCICEP'], '11': ['Meridional Vector Component of Vertically Integrated Ice Internal Pressure', 'Pa m', 'MVCICEP'], '12': ['Compressive Ice Strength', 'N m-1', 'CICES'], '13': ['Snow Temperature (over sea ice)', 'K', 'SNOWTSI'], '14': ['Albedo', 'Numeric', 'ALBDOICE'], '15': ['Sea Ice Volume per Unit Area', 'm3m-2', 'SICEVOL'], '16': ['Snow Volume Over Sea Ice per Unit Area', 'm3m-2', 'SNVOLSI'], '17': ['Sea Ice Heat Content', 'J m-2', 'SICEHC'], '18': ['Snow over Sea Ice Heat Content', 'J m-2', 'SNCEHC'], '19': ['Ice Freeboard Thickness', 'm', 'ICEFTHCK'], '20': ['Ice Melt Pond Fraction', 'fraction', 'ICEMPF'], '21': ['Ice Melt Pond Depth', 'm', 'ICEMPD'], '22': ['Ice Melt Pond Volume per Unit Area', 'm3m-2', 'ICEMPV'], '23': ['Sea Ice Fraction Tendency due to Parameterization', 's-1', 'SIFTP'], '24': ['x-component of ice drift', 'm s-1', 'XICE'], '25': ['y-component of ice drift', 'm s-1', 'YICE'], '26': ['Reserved', 'unknown', 'unknown'], '27': ['Freezing/melting potential (Tentatively accepted)', 'W m-2', 'FRZMLTPOT'], '28': ['Melt onset date (Tentatively accepted)', 'Numeric', 'MLTDATE'], '29': ['Freeze onset date (Tentatively accepted)', 'Numeric', 'FRZDATE'], '30-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_3", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Water Temperature', 'K', 'WTMP'], '1': ['Deviation of Sea Level from Mean', 'm', 'DSLM'], '2': ['Heat Exchange Coefficient', 'unknown', 'CH'], '3': ['Practical Salinity', 'Numeric', 'PRACTSAL'], '4': ['Downward Heat Flux', 'W m-2', 'DWHFLUX'], '5': ['Eastward Surface Stress', 'N m-2', 'EASTWSS'], '6': ['Northward surface stress', 'N m-2', 'NORTHWSS'], '7': ['x-component Surface Stress', 'N m-2', 'XCOMPSS'], '8': ['y-component Surface Stress', 'N m-2', 'YCOMPSS'], '9': ['Thermosteric Change in Sea Surface Height', 'm', 'THERCSSH'], '10': ['Halosteric Change in Sea Surface Height', 'm', 'HALOCSSH'], '11': ['Steric Change in Sea Surface Height', 'm', 'STERCSSH'], '12': ['Sea Salt Flux', 'kg m-2s-1', 'SEASFLUX'], '13': ['Net upward water flux', 'kg m-2s-1', 'NETUPWFLUX'], '14': ['Eastward surface water velocity', 'm s-1', 'ESURFWVEL'], '15': ['Northward surface water velocity', 'm s-1', 'NSURFWVEL'], '16': ['x-component of surface water velocity', 'm s-1', 'XSURFWVEL'], '17': ['y-component of surface water velocity', 'm s-1', 'YSURFWVEL'], '18': ['Heat flux correction', 'W m-2', 'HFLUXCOR'], '19': ['Sea surface height tendency due to parameterization', 'm s-1', 'SSHGTPARM'], '20': ['Deviation of sea level from mean with inverse barometer correction', 'm', 'DSLIBARCOR'], '21': ['Salinity', 'kg kg-1', 'SALIN'], '22-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Hurricane Storm Surge', 'm', 'SURGE'], '193': ['Extra Tropical Storm Surge', 'm', 'ETSRG'], '194': ['Ocean Surface Elevation Relative to Geoid', 'm', 'ELEV'], '195': ['Sea Surface Height Relative to Geoid', 'm', 'SSHG'], '196': ['Ocean Mixed Layer Potential Density (Reference 2000m)', 'kg m-3', 'P2OMLT'], '197': ['Net Air-Ocean Heat Flux', 'W m-2', 'AOHFLX'], '198': ['Assimilative Heat Flux', 'W m-2', 'ASHFL'], '199': ['Surface Temperature Trend', 'degree per day', 'SSTT'], '200': ['Surface Salinity Trend', 'psu per day', 'SSST'], '201': ['Kinetic Energy', 'J kg-1', 'KENG'], '202': ['Salt Flux', 'kg m-2s-1', 'SLTFL'], '203': ['Heat Exchange Coefficient', 'unknown', 'LCH'], '204': ['Freezing Spray', 'unknown', 'FRZSPR'], '205': ['Total Water Level Accounting for Tide, Wind and Waves', 'm', 'TWLWAV'], '206': ['Total Water Level Increase due to Waves', 'm', 'RUNUP'], '207': ['Mean Increase in Water Level due to Waves', 'm', 'SETUP'], '208': ['Time-varying Increase in Water Level due to Waves', 'm', 'SWASH'], '209': ['Total Water Level Above Dune Toe', 'm', 'TWLDT'], '210': ['Total Water Level Above Dune Crest', 'm', 'TWLDC'], '211-241': ['Reserved', 'unknown', 'unknown'], '242': ['20% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG20'], '243': ['30% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG30'], '244': ['40% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG40'], '245': ['50% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG50'], '246': ['60% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG60'], '247': ['70% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG70'], '248': ['80% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG80'], '249': ['90% Tropical Cyclone Storm Surge Exceedance', 'm', 'TCSRG90'], '250': ['Extra Tropical Storm Surge Combined Surge and Tide', 'm', 'ETCWL'], '251': ['Tide', 'm', 'TIDE'], '252': ['Erosion Occurrence Probability', '%', 'EROSNP'], '253': ['Overwash Occurrence Probability', '%', 'OWASHP'], '254': ['Reserved', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_4", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Main Thermocline Depth', 'm', 'MTHD'], '1': ['Main Thermocline Anomaly', 'm', 'MTHA'], '2': ['Transient Thermocline Depth', 'm', 'TTHDP'], '3': ['Salinity', 'kg kg-1', 'SALTY'], '4': ['Ocean Vertical Heat Diffusivity', 'm2 s-1', 'OVHD'], '5': ['Ocean Vertical Salt Diffusivity', 'm2 s-1', 'OVSD'], '6': ['Ocean Vertical Momentum Diffusivity', 'm2 s-1', 'OVMD'], '7': ['Bathymetry', 'm', 'BATHY'], '8-10': ['Reserved', 'unknown', 'unknown'], '11': ['Shape Factor With Respect To Salinity Profile', 'unknown', 'SFSALP'], '12': ['Shape Factor With Respect To Temperature Profile In Thermocline', 'unknown', 'SFTMPP'], '13': ['Attenuation Coefficient Of Water With Respect to Solar Radiation', 'm-1', 'ACWSRD'], '14': ['Water Depth', 'm', 'WDEPTH'], '15': ['Water Temperature', 'K', 'WTMPSS'], '16': ['Water Density (rho)', 'kg m-3', 'WATERDEN'], '17': ['Water Density Anomaly (sigma)', 'kg m-3', 'WATDENA'], '18': ['Water potential temperature (theta)', 'K', 'WATPTEMP'], '19': ['Water potential density (rho theta)', 'kg m-3', 'WATPDEN'], '20': ['Water potential density anomaly (sigma theta)', 'kg m-3', 'WATPDENA'], '21': ['Practical Salinity', 'psu (numeric)', 'PRTSAL'], '22': ['Water Column-integrated Heat Content', 'J m-2', 'WCHEATC'], '23': ['Eastward Water Velocity', 'm s-1', 'EASTWVEL'], '24': ['Northward Water Velocity', 'm s-1', 'NRTHWVEL'], '25': ['X-Component Water Velocity', 'm s-1', 'XCOMPWV'], '26': ['Y-Component Water Velocity', 'm s-1', 'YCOMPWV'], '27': ['Upward Water Velocity', 'm s-1', 'UPWWVEL'], '28': ['Vertical Eddy Diffusivity', 'm2 s-1', 'VEDDYDIF'], '29': ['Bottom Pressure Equivalent Height', 'm', 'BPEH'], '30': ['Fresh Water Flux into Sea Water from Rivers', 'kg m-2s-1', 'FWFSW'], '31': ['Fresh Water Flux Correction', 'kg m-2s-1', 'FWFC'], '32': ['Virtual Salt Flux into Sea Water', 'g kg-1 m-2s-1', 'VSFSW'], '33': ['Virtual Salt Flux Correction', 'g kg -1 m-2s-1', 'VSFC'], '34': ['Sea Water Temperature Tendency due to Newtonian Relaxation', 'K s-1', 'SWTTNR'], '35': ['Sea Water Salinity Tendency due to Newtonian Relaxation', 'g kg -1s-1', 'SWSTNR'], '36': ['Sea Water Temperature Tendency due to Parameterization', 'K s-1', 'SWTTP'], '37': ['Sea Water Salinity Tendency due to Parameterization', 'g kg -1s-1', 'SWSTP'], '38': ['Eastward Sea Water Velocity Tendency Due To Parameterization', 'm s-2', 'ESWVP'], '39': ['Northward Sea Water Velocity Tendency Due To Parameterization', 'm s-2', 'NSWVP'], '40': ['Sea Water Temperature Tendency Due to Direct Bias Correction', 'K s-1', 'SWTTBC'], '41': ['Sea Water Salinity Tendency due to Direct Bias Correction', 'g kg -1s-1', 'SWSTBC'], '42': ['Sea water meridional volume transport', 'm 3 m -2 s -1', 'SEAMVT'], '43': ['Sea water zonal volume transport', 'm 3 m -2 s -1', 'SEAZVT'], '44': ['Sea water column integrated meridional volume transport', 'm 3 m -2 s -1', 'SEACMVT'], '45': ['Sea water column integrated zonal volume transport', 'm 3 m -2 s -1', 'SEACZVT'], '46': ['Sea water meridional mass transport', 'kg m -2 s -1', 'SEAMMT'], '47': ['Sea water zonal mass transport', 'kg m -2 s -1', 'SEAZMT'], '48': ['Sea water column integrated meridional mass transport', 'kg m -2 s -1', 'SEACMMT'], '49': ['Sea water column integrated zonal mass transport', 'kg m -2 s -1', 'SEACZMT'], '50': ['Sea water column integrated practical salinity', 'g kg-1 m', 'SEACPSALT'], '51': ['Sea water column integrated salinity', 'kg kg-1 m', 'SEACSALT'], '52-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['3-D Temperature', '\u00b0 c', 'WTMPC'], '193': ['3-D Salinity', 'psu', 'SALIN'], '194': ['Barotropic Kinectic Energy', 'J kg-1', 'BKENG'], '195': ['Geometric Depth Below Sea Surface', 'm', 'DBSS'], '196': ['Interface Depths', 'm', 'INTFD'], '197': ['Ocean Heat Content', 'J m-2', 'OHC'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline10.table_4_2_10_191", "modulename": "grib2io.tables.section4_discipline10", "qualname": "table_4_2_10_191", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Seconds Prior To Initial Reference Time (Defined In Section 1)', 's', 'IRTSEC'], '1': ['Meridional Overturning Stream Function', 'm3 s-1', 'MOSF'], '2': ['Reserved', 'unknown', 