节点文献
An Improved,Downscaled,Fine Model for Simulation of Daily Weather States
【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.
【Key words】 stochastic simulation; daily weather state series; Markov chain; state vector.;
- 【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