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/822#issuecomment-208706109,https://api.github.com/repos/pydata/xarray/issues/822,208706109,MDEyOklzc3VlQ29tbWVudDIwODcwNjEwOQ==,1217238,2016-04-12T04:57:47Z,2016-04-12T04:57:47Z,MEMBER,"@forman Just a note -- if h5py can read the data correctly, you can read the data into xarray using [h5netcdf](https://github.com/shoyer/h5netcdf) (with `engine='h5netcdf'` in open_dataset).
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,146975644
https://github.com/pydata/xarray/issues/822#issuecomment-208088579,https://api.github.com/repos/pydata/xarray/issues/822,208088579,MDEyOklzc3VlQ29tbWVudDIwODA4ODU3OQ==,1217238,2016-04-10T23:14:50Z,2016-04-10T23:14:50Z,MEMBER,"I just opened this up with `decode_cf=False`. Here's what the raw data looks like:
```
ds.analysed_sst[0].plot.imshow()
```
with attributes:
```
Attributes:
_FillValue: -32768
units: kelvin
scale_factor: 0.01
add_offset: 273.15
long_name: analysed sea surface temperature
valid_min: -300
valid_max: 4500
standard_name: sea_water_temperature
depth: 20 cm
source: ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0
comment: SST analysis produced for ESA SST CCI project using the OSTIA system in reanalysis mode.
```
To me, It looks like somebody just mis-prepared this dataset, given the smooth transitions in the ocean from dark red to dark blue, which would correspond to numeric overflow. If not, there are lots of places in the ocean where the temperature is in negative degrees Kelvin.
I don't have a strong opinion on whether or not we should automatically masking values outside `valid_min`/`valid_max`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,146975644
https://github.com/pydata/xarray/issues/822#issuecomment-207552831,https://api.github.com/repos/pydata/xarray/issues/822,207552831,MDEyOklzc3VlQ29tbWVudDIwNzU1MjgzMQ==,1217238,2016-04-08T18:46:49Z,2016-04-08T18:46:49Z,MEMBER,"So we actually use our own value scaling logic, independent of netCDF4. It's interesting that we have the same issue, though!
Possibly it's because we don't use the `valid_min`/`valid_max` arguments in determining what should be masked? I can download your dataset later and take a more in depth look.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,146975644