Preprint
Oct 2026
Generative and deterministic deep learning models comparison for fine-scale precipitation retrievals from infrared brightness temperature
Accurate precipitation estimation at fine spatial scales is critical for hydrology, agriculture, and climate studies. Infrared brightness temperatures from geostationary satellites offer excellent temporal coverage over continental-scale domains. However, because these measurements primarily characterize cloud-top prop...
Matthieu Meignin, C. Mallet, Nicolas Viltard
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