For dtcenter/METplus#2390, users want to use ADPUPA data (radiosondes/soundings). These data are typically available in PREPBUFR format, which can be read by PB2NC. However, the output from PB2NC is not suitable for a user to interact with in a Python embedding script. This work is to add new functionality to the MET Python "module" https://github.com/dtcenter/MET/tree/main_v11.1/scripts/python/met point class to have the ability to receive a MET observation netcdf file (or an Xarray Dataset/DataArray?) and return a Pandas DataFrame object for the user. Functionality already exists to go from the MET 11-column format to the MET observation format (convert_point_data,

), this is effectively asking for the reverse except the object returned to the user is a Pandas DataFrame and not the 11-column "list of lists".

Time Estimate

2-3 days

Sub-Issues

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Relevant Deadlines

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Funding Source

Primary 7790111 (CLASP), secondary 7750034 (UAlbany-NCAR METplus JTTI)

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Define Related Issue(s)

Consider the impact to the other METplus components.

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

Enhancement Checklist

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