'unknown'], '3': ['Days Since Last Observation', 'd', 'DSLOBSO'], '4': ['Barotropic Stream Function', 'm3 s-1', 'BARDSF'], '5-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2", "modulename": "grib2io.tables.section4_discipline2", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_0", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Land Cover (0=sea, 1=land)', 'Proportion', 'LAND'], '1': ['Surface Roughness', 'm', 'SFCR'], '2': ['Soil Temperature (Parameter Deprecated, see Note 3)', 'K', 'TSOIL'], '3': ['Soil Moisture Content (Parameter Deprecated, see Note 1)', 'unknown', 'unknown'], '4': ['Vegetation', '%', 'VEG'], '5': ['Water Runoff', 'kg m-2', 'WATR'], '6': ['Evapotranspiration', 'kg-2 s-1', 'EVAPT'], '7': ['Model Terrain Height', 'm', 'MTERH'], '8': ['Land Use', 'See Table 4.212', 'LANDU'], '9': ['Volumetric Soil Moisture Content', 'Proportion', 'SOILW'], '10': ['Ground Heat Flux', 'W m-2', 'GFLUX'], '11': ['Moisture Availability', '%', 'MSTAV'], '12': ['Exchange Coefficient', 'kg m-2 s-1', 'SFEXC'], '13': ['Plant Canopy Surface Water', 'kg m-2', 'CNWAT'], '14': ['Blackadars Mixing Length Scale', 'm', 'BMIXL'], '15': ['Canopy Conductance', 'm s-1', 'CCOND'], '16': ['Minimal Stomatal Resistance', 's m-1', 'RSMIN'], '17': ['Wilting Point (Parameter Deprecated, see Note 1)', 'Proportion', 'WILT'], '18': ['Solar parameter in canopy conductance', 'Proportion', 'RCS'], '19': ['Temperature parameter in canopy', 'Proportion', 'RCT'], '20': ['Humidity parameter in canopy conductance', 'Proportion', 'RCQ'], '21': ['Soil moisture parameter in canopy conductance', 'Proportion', 'RCSOL'], '22': ['Soil Moisture (Parameter Deprecated, See Note 3)', 'unknown', 'unknown'], '23': ['Column-Integrated Soil Water (Parameter Deprecated, See Note 3)', 'kg m-2', 'CISOILW'], '24': ['Heat Flux', 'W m-2', 'HFLUX'], '25': ['Volumetric Soil Moisture', 'm3 m-3', 'VSOILM'], '26': ['Wilting Point', 'kg m-3', 'WILT'], '27': ['Volumetric Wilting Point', 'm3 m-3', 'VWILTP'], '28': ['Leaf Area Index', 'Numeric', 'LEAINX'], '29': ['Evergreen Forest Cover', 'Proportion', 'EVGFC'], '30': ['Deciduous Forest Cover', 'Proportion', 'DECFC'], '31': ['Normalized Differential Vegetation Index (NDVI)', 'Numeric', 'NDVINX'], '32': ['Root Depth of Vegetation', 'm', 'RDVEG'], '33': ['Water Runoff and Drainage', 'kg m-2', 'WROD'], '34': ['Surface Water Runoff', 'kg m-2', 'SFCWRO'], '35': ['Tile Class', 'See Table 4.243', 'TCLASS'], '36': ['Tile Fraction', 'Proportion', 'TFRCT'], '37': ['Tile Percentage', '%', 'TPERCT'], '38': ['Soil Volumetric Ice Content (Water Equivalent)', 'm3 m-3', 'SOILVIC'], '39': ['Evapotranspiration Rate', 'kg m-2 s-1', 'EVAPTRAT'], '40': ['Potential Evapotranspiration Rate', 'kg m-2 s-1', 'PEVAPTRAT'], '41': ['Snow Melt Rate', 'kg m-2 s-1', 'SMRATE'], '42': ['Water Runoff and Drainage Rate', 'kg m-2 s-1', 'WRDRATE'], '43': ['Drainage direction', 'See Table 4.250', 'DRAINDIR'], '44': ['Upstream Area', 'm2', 'UPSAREA'], '45': ['Wetland Cover', 'Proportion', 'WETCOV'], '46': ['Wetland Type', 'See Table 4.239', 'WETTYPE'], '47': ['Irrigation Cover', 'Proportion', 'IRRCOV'], '48': ['C4 Crop Cover', 'Proportion', 'CROPCOV'], '49': ['C4 Grass Cover', 'Proportion', 'GRASSCOV'], '50': ['Skin Resovoir Content', 'kg m-2', 'SKINRC'], '51': ['Surface Runoff Rate', 'kg m-2 s-1', 'SURFRATE'], '52': ['Subsurface Runoff Rate', 'kg m-2 s-1', 'SUBSRATE'], '53': ['Low-Vegetation Cover', 'Proportion', 'LOVEGCOV'], '54': ['High-Vegetation Cover', 'Proportion', 'HIVEGCOV'], '55': ['Leaf Area Index (Low-Vegetation)', 'm2 m-2', 'LAILO'], '56': ['Leaf Area Index (High-Vegetation)', 'm2 m-2', 'LAIHI'], '57': ['Type of Low-Vegetation', 'See Table 4.234', 'TYPLOVEG'], '58': ['Type of High-Vegetation', 'See Table 4.234', 'TYPHIVEG'], '59': ['Net Ecosystem Exchange Flux', 'kg-2 s-1', 'NECOFLUX'], '60': ['Gross Primary Production Flux', 'kg-2 s-1', 'GROSSFLUX'], '61': ['Ecosystem Respiration Flux', 'kg-2 s-1', 'ECORFLUX'], '62': ['Emissivity', 'Proportion', 'EMISS'], '63': ['Canopy air temperature', 'K', 'CANTMP'], '64-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Volumetric Soil Moisture Content', 'Fraction', 'SOILW'], '193': ['Ground Heat Flux', 'W m-2', 'GFLUX'], '194': ['Moisture Availability', '%', 'MSTAV'], '195': ['Exchange Coefficient', '(kg m-3) (m s-1)', 'SFEXC'], '196': ['Plant Canopy Surface Water', 'kg m-2', 'CNWAT'], '197': ['Blackadar\u2019s Mixing Length Scale', 'm', 'BMIXL'], '198': ['Vegetation Type', 'Integer (0-13)', 'VGTYP'], '199': ['Canopy Conductance', 'm s-1', 'CCOND'], '200': ['Minimal Stomatal Resistance', 's m-1', 'RSMIN'], '201': ['Wilting Point', 'Fraction', 'WILT'], '202': ['Solar parameter in canopy conductance', 'Fraction', 'RCS'], '203': ['Temperature parameter in canopy conductance', 'Fraction', 'RCT'], '204': ['Humidity parameter in canopy conductance', 'Fraction', 'RCQ'], '205': ['Soil moisture parameter in canopy conductance', 'Fraction', 'RCSOL'], '206': ['Rate of water dropping from canopy to ground', 'unknown', 'RDRIP'], '207': ['Ice-free water surface', '%', 'ICWAT'], '208': ['Surface exchange coefficients for T and Q divided by delta z', 'm s-1', 'AKHS'], '209': ['Surface exchange coefficients for U and V divided by delta z', 'm s-1', 'AKMS'], '210': ['Vegetation canopy temperature', 'K', 'VEGT'], '211': ['Surface water storage', 'kg m-2', 'SSTOR'], '212': ['Liquid soil moisture content (non-frozen)', 'kg m-2', 'LSOIL'], '213': ['Open water evaporation (standing water)', 'W m-2', 'EWATR'], '214': ['Groundwater recharge', 'kg m-2', 'GWREC'], '215': ['Flood plain recharge', 'kg m-2', 'QREC'], '216': ['Roughness length for heat', 'm', 'SFCRH'], '217': ['Normalized Difference Vegetation Index', 'unknown', 'NDVI'], '218': ['Land-sea coverage (nearest neighbor) [land=1,sea=0]', 'unknown', 'LANDN'], '219': ['Asymptotic mixing length scale', 'm', 'AMIXL'], '220': ['Water vapor added by precip assimilation', 'kg m-2', 'WVINC'], '221': ['Water condensate added by precip assimilation', 'kg m-2', 'WCINC'], '222': ['Water Vapor Flux Convergance (Vertical Int)', 'kg m-2', 'WVCONV'], '223': ['Water Condensate Flux Convergance (Vertical Int)', 'kg m-2', 'WCCONV'], '224': ['Water Vapor Zonal Flux (Vertical Int)', 'kg m-2', 'WVUFLX'], '225': ['Water Vapor Meridional Flux (Vertical Int)', 'kg m-2', 'WVVFLX'], '226': ['Water Condensate Zonal Flux (Vertical Int)', 'kg m-2', 'WCUFLX'], '227': ['Water Condensate Meridional Flux (Vertical Int)', 'kg m-2', 'WCVFLX'], '228': ['Aerodynamic conductance', 'm s-1', 'ACOND'], '229': ['Canopy water evaporation', 'W m-2', 'EVCW'], '230': ['Transpiration', 'W m-2', 'TRANS'], '231': ['Seasonally Minimum Green Vegetation Fraction (over 1-year period)', '%', 'VEGMIN'], '232': ['Seasonally Maximum Green Vegetation Fraction (over 1-year period)', '%', 'VEGMAX'], '233': ['Land Fraction', 'Fraction', 'LANDFRC'], '234': ['Lake Fraction', 'Fraction', 'LAKEFRC'], '235': ['Precipitation Advected Heat Flux', 'W m-2', 'PAHFLX'], '236': ['Water Storage in Aquifer', 'kg m-2', 'WATERSA'], '237': ['Evaporation of Intercepted Water', 'kg m-2', 'EIWATER'], '238': ['Plant Transpiration', 'kg m-2', 'PLANTTR'], '239': ['Soil Surface Evaporation', 'kg m-2', 'SOILSE'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_1", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_1", "kind": "variable", "doc": "\n", "default_value": "{'0-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Cold Advisory for Newborn Livestock', 'unknown', 'CANL'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_3", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Soil Type', 'See Table 4.213', 'SOTYP'], '1': ['Upper Layer Soil Temperature', 'K', 'UPLST'], '2': ['Upper Layer Soil Moisture', 'kg m-3', 'UPLSM'], '3': ['Lower Layer Soil Moisture', 'kg m-3', 'LOWLSM'], '4': ['Bottom Layer Soil Temperature', 'K', 'BOTLST'], '5': ['Liquid Volumetric Soil Moisture(non-frozen)', 'Proportion', 'SOILL'], '6': ['Number of Soil Layers in Root Zone', 'Numeric', 'RLYRS'], '7': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '8': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '9': ['Soil Porosity', 'Proportion', 'POROS'], '10': ['Liquid Volumetric Soil Moisture (Non-Frozen)', 'm3 m-3', 'LIQVSM'], '11': ['Volumetric Transpiration Stree-Onset(Soil Moisture)', 'm3 m-3', 'VOLTSO'], '12': ['Transpiration Stree-Onset(Soil Moisture)', 'kg m-3', 'TRANSO'], '13': ['Volumetric Direct Evaporation Cease(Soil Moisture)', 'm3 m-3', 'VOLDEC'], '14': ['Direct Evaporation Cease(Soil Moisture)', 'kg m-3', 'DIREC'], '15': ['Soil Porosity', 'm3 m-3', 'SOILP'], '16': ['Volumetric Saturation Of Soil Moisture', 'm3 m-3', 'VSOSM'], '17': ['Saturation Of Soil Moisture', 'kg m-3', 'SATOSM'], '18': ['Soil Temperature', 'K', 'SOILTMP'], '19': ['Soil Moisture', 'kg m-3', 'SOILMOI'], '20': ['Column-Integrated Soil Moisture', 'kg m-2', 'CISOILM'], '21': ['Soil Ice', 'kg m-3', 'SOILICE'], '22': ['Column-Integrated Soil Ice', 'kg m-2', 'CISICE'], '23': ['Liquid