Articles | Volume 15, issue 22
https://doi.org/10.5194/acp-15-13133-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-13133-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Nov 2015
Research article |
| 27 Nov 2015
Estimating ground-level PM2.5 in eastern China using aerosol optical depth determined from the GOCI satellite instrument
J.-W. Xu
CORRESPONDING AUTHOR
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada
R. V. Martin
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada
Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA
A. van Donkelaar
Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Canada
Department of Physics and Atmospheric Sciences, Yonsei University, Seoul, South Korea
Department of Physics and Atmospheric Sciences, Yonsei University, Seoul, South Korea
Q. Zhang
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
L. Huang
State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Institute for Global Change Studies, Tsinghua University, Beijing, China
Department of Marine Sciences, Texas A&M University at Galveston, Galveston, Texas, USA
Department of Atmospheric Sciences, Texas A&M University, College Station, Texas, USA
H. Chen
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing, China
P. Lin
Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
N. Lin
Department of Atmospheric Sciences, National Central University, Taoyan, Taiwan
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Latest update: 26 Nov 2025
Short summary
1. GOCI (Geostationary Ocean Color Imager) retrieval of AOD is consistent with AERONET AOD (RMSE=0.08-0.1)
2. GOCI-derived PM2.5 is in significant agreement with in situ observations (r2=0.66, rRMSE=18.3%)
3. Population-weighted GOCI-derived PM2.5 over eastern China for 2013 is 53.8 μg/m3, threatening the health of its more than 400 million residents
4. Secondary inorganics (SO42-, NO3-, NH4+) & organic matter are the most significant components of GOCI-derived PM2.5.
1. GOCI (Geostationary Ocean Color Imager) retrieval of AOD is consistent with AERONET AOD...
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