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Add Cloud_Optical_Thickness to viirs_l2.yaml #2885
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@@ -104,6 +104,15 @@ datasets: | |||
file_type: cldprop_l2_viirs | |||
standard_name: cloud_top_height | |||
|
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Cloud_Optical_Thickness: | |||
name: Cloud_Optical_Thickness | |||
long_name: Cloud Optical Thickness two-channel retrieval using 2.2 um and either 0.65 um, 0.86 um or 1.24um (specified in Quality_Assurance) from best points: not failed in any way, not marked for clear sky restoral |
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If this value is in the file I don't think it should be needed here if the python code pulls it from the file and puts in in the DataArray's .attrs
. If it is needed here, then it should be surrounded by double quotes:
long_name: Cloud Optical Thickness two-channel retrieval using 2.2 um and either 0.65 um, 0.86 um or 1.24um (specified in Quality_Assurance) from best points: not failed in any way, not marked for clear sky restoral | |
long_name: "Cloud Optical Thickness two-channel retrieval using 2.2 um and either 0.65 um, 0.86 um or 1.24um (specified in Quality_Assurance) from best points: not failed in any way, not marked for clear sky restoral" |
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True point, the long_name is covered in the netcdf. Shortened ncdump below:
short Cloud_Optical_Thickness(number_of_lines, number_of_pixels) ;
Cloud_Optical_Thickness:long_name = "Cloud Optical Thickness two-channel retrieval using 2.2 um and either 0.65 um, 0.86 um or 1.24um (specified in Quality_Assurance) from best points: not failed in any way, not marked for clear sky restoral" ;
Cloud_Optical_Thickness:_FillValue = -9999s ;
Cloud_Optical_Thickness:valid_min = 0s ;
Cloud_Optical_Thickness:valid_max = 15000s ;
Cloud_Optical_Thickness:scale_factor = 0.01 ;
Cloud_Optical_Thickness:add_offset = 0. ;
Cloud_Optical_Thickness:units = "none" ;
My very first thought was to match it to Cloud_Top_Height
and the variables in aerdb_l2_viirs
, but I see the point in not having these information redundant. Can we just leave out the long_name tag or does it need to be specified, that this value should be taken from the .attrs
?
Thanks for the review!
Martin
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You'd have to test it to be sure, but these lines in the python seem to do what we'd want:
satpy/satpy/readers/viirs_l2.py
Lines 102 to 103 in 5d2b1fd
i = getattr(self[var_path], "attrs", {}) | |
i.update(ds_info) |
So if you leave long_name
out of the YAML then the reader should pull it from the file's variable's attributes.
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I left some comments that should hopefully make pre-commit other tests happier.
Co-authored-by: David Hoese <[email protected]>
Add the cloud optical thickness derived from the two channel retrieval to the CLDPROP_L2 reader of VIIRS.
AUTHORS.md
if not there already