Correct mismatched parms for IMS converter

[yuanxue2870]

Description

Mismatched mfsno parameters for certain veg type were found between IMS coverter table and currently-used v17 Noah-MP table (https://github.com/ufs-community/ccpp-physics/blob/91d979065ed41ef9503b837b42ac0850d71cc6b0/physics/SFC_Models/Land/Noahmp/noahmptable.tbl). The mismatch forces model to loss snow at the next forecast step and yield consistently positive snodl increments especially when the snow density is high.

Companion PRs

N/A

Issues

Resolves #2112

Automated CI tests to run in Global Workflow

• atm_jjob
• C96C48_ufs_hybatmDA
• C96C48_hybatmsnowDA
• C96_gcafs_cycled
• C48mx500_3DVarAOWCDA
• C48mx500_hybAOWCDA
• C96C48_ufsgsi_hybatmDA
• C48_ufsenkf_atmDA
• C96C48_hybatmDA

[ClaraDraper-NOAA]

These parameters were reduced in the first place as the assimilation of snow cover for high MFsnow can blow up the snow depth (since the model can't generate 100% snow depth, but the obs can). The real issue is that these parameters need to be reduced in the model, but that will likely have negative consequences on the temperatures and will require some time to figure out.

For now, the best solution is to add QC to the IMS DA to not assimilate the snow cover data over the affected vegetation types. @yuanxue2870 please close this PR, and when you're ready open one that excludes the IMS obs over the problematic vegetation types.