issue_comments: 1040778284
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/4118#issuecomment-1040778284 | https://api.github.com/repos/pydata/xarray/issues/4118 | 1040778284 | IC_kwDOAMm_X84-CQQs | 167802 | 2022-02-15T20:48:51Z | 2022-07-18T13:05:09Z | CONTRIBUTOR | Thanks for launching this discussion @TomNicholas ! I'm a core dev of pytroll/satpy which handles earth observing satellite data. I got interested in DataTree because we have data from the same instruments available at mulitple resolution, hence not fitting into a single Dataset. For use Option 1 is probably feeling better. Even when having data at multiple resolutions, it is still a limited number of resolutions and hence splitting them in groups is the natural way of going I would say. We do not use the features you mention in Zarr or GRIB, as a majority of the satellite data we use is provided in netcdf nowadays. Don't hesitate to ask if you want to know more or if something is unclear, we are really interested in these developments, so if we can help that way... |
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