ML4WX

Observations & remote sensing

Assimilating GOES-R Latent Heating in FV3 using Machine Learning

Yoonjin Lee, Kyle Hilburn, Milija Županski, Ting‐Chi Wu

Preprint · · Colorado State University (incl. CIRA)

Paper

In one sentence. A CNN called GREMLIN fuses GOES-R ABI and GLM data into synthetic radar reflectivity, proposed to feed convective-scale data assimilation and latent heating initialization.

Labels

Topic
Observations & remote sensing, Data assimilation
Type
New model or method
Method
CNN / U-Net
Time scale
0–6 h
Domain
Regional
Data
Satellite, Radar
Status
Research
Identifiers
DOI:10.1002/essoar.10504858.1 OpenAlex:W3195057889
Added
2026-10-22

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