Evaluation of net shortwave radiation over China with a regional climate model
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作者:
Liu, Xin
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Liu, Xin
[1
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Kang, Yanming
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Kang, Yanming
[1
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Liu, Qiong
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Liu, Qiong
[1
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Guo, Zijia
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Guo, Zijia
[1
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Chen, Yonghang
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Chen, Yonghang
[1
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Huang, Dizhi
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Huang, Dizhi
[1
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Chen, Chunmei
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Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Chen, Chunmei
[1
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Zhang, Hua
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机构:
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R ChinaDonghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
Zhang, Hua
[3
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机构:
[1] Donghua Univ, Coll Environm Sci & Engn, Shanghai 201620, Peoples R China
[2] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[3] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
The regional climate model RegCM version 4.6, developed by the European Centre for Medium-Range Weather Forecasts Reanalysis, was used to simulate the radiation budget over China. Clouds and the Earth's Radiant Energy System (CERES) satellite data were utilized to evaluate the simulation results based on 4 radiative components: net shortwave (NSW) radiation at the surface of the earth and top of the atmosphere (TOA) under all-sky and clear-sky conditions. The performance of the model for low-value areas of NSW was superior to that for high-value areas. NSW at the surface and TOA under all-sky conditions was significantly underestimated; the spatial distribution of the bias was negative in the north and positive in the south, bounded by 25 degrees N for the annual and seasonal averaged difference maps. Compared with the all-sky condition, the simulation effect under clear-sky conditions was significantly better, which indicates that the cloud fraction is the key factor affecting the accuracy of the simulation. In particular, the bias of the TOA NSW under the clear-sky condition was <+/- 10 W m(-2) in the eastern areas. The performance of the model was better over the eastern monsoon region in winter and autumn for surface NSW under clear-sky conditions, which may be related to different levels of air pollution during each season. Among the 3 areas, the regional average biases overall were largest (negative) over the Qinghai-Tibet alpine region and smallest over the eastern monsoon region.