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| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 211471850 | https://github.com/pydata/xarray/issues/827#issuecomment-211471850 | https://api.github.com/repos/pydata/xarray/issues/827 | MDEyOklzc3VlQ29tbWVudDIxMTQ3MTg1MA== | caiostringari 8363752 | 2016-04-18T16:54:57Z | 2016-04-18T16:54:57Z | NONE | I would rather stick only with xarray, but iris solved the issue for now... Another alternative is to use NCO an do something like: |
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Issue with GFS time reference 148876551 | |
| 211120008 | https://github.com/pydata/xarray/issues/827#issuecomment-211120008 | https://api.github.com/repos/pydata/xarray/issues/827 | MDEyOklzc3VlQ29tbWVudDIxMTEyMDAwOA== | caiostringari 8363752 | 2016-04-17T21:36:09Z | 2016-04-17T21:36:09Z | NONE | ds.time.encoding results in
I tried to use ds.to_netcdf('filename.nc', encoding={'time': {'units': u'days since 1-1-1 00:00:0.0'}}), but ncdump still shows "time" as having "days since 2001-01-01" as reference time: ``` double time(time) ; string time:grads_dim = "t" ; string time:grads_mapping = "linear" ; string time:grads_size = "81" ; string time:grads_min = "00z17apr2016" ; string time:grads_step = "3hr" ; string time:long_name = "time" ; string time:minimum = "00z17apr2016" ; string time:maximum = "00z27apr2016" ; time:resolution = 0.125f ; string time:units = "days since 2001-01-01" ; time:calendar = "proleptic_gregorian" ; ``` |
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Issue with GFS time reference 148876551 |
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