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New Use Case: Satellite Altimetry data #2383

@AliciaBentley-NOAA

Description

@AliciaBentley-NOAA

Describe the New Use Case

EMC needs to be able to read satellite altimetry data in order to verify significant wave height in GFS-wave and GEFS-wave forecasts. Satellite Altimetry data is in netCDF format. A python wrapper, similar to what was created for the scatterometer Use Case, perhaps!

Use Case Name and Category

Use case name is unknown for now, but should follow:
PointStat_fcstGFS_obsJASON3_satelliteAltimetry

Input Data

JASON-3, SARAL/ALTIKA, and Sentinel-6a are satellite altimetry datasets.
Data can be obtained from PO.DAAC (NASA). https://github.com/podaac/data-subscriber has code to read their altimeter data and more (pull out region, time, etc). Global would be good, since GFS-wave and GEFS-wave are global models.

Contact @AliciaBentley-NOAA for questions about input data and who should perform the Release Acceptance Testing step.

Acceptance Testing

Success of this use case will be two things: a successful run through METplus with the datasets listed above, and meaningful output for EMC that they can utilize.

Time Estimate

Estimate the amount of work required here.
Issues should represent approximately 1 to 3 days of work.

Sub-Issues

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Define Related Issue(s)

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New Use Case Checklist

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  • 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.
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  • Add any new Python packages to the METplus Components Python Requirements table.
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    Select: Reviewer(s) and Development issues
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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.

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