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  • kthyng · 2 ✖

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  • Problem opening unstructured grid ocean forecasts with 4D vertical coordinates · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1171375793 https://github.com/pydata/xarray/issues/2233#issuecomment-1171375793 https://api.github.com/repos/pydata/xarray/issues/2233 IC_kwDOAMm_X85F0cax kthyng 3487237 2022-06-30T15:40:34Z 2022-06-30T15:40:34Z NONE

@benbovy Ah, I see you mean under "Relax all constraints related to “dimension (index) coordinates” in Xarray". Ok, thank you for clarifying that for me! (I wasn't sure what the second item meant in the list of lists.)

 
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   Problem opening unstructured grid ocean forecasts with 4D vertical coordinates 332471780
1171342518 https://github.com/pydata/xarray/issues/2233#issuecomment-1171342518 https://api.github.com/repos/pydata/xarray/issues/2233 IC_kwDOAMm_X85F0US2 kthyng 3487237 2022-06-30T15:11:00Z 2022-06-30T15:11:00Z NONE

I've looked through the github issues associated with the explicit indices, but can't quite tell if I can use them to load FVCOM model output. In any case I just updated and tried without doing anything new and it didn't work:

import xarray as xr url = 'https://opendap.co-ops.nos.noaa.gov/thredds/dodsC/NOAA/SFBOFS/MODELS/2022/06/30/nos.sfbofs.fields.f014.20220630.t09z.nc' # this file will not be available in a few days but one for the present day will be available ds = xr.open_dataset(url, drop_variables='Itime2')

Same error message as before:

MissingDimensionsError: 'siglay' has more than 1-dimension and the same name as one of its dimensions ('siglay', 'node'). xarray disallows such variables because they conflict with the coordinates used to label dimensions.

 
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   Problem opening unstructured grid ocean forecasts with 4D vertical coordinates 332471780

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