Articles | Volume 21, issue 24
https://doi.org/10.5194/acp-21-18375-2021
https://doi.org/10.5194/acp-21-18375-2021
Research article
 | 
17 Dec 2021
Research article |  | 17 Dec 2021

The spatiotemporal relationship between PM2.5 and aerosol optical depth in China: influencing factors and implications for satellite PM2.5 estimations using MAIAC aerosol optical depth

Qingqing He, Mengya Wang, and Steve Hung Lam Yim

Data sets

Ministry of Ecology and Environment of the People's Republic of China MEEC https://www.mee.gov.cn/

Level-1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC) NASA https://ladsweb.modaps.eosdis.nasa.gov/search/

AERONET NASA https://aeronet.gsfc.nasa.gov/

Download
Short summary
We explore the spatiotemporal relationship between PM2.5 and AOD over China using a multi-scale analysis with MODIS MAIAC 1 km aerosol observations and ground measurements. The impact factors (vertical distribution, relative humidity and terrain) on the relationship are quantitatively studied. Our results provide significant information on PM2.5 and AOD, which is informative for mapping high-resolution PM2.5 and furthering the understanding of aerosol properties and the PM2.5 pollution status.
Altmetrics
Final-revised paper
Preprint