UH AQF and Machine Learning Group
UH AQF and Machine Learning Group
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Jia Jung
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Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy
A Coupled Deep Learning Model for Estimating Surface NO2 Levels From Remote Sensing Data: 15-Year Study Over the Contiguous United States
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