New Use Case: CFSv2 tercile probabilities with HSS output

[j-opatz]

Describe the New Use Case

Another CFSv2 use case is ready to be added to the METplus repository. This use case will demonstrate several important aspects specifically related to the S2S verification timescale:

Python Embedding will be used to read in raw CFSv2 ensemble data, calculating terciles and assigning a dominant tercile to each grid point
This multi-tercile grid is passed to GridStat for processing and HSS is calculated, using the newer hss_ec_value option to calculate a similar MCTS HSS output as CPC is currently doing in house.

Use Case Name and Category

GridStat_fcstCFSv2_obsGHCNCAMS_MultiTercile

This use case will reside in the S2S category.

Input Data

Fcst: CFSv2 Ensemble (29 files, 1 year per file, 60MB each)
Obs: GHCN-Cams (234MB)

All datasets were provided by CPC

Acceptance Testing

Use case should run successfully in METplus and replicate existing verification results produced by CPC

8 min, 29ish seconds run time

Time Estimate

1 day

Sub-Issues

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Relevant Deadlines

None

Funding Source

CPC via JTTI FY20

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Define Related Issue(s)

Consider the impact to the other METplus components.

• METplus, MET, METdatadb, METviewer, METexpress, METcalcpy, METplotpy

New Use Case Checklist

See the METplus Workflow for details.

• Complete the issue definition above, including the Time Estimate and Funding source.
• Fork this repository or create a branch of develop.
  Branch name: feature_<Issue Number>_<Description>
• Complete the development and test your changes.
• Add/update log messages for easier debugging.
• Add/update unit tests.
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• Add any new Python packages to the METplus Components Python Requirements table.
• Push local changes to GitHub.
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• Iterate until the reviewer(s) accept your changes. Merge branch into develop.
• Create a second pull request to merge develop into develop-ref, following the same steps for the first pull request.
• Delete your fork or branch.
• Close this issue.