New Use Case: PointStat AMDAR PBLH with python embedding

[jason-english]

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Describe the New Use Case

Using python embedding, compute PBLH from AMDAR aircraft data using the "Theta-increase" method (Nielsen-Gammon et al., 2008, J. App. Met. Clim.), which creates an altitude ascending array for each flight, computes a potential temperature base value, and finds the first altitude that exceeds a specified increase in potential temperature. The geographic region(s)/airport(s) of interest is specified, and the lat/lon domain to determined by processing a static mask (which is created for each region/airport via gen_vx_mask). The airport(s), pt_delta (theta-increase), and sounding can all be specified in the configuration script.

Use Case Name and Category

PointStat_fcstHRRR_obsAMDAR_PBLH
Category: model_applications/pbl

Input Data

AMDAR hourly netcdf file: 221822000q.cdf (7.1 MB)
HRRR grib2 file: hrrr_pblh_2218208000012 (5.1 MB)

Acceptance Testing

Use gen_vx_mask to create a circular static mask around the airport(s) of interest, and then point-stat with python embedding to generate .stat files of PBL Height.

Time Estimate

Approximately 3 months (including PBLH algorithm development)

Sub-Issues

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Relevant Deadlines

To be implemented as part of the June 2023 MET/METplus release.

Funding Source

GSL Task II funds

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Define Related Issue(s)

Consider the impact to the other METplus components.

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

New Use Case Checklist

See the METplus Workflow for details.

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