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Article

Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model

1
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
2
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China
3
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100029, China
4
National Institute for Environmental Studies, Tsukuba 305-8506, Japan
5
Research Institute for Applied Mechanics, Kyushu University, Fukuoka 819-0395, Japan
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(10), 1115; https://doi.org/10.3390/atmos11101115
Received: 21 September 2020 / Revised: 11 October 2020 / Accepted: 14 October 2020 / Published: 17 October 2020
(This article belongs to the Special Issue Aerosol-Climate Interaction)
The effective radiative forcing (ERF) of anthropogenic aerosol can be more representative of the eventual climate response than other radiative forcing. We incorporate aerosol–cloud interaction into the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System (CAS-FGOALS-f3-L) by coupling an existing aerosol module named the Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) and quantified the ERF and its primary components (i.e., effective radiative forcing of aerosol-radiation interactions (ERFari) and aerosol-cloud interactions (ERFaci)) based on the protocol of current Coupled Model Intercomparison Project phase 6 (CMIP6). The spatial distribution of the shortwave ERFari and ERFaci in CAS-FGOALS-f3-L are comparable with that of most available CMIP6 models. The global mean 2014–1850 shortwave ERFari in CAS-FGOALS-f3-L (−0.27 W m−2) is close to the multi-model means in 4 available models (−0.29 W m−2), whereas the assessing shortwave ERFaci (−1.04 W m−2) and shortwave ERF (−1.36 W m−2) are slightly stronger than the multi-model means, illustrating that the CAS-FGOALS-f3-L can reproduce the aerosol radiation effect reasonably well. However, significant diversity exists in the ERF, especially in the dominated component ERFaci, implying that the uncertainty is still large. View Full-Text
Keywords: global climate model; anthropogenic aerosols; aerosol-radiation interaction; aerosol-cloud interaction; effective radiative forcing global climate model; anthropogenic aerosols; aerosol-radiation interaction; aerosol-cloud interaction; effective radiative forcing
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MDPI and ACS Style

Wang, H.; Dai, T.; Zhao, M.; Goto, D.; Bao, Q.; Takemura, T.; Nakajima, T.; Shi, G. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model. Atmosphere 2020, 11, 1115. https://doi.org/10.3390/atmos11101115

AMA Style

Wang H, Dai T, Zhao M, Goto D, Bao Q, Takemura T, Nakajima T, Shi G. Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model. Atmosphere. 2020; 11(10):1115. https://doi.org/10.3390/atmos11101115

Chicago/Turabian Style

Wang, Hao, Tie Dai, Min Zhao, Daisuke Goto, Qing Bao, Toshihiko Takemura, Teruyuki Nakajima, and Guangyu Shi. 2020. "Aerosol Effective Radiative Forcing in the Online Aerosol Coupled CAS-FGOALS-f3-L Climate Model" Atmosphere 11, no. 10: 1115. https://doi.org/10.3390/atmos11101115

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