issue_comments: 600084031

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/3863#issuecomment-600084031 https://api.github.com/repos/pydata/xarray/issues/3863 600084031 MDEyOklzc3VlQ29tbWVudDYwMDA4NDAzMQ== 6213168 2020-03-17T13:53:50Z 2020-03-17T13:53:50Z MEMBER

This has nothing to do with to_netcdf or slicing. Your upstream data is broken for the variable specific_humidity_ml. When you invoke to_netcdf(), the remote resources actually holding the variable(s) are requested for the first time, and the server is responding 404.

Just load the variable into memory: ```python

fnx.specific_humidity_ml.compute() RuntimeError: NetCDF: file not found ``` Please reopen if you have reason to believe the issue is in the xarray pydap driver and not in the source data.

P.S. all your lines invoking to_netcdf could be replaced with a single command: python fnx[ [ "forecast_reference_time", "p0", "ap", "b", "projection_lambert", "ozone_profile_c", "specific_humidity_ml", ] ].isel(time = slice(0,48)).to_netcdf('meps_out.nc', 'w', format = 'NETCDF4')

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   583001763