Temporal Downscaling of Gridded Datasets

[msw09090]

Hello,

I was wondering if this is possible using PyESD:

Lets say I have a gridded dataset with dimensions (time,lat,lon), in which; time == 1440 (or 15 minutes for one day).

Ideally, I'd like to temporally downscale time to 2400 (or 5 minutes for one day). The grid coordinates (lat,lon) stay the same, but the time component increases in resolution.

Is this possible with PyESD?

Thank you!

[Dan-Boat]

Unfortunately, this is not possible with the framework of pyESD. For now, it only downscale low spatial resolution of GCM output to station using its historical records.