ML4WX

Observations & remote sensing

Airborne Radar Quality Control with Machine Learning

Alexander J. DesRosiers, Michael M. Bell

Artificial Intelligence for the Earth Systems · · Colorado State University (incl. CIRA)

PaperPDF

In one sentence. Random forest automates quality control of airborne Doppler radar data, classifying about 96% of weather and 93% of nonweather gates on withheld data.

Labels

Topic
Observations & remote sensing
Type
New model or method
Method
Classical ML (trees, GP, linear, kernels)
Domain
Regional
Data
Radar
Status
Research
Identifiers
DOI:10.1175/aies-d-23-0064.1 OpenAlex:W4390267593
Added
2026-10-22

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