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CESM output Pressure Level Interpolation Error #443
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@WillyChap The standarad_name for "lev" for the 4D variables required by the MJO_suite POD does not match the spec in the POD's settings file; "lev" in your data is defined as "atmosphere_hybrid_sigma_pressure_coordinate", but the POD defines it as "air_pressure". Additionally, in the CESM/NCAR fieldlist that the framework uses for variable translation and preprocessing, the variable "lev" maps to "atmosphere_hybrid_sigma_pressure_coordinate", while "plev" maps to "air_pressure". Unfortunately, the CESM test dataset used for this POD uses pre-defined levels, so I can't try to replicate the problem on my end without a copy of the data you are using. You can try the following: -If your data defines the standard_name for "plev" (or some other coordinate variable) as "air_pressure", redefine the "lev" standard_name in the MJO_suite settings file to match. If you are still having trouble, please provide your data on globus, or via ftp. I'll also need a copy your configuration jsonc file, or you can direct me to a branch on your MDTF-diagnostics fork that is up-to-date with local copy that you are using for your tests. |
@wrongkindofdoctor Thanks for the quick response ! Im not sure that I understand route 1 (-If your data defines the standard_name for "plev" (or some other coordinate variable) as "air_pressure", redefine the "lev" standard_name in the MJO_suite settings file to match.). CESM only outputs hybrid sigma pressure coordinates, thus there is no coordinate or data on pressure levels. Typically we can specify CESM to output certain variables on specified pressure levels at runtime, but this is outside of the CMIP standard files. I think if we specified lev variable as a pressure coordinate then the interpolation would be incorrect. But I might not be understanding! |
This is as close to native CESM output as we can get (since we have to make
timeseries of actual CESM output). As Will says, the
atmosphere_hybrid_sigma_pressure_coordinate *is* the CESM
vertical coordinate. Perhaps the change to air_pressure was made without
testing CESM files. I can look at the code and Will's files this afternoon
and see what I can do.
…On Fri, Jan 20, 2023 at 9:27 AM William ***@***.***> wrote:
@wrongkindofdoctor <https://github.com/wrongkindofdoctor> Thanks for the
quick response ! Im not sure that I understand route 1 (*-If your data
defines the standard_name for "plev" (or some other coordinate variable) as
"air_pressure", redefine the "lev" standard_name in the MJO_suite settings
file to match.*). CESM only outputs hybrid sigma pressure coordinates,
thus there is no coordinate or data on pressure levels.
Typically we can specify CESM to output certain variables on specified
pressure levels at runtime, but this is outside of the CMIP standard files.
I think if we specified lev variable as a pressure coordinate then the
interpolation would be incorrect. But I might not be understanding!
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@WillyChap @bitterbark The framework does not interpolate data from hybrid sigma coordinates to pressure levels. The extract level function will only work on fields defined on pressure levels.
The QBOi.EXP1.AMIP.001 dataset is the one I'm referring to. The raw data was interpolated to the requisite pressure levels beforehand. For example, the ncdump of daily u850 shows the following:
|
I guess that was my misconception. Sorry about that, @WillyChap. There used to be code in the MJO_suite itself that would call the NCL vertical interpolator when supplied with a 3D field. I'll look around for that, and test it without the data preprocessor. |
Here is a work around. Note that it requires
And a note on this case, @WillyChap, the initial files are being made but the final results are failing, I think that is because there isn't enough data (as you mentioned earlier). |
Tagging @judithberner |
Hello,
We are currently trying to run the MJO_Suite POD using standard CESM model output. We are running into an issue where mdtf is unable to interpolate the 3D U/V winds to the correct pressure levels and thus MDTF tanks. The relevant part of the error message is below.
We have tried add the PS time series to the input_data files, but this didn't seem to fix the issue.
Currently we are running mdtf v3.0 (pulled today).
Any help is appreciated!
Thanks!
@bitterbark
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