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/5785#issuecomment-1011731655,https://api.github.com/repos/pydata/xarray/issues/5785,1011731655,IC_kwDOAMm_X848TczH,30270490,2022-01-13T03:05:25Z,2022-01-13T03:05:25Z,NONE,"Hi @andersy005, the only thing that I found was that I needed to convert the geotiffs to netcdf to get the computation to be consistent. I didn't trace it further so its probably best to close this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,992636601
https://github.com/pydata/xarray/issues/5785#issuecomment-1008223975,https://api.github.com/repos/pydata/xarray/issues/5785,1008223975,IC_kwDOAMm_X848GEbn,13301940,2022-01-09T03:51:35Z,2022-01-09T03:51:35Z,MEMBER,"@theobarnhart-USGS, did you find a solution and/or can we close this issue?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,992636601
https://github.com/pydata/xarray/issues/5785#issuecomment-917032342,https://api.github.com/repos/pydata/xarray/issues/5785,917032342,IC_kwDOAMm_X842qM2W,30270490,2021-09-10T16:18:40Z,2021-09-10T16:18:40Z,NONE,I converted the geotiffs to netCDF and the problem seems to go away. Perhaps this has to do with how NaNs are decoded from geotiffs? I also tried this workflow with the rioxarray engine 'rasterio' and had the same issue. I'll do some more testing and report back.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,992636601