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Deriving 24-h seamless near-surface NO2 in China through integration of GEMS observations, model simulations, and machine learning
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DOI：10.1016/j.atmosenv.2026.122204.png)
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Abstract
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• 24-h spatiotemporally continuous near-surface NO2 over China is estimated. • GEMS satellite data and GEOS-CF simulation data are integrated for 24-h modeling. • Near-surface hourly NO2 estimates show good performance (cross-validation R2 > 0.75). • Day-night NO2 variations and NO2 changes during heavy rainfall events are examined.
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