A Machine Learning‐Based Observation Operator for FY‐4B GIIRS Brightness Temperatures Considering the Uncertainty of Label Data

The increasing volume of satellite data, particularly hyperspectral infrared data, combined with the real‐time monitoring requirements of numerical weather prediction (NWP) systems, has heightened the demand for computational efficiency and accuracy in radiative transfer models (RTM). Machine learni...

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Bibliographic Details
Published inJournal of geophysical research. Machine learning and computation Vol. 2; no. 1
Main Authors Li, Yonghui, Han, Wei, Duan, Wansuo, Li, Zeting, Li, Hao
Format Journal Article
LanguageEnglish
Published Wiley 01.03.2025
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