Comparison of GEOS-Chem aerosol optical depth with AERONET and MISR data over the contiguous United States

被引:30
|
作者
Li, Shenshen [1 ,2 ]
Garay, Michael J. [3 ]
Chen, Liangfu [1 ]
Rees, Erika [2 ]
Liu, Yang [2 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
[2] Emory Univ, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA
[3] CALTECH, Jet Prop Lab, Pasadena, CA USA
基金
中国国家自然科学基金;
关键词
MATTER COMPONENT CONCENTRATIONS; IMPROVED ALGORITHM; FIRE EMISSIONS; MINERAL DUST; SATELLITE; THICKNESS; MODEL; RETRIEVALS; SIZE; CONSTRAINTS;
D O I
10.1002/jgrd.50867
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Aerosol optical properties simulated by the global 3-D tropospheric chemistry and transport model Goddard Earth Observing System (GEOS)-Chem (GC) from 2008 to 2010 over the contiguous United States were evaluated with ground observations from Aerosol Robotic Network (AERONET) sites and aerosol products reported by the Multiangle Imaging Spectroradiometer (MISR). Overall, the correlation coefficient (r) and regression slope between AERONET and GC 2° × 2.5° (2° latitude × 2.5° longitude) daily total column aerosol optical depth (AOD) were 0.6 and 0.51, respectively. After using the nested GC0.5° × 0.667° model to control for spatial variability, removing several outliers, and averaging over a monthly timescale, the agreement was significantly improved to an r of 0.84 and a slope of 0.75. Seasonal, hourly, and geographical statistics for GC 0.5° × 0.667° and AERONET AODs show a similar data range and variation, with higher mean values in the summer, the evening, and in the eastern U.S. Smaller correlation coefficients are seen in the summer and winter, in the evening, and in the western U.S. To investigate the optical properties of major GC tracers, MISR level 2 aerosol products were used to calculate inorganic aerosol, dust, and absorbing non-dust AOD. Both GC and MISR suggest that on average, inorganic aerosol has the highest AOD (GC: 0.071, MISR: 0.089) nationally, followed by absorbing non-dust species (GC: 0.025, MISR: 0.041), and dust (GC: 0.013, MISR: 0.014). The large discrepancies in our intercomparison are due to GC underestimation of inorganic aerosol levels during all four seasons in the western U.S. and dust during summer in the eastern U.S., along with overestimation of summertime-absorbing non-dust species over the northwestern U.S. These uncertainties are attributed to underestimation of inorganic aerosol emissions in more polluted western regions, the transport of Sahara dust in the summer, misuse of the fire files, MISR retrieval uncertainties in the surface, and choice of aerosol models. Key Points GEOS-Chem simulated AODs are evaluated with AERONET and MISR in the U.S. Monthly mean AERONET and nested GEOS-Chem AODs are well correlated GC bias in inorganic aerosols and MISR errors contribute to the differences ©2013. American Geophysical Union. All Rights Reserved.
引用
收藏
页码:11228 / 11241
页数:14
相关论文
共 50 条
  • [41] Long-term variations of aerosol optical depth and aerosol radiative forcing over Iran based on satellite and AERONET data
    Arkian, F.
    Nicholson, S. E.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (01)
  • [42] FTIR time series of stratospheric NO2 over Hefei, China, and comparisons with OMI and GEOS-Chem model data
    Yin, Hao
    Sun, Youwen
    Liu, Cheng
    Zhang, Lin
    Lu, Xiao
    Wang, Wei
    Shan, Changgong
    Hu, Qihou
    Tian, Yuan
    Zhang, Chengxin
    Su, Wenjing
    Zhang, Huifang
    Palm, Mathias
    Notholt, Justus
    Liu, Jianguo
    OPTICS EXPRESS, 2019, 27 (16): : A1225 - A1240
  • [43] Aerosol vertical distribution in dust outflow over the Atlantic: Comparisons between GEOS-Chem and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO)
    Generoso, Sylvia
    Bey, Isabelle
    Labonne, Mathieu
    Breon, Francois-Marie
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113
  • [44] Analysis of the weekly cycle of aerosol optical depth using AERONET and MODIS data
    Xia, Xiangao
    Eck, Tom F.
    Holben, Brent N.
    Phillippe, Goloub
    Chen, Hongbin
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113 (D14)
  • [45] Comparative analysis of CAMS aerosol optical depth data and AERONET observations in the Eastern Mediterranean over 19 years
    Tuna Tuygun G.
    Elbir T.
    Environmental Science and Pollution Research, 2024, 31 (18) : 27069 - 27084
  • [46] Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations
    Kahn, RA
    Gaitley, BJ
    Martonchik, JV
    Diner, DJ
    Crean, KA
    Holben, B
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D10) : 1 - 16
  • [47] A multi-angle aerosol optical depth retrieval algorithm for geostationary satellite data over the United States
    Zhang, H.
    Lyapustin, A.
    Wang, Y.
    Kondragunta, S.
    Laszlo, I.
    Ciren, P.
    Hoff, R. M.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2011, 11 (23) : 11977 - 11991
  • [48] Aerosol optical depth over the Baltic Sea derived from AERONET and SeaWiFS measurements
    Carlund, T
    Håkansson, B
    Land, P
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2005, 26 (02) : 233 - 245
  • [49] Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites
    Shi, Hanyu
    Xiao, Zhiciiang
    Zhan, Xuchen
    Ma, Han
    Tian, Xiaodan
    ATMOSPHERIC RESEARCH, 2019, 220 : 75 - 80
  • [50] An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska
    McPhetres, Alyson
    Aggarwal, Srijan
    REMOTE SENSING, 2018, 10 (09)