-
Notifications
You must be signed in to change notification settings - Fork 1
Open
Description
For the notebook OM4_SST_Bias here,
Need to ensure the data coming from these sources:
ds_ZB = xr.open_mfdataset('/vast/pp2681/ZB2020/ocean_monthly/*', decode_times=False).isel(time=slice(276,636)) # time slice corresponds to 1981-2010
ds_om4 = xr.open_mfdataset('/vast/pp2681/unparameterized/annual/5yr/*').isel(time=slice(23,48))
om4T = ds_om4.thetao.isel(z_l=0).mean('time').compute()
ZBT = ((ds_ZB.average_DT*ds_ZB.thetao.isel(z_l=0)).sum('time') / ds_ZB.average_DT.sum('time')).compute()
matches,
path = "gs://leap-persistent/jbusecke/OM4_m2lines/daily_combined.zarr"
ds = xr.open_dataset(path, engine="zarr", chunks={})
ds_ZB = ds.sel(experiment="ZB2020")
ds_om4 = ds.sel(experiment="unparameterized")
ZBT = ds_ZB["tos"]
om4T = ds_om4["tos"]
Metadata
Metadata
Assignees
Labels
No labels