Water in Snow Pack', 'kg m-2', 'LWSNWP'], '24': ['Frost Index', 'kg day-1', 'FRSTINX'], '25': ['Snow Depth at Elevation Bands', 'kg m-2', 'SNWDEB'], '26': ['Soil Heat Flux', 'W m-2', 'SHFLX'], '27': ['Soil Depth', 'm', 'SOILDEP'], '28': ['Snow Temperature', 'K', 'SNOWTMP'], '29': ['Ice Temperature', 'K', 'ICETMP'], '30': ['Soil wetness index', 'Numeric', 'SWET'], '31-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Liquid Volumetric Soil Moisture (non Frozen)', 'Proportion', 'SOILL'], '193': ['Number of Soil Layers in Root Zone', 'non-dim', 'RLYRS'], '194': ['Surface Slope Type', 'Index', 'SLTYP'], '195': ['Transpiration Stress-onset (soil moisture)', 'Proportion', 'SMREF'], '196': ['Direct Evaporation Cease (soil moisture)', 'Proportion', 'SMDRY'], '197': ['Soil Porosity', 'Proportion', 'POROS'], '198': ['Direct Evaporation from Bare Soil', 'W m-2', 'EVBS'], '199': ['Land Surface Precipitation Accumulation', 'kg m-2', 'LSPA'], '200': ['Bare Soil Surface Skin temperature', 'K', 'BARET'], '201': ['Average Surface Skin Temperature', 'K', 'AVSFT'], '202': ['Effective Radiative Skin Temperature', 'K', 'RADT'], '203': ['Field Capacity', 'Fraction', 'FLDCP'], '204': ['Soil Moisture Availability In The Top Soil Layer', '%', 'MSTAV'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_4", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Fire Outlook', 'See Table 4.224', 'FIREOLK'], '1': ['Fire Outlook Due to Dry Thunderstorm', 'See Table 4.224', 'FIREODT'], '2': ['Haines Index', 'Numeric', 'HINDEX'], '3': ['Fire Burned Area', '%', 'FBAREA'], '4': ['Fosberg Index', 'Numeric', 'FOSINDX'], '5': ['Fire Weath Index (Canadian Forest Service)', 'Numeric', 'FWINX'], '6': ['Fine Fuel Moisture Code (Canadian Forest Service)', 'Numeric', 'FFMCODE'], '7': ['Duff Moisture Code (Canadian Forest Service)', 'Numeric', 'DUFMCODE'], '8': ['Drought Code (Canadian Forest Service)', 'Numeric', 'DRTCODE'], '9': ['Initial Fire Spread Index (Canadian Forest Service)', 'Numeric', 'INFSINX'], '10': ['Fire Build Up Index (Canadian Forest Service)', 'Numeric', 'FBUPINX'], '11': ['Fire Daily Severity Rating (Canadian Forest Service)', 'Numeric', 'FDSRTE'], '12': ['Keetch-Byram Drought Index', 'Numeric', 'KRIDX'], '13': ['Drought Factor (as defined by the Australian forest service)', 'Numeric', 'DRFACT'], '14': ['Rate of Spread (as defined by the Australian forest service)', 'm s-1', 'RATESPRD'], '15': ['Fire Danger index (as defined by the Australian forest service)', 'Numeric', 'FIREDIDX'], '16': ['Spread component (as defined by the US Forest Service National Fire Danger Rating System)', 'Numeric', 'SPRDCOMP'], '17': ['Burning Index (as defined by the Australian forest service)', 'Numeric', 'BURNIDX'], '18': ['Ignition Component (as defined by the Australian forest service)', '%', 'IGNCOMP'], '19': ['Energy Release Component (as defined by the Australian forest service)', 'J m-2', 'ENRELCOM'], '20': ['Burning Area', '%', 'BURNAREA'], '21': ['Burnable Area', '%', 'BURNABAREA'], '22': ['Unburnable Area', '%', 'UNBURNAREA'], '23': ['Fuel Load', 'kg m-2', 'FUELLOAD'], '24': ['Combustion Completeness', '%', 'COMBCO'], '25': ['Fuel Moisture Content', 'kg kg-1', 'FUELMC'], '26': ['Wildfire Potential (as defined by NOAA Global Systems Laboratory)', 'Numeric', 'WFIREPOT'], '27': ['Live leaf fuel load', 'kg m-2', 'LLFL'], '28': ['Live wood fuel load', 'kg m-2', 'LWFL'], '29': ['Dead leaf fuel load', 'kg m-2', 'DLFL'], '30': ['Dead wood fuel load', 'kg m-2', 'DWFL'], '31': ['Live fuel moisture content', 'kg kg-1', 'LFMC'], '32': ['Fine dead leaf moisture content', 'kg kg-1', 'FDLMC'], '33': ['Dense dead leaf moisture content', 'kg kg-1', 'DDLMC'], '34': ['Fine dead wood moisture content', 'kg kg-1', 'FDWMC'], '35': ['Dense dead wood moisture content', 'kg kg-1', 'DDWMC'], '36': ['Fire radiative power\\t(Tentatively accpeted)', 'W', 'FRADPOW'], '37-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline2.table_4_2_2_5", "modulename": "grib2io.tables.section4_discipline2", "qualname": "table_4_2_2_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Glacier Cover', 'Proportion', 'GLACCOV'], '1': ['Glacier Temperature', 'K', 'GLACTMP'], '2-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20", "modulename": "grib2io.tables.section4_discipline20", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_0", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Universal Thermal Climate Index', 'K', 'UTHCIDX'], '1': ['Mean Radiant Temperature', 'K', 'MEANRTMP'], '2': ['Wet-bulb Globe Temperature (see Note)', 'K', 'WETBGTMP'], '3': ['Globe Temperature (see Note)', 'K', 'GLOBETMP'], '4': ['Humidex', 'K', 'HUMIDX'], '5': ['Effective Temperature', 'K', 'EFFTEMP'], '6': ['Normal Effective Temperature', 'K', 'NOREFTMP'], '7': ['Standard Effective Temperature', 'K', 'STDEFTMP'], '8': ['Physiological Equivalent Temperature', 'K', 'PEQUTMP'], '9-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_1", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Malaria Cases', 'Fraction', 'MALACASE'], '1': ['Malaria Circumsporozoite Protein Rate', 'Fraction', 'MACPRATE'], '2': ['Plasmodium Falciparum Entomological Inoculation Rate', 'Bites per day per person', 'PFEIRATE'], '3': ['Human Bite Rate by Anopheles Vectors', 'Bites per day per person', 'HBRATEAV'], '4': ['Malaria Immunity', 'Fraction', 'MALAIMM'], '5': ['Falciparum Parasite Rates', 'Fraction', 'FALPRATE'], '6': ['Detectable Falciparum Parasite Ratio (after day 10)', 'Fraction', 'DFPRATIO'], '7': ['Anopheles Vector to Host Ratio', 'Fraction', 'AVHRATIO'], '8': ['Anopheles Vector Number', 'Number m-2', 'AVECTNUM'], '9': ['Fraction of Malarial Vector Reproductive Habitat', 'Fraction', 'FMALVRH'], '10-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline20.table_4_2_20_2", "modulename": "grib2io.tables.section4_discipline20", "qualname": "table_4_2_20_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Population Density', 'Person m-2', 'POPDEN'], '1-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3", "modulename": "grib2io.tables.section4_discipline3", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_0", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Scaled Radiance', 'Numeric', 'SRAD'], '1': ['Scaled Albedo', 'Numeric', 'SALBEDO'], '2': ['Scaled Brightness Temperature', 'Numeric', 'SBTMP'], '3': ['Scaled Precipitable Water', 'Numeric', 'SPWAT'], '4': ['Scaled Lifted Index', 'Numeric', 'SLFTI'], '5': ['Scaled Cloud Top Pressure', 'Numeric', 'SCTPRES'], '6': ['Scaled Skin Temperature', 'Numeric', 'SSTMP'], '7': ['Cloud Mask', 'See Table 4.217', 'CLOUDM'], '8': ['Pixel scene type', 'See Table 4.218', 'PIXST'], '9': ['Fire Detection Indicator', 'See Table 4.223', 'FIREDI'], '10-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_1", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Estimated Precipitation', 'kg m-2', 'ESTP'], '1': ['Instantaneous Rain Rate', 'kg m-2 s-1', 'IRRATE'], '2': ['Cloud Top Height', 'm', 'CTOPH'], '3': ['Cloud Top Height Quality Indicator', 'Code table 4.219', 'CTOPHQI'], '4': ['Estimated u-Component of Wind', 'm s-1', 'ESTUGRD'], '5': ['Estimated v-Component of Wind', 'm s-1', 'ESTVGRD'], '6': ['Number Of Pixels Used', 'Numeric', 'NPIXU'], '7': ['Solar Zenith Angle', '\u00b0', 'SOLZA'], '8': ['Relative Azimuth Angle', '\u00b0', 'RAZA'], '9': ['Reflectance in 0.6 Micron Channel', '%', 'RFL06'], '10': ['Reflectance in 0.8 Micron Channel', '%', 'RFL08'], '11': ['Reflectance in 1.6 Micron Channel', '%', 'RFL16'], '12': ['Reflectance in 3.9 Micron Channel', '%', 'RFL39'], '13': ['Atmospheric Divergence', 's-1', 'ATMDIV'], '14': ['Cloudy Brightness Temperature', 'K', 'CBTMP'], '15': ['Clear Sky Brightness Temperature', 'K', 'CSBTMP'], '16': ['Cloudy Radiance (with respect to wave number)', 'W m-1 sr-1', 'CLDRAD'], '17': ['Clear Sky Radiance (with respect to wave number)', 'W m-1 sr-1', 'CSKYRAD'], '18': ['Reserved', 'unknown', 'unknown'], '19': ['Wind Speed', 'm s-1', 'WINDS'], '20': ['Aerosol Optical Thickness at 0.635 \u00b5m', 'unknown', 'AOT06'], '21': ['Aerosol Optical Thickness at 0.810 \u00b5m', 'unknown', 'AOT08'], '22': ['Aerosol Optical Thickness at 1.640 \u00b5m', 'unknown', 'AOT16'], '23': ['Angstrom Coefficient', 'unknown', 'ANGCOE'], '24-26': ['Reserved', 'unknown', 'unknown'], '27': ['Bidirectional Reflecance Factor', 'Numeric', 'BRFLF'], '28': ['Brightness Temperature', 'K', 'SPBRT'], '29': ['Scaled Radiance', 'Numeric', 'SCRAD'], '30': ['Reflectance in 0.4 Micron Channel', '%', 'RFL04'], '31': ['Cloudy reflectance', '%', 'CLDREF'], '32': ['Clear reflectance', '%', 'CLRREF'], '33-97': ['Reserved', 'unknown', 'unknown'], '98': ['Correlation coefficient between MPE rain rates for the co-located IR data and the microwave data rain rates', 'Numeric', 'CCMPEMRR'], '99': ['Standard deviation between MPE rain rates for the co-located IR data and the microwave data rain rates', 'Numeric', 'SDMPEMRR'], '100-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '192': ['Scatterometer