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
Satellite aerosol retrievals have been a popular alternative to monitoring the surface-based PM2.5 concentration due to their extensive spatial and temporal coverage. Satellite-derived PM2.5 estimations strongly rely on an accurate representation of the relationship between ground-level PM2.5 and sa...
Main Authors: | He, Qingqing, Wang, Mengya, Yim, Steve Hung Lam |
---|---|
Other Authors: | Asian School of the Environment |
Format: | Journal Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/161483 |
Similar Items
-
A Review on Predicting Ground PM2.5 Concentration Using Satellite Aerosol Optical Depth
by: Yuanyuan Chu, et al.
Published: (2016-10-01) -
PM<sub>2.5</sub> Retrieval Using Aerosol Optical Depth, Meteorological Variables, and Artificial Intelligence
by: Stavros-Andreas Logothetis, et al.
Published: (2023-08-01) -
Variability of Aerosol Properties Using AERONET Retrievals and Relation between Aerosol Optical Depth and PM Levels at Ioannina, Greece 2022
by: Stefanos Nasikas, et al.
Published: (2023-08-01) -
Correcting Measurement Error in Satellite Aerosol Optical Depth with Machine Learning for Modeling PM2.5 in the Northeastern USA
by: Allan C. Just, et al.
Published: (2018-05-01) -
Decoupling between PM2.5 concentrations and aerosol optical depth at ground stations in China
by: Weijie Fu, et al.
Published: (2022-08-01)