Comments (4)
alejandrobodas
commented on August 11, 2024
This bug has uncovered a lack of robustness in the calculation of some CALIPSO diagnostics. Some diagnostics produce wrong results when requested on model levels. This could be because they shouldn't be calculated on model levels or because the calculations are have bugs. If the former we need some quality control that checks for consistency between the requested configuration and outputs. I haven't fixed this in this change, I've created a new test (Global UM with diagnostics on model levels) that doesn't request the problematic diagnostics:
Lclzopaquecalipso=.false.,
Lclopaquemeanz=.false.,
Lclthinmeanz=.false.,
Lclopaquemeanzse=.false.,
Lclthinmeanzse=.false.,
Lclzopaquecalipsose=.false.,
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alejandrobodas
commented on August 11, 2024
As part of this change, I've made some minor changes to plot_test_outputs.py so that it doesn't fail when variables are not present in the output file.
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dustinswales
commented on August 11, 2024
@alejandrobodas
Thanks for finding this bug and cleaning it up!
We can leave this issue open, I will take a look at the calipso diagnostics on model/stat levels soon.
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alejandrobodas
commented on August 11, 2024
PR #69 only partially addresses the issues raised here, so I'm reopening this issue.
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Related Issues (20)
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