Estimated U Wind Component', 'm s-1', 'USCT'], '193': ['Scatterometer Estimated V Wind Component', 'm s-1', 'VSCT'], '194': ['Scatterometer Wind Quality', 'unknown', 'SWQI'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_2", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Clear Sky Probability', '%', 'CSKPROB'], '1': ['Cloud Top Temperature', 'K', 'CTOPTMP'], '2': ['Cloud Top Pressure', 'Pa', 'CTOPRES'], '3': ['Cloud Type', 'See Table 4.218', 'CLDTYPE'], '4': ['Cloud Phase', 'See Table 4.218', 'CLDPHAS'], '5': ['Cloud Optical Depth', 'Numeric', 'CLDODEP'], '6': ['Cloud Particle Effective Radius', 'm', 'CLDPER'], '7': ['Cloud Liquid Water Path', 'kg m-2', 'CLDLWP'], '8': ['Cloud Ice Water Path', 'kg m-2', 'CLDIWP'], '9': ['Cloud Albedo', 'Numeric', 'CLDALB'], '10': ['Cloud Emissivity', 'Numeric', 'CLDEMISS'], '11': ['Effective Absorption Optical Depth Ratio', 'Numeric', 'EAODR'], '12-29': ['Reserved', 'unknown', 'unknown'], '30': ['Measurement cost', 'Numeric', 'MEACST'], '41-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_3", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Probability of Encountering Marginal Visual Flight Rules Conditions', '%', 'PBMVFRC'], '1': ['Probability of Encountering Low Instrument Flight Rules Conditions', '%', 'PBLIFRC'], '2': ['Probability of Encountering Instrument Flight Rules Conditions', '%', 'PBINFRC'], '3-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_4", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Volcanic Ash Probability', '%', 'VOLAPROB'], '1': ['Volcanic Ash Cloud Top Temperature', 'K', 'VOLACDTT'], '2': ['Volcanic Ash Cloud Top Pressure', 'Pa', 'VOLACDTP'], '3': ['Volcanic Ash Cloud Top Height', 'm', 'VOLACDTH'], '4': ['Volcanic Ash Cloud Emissity', 'Numeric', 'VOLACDEM'], '5': ['Volcanic Ash Effective Absorption Depth Ratio', 'Numeric', 'VOLAEADR'], '6': ['Volcanic Ash Cloud Optical Depth', 'Numeric', 'VOLACDOD'], '7': ['Volcanic Ash Column Density', 'kg m-2', 'VOLACDEN'], '8': ['Volcanic Ash Particle Effective Radius', 'm', 'VOLAPER'], '9-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_5", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Interface Sea-Surface Temperature', 'K', 'ISSTMP'], '1': ['Skin Sea-Surface Temperature', 'K', 'SKSSTMP'], '2': ['Sub-Skin Sea-Surface Temperature', 'K', 'SSKSSTMP'], '3': ['Foundation Sea-Surface Temperature', 'K', 'FDNSSTMP'], '4': ['Estimated bias between Sea-Surface Temperature and Standard', 'K', 'EBSSTSTD'], '5': ['Estimated bias Standard Deviation between Sea-Surface Temperature and Standard', 'K', 'EBSDSSTS'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_6", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Global Solar Irradiance', 'W m-2', 'GSOLIRR'], '1': ['Global Solar Exposure', 'J m-2', 'GSOLEXP'], '2': ['Direct Solar Irradiance', 'W m-2', 'DIRSOLIR'], '3': ['Direct Solar Exposure', 'J m-2', 'DIRSOLEX'], '4': ['Diffuse Solar Irradiance', 'W m-2', 'DIFSOLIR'], '5': ['Diffuse Solar Exposure', 'J m-2', 'DIFSOLEX'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline3.table_4_2_3_192", "modulename": "grib2io.tables.section4_discipline3", "qualname": "table_4_2_3_192", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Simulated Brightness Temperature for GOES 12, Channel 2', 'K', 'SBT122'], '1': ['Simulated Brightness Temperature for GOES 12, Channel 3', 'K', 'SBT123'], '2': ['Simulated Brightness Temperature for GOES 12, Channel 4', 'K', 'SBT124'], '3': ['Simulated Brightness Temperature for GOES 12, Channel 6', 'K', 'SBT126'], '4': ['Simulated Brightness Counts for GOES 12, Channel 3', 'Byte', 'SBC123'], '5': ['Simulated Brightness Counts for GOES 12, Channel 4', 'Byte', 'SBC124'], '6': ['Simulated Brightness Temperature for GOES 11, Channel 2', 'K', 'SBT112'], '7': ['Simulated Brightness Temperature for GOES 11, Channel 3', 'K', 'SBT113'], '8': ['Simulated Brightness Temperature for GOES 11, Channel 4', 'K', 'SBT114'], '9': ['Simulated Brightness Temperature for GOES 11, Channel 5', 'K', 'SBT115'], '10': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 9', 'K', 'AMSRE9'], '11': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 10', 'K', 'AMSRE10'], '12': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 11', 'K', 'AMSRE11'], '13': ['Simulated Brightness Temperature for AMSRE on Aqua, Channel 12', 'K', 'AMSRE12'], '14': ['Simulated Reflectance Factor for ABI GOES-16, Band-1', 'unknown', 'SRFA161'], '15': ['Simulated Reflectance Factor for ABI GOES-16, Band-2', 'unknown', 'SRFA162'], '16': ['Simulated Reflectance Factor for ABI GOES-16, Band-3', 'unknown', 'SRFA163'], '17': ['Simulated Reflectance Factor for ABI GOES-16, Band-4', 'unknown', 'SRFA164'], '18': ['Simulated Reflectance Factor for ABI GOES-16, Band-5', 'unknown', 'SRFA165'], '19': ['Simulated Reflectance Factor for ABI GOES-16, Band-6', 'unknown', 'SRFA166'], '20': ['Simulated Brightness Temperature for ABI GOES-16, Band-7', 'K', 'SBTA167'], '21': ['Simulated Brightness Temperature for ABI GOES-16, Band-8', 'K', 'SBTA168'], '22': ['Simulated Brightness Temperature for ABI GOES-16, Band-9', 'K', 'SBTA169'], '23': ['Simulated Brightness Temperature for ABI GOES-16, Band-10', 'K', 'SBTA1610'], '24': ['Simulated Brightness Temperature for ABI GOES-16, Band-11', 'K', 'SBTA1611'], '25': ['Simulated Brightness Temperature for ABI GOES-16, Band-12', 'K', 'SBTA1612'], '26': ['Simulated Brightness Temperature for ABI GOES-16, Band-13', 'K', 'SBTA1613'], '27': ['Simulated Brightness Temperature for ABI GOES-16, Band-14', 'K', 'SBTA1614'], '28': ['Simulated Brightness Temperature for ABI GOES-16, Band-15', 'K', 'SBTA1615'], '29': ['Simulated Brightness Temperature for ABI GOES-16, Band-16', 'K', 'SBTA1616'], '30': ['Simulated Reflectance Factor for ABI GOES-17, Band-1', 'unknown', 'SRFA171'], '31': ['Simulated Reflectance Factor for ABI GOES-17, Band-2', 'unknown', 'SRFA172'], '32': ['Simulated Reflectance Factor for ABI GOES-17, Band-3', 'unknown', 'SRFA173'], '33': ['Simulated Reflectance Factor for ABI GOES-17, Band-4', 'unknown', 'SRFA174'], '34': ['Simulated Reflectance Factor for ABI GOES-17, Band-5', 'unknown', 'SRFA175'], '35': ['Simulated Reflectance Factor for ABI GOES-17, Band-6', 'unknown', 'SRFA176'], '36': ['Simulated Brightness Temperature for ABI GOES-17, Band-7', 'K', 'SBTA177'], '37': ['Simulated Brightness Temperature for ABI GOES-17, Band-8', 'K', 'SBTA178'], '38': ['Simulated Brightness Temperature for ABI GOES-17, Band-9', 'K', 'SBTA179'], '39': ['Simulated Brightness Temperature for ABI GOES-17, Band-10', 'K', 'SBTA1710'], '40': ['Simulated Brightness Temperature for ABI GOES-17, Band-11', 'K', 'SBTA1711'], '41': ['Simulated Brightness Temperature for ABI GOES-17, Band-12', 'K', 'SBTA1712'], '42': ['Simulated Brightness Temperature for ABI GOES-17, Band-13', 'K', 'SBTA1713'], '43': ['Simulated Brightness Temperature for ABI GOES-17, Band-14', 'K', 'SBTA1714'], '44': ['Simulated Brightness Temperature for ABI GOES-17, Band-15', 'K', 'SBTA1715'], '45': ['Simulated Brightness Temperature for ABI GOES-17, Band-16', 'K', 'SBTA1716'], '46': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-1', 'unknown', 'SRFAGR1'], '47': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-2', 'unknown', 'SRFAGR2'], '48': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-3', 'unknown', 'SRFAGR3'], '49': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-4', 'unknown', 'SRFAGR4'], '50': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-5', 'unknown', 'SRFAGR5'], '51': ['Simulated Reflectance Factor for nadir ABI GOES-R, Band-6', 'unknown', 'SRFAGR6'], '52': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-7', 'unknown', 'SBTAGR7'], '53': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-8', 'unknown', 'SBTAGR8'], '54': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-9', 'unknown', 'SBTAGR9'], '55': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-10', 'unknown', 'SBTAGR10'], '56': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-11', 'unknown', 'SBTAGR11'], '57': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-12', 'unknown', 'SBTAGR12'], '58': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-13', 'unknown', 'SBTAGR13'], '59': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-14', 'unknown', 'SBTAGR14'], '60': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-15', 'unknown', 'SBTAGR15'], '61': ['Simulated Brightness Temperature for nadir ABI GOES-R, Band-16', 'unknown', 'SBTAGR16'], '62': ['Simulated Brightness Temperature for SSMIS-F17, Channel 15', 'K', 'SSMS1715'], '63': ['Simulated Brightness Temperature for SSMIS-F17, Channel 16', 'K', 'SSMS1716'], '64': ['Simulated Brightness Temperature for SSMIS-F17, Channel 17', 'K', 'SSMS1717'], '65': ['Simulated Brightness Temperature for SSMIS-F17, Channel 18', 'K', 'SSMS1718'], '66': ['Simulated Brightness Temperature for Himawari-8, Band-7', 'K', 'SBTAHI7'], '67': ['Simulated Brightness