25km Equal-Area Scalable Earth North Hemisphere version 1 (EASE1, EPSG:3408)
rcms1sim_hr (RCMS1SIM High Resolution):
6.25km Equal Area Scalable Earth North Hemisphere version 2 (EASE2, EPSG:6931)
I have run the recipes locally using pruned versions and they appear to work as expected. I do have one question that I'm hoping to get advice on:
For the rcms1sim_lr there are 2D lat/lon variables that for some reason are being concatenated along the time axis and I can't figure out why. Is it possible to squeeze these variables before they are converted to zarr using a preprocessing function, or is that generally not encouraged? The rcms1sim_hr appears to properly squeeze these data arrays.
m9brady
commented
1 year ago
I have a multi-item recipe that is hopefully suitable for this project.
RADARSAT Constellation Mission / Sentinel-1 Sea Ice Motion (RCMS1SIM) netcdf products at 2 grid specs:
https://open.canada.ca/data/en/dataset/22aa3b41-425f-4f67-9747-f097c00e3eb1
rcms1sim_lr(RCMS1SIM Low Resolution):25km Equal-Area Scalable Earth North Hemisphere version 1 (EASE1, EPSG:3408)
rcms1sim_hr(RCMS1SIM High Resolution):6.25km Equal Area Scalable Earth North Hemisphere version 2 (EASE2, EPSG:6931)
I have run the recipes locally using pruned versions and they appear to work as expected. I do have one question that I'm hoping to get advice on:
For the
rcms1sim_lrthere are 2D lat/lon variables that for some reason are being concatenated along thetimeaxis and I can't figure out why. Is it possible to squeeze these variables before they are converted to zarr using a preprocessing function, or is that generally not encouraged? Thercms1sim_hrappears to properly squeeze these data arrays.