Retrieving hourly seamless PM2. 5 concentration across China with physically informed spatiotemporal connection

Y Ding, S Li, J Xing, X Li, X Ma, G Song, M Teng… - Remote Sensing of …, 2024 - Elsevier
Seamless hourly surface fine particulate matters (PM 2.5) datasets are urgently needed for
environmental and epidemiologic studies. Most existing models rely on satellite AOD with …
被引用次数：5 相关文章

Retrieving hourly seamless PM2.5 concentration across China with physically informed spatiotemporal connection

Y Ding, S Li, J Xing, X Li, X Ma… - Remote Sensing of …, 2024 - ui.adsabs.harvard.edu
Seamless hourly surface fine particulate matters (PM 2.5) datasets are urgently needed for
environmental and epidemiologic studies. Most existing models rely on satellite AOD with …