-
Notifications
You must be signed in to change notification settings - Fork 0
Data ‐ Mexico
CONAGUA (Comisión Nacional del Agua) offers publicly daily time series of 210 reservoirs: link
I found somewhere (I forgot where) a table of attributes of those 210 reservoirs, including the level and storage at maximum ordinary operation and maximum extraordinary operations.
Each dam in Mexico has an acronym that identifies it (I name it the key), instead of using ID numbers. I will find the connection between the dam key with the ID in GRanD, so this dataset can be merged with other datasets (USA, Spain...).
The dam catalogue includes the following attributes:
- dam_ID: dam identification number
- key: dam short name
- name: dam name
- lat: latitude (epsg:4326)
- lon: longitude (epsg:4326)
- Z: elevation (masl)
- state:
- city:
- cat_ID: catchment identification number
- catchment: catchment name
- reg_ID: hydrological region identification number
- region: hydrological region name
Interesting! This data set includes time series of reservoir area, which can be used to validate the estimation of reservoir area in
Basemodel.estimate_area(). Besides, the division of outflow in sluices and spillway is not present in other data sets.
The daily time series contain the following variables:
- date: date with daily resolution
- Z_MASL: reservoir level (meters above sea level)
- V_MCM: reservoir storage (million cubic meters)
- A_HA: reservoir area (hectare)
- SLUICE_CMS: outflow from sluices (cubic meters per second)
- SPILL_CMS: outflow from spillway (cubic meters per second)
- EVAP_MM: evaporation (milimeters)
- PRECIP_MM: precipitation (milimeters)
The Global Reservoir and Dam database has been used to extract the static attributes.
The Global Flood Awareness System has been used to extract the inflow time series.