Temperature for Himawari-8, Band-8', 'K', 'SBTAHI8'], '68': ['Simulated Brightness Temperature for Himawari-8, Band-9', 'K', 'SBTAHI9'], '69': ['Simulated Brightness Temperature for Himawari-8, Band-10', 'K', 'SBTAHI10'], '70': ['Simulated Brightness Temperature for Himawari-8, Band-11', 'K', 'SBTAHI11'], '71': ['Simulated Brightness Temperature for Himawari-8, Band-12', 'K', 'SBTAHI12'], '72': ['Simulated Brightness Temperature for Himawari-8, Band-13', 'K', 'SBTAHI13'], '73': ['Simulated Brightness Temperature for Himawari-8, Band-14', 'K', 'SBTAHI14'], '74': ['Simulated Brightness Temperature for Himawari-8, Band-15', 'K', 'SBTAHI15'], '75': ['Simulated Brightness Temperature for Himawari-8, Band-16', 'K', 'SBTAHI16'], '76': ['Simulated Brightness Temperature for ABI GOES-18, Band-7', 'K', 'SBTA187'], '77': ['Simulated Brightness Temperature for ABI GOES-18, Band-8', 'K', 'SBTA188'], '78': ['Simulated Brightness Temperature for ABI GOES-18, Band-9', 'K', 'SBTA189'], '79': ['Simulated Brightness Temperature for ABI GOES-18, Band-10', 'K', 'SBTA1810'], '80': ['Simulated Brightness Temperature for ABI GOES-18, Band-11', 'K', 'SBTA1811'], '81': ['Simulated Brightness Temperature for ABI GOES-18, Band-12', 'K', 'SBTA1812'], '82': ['Simulated Brightness Temperature for ABI GOES-18, Band-13', 'K', 'SBTA1813'], '83': ['Simulated Brightness Temperature for ABI GOES-18, Band-14', 'K', 'SBTA1814'], '84': ['Simulated Brightness Temperature for ABI GOES-18, Band-15', 'K', 'SBTA1815'], '85': ['Simulated Brightness Temperature for ABI GOES-18, Band-16', 'K', 'SBTA1816'], '86-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4", "modulename": "grib2io.tables.section4_discipline4", "kind": "module", "doc": "\n"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_0", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_0", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Temperature', 'K', 'TMPSWP'], '1': ['Electron Temperature', 'K', 'ELECTMP'], '2': ['Proton Temperature', 'K', 'PROTTMP'], '3': ['Ion Temperature', 'K', 'IONTMP'], '4': ['Parallel Temperature', 'K', 'PRATMP'], '5': ['Perpendicular Temperature', 'K', 'PRPTMP'], '6-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_1", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_1", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Velocity Magnitude (Speed)', 'm s-1', 'SPEED'], '1': ['1st Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL1'], '2': ['2nd Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL2'], '3': ['3rd Vector Component of Velocity (Coordinate system dependent)', 'm s-1', 'VEL3'], '4-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_2", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_2", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Particle Number Density', 'm-3', 'PLSMDEN'], '1': ['Electron Density', 'm-3', 'ELCDEN'], '2': ['Proton Density', 'm-3', 'PROTDEN'], '3': ['Ion Density', 'm-3', 'IONDEN'], '4': ['Vertical Total Electron Content', 'TECU', 'VTEC'], '5': ['HF Absorption Frequency', 'Hz', 'ABSFRQ'], '6': ['HF Absorption', 'dB', 'ABSRB'], '7': ['Spread F', 'm', 'SPRDF'], '8': ['hF', 'm', 'HPRIMF'], '9': ['Critical Frequency', 'Hz', 'CRTFRQ'], '10': ['Maximal Usable Frequency (MUF)', 'Hz', 'MAXUFZ'], '11': ['Peak Height (hm)', 'm', 'PEAKH'], '12': ['Peak Density', 'm-3', 'PEAKDEN'], '13': ['Equivalent Slab Thickness (tau)', 'km', 'EQSLABT'], '14-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_3", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_3", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Magnetic Field Magnitude', 'T', 'BTOT'], '1': ['1st Vector Component of Magnetic Field', 'T', 'BVEC1'], '2': ['2nd Vector Component of Magnetic Field', 'T', 'BVEC2'], '3': ['3rd Vector Component of Magnetic Field', 'T', 'BVEC3'], '4': ['Electric Field Magnitude', 'V m-1', 'ETOT'], '5': ['1st Vector Component of Electric Field', 'V m-1', 'EVEC1'], '6': ['2nd Vector Component of Electric Field', 'V m-1', 'EVEC2'], '7': ['3rd Vector Component of Electric Field', 'V m-1', 'EVEC3'], '8-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_4", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_4", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Proton Flux (Differential)', '(m2 s sr eV)-1', 'DIFPFLUX'], '1': ['Proton Flux (Integral)', '(m2 s sr)-1', 'INTPFLUX'], '2': ['Electron Flux (Differential)', '(m2 s sr eV)-1', 'DIFEFLUX'], '3': ['Electron Flux (Integral)', '(m2 s sr)-1', 'INTEFLUX'], '4': ['Heavy Ion Flux (Differential)', '(m2 s sr eV / nuc)-1', 'DIFIFLUX'], '5': ['Heavy Ion Flux (iIntegral)', '(m2 s sr)-1', 'INTIFLUX'], '6': ['Cosmic Ray Neutron Flux', 'h-1', 'NTRNFLUX'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_5", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_5", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Amplitude', 'rad', 'AMPL'], '1': ['Phase', 'rad', 'PHASE'], '2': ['Frequency', 'Hz', 'FREQ'], '3': ['Wavelength', 'm', 'WAVELGTH'], '4-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for Local Use', 'unknown', 'unknown'], '255': ['Missing', 'unknown', 'unknown']}"}, {"fullname": "grib2io.tables.section4_discipline4.table_4_2_4_6", "modulename": "grib2io.tables.section4_discipline4", "qualname": "table_4_2_4_6", "kind": "variable", "doc": "\n", "default_value": "{'0': ['Integrated Solar Irradiance', 'W m-2', 'TSI'], '1': ['Solar X-ray Flux (XRS Long)', 'W m-2', 'XLONG'], '2': ['Solar X-ray Flux (XRS Short)', 'W m-2', 'XSHRT'], '3': ['Solar EUV Irradiance', 'W m-2', 'EUVIRR'], '4': ['Solar Spectral Irradiance', 'W m-2 nm-1', 'SPECIRR'], '5': ['F10.7', 'W m-2 Hz-1', 'F107'], '6': ['Solar Radio Emissions', 'W m-2 Hz-1', 'SOLRF'], '7-191': ['Reserved', 'unknown', 'unknown'], '192-254': ['Reserved for 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\n"}, {"fullname": "grib2io.templates.Grib2Metadata", "modulename": "grib2io.templates", "qualname": "Grib2Metadata", "kind": "class", "doc": "Class to hold GRIB2 metadata both as numeric code value as stored in\nGRIB2 and its plain langauge definition.
\n\nvalue : int\n GRIB2 metadata integer code value.
table : str, optional\n GRIB2 table to lookup the value. Default is None.
definition : str\n Plain language description of numeric metadata.
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\n"}, {"fullname": "grib2io.templates.OriginatingCenter", "modulename": "grib2io.templates", "qualname": "OriginatingCenter", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.OriginatingSubCenter", "modulename": "grib2io.templates", "qualname": "OriginatingSubCenter", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.MasterTableInfo", "modulename": "grib2io.templates", "qualname": "MasterTableInfo", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.LocalTableInfo", "modulename": "grib2io.templates", "qualname": "LocalTableInfo", "kind": "class", "doc": "GRIB2 Local Tables Version Number
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\n"}, {"fullname": "grib2io.templates.Year", "modulename": "grib2io.templates", "qualname": "Year", "kind": "class", "doc": "Year of reference time
\n"}, {"fullname": "grib2io.templates.Month", "modulename": "grib2io.templates", "qualname": "Month", "kind": "class", "doc": "Month of reference time
\n"}, {"fullname": "grib2io.templates.Day", "modulename": "grib2io.templates", "qualname": "Day", "kind": "class", "doc": "Day of reference time
\n"}, {"fullname": "grib2io.templates.Hour", "modulename": "grib2io.templates", "qualname": "Hour", "kind": "class", "doc": "Hour of reference time
\n"}, {"fullname": "grib2io.templates.Minute", "modulename": "grib2io.templates", "qualname": "Minute", "kind": "class", "doc": "Minute of reference time
\n"}, {"fullname": "grib2io.templates.Second", "modulename": "grib2io.templates", "qualname": "Second", "kind": "class", "doc": "Second of reference time
\n"}, {"fullname": "grib2io.templates.RefDate", "modulename": "grib2io.templates", "qualname": "RefDate", "kind": "class", "doc": "Reference Date. NOTE: This is a datetime.datetime object.
Production Status of Processed Data
\n"}, {"fullname": "grib2io.templates.TypeOfData", "modulename": "grib2io.templates", "qualname": "TypeOfData", "kind": "class", "doc": "Type of Processed Data in this GRIB message
\n"}, {"fullname": "grib2io.templates.GridDefinitionSection", "modulename": "grib2io.templates", "qualname": "GridDefinitionSection", "kind": "class", "doc": "GRIB2 Section 3, Grid Definition Section
\n"}, {"fullname": "grib2io.templates.SourceOfGridDefinition", "modulename": "grib2io.templates", "qualname": "SourceOfGridDefinition", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.NumberOfDataPoints", "modulename": "grib2io.templates", "qualname": "NumberOfDataPoints", "kind": "class", "doc": "Number of Data Points
\n"}, {"fullname": "grib2io.templates.InterpretationOfListOfNumbers", "modulename": "grib2io.templates", "qualname": "InterpretationOfListOfNumbers", "kind": "class", "doc": "Interpretation of List of Numbers
