TY - JOUR
T1 - Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol-Coupled CAS-FGOALS Model
AU - Wang, Hao
AU - Dai, Tie
AU - Goto, Daisuke
AU - Bao, Qing
AU - He, Bian
AU - Liu, Yimin
AU - Takemura, Toshihiko
AU - Nakajima, Teruyuki
AU - Shi, Guangyu
N1 - Funding Information:
This study is financially supported by the National Natural Science Funds of China (41875133, 41590875, and 41605083), the Youth Innovation Promotion Association CAS (2020078), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA2006010302), and the National Key R&D Program of China (2017YFC0209803, 2016YFC0202001). The authors thank the AERONET and MODIS, MODIS, MISR, AATSR‐SU and SeaWiFS teams for the data used in this study.
Publisher Copyright:
© 2020. The Authors.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/12/27
Y1 - 2020/12/27
N2 - We implement an existing aerosol module named Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) in the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System (CAS-FGOALS) model and simulate the global aerosol properties over 2002–2014. The simulated surface mass concentrations of individual aerosols generally reproduce the observed ones. The simulated spatial-temporal distributions of the aerosol optical depths (AODs) are evaluated with multisource satellite retrievals, and the simulated AOD, Ångström Exponent (AE), and single scattering albedo (SSA) are further evaluated with the ground-based Aerosol Robotic Network (AERONET) measurements. The spatial distribution of the modeled AOD is found to be generally comparable to the satellite retrievals. The interannual and seasonal variations of the modeled AOD over various aerosol regimes are also overall consistent with the AERONET observations. With respect to the AE, our model can reproduce the interannual variations fairly well over the dust dominant regions, and generally capture the seasonal variations over the industrial domain regions. Over the industrial domain regions, however, the systematic underestimation of the simulated AE is found, which is in part due to the biases of wind fields and overestimation of the relative humidity (RH) by the host model. With respect to the SSA, our model can also generally reproduce the observed seasonal variations, while the modeled values are typically lower than the observations, especially over North Africa.
AB - We implement an existing aerosol module named Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) in the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System (CAS-FGOALS) model and simulate the global aerosol properties over 2002–2014. The simulated surface mass concentrations of individual aerosols generally reproduce the observed ones. The simulated spatial-temporal distributions of the aerosol optical depths (AODs) are evaluated with multisource satellite retrievals, and the simulated AOD, Ångström Exponent (AE), and single scattering albedo (SSA) are further evaluated with the ground-based Aerosol Robotic Network (AERONET) measurements. The spatial distribution of the modeled AOD is found to be generally comparable to the satellite retrievals. The interannual and seasonal variations of the modeled AOD over various aerosol regimes are also overall consistent with the AERONET observations. With respect to the AE, our model can reproduce the interannual variations fairly well over the dust dominant regions, and generally capture the seasonal variations over the industrial domain regions. Over the industrial domain regions, however, the systematic underestimation of the simulated AE is found, which is in part due to the biases of wind fields and overestimation of the relative humidity (RH) by the host model. With respect to the SSA, our model can also generally reproduce the observed seasonal variations, while the modeled values are typically lower than the observations, especially over North Africa.
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U2 - 10.1029/2019JD032097
DO - 10.1029/2019JD032097
M3 - Article
AN - SCOPUS:85098269888
SN - 2169-897X
VL - 125
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 24
M1 - e2019JD032097
ER -