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Author

Run-Yi Zhou

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Open access Aug 2026

A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder

Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in rea...

Si-Rui Wu, Jian-Cong Hua, Run-Yi Zhou et al. · 0 citations
Open access Aug 2026

Spatially Complete Monthly XCH4 Mapping over China from 2019 to 2024: A Multi-Model Analysis Using Machine Learning

Satellite retrievals of the dry-air column-averaged mole fraction of methane (XCH4) contain substantial spatial gaps, limiting monthly comparisons over a fixed domain. We developed CatBoost (CATB), random forest (RF), and multilayer perceptron (MLP) models to reconstruct spatially complete monthly XCH4 fields over Chin...

Hao Song, Run-Yi Zhou, Meng-Ya Sheng et al. · 0 citations

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