Thanks for working on this and putting the data online! For our ewatercycle project we wanted easier access to the separate basins contained in the Caravans dataset. A data hosting service we have access to has an OpenDAP server, so we wanted to put it there.
I reorganized the data: added the attributes (units, basin properties) to the netCDF files, merged them per collections (i.e. one file per Camels), and compressed the netCDF files.
The data is available on:
https://doi.org/10.4121/ca13056c-c347-4a27-b320-930c2a4dd207
And can be accessed like this in xarray:
# open camels US:
ds = xr.open_dataset("https://opendap.4tu.nl/thredds/dodsC/data2/djht/ca13056c-c347-4a27-b320-930c2a4dd207/1/camels.nc")
# select the basin of interest:
ds.sel(basin_id=b"camels_01022500")
# plot the air temperature:
ds.sel(basin_id=b"camels_01022500")["temperature_2m_mean"].plot()
Thanks for working on this and putting the data online! For our ewatercycle project we wanted easier access to the separate basins contained in the Caravans dataset. A data hosting service we have access to has an OpenDAP server, so we wanted to put it there.
I reorganized the data: added the attributes (units, basin properties) to the netCDF files, merged them per collections (i.e. one file per Camels), and compressed the netCDF files.
The data is available on:
https://doi.org/10.4121/ca13056c-c347-4a27-b320-930c2a4dd207
And can be accessed like this in xarray: