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An Improved,Downscaled,Fine Model for Simulation of Daily Weather States

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【作者】 江志红丁裕国郑春雨陈威霖

【Author】 JIANG Zhihong 1,DING Yuguo 1,ZHENG Chunyu 1,2,and CHEN Weilin 1 1 Key Laboratory of Meteorological Disaster of Ministry of Education,Nanjing University of Information Science & Technology,Nanjing 210044 2 Environment Assessment,Northeast Electric Power Design Institute,Shenyang 110000

【机构】 Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & TechnologyEnvironment Assessment,Northeast Electric Power Design Institute

【摘要】 In this study,changes in daily weather states were treated as a complex Markov chain process,based on a continuous-time watershed model(soil water assessment tool,SWAT) developed by the Agricultural Research Service at the U.S.Department of Agriculture(USDA-ARS).A finer classification using total cloud amount for dry states was adopted,and dry days were classified into three states:clear,cloudy,and overcast(rain free).Multistate transition models for dry-and wet-day series were constructed to comprehensively downscale the simulation of regional daily climatic states.The results show that the finer,improved,downscaled model overcame the oversimplified treatment of a two-weather state model and is free of the shortcomings of a multistate model that neglects finer classification of dry days(i.e.,finer classification was applied only to wet days).As a result,overall simulation of weather states based on the SWAT greatly improved,and the improvement in simulating daily temperature and radiation was especially significant.

【Abstract】 In this study,changes in daily weather states were treated as a complex Markov chain process,based on a continuous-time watershed model(soil water assessment tool,SWAT) developed by the Agricultural Research Service at the U.S.Department of Agriculture(USDA-ARS).A finer classification using total cloud amount for dry states was adopted,and dry days were classified into three states:clear,cloudy,and overcast(rain free).Multistate transition models for dry-and wet-day series were constructed to comprehensively downscale the simulation of regional daily climatic states.The results show that the finer,improved,downscaled model overcame the oversimplified treatment of a two-weather state model and is free of the shortcomings of a multistate model that neglects finer classification of dry days(i.e.,finer classification was applied only to wet days).As a result,overall simulation of weather states based on the SWAT greatly improved,and the improvement in simulating daily temperature and radiation was especially significant.

【基金】 supported jointly by the National Natural Science Foundation of China (Grant No. 40875058);the Natural Science Key Research of Jiangsu Province High Education (Grant No.07KJA17020);the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD);the National Key Technologies Research and Development Program (Grant No. 2008BAK50B02-04-01);the CMA Meteorological Special Science Foundation (Grant No. GYHY200706030)
  • 【文献出处】 Advances in Atmospheric Sciences ,大气科学进展(英文版) , 编辑部邮箱 ,2011年06期
  • 【分类号】S152.7;S161
  • 【被引频次】1
  • 【下载频次】109
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