\n"}, {"fullname": "grib2io.templates.GridDefinitionTemplateNumber", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplateNumber", "kind": "class", "doc": "Grid Definition Template Number
\n"}, {"fullname": "grib2io.templates.GridDefinitionTemplate", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate", "kind": "class", "doc": "Grid definition template
\n"}, {"fullname": "grib2io.templates.EarthParams", "modulename": "grib2io.templates", "qualname": "EarthParams", "kind": "class", "doc": "Metadata about the shape of the Earth
\n"}, {"fullname": "grib2io.templates.DxSign", "modulename": "grib2io.templates", "qualname": "DxSign", "kind": "class", "doc": "Sign of Grid Length in X-Direction
\n"}, {"fullname": "grib2io.templates.DySign", "modulename": "grib2io.templates", "qualname": "DySign", "kind": "class", "doc": "Sign of Grid Length in Y-Direction
\n"}, {"fullname": "grib2io.templates.LLScaleFactor", "modulename": "grib2io.templates", "qualname": "LLScaleFactor", "kind": "class", "doc": "Scale Factor for Lats/Lons
\n"}, {"fullname": "grib2io.templates.LLDivisor", "modulename": "grib2io.templates", "qualname": "LLDivisor", "kind": "class", "doc": "Divisor Value for scaling Lats/Lons
\n"}, {"fullname": "grib2io.templates.XYDivisor", "modulename": "grib2io.templates", "qualname": "XYDivisor", "kind": "class", "doc": "Divisor Value for scaling grid lengths
\n"}, {"fullname": "grib2io.templates.ShapeOfEarth", "modulename": "grib2io.templates", "qualname": "ShapeOfEarth", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.EarthShape", "modulename": "grib2io.templates", "qualname": "EarthShape", "kind": "class", "doc": "Description of the shape of the Earth
\n"}, {"fullname": "grib2io.templates.EarthRadius", "modulename": "grib2io.templates", "qualname": "EarthRadius", "kind": "class", "doc": "Radius of the Earth (Assumes \"spherical\")
\n"}, {"fullname": "grib2io.templates.EarthMajorAxis", "modulename": "grib2io.templates", "qualname": "EarthMajorAxis", "kind": "class", "doc": "Major Axis of the Earth (Assumes \"oblate spheroid\" or \"ellipsoid\")
\n"}, {"fullname": "grib2io.templates.EarthMinorAxis", "modulename": "grib2io.templates", "qualname": "EarthMinorAxis", "kind": "class", "doc": "Minor Axis of the Earth (Assumes \"oblate spheroid\" or \"ellipsoid\")
\n"}, {"fullname": "grib2io.templates.Nx", "modulename": "grib2io.templates", "qualname": "Nx", "kind": "class", "doc": "Number of grid points in the X-direction (generally East-West)
\n"}, {"fullname": "grib2io.templates.Ny", "modulename": "grib2io.templates", "qualname": "Ny", "kind": "class", "doc": "Number of grid points in the Y-direction (generally North-South)
\n"}, {"fullname": "grib2io.templates.ScanModeFlags", "modulename": "grib2io.templates", "qualname": "ScanModeFlags", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.ResolutionAndComponentFlags", "modulename": "grib2io.templates", "qualname": "ResolutionAndComponentFlags", "kind": "class", "doc": "Resolution and Component Flags
\n"}, {"fullname": "grib2io.templates.LatitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "LatitudeFirstGridpoint", "kind": "class", "doc": "Latitude of first gridpoint
\n"}, {"fullname": "grib2io.templates.LongitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "LongitudeFirstGridpoint", "kind": "class", "doc": "Longitude of first gridpoint
\n"}, {"fullname": "grib2io.templates.LatitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "LatitudeLastGridpoint", "kind": "class", "doc": "Latitude of last gridpoint
\n"}, {"fullname": "grib2io.templates.LongitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "LongitudeLastGridpoint", "kind": "class", "doc": "Longitude of last gridpoint
\n"}, {"fullname": "grib2io.templates.LatitudeCenterGridpoint", "modulename": "grib2io.templates", "qualname": "LatitudeCenterGridpoint", "kind": "class", "doc": "Latitude of center gridpoint
\n"}, {"fullname": "grib2io.templates.LongitudeCenterGridpoint", "modulename": "grib2io.templates", "qualname": "LongitudeCenterGridpoint", "kind": "class", "doc": "Longitude of center gridpoint
\n"}, {"fullname": "grib2io.templates.GridlengthXDirection", "modulename": "grib2io.templates", "qualname": "GridlengthXDirection", "kind": "class", "doc": "Grid lenth in the X-Direction
\n"}, {"fullname": "grib2io.templates.GridlengthYDirection", "modulename": "grib2io.templates", "qualname": "GridlengthYDirection", "kind": "class", "doc": "Grid lenth in the Y-Direction
\n"}, {"fullname": "grib2io.templates.LatitudeSouthernPole", "modulename": "grib2io.templates", "qualname": "LatitudeSouthernPole", "kind": "class", "doc": "Latitude of the Southern Pole for a Rotated Lat/Lon Grid
\n"}, {"fullname": "grib2io.templates.LongitudeSouthernPole", "modulename": "grib2io.templates", "qualname": "LongitudeSouthernPole", "kind": "class", "doc": "Longitude of the Southern Pole for a Rotated Lat/Lon Grid
\n"}, {"fullname": "grib2io.templates.AnglePoleRotation", "modulename": "grib2io.templates", "qualname": "AnglePoleRotation", "kind": "class", "doc": "Angle of Pole Rotation for a Rotated Lat/Lon Grid
\n"}, {"fullname": "grib2io.templates.LatitudeTrueScale", "modulename": "grib2io.templates", "qualname": "LatitudeTrueScale", "kind": "class", "doc": "Latitude at which grid lengths are specified
\n"}, {"fullname": "grib2io.templates.GridOrientation", "modulename": "grib2io.templates", "qualname": "GridOrientation", "kind": "class", "doc": "Longitude at which the grid is oriented
\n"}, {"fullname": "grib2io.templates.ProjectionCenterFlag", "modulename": "grib2io.templates", "qualname": "ProjectionCenterFlag", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.StandardLatitude1", "modulename": "grib2io.templates", "qualname": "StandardLatitude1", "kind": "class", "doc": "First Standard Latitude (from the pole at which the secant cone cuts the sphere)
\n"}, {"fullname": "grib2io.templates.StandardLatitude2", "modulename": "grib2io.templates", "qualname": "StandardLatitude2", "kind": "class", "doc": "Second Standard Latitude (from the pole at which the secant cone cuts the sphere)
\n"}, {"fullname": "grib2io.templates.SpectralFunctionParameters", "modulename": "grib2io.templates", "qualname": "SpectralFunctionParameters", "kind": "class", "doc": "Spectral Function Parameters
\n"}, {"fullname": "grib2io.templates.ProjParameters", "modulename": "grib2io.templates", "qualname": "ProjParameters", "kind": "class", "doc": "PROJ Parameters to define the reference system
\n"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.latitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.latitudeFirstGridpoint", "kind": "variable", "doc": "Latitude of first gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.longitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.longitudeFirstGridpoint", "kind": "variable", "doc": "Longitude of first gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.latitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.latitudeLastGridpoint", "kind": "variable", "doc": "Latitude of last gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.longitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.longitudeLastGridpoint", "kind": "variable", "doc": "Longitude of last gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.gridlengthXDirection", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.gridlengthXDirection", "kind": "variable", "doc": "Grid lenth in the X-Direction
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate0.gridlengthYDirection", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate0.gridlengthYDirection", "kind": "variable", "doc": "Grid lenth in the Y-Direction
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1", "kind": "class", "doc": "\n"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.latitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.latitudeFirstGridpoint", "kind": "variable", "doc": "Latitude of first gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.longitudeFirstGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.longitudeFirstGridpoint", "kind": "variable", "doc": "Longitude of first gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.latitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.latitudeLastGridpoint", "kind": "variable", "doc": "Latitude of last gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.longitudeLastGridpoint", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.longitudeLastGridpoint", "kind": "variable", "doc": "Longitude of last gridpoint
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.gridlengthXDirection", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.gridlengthXDirection", "kind": "variable", "doc": "Grid lenth in the X-Direction
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.gridlengthYDirection", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.gridlengthYDirection", "kind": "variable", "doc": "Grid lenth in the Y-Direction
