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	A New Approach for Parameter Optimization in Land Surface Model
	Li Hongqi; Guo Weidong; Sun Guodong; Zhang Yaocun; Fu Congbin
来源期刊	Advances in Atmospheric Sciences
ISSN	0256-1530
出版年	2011
卷号	28 期号:5 页码:1056-1066
英文摘要	In this study,a new parameter optimization method was used to investigate the expansion of conditional nonlinear optimal perturbation(CNOP)in a land surface model(LSM)using long-term enhanced field observations at Tongyu station in Jilin Province,China,combined with a sophisticated LSM(common land model,CoLM).Tongyu station is a reference site of the international Coordinated Energy and Water Cycle Observations Project