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
  • [21] An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska
    McPhetres, Alyson
    Aggarwal, Srijan
    REMOTE SENSING, 2018, 10 (09)
  • [22] The impact of aerosol optical depth assimilation on aerosol forecasts and radiative effects during a wild fire event over the United States
    Chen, D.
    Liu, Z.
    Schwartz, C. S.
    Lin, H. -C.
    Cetola, J. D.
    Gu, Y.
    Xue, L.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7 (06) : 2709 - 2715
  • [23] Validation of satellite and model aerosol optical depth and precipitable water vapour observations with AERONET data over Pune, India
    Vijayakumar, K.
    Devara, P. C. S.
    Giles, David M.
    Holben, Brent N.
    Rao, S. Vijaya Bhaskara
    Jayasankar, C. K.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (21) : 7643 - 7663
  • [24] Intercomparison of CALIOP, MODIS, and AERONET aerosol optical depth over China during the past decade
    Liu, Chaoshun
    Shen, Xianxia
    Gao, Wei
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (21) : 7251 - 7275
  • [25] 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
    Zhai, Shixian
    Jacob, Daniel J.
    Brewer, Jared F.
    Li, Ke
    Moch, Jonathan M.
    Kim, Jhoon
    Lee, Seoyoung
    Lim, Hyunkwang
    Lee, Hyun Chul
    Kuk, Su Keun
    Park, Rokjin J.
    Jeong, Jaein, I
    Wang, Xuan
    Liu, Pengfei
    Luo, Gan
    Yu, Fangqun
    Meng, Jun
    Martin, Randall, V
    Travis, Katherine R.
    Hair, Johnathan W.
    Anderson, Bruce E.
    Dibb, Jack E.
    Jimenez, Jose L.
    Campuzano-Jost, Pedro
    Nault, Benjamin A.
    Woo, Jung-Hun
    Kim, Younha
    Zhang, Qiang
    Liao, Hong
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (22) : 16775 - 16791
  • [26] Aerosol optical depth retrieval over the NASA Stennis Space Center: MTI, MODIS, and AERONET
    Chylek, P
    Henderson, BG
    Lesins, G
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (09): : 1978 - 1983
  • [27] Infrared dust aerosol optical depth retrieved daily from IASI and comparison with AERONET over the period 2007-2016
    Capelle, V.
    Chedin, A.
    Pondrom, M.
    Crevoisier, C.
    Armante, R.
    Crepeau, L.
    Scott, N. A.
    REMOTE SENSING OF ENVIRONMENT, 2018, 206 : 15 - 32
  • [28] Seasonal and spatial variations of global aerosol optical depth: multi-year modelling with GEOS-Chem-APM and comparisons with multiple-platform observations
    Ma, Xiaoyan
    Yu, Fangqun
    TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2015, 67
  • [29] Evaluation of MODIS, MISR, and VIIRS daily level-3 aerosol optical depth products over land
    Chen, Qi-Xiang
    Han, Xin-Lei
    Gu, Yu
    Yuan, Yuan
    Jiang, Jonathan H.
    Yang, Xue-Bo
    Liou, Kuo-Nan
    Tan, He-Ping
    ATMOSPHERIC RESEARCH, 2022, 265
  • [30] Impact of Moderate Resolution Imaging Spectroradiometer Aerosol Optical Depth and AirNow PM2.5 assimilation on Community Multi-scale Air Quality aerosol predictions over the contiguous United States
    Chai, Tianfeng
    Kim, Hyun-Cheol
    Pan, Li
    Lee, Pius
    Tong, Daniel
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (10) : 5399 - 5415