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.GridDefinitionTemplate1.latitudeSouthernPole", "modulename": "grib2io.templates", "qualname": "GridDefinitionTemplate1.latitudeSouthernPole", "kind": "variable", "doc": "Latitude of the Southern Pole for a Rotated Lat/Lon Grid
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\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate0.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate0.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate0.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate0.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate0.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate0.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate0.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate0.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2", "kind": "class", "doc": "Data Representation Template 2
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.groupSplittingMethod", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.groupSplittingMethod", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.typeOfMissingValueManagement", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.typeOfMissingValueManagement", "kind": "variable", "doc": "Type of Missing Value Management
\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.priMissingValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.priMissingValue", "kind": "variable", "doc": "Primary Missing Value
\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.secMissingValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.secMissingValue", "kind": "variable", "doc": "Secondary Missing Value
\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.nGroups", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.nGroups", "kind": "variable", "doc": "Number of Groups
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.refGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.refGroupWidth", "kind": "variable", "doc": "Reference Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.nBitsGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.nBitsGroupWidth", "kind": "variable", "doc": "Number of bits for Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.refGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.refGroupLength", "kind": "variable", "doc": "Reference Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.groupLengthIncrement", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.groupLengthIncrement", "kind": "variable", "doc": "Group Length Increment
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.lengthOfLastGroup", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.lengthOfLastGroup", "kind": "variable", "doc": "Length of Last Group
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate2.nBitsScaledGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate2.nBitsScaledGroupLength", "kind": "variable", "doc": "Number of bits of Scaled Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3", "kind": "class", "doc": "Data Representation Template 3
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.groupSplittingMethod", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.groupSplittingMethod", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.typeOfMissingValueManagement", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.typeOfMissingValueManagement", "kind": "variable", "doc": "Type of Missing Value Management
\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.priMissingValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.priMissingValue", "kind": "variable", "doc": "Primary Missing Value
\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.secMissingValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.secMissingValue", "kind": "variable", "doc": "Secondary Missing Value
\n", "annotation": ": [<class 'float'>, <class 'int'>]"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nGroups", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nGroups", "kind": "variable", "doc": "Number of Groups
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.refGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.refGroupWidth", "kind": "variable", "doc": "Reference Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBitsGroupWidth", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBitsGroupWidth", "kind": "variable", "doc": "Number of bits for Group Width
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.refGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.refGroupLength", "kind": "variable", "doc": "Reference Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.groupLengthIncrement", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.groupLengthIncrement", "kind": "variable", "doc": "Group Length Increment
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.lengthOfLastGroup", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.lengthOfLastGroup", "kind": "variable", "doc": "Length of Last Group
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBitsScaledGroupLength", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBitsScaledGroupLength", "kind": "variable", "doc": "Number of bits of Scaled Group Length
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.spatialDifferenceOrder", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.spatialDifferenceOrder", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate3.nBytesSpatialDifference", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate3.nBytesSpatialDifference", "kind": "variable", "doc": "Number of bytes for Spatial Differencing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate4", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate4", "kind": "class", "doc": "Data Representation Template 4
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate4.precision", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate4.precision", "kind": "variable", "doc": "Precision for IEEE Floating Point Data
\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40", "kind": "class", "doc": "Data Representation Template 40
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.typeOfCompression", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.typeOfCompression", "kind": "variable", "doc": "\n", "annotation": ": grib2io.templates.Grib2Metadata"}, {"fullname": "grib2io.templates.DataRepresentationTemplate40.targetCompressionRatio", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate40.targetCompressionRatio", "kind": "variable", "doc": "Target Compression Ratio
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41", "kind": "class", "doc": "Data Representation Template 41
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate41.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate41.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42", "kind": "class", "doc": "Data Representation Template 42
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.compressionOptionsMask", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.compressionOptionsMask", "kind": "variable", "doc": "Compression Options Mask for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.blockSize", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.blockSize", "kind": "variable", "doc": "Block Size for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate42.refSampleInterval", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate42.refSampleInterval", "kind": "variable", "doc": "Reference Sample Interval for AEC/CCSDS
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50", "kind": "class", "doc": "Data Representation Template 50
\n"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.refValue", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.refValue", "kind": "variable", "doc": "Reference Value (represented as an IEEE 32-bit floating point value)
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.binScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.binScaleFactor", "kind": "variable", "doc": "Binary Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.decScaleFactor", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.decScaleFactor", "kind": "variable", "doc": "Decimal Scale Factor
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.nBitsPacking", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.nBitsPacking", "kind": "variable", "doc": "Minimum number of bits for packing
\n", "annotation": ": int"}, {"fullname": "grib2io.templates.DataRepresentationTemplate50.realOfCoefficient", "modulename": "grib2io.templates", "qualname": "DataRepresentationTemplate50.realOfCoefficient", "kind": "variable", "doc": "Real of Coefficient
\n", "annotation": ": float"}, {"fullname": "grib2io.templates.drt_class_by_drtn", "modulename": "grib2io.templates", "qualname": "drt_class_by_drtn", "kind": "function", "doc": "Provides a Data Representation Template class via the template number
\n\ndrtn : int\n Data Representation template number.
