ML4WX

Observations & remote sensing

Taking Advantage of Machine Learning Methods to Better Represent Fire Radiative Power (FRP) for Smoke and Weather Forecasting Models

Christina Bonfanti, Stevan Maksimović, Jebb Q. Stewart, Ravan Ahmadov, Mark Govett

100th American Meteorological Society Annual Meeting · · NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)

Paper

In one sentence. Applies machine learning to satellite fire radiative power to improve fire representation in smoke and weather forecasting models; abstract not available.

Labels

Topic
Observations & remote sensing
Type
New model or method
Domain
Regional
Data
Satellite
Status
Research
Identifiers
OpenAlex:W3006442815
Added
2026-10-22

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