issue_comments: 311634421

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https://github.com/pydata/xarray/issues/1467#issuecomment-311634421 https://api.github.com/repos/pydata/xarray/issues/1467 311634421 MDEyOklzc3VlQ29tbWVudDMxMTYzNDQyMQ== 10050469 2017-06-28T11:36:37Z 2017-06-28T11:36:37Z MEMBER

I think I do mean 'years' in the CF convention sense

Can you pinpoint to which part of the CF convention? From the link I read: a year is exactly 365.242198781 days, which would lead to highly unlikely calendar dates.

I agree however that interpreting "years" as being "calendar years" is the only way that makes sense.

For the record, netCDF4 also doesn't like "years":

```python import netCDF4 ds = netCDF4.Dataset('/home/mowglie/Downloads/histsoc_population_0.5deg_1861-2005.nc4') time = ds.variables['time'] netCDF4.num2date(time[:], units=time.units)

ValueError Traceback (most recent call last) <ipython-input-15-b38f64c7bce4> in <module>() 2 ds = netCDF4.Dataset('histsoc_population_0.5deg_1861-2005.nc4') 3 time = ds.variables['time'] ----> 4 netCDF4.num2date(time[:], units=time.units)

netCDF4/_netCDF4.pyx in netCDF4._netCDF4.num2date (netCDF4/_netCDF4.c:66463)()

ValueError: unsupported time units ```

 
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