Bnb/dev

[bnb32]

Added uncertainty data (EDA) download to era_downloader.py and new data handler DataHandlerNCwithAugmentation (open to better name), to take EDA, temporally interpolate and regrid to ERA5 grid, and "augment" ERA5 (e.g. ERA5 +/- 2 * EDA) data so we can do fwp runs with ERA5 + 2 * EDA and ERA5 - 2 * EDA to represent 95% confidence interval.

[grantbuster]

Added uncertainty data (EDA) download to era_downloader.py and new data handler DataHandlerNCwithAugmentation (open to better name), to take EDA, temporally interpolate and regrid to ERA5 grid, and "augment" ERA5 (e.g. ERA5 +/- 2 * EDA) data so we can do fwp runs with ERA5 + 2 * EDA and ERA5 - 2 * EDA to represent 95% confidence interval.

Are you still thinking we'll do the ERA +/- EDA_std for a fwp? Or after our conversation are you thinking you'll downscale ensemble members?

Could any of the existing sup3r interpolation models be used for the ERA interpoaltion?

Haven't reviewed yet, just want to check if you're revising this approach based on our convo.

[bnb32]

Added uncertainty data (EDA) download to era_downloader.py and new data handler DataHandlerNCwithAugmentation (open to better name), to take EDA, temporally interpolate and regrid to ERA5 grid, and "augment" ERA5 (e.g. ERA5 +/- 2 * EDA) data so we can do fwp runs with ERA5 + 2 * EDA and ERA5 - 2 * EDA to represent 95% confidence interval.

Are you still thinking we'll do the ERA +/- EDA_std for a fwp? Or after our conversation are you thinking you'll downscale ensemble members?

Could any of the existing sup3r interpolation models be used for the ERA interpoaltion?

Haven't reviewed yet, just want to check if you're revising this approach based on our convo.

Yeah I'm going to downscale ensemble members. I made some adjustments to the era_downloader for this. I could prob just use the LinearInterp model to go from 60km, 3-hourly to 30km, hourly. Not sure if this type of handler might be useful for other things. Converted to a draft either way since I'll prob need to add some things to get the ensemble downscaling going.