An Improved Hybrid GC-LSTM Framework for Hourly Nowcasting of Ground-Level NO2 Concentrations over Beijing-Tianjin-Hebei Region
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING（2025）
Key words
Atmospheric modeling,Monitoring,Predictive models,Satellites,Long short term memory,Forecasting,Accuracy,Air pollution,Spatial resolution,Graphical models,Grained cascade forest (gcForest),ground-level nitrogen dioxide (NO2),long short-term memory (LSTM),nowcasting,tropospheric monitoring instrument (TROPOMI)
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