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/2002#issuecomment-375911669,https://api.github.com/repos/pydata/xarray/issues/2002,375911669,MDEyOklzc3VlQ29tbWVudDM3NTkxMTY2OQ==,10050469,2018-03-24T17:47:57Z,2018-03-24T17:47:57Z,MEMBER,"The problem comes from the fact that the times in the files are stored in int32. This mwe reproduces the error:
```python
import xarray as xr
import numpy as np
ds = xr.Dataset()
ds['time'] = xr.DataArray([np.int32(788961600)], dims=['time'])
ds['time'].attrs['units'] = 'seconds since 1981-01-01'
xr.decode_cf(ds)['time']
```
This is due to https://github.com/pydata/xarray/pull/1414/, I'm looking into it
","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374965933,https://api.github.com/repos/pydata/xarray/issues/2002,374965933,MDEyOklzc3VlQ29tbWVudDM3NDk2NTkzMw==,6815844,2018-03-21T14:54:22Z,2018-03-21T14:54:22Z,MEMBER,"Oh, thanks. I misunderstood the problem.
Related to #1803? but I did not follow that well.
Can anyone look into this issue?
The minimal working example would be
1 download from one file from [here](http://anon-ftp.ceda.ac.uk/neodc/esacci/sst/data/lt/Analysis/L4/v01.1/1991/09/02/19910902120000-ESACCI-L4_GHRSST-SSTdepth-OSTIA-GLOB_LT-v02.0-fv01.1.nc)
2 Load and see `xr.open_dataset(path/to/file)['time']`
3 compare with `netCDF4.Dataset(path/to/file)['time']`","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374956179,https://api.github.com/repos/pydata/xarray/issues/2002,374956179,MDEyOklzc3VlQ29tbWVudDM3NDk1NjE3OQ==,9655353,2018-03-21T14:27:57Z,2018-03-21T14:27:57Z,NONE,"You have just reproduced the issue.
The correct datetime values are in the filenames. So, you open two files, one from ``1991-09-01T12:00:00.00`` and the other from ``1991-09-02T12:00:00.00``, but the decoded time dimension becomes:
```
array(['1981-01-01T00:00:00.564166656', '1980-12-31T23:59:58.707073024'], dtype='datetime64[ns]')
```
Which is exactly the problem I'm facing.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374954224,https://api.github.com/repos/pydata/xarray/issues/2002,374954224,MDEyOklzc3VlQ29tbWVudDM3NDk1NDIyNA==,6815844,2018-03-21T14:22:42Z,2018-03-21T14:22:42Z,MEMBER,"Could you try investigating minimal working example?
I tried with two of your examples, but the issue is not reproduced
```python
In [9]: ds = xr.open_mfdataset(['Desktop/19910901120000-ESACCI-L4_GHRSST-SSTdepth-OSTIA-GLOB_LT-v02.0-fv01.1.nc', 'Desktop/19910902120000-ESACCI-L4_GHRSST-SSTdepth-OSTIA-GLOB_LT-v02.0-fv01.1.nc'], decode_cf=True)
In [11]: ds['time']
Out[11]:
<xarray.DataArray 'time' (time: 2)>
array(['1981-01-01T00:00:00.564166656', '1980-12-31T23:59:58.707073024'],
dtype='datetime64[ns]')
Coordinates:
* time (time) datetime64[ns] 1981-01-01T00:00:00.564166656 ...
Attributes:
standard_name: time
axis: T
bounds: time_bnds
comment:
long_name: reference time of sst file
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374951019,https://api.github.com/repos/pydata/xarray/issues/2002,374951019,MDEyOklzc3VlQ29tbWVudDM3NDk1MTAxOQ==,9655353,2018-03-21T14:13:35Z,2018-03-21T14:13:35Z,NONE,"Thanks for looking into this!
I did try 0.10.2, same result as 0.10.1.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374949934,https://api.github.com/repos/pydata/xarray/issues/2002,374949934,MDEyOklzc3VlQ29tbWVudDM3NDk0OTkzNA==,6815844,2018-03-21T14:10:21Z,2018-03-21T14:10:21Z,MEMBER,"I think it is related to #1932.
Can you try xarray=0.10.2?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374922820,https://api.github.com/repos/pydata/xarray/issues/2002,374922820,MDEyOklzc3VlQ29tbWVudDM3NDkyMjgyMA==,9655353,2018-03-21T12:39:40Z,2018-03-21T12:39:40Z,NONE,"Actual data can be retrieved from here:
ftp://anon-ftp.ceda.ac.uk/neodc/esacci/sst/data/lt/Analysis/L4/v01.1","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717
https://github.com/pydata/xarray/issues/2002#issuecomment-374920483,https://api.github.com/repos/pydata/xarray/issues/2002,374920483,MDEyOklzc3VlQ29tbWVudDM3NDkyMDQ4Mw==,9655353,2018-03-21T12:29:28Z,2018-03-21T12:29:28Z,NONE,#1859 seems to be related.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,307224717