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Spuriously large and unphysical increments in EnKF on release/rrfs.v1.0.0 #960

@SamuelDegelia-NOAA

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@SamuelDegelia-NOAA

When running EnKF retros in the dev-sci branch of rrfs-workflow, we found that the increments can be extremely large:

Here are increments from the first cycle of a conus13km retro using 30 members and only assimilating aircar temperature and wind observations:

ens. mean anal. increment min/max  u   -400.986419678        526.739135742    
ens. mean anal. increment min/max  v   -299.293304443        286.644195557    
ens. mean anal. increment min/max  t   -50.3178100586        261.687805176    
ens. mean anal. increment min/max  oz  -0.537249161425E-05   0.100919532997E-04
ens. mean anal. increment min/max  ps   -101.541290283        21.7783260345    

These increments are unphysical and crash the subsequent ensemble forecasts.

Updates to src/enkf/mpi_readobs.f90 can resolve this problem:

ens. mean anal. increment min/max  u   -24.8986816406        27.3974285126    
ens. mean anal. increment min/max  v   -30.1263866425        35.6076431274    
ens. mean anal. increment min/max  t   -4.40757656097        6.25625514984    
ens. mean anal. increment min/max  oz  -0.423902207558E-06   0.442797130518E-06  
ens. mean anal. increment min/max  ps   -1.66400146484        2.14062714577   

Here is the ChatGPT summary of the changes made to mpi_readobs.f90: "this update fixes the large spurious increments because it removes a fragile shared memory plus “root only” reduction pattern and replaces it with a straightforward, globally consistent reduction of a normal Fortran array. That prevents corrupted or incomplete ensemble priors in observation space, which were manifesting as giant outlier perturbations and thus giant increments". However, we are still not sure if this problem is specifically due to GSI or something with the configuration in rrfs-workflow. We will need more testing once mpi_readobs.f90 is updated.

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