Data Representation template class object (not an instance).
\n", "signature": "(drtn):", "funcdef": "def"}, {"fullname": "grib2io.utils", "modulename": "grib2io.utils", "kind": "module", "doc": "Collection of utility functions to assist in the encoding and decoding\nof GRIB2 Messages.
\n"}, {"fullname": "grib2io.utils.int2bin", "modulename": "grib2io.utils", "qualname": "int2bin", "kind": "function", "doc": "Convert integer to binary string or list
\n\ni : int\n Integer value to convert to binary representation.
nbits : int, optional\n Number of bits to return. Valid values are 8 [DEFAULT], 16, 32, and 64.
output : type\n Return data as str [DEFAULT] or list (list of ints).
str or list (list of ints) of binary representation of the integer value.
Convert an IEEE 32-bit float to a 32-bit integer.
\n\nf : float\n Floating-point value.
numpy.int32 representation of an IEEE 32-bit float.
Convert a 32-bit integer to an IEEE 32-bit float.
\n\ni : int\n Integer value.
numpy.float32 representation of a 32-bit int.
Computes lead time as a datetime.timedelta object using information from\nGRIB2 Identification Section (Section 1), Product Definition Template\nNumber, and Product Definition Template (Section 4).
\n\nidsec : list or array_like\n Seqeunce containing GRIB2 Identification Section (Section 1).
pdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Seqeunce containing GRIB2 Product Definition Template (Section 4).
datetime.timedelta object representing the lead time of the GRIB2 message.
Computes a time duration as a datetime.timedelta using information from\nProduct Definition Template Number, and Product Definition Template (Section 4).
\n\npdtn : int\n GRIB2 Product Definition Template Number
pdt : list or array_like\n Sequence containing GRIB2 Product Definition Template (Section 4).
datetime.timedelta object representing the time duration of the GRIB2 message.
Decode GRIB2 Local Use Section to obtain NDFD/MDL Weather Strings. The\ndecode procedure is defined here.
\n\nlus : bytes\n GRIB2 Local Use Section containing NDFD weather strings.
dict of NDFD/MDL weather strings. Keys are an integer value that represent \nthe sequential order of the key in the packed local use section and the value is \nthe weather key.
Return a wgrib2-formatted string explaining probabilistic\nthreshold informaiton. Logic from wgrib2 source, Prob.c,\nis replicated here.
\n\nprobtype : int\n Type of probability (Code Table 4.9).
sfacl : int\n Scale factor of lower limit.
svall : int\n Scaled value of lower limit.
sfacu : int\n Scale factor of upper limit.
svalu : int\n Scaled value of upper limit.
wgrib2-formatted string of probability threshold.
\n", "signature": "(probtype, sfacl, svall, sfacu, svalu):", "funcdef": "def"}, {"fullname": "grib2io.utils.arakawa_rotated_grid", "modulename": "grib2io.utils.arakawa_rotated_grid", "kind": "module", "doc": "Functions for handling an Arakawa Rotated Lat/Lon Grids.
\n\nThis grid is not often used, but is currently used for the NCEP/RAP using\nGRIB2 Grid Definition Template 32769
\n\nThese functions are adapted from the NCAR Command Language (ncl),\nfrom NcGRIB2.c
\n"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.DEG2RAD", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "DEG2RAD", "kind": "variable", "doc": "\n", "default_value": "0.017453292519943295"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.RAD2DEG", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "RAD2DEG", "kind": "variable", "doc": "\n", "default_value": "57.29577951308232"}, {"fullname": "grib2io.utils.arakawa_rotated_grid.ll2rot", "modulename": "grib2io.utils.arakawa_rotated_grid", "qualname": "ll2rot", "kind": "function", "doc": "Rotate a latitude/longitude pair.
\n\nlatin: float\n Latitudes in units of degrees.
lonin: float\n Longitudes in units of degrees.
latpole: float\n Latitude of Pole.
lonpole: float\n Longitude of Pole.
tlat, tlons\n Returns two floats of rotated latitude and longitude in units of degrees.
Unrotate a latitude/longitude pair.
\n\nlatin: float\n Latitudes in units of degrees.
lonin: float\n Longitudes in units of degrees.
latpole: float\n Latitude of Pole.
lonpole: float\n Longitude of Pole.
tlat, tlons\n Returns two floats of unrotated latitude and longitude in units of degrees.
Generate a rotation angle value that can be applied to a vector quantity to\nmake it Earth-oriented.
\n\ntlat: float\n True latitude in units of degrees.
**tlon**:float`\n True longitude in units of degrees..
clat: float\n Latitude of center grid point in units of degrees.
losp: float\n Longitude of the southern pole in units of degrees.
xlat: float\n Latitude of the rotated grid in units of degrees.
rot : float\n Rotation angle in units of radians.
Tools for working with Gaussian grids.
\n\nAdopted from: https://gist.github.com/ajdawson/b64d24dfac618b91974f
\n"}, {"fullname": "grib2io.utils.gauss_grid.gaussian_latitudes", "modulename": "grib2io.utils.gauss_grid", "qualname": "gaussian_latitudes", "kind": "function", "doc": "Construct latitudes for a Gaussian grid.
\n\nnlat : int\n The number of latitudes in the Gaussian grid.
numpy.ndarray of latitudes (in degrees) with a length of nlat.
Tools for working with Rotated Lat/Lon Grids.
\n"}, {"fullname": "grib2io.utils.rotated_grid.RAD2DEG", "modulename": "grib2io.utils.rotated_grid", "qualname": "RAD2DEG", "kind": "variable", "doc": "\n", "default_value": "57.29577951308232"}, {"fullname": "grib2io.utils.rotated_grid.DEG2RAD", "modulename": "grib2io.utils.rotated_grid", "qualname": "DEG2RAD", "kind": "variable", "doc": "\n", "default_value": "0.017453292519943295"}, {"fullname": "grib2io.utils.rotated_grid.rotate", "modulename": "grib2io.utils.rotated_grid", "qualname": "rotate", "kind": "function", "doc": "Perform grid rotation. This function is adapted from ECMWF's ecCodes library\nvoid function, rotate().
\n\nhttps://github.com/ecmwf/eccodes/blob/develop/src/grib_geography.cc
\n\nlatin : float or array_like\n Latitudes in units of degrees.
lonin : float or array_like\n Longitudes in units of degrees.
aor : float\n Angle of rotation as defined in GRIB2 GDTN 4.1.
splat : float\n Latitude of South Pole as defined in GRIB2 GDTN 4.1.
splon : float\n Longitude of South Pole as defined in GRIB2 GDTN 4.1.
lats, lons : numpy.ndarray\n numpy.ndarrays with dtype=numpy.float32 of grid latitudes and\n longitudes in units of degrees.
Perform grid un-rotation. This function is adapted from ECMWF's ecCodes library\nvoid function, unrotate().
\n\nhttps://github.com/ecmwf/eccodes/blob/develop/src/grib_geography.cc
\n\nlatin : float or array_like\n Latitudes in units of degrees.
lonin : float or array_like\n Longitudes in units of degrees.
aor : float\n Angle of rotation as defined in GRIB2 GDTN 4.1.
splat : float\n Latitude of South Pole as defined in GRIB2 GDTN 4.1.
splon : float\n Longitude of South Pole as defined in GRIB2 GDTN 4.1.
lats, lons : numpy.ndarray\n numpy.ndarrays with dtype=numpy.float32 of grid latitudes and\n longitudes in units of degrees.