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/827#issuecomment-212029772,https://api.github.com/repos/pydata/xarray/issues/827,212029772,MDEyOklzc3VlQ29tbWVudDIxMjAyOTc3Mg==,2443309,2016-04-19T17:32:45Z,2016-04-19T17:32:45Z,MEMBER,"> Unfortunately, pandas interprets dates like '1-1-1' or '01-JAN-0001' as January 1, 2001

this is too bad.

> use netCDF4's reference time decoding (if available) before trying to use pandas in decode_cf_datetime. Note that it is important to only decode only the one reference time if possible using netCDF4, because it's a lot faster to parse dates with vectorized operations with pandas/numpy.

This seems easy enough. It would be nice if we always had `netcdftime` available.  

I can try to take a hack at this later this week (unless someone gets there first).  
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