1-km-resolution, multi-species (PM2.5, NO2, O3, black carbon) surface air pollution by machine learning data fusion: effects of surface observation sparsity, and inclusion of GEMS geostationary satellite fields over Korea.

Tang, Beiming

1-km-resolution, multi-species (PM2.5, NO2, O3, black carbon) surface air pollution by machine learning data fusion: effects of surface observation sparsity, and inclusion of GEMS geostationary satellite fields over Korea.

Beiming Tang, University of Iowa, Iowa City, IA, United States, Carmichael Gregory, University of Iowa, Center for Global and Regional Environmental Research, Iowa City, IA, United States, Charles O Stanier, IIHR—Hydroscience and Engineering, Iowa City, IA, United States and Meng Gao, Hong Kong Baptist University, Kowloon Tong, Hong Kong