Air quality and climate change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III) – Part 2: aerosol radiative effects and aerosol feedbacks
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Published:2020-01-30
Issue:2
Volume:20
Page:1147-1161
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Gao MengORCID, Han Zhiwei, Tao ZhiningORCID, Li Jiawei, Kang Jeong-EonORCID, Huang Kan, Dong XinyiORCID, Zhuang BingliangORCID, Li Shu, Ge BaozhuORCID, Wu QizhongORCID, Lee Hyo-Jung, Kim Cheol-HeeORCID, Fu Joshua S.ORCID, Wang Tijian, Chin Mian, Li Meng, Woo Jung-Hun, Zhang Qiang, Cheng YafangORCID, Wang Zifa, Carmichael Gregory R.
Abstract
Abstract. Topic 3 of the Model Inter-Comparison Study for Asia (MICS-Asia) Phase III
examines how online coupled air quality models perform in simulating
wintertime haze events in the North China Plain region and evaluates the
importance of aerosol radiative feedbacks. This paper discusses the
estimates of aerosol radiative forcing, aerosol feedbacks, and possible
causes for the differences among the participating models. Over the
Beijing–Tianjin–Hebei (BTH) region, the ensemble mean of estimated aerosol
direct radiative forcing (ADRF) at the top of atmosphere, inside the
atmosphere, and at the surface are −1.1, 7.7, and −8.8 W m−2 during
January 2010, respectively. Subdivisions of direct and indirect aerosol
radiative forcing confirm the dominant role of direct forcing. During severe
haze days (17–19 January 2010), the averaged reduction in near-surface
temperature for the BTH region can reach 0.3–1.6 ∘C. The
responses of wind speeds at 10 m (WS10) inferred from different models show
consistent declines in eastern China. For the BTH region, aerosol–radiation
feedback-induced daytime changes in PM2.5 concentrations during
severe haze days range from 6.0 to 12.9 µg m−3 (<6 %).
Sensitivity simulations indicate the important effect of aerosol mixing
states on the estimates of ADRF and aerosol feedbacks. Besides, black carbon (BC) exhibits
a large contribution to atmospheric heating and feedbacks although it accounts
for a small share of mass concentration of PM2.5.
Funder
National Natural Science Foundation of China Natural Science Foundation of Guangdong Province
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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