Estimating long-term PM2.5 concentrations in China using satellite-based aerosol optical depth and a chemical transport model

Remote Sensing of Environment

Volumn 166, Issue , 2015, Pages 262-270

  Geng, Guannan ^a,b   Zhang, Qiang ^a   Martin, Randall V ^b,c   van Donkelaar, Aaron ^b   Huo, Hong ^a   Che, Huizheng ^d   Lin, Jintai ^e   He, Kebin ^a  

^a TSINGHUA UNIVERSITY   (China)

^b DALHOUSIE UNIVERSITY   (Canada)

^c HARVARD SMITHSONIAN CENTER FOR ASTROPHYSICS   (United States)

^d STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^e PEKING UNIVERSITY   (China)

Author keywords

Aerosol optical depth; Particulate matter; Satellite remote sensing

Indexed keywords

AEROSOLS; AIR QUALITY; ATMOSPHERIC AEROSOLS; OPTICAL PROPERTIES; OPTICAL RADAR; SATELLITE IMAGERY; SATELLITES; SPACE OPTICS; UNCERTAINTY ANALYSIS;

AEROSOL OPTICAL DEPTHS; AEROSOL VERTICAL PROFILES; CHEMICAL TRANSPORT MODELS; FINE PARTICULATE MATTER; PARTICULATE MATTER; SATELLITE OBSERVATIONS; SATELLITE REMOTE SENSING; WORLD HEALTH ORGANIZATION;

REMOTE SENSING;

AEROSOL; AIR QUALITY; CALIOP; CONCENTRATION (COMPOSITION); EMISSION INVENTORY; GROUND-BASED MEASUREMENT; HEALTH IMPACT; LIDAR; LONG-TERM CHANGE; MISR; MODIS; OPTICAL DEPTH; PARTICULATE MATTER; POLLUTANT TRANSPORT; POLLUTION MONITORING; REMOTE SENSING; SATELLITE DATA; SPATIOTEMPORAL ANALYSIS; VERTICAL PROFILE; WORLD HEALTH ORGANIZATION;

CHINA;

EID: 84937969138     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.05.016     Document Type: Article

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