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ML-driven cross-calibration of microwave and infrared instruments

Microwave (MW) and infrared (IR) observations are fundamental for weather forecasting, climate monitoring, and atmospheric sounding. Traditionally, inter-calibration efforts have focused on harmonizing measurements between similar instruments or within the same spectral domain. In this study, we exp...

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Détails bibliographiques
Auteurs principaux: Isaac Moradi, Satya Kalluri
Format: Artigo
Langue:Inglês
Publié: IOP Publishing 2025-01-01
Collection:Machine Learning. Earth
Sujets:
Accès en ligne:https://doi.org/10.1088/3049-4753/ae1cce
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