ML4WX

Observations & remote sensing

Application of Machine Learning Techniques to Improve Multi-Radar Multi-Sensor (MRMS) Precipitation Estimates in the Western United States

Andrew P. Osborne, Jian Zhang, Micheal J. Simpson, Kenneth W. Howard, Stephen B. Cocks

Artificial Intelligence for the Earth Systems · · NOAA (incl. GFDL, PSL, GSL, NCEP/EMC), University of Oklahoma (AI2ES)

PaperPDF

In one sentence. CNN corrects MRMS radar precipitation estimates over complex western US terrain, beating radar QPE on several atmospheric river events in a year-long evaluation.

Labels

Topic
Observations & remote sensing
Type
New model or method
Method
CNN / U-Net
Domain
Regional
Data
Radar, Station / in-situ
Status
Pre-operational / experimental
Identifiers
DOI:10.1175/aies-d-22-0053.1 OpenAlex:W4321071162
Added
2026-10-22

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