Article

Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations

公开 Deposited
https://scholar.colorado.edu/concern/articles/nc580p01f
Abstract
  • Geostationary satellite measurements of aerosol optical depth (AOD) over East Asia from the Geostationary Ocean Color Imager (GOCI) and Advanced Himawari Imager (AHI) instruments can augment surface monitoring of fine particulate matter (PM2.5) air quality, but this requires better understanding of the AOD–PM2.5 relationship. Here we use the GEOS-Chem chemical transport model to analyze the critical variables determining the AOD–PM2.5 relationship over East Asia by simulation of observations from satellite, aircraft, and ground-based datasets. This includes the detailed vertical aerosol profiling over South Korea from the KORUS-AQ aircraft campaign (May–June 2016) with concurrent ground-based PM2.5 composition, PM10, and AERONET AOD measurements. The KORUS-AQ data show that 550 nm AOD is mainly contributed by sulfate–nitrate–ammonium (SNA) and organic aerosols in the planetary boundary layer (PBL), despite large dust concentrations in the free troposphere, reflecting the optically effective size and high hygroscopicity of the PBL aerosols. We updated SNA and organic aerosol size distributions in GEOS-Chem to represent aerosol optical properties over East Asia by using in situ measurements of particle size distributions from KORUS-AQ. We find that SNA and organic aerosols over East Asia have larger size (number median radius of 0.11 µm with geometric standard deviation of 1.4) and 20 % larger mass extinction efficiency as compared to aerosols over North America (default setting in GEOS-Chem). Although GEOS-Chem is successful in reproducing the KORUS-AQ vertical profiles of aerosol mass, its ability to link AOD to PM2.5 is limited by under-accounting of coarse PM and by a large overestimate of nighttime PM2.5 nitrate. The GOCI–AHI AOD data over East Asia in different seasons show agreement with AERONET AODs and a spatial distribution consistent with surface PM2.5 network data. The AOD observations over North China show a summer maximum and winter minimum, opposite in phase to surface PM2.5. This is due to low PBL depths compounded by high residential coal emissions in winter and high relative humidity (RH) in summer. Seasonality of AOD and PM2.5 over South Korea is much weaker, reflecting weaker variation in PBL depth and lack of residential coal emissions.

     

    Full List of Authors

    Shixian Zhai1, Daniel J. Jacob1, Jared F. Brewer1, Ke Li1, Jonathan M. Moch1, Jhoon Kim2,3, Seoyoung Lee2, Hyunkwang Lim2, Hyun Chul Lee3, Su Keun Kuk3, Rokjin J. Park4, Jaein I. Jeong4, Xuan Wang5, Pengfei Liu6, Gan Luo7, Fangqun Yu7, Jun Meng8, Randall V. Martin9, Katherine R. Travis10, Johnathan W. Hair10, Bruce E. Anderson10, Jack E. Dibb11, Jose L. Jimenez12, Pedro Campuzano-Jost12, Benjamin A. Nault12,a, Jung-Hun Woo13, Younha Kim14, Qiang Zhang15, and Hong Liao16

    • 1Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
    • 2Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
    • 3Samsung Particulate Matter Research Institute, Samsung Advanced Institute of Technology, 130 Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, Republic of Korea
    • 4School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
    • 5School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China
    • 6School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
    • 7Atmospheric Sciences Research Center, University at Albany, Albany, New York, USA
    • 8Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, California, USA
    • 9Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO, USA
    • 10NASA Langley Research Center, Hampton, VA, USA
    • 11Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, USA
    • 12Department of Chemistry, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
    • 13Department of Civil and Environmental Engineering, Konkuk University, Seoul, Republic of Korea
    • 14International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
    • 15Department of Earth System Science, Tsinghua University, Beijing, China
    • 16Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China
    • anow at: Center for Aerosol and Cloud Chemistry, Aerodyne Research, Inc., Billerica, MA, USA

     

     

Creator
Date Issued
  • 2021
Academic Affiliation
Journal Title
Journal Issue/Number
  • 22
Journal Volume
  • 21
最新修改
  • 2022-07-26
Resource Type
权利声明
License
DOI
ISSN
  • 1680-7324
Language

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