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/1605#issuecomment-334224596,https://api.github.com/repos/pydata/xarray/issues/1605,334224596,MDEyOklzc3VlQ29tbWVudDMzNDIyNDU5Ng==,4992424,2017-10-04T17:10:02Z,2017-10-04T17:10:02Z,NONE,"(sorry, originally commented from my work account)

The tutorial dataset is ~6-hourly, so your operation is a downsampling operation.  We don't actually support interpolation on downsampling operations - just aggregations/reductions. Upsampling supports interpolation since there is no implicit way to estimate data between the gaps at the lower temporal frequency. If you just want to estimate a given field at 15-day intervals, for 00Z on those days, then I think you should use `ds.reindex()`, but at the moment I do not think it will work with timeseries. That would be a critical feature to implement.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,262847801