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

IMR OpenIR

	An Improved, Downscaled, Fine Model for Simulation of Daily Weather States
其他题名	An Improved, Downscaled, Fine Model for Simulation of Daily Weather States
	Jiang Zhihong 1; Ding Yuguo 1; Zheng Chunyu 1; Chen Weilin 1
	2011
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
ISSN	0256-1530
卷号	28 期号:6 页码:1357-1366
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.
其他摘要	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.
关键词	DAILY PRECIPITATION TEMPERATURE RAINFALL stochastic simulation daily weather state series Markov chain state vector
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China] ; [Natural Science Key Research of Jiangsu Province High Education] ; [Jiangsu Higher Education Institutions] ; [National Key Technologies Research and Development Program] ; [CMA Meteorological Special Science Foundation]
CSCD记录号	CSCD:4325079
引用统计	被引频次：1[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/157994
专题	中国科学院金属研究所
作者单位	1.南京大学 2.中国科学院金属研究所
推荐引用方式 GB/T 7714	Jiang Zhihong,Ding Yuguo,Zheng Chunyu,et al. An Improved, Downscaled, Fine Model for Simulation of Daily Weather States[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2011,28(6):1357-1366.
APA	Jiang Zhihong,Ding Yuguo,Zheng Chunyu,&Chen Weilin.(2011).An Improved, Downscaled, Fine Model for Simulation of Daily Weather States.ADVANCES IN ATMOSPHERIC SCIENCES,28(6),1357-1366.
MLA	Jiang Zhihong,et al."An Improved, Downscaled, Fine Model for Simulation of Daily Weather States".ADVANCES IN ATMOSPHERIC SCIENCES 28.6(2011):1357-1366.