issue_comments: 1039303417
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/6272#issuecomment-1039303417 | https://api.github.com/repos/pydata/xarray/issues/6272 | 1039303417 | IC_kwDOAMm_X8498oL5 | 2042458 | 2022-02-14T16:39:49Z | 2022-02-14T16:41:15Z | NONE | Thank you for your reply @andersy005. So this is the encodiing before writing to netcdf, when loaded with In [63]: ds.z.isel(latitude=[1,2,3], longitude=[3,4,5]).attrs
Out[63]:
{'units': 'm2 s-2',
'long_name': 'Geopotential',
'standard_name': 'geopotential'}
As this offset is not applied constantly in the dimension *sorry for the large data gap in between 1980 and the 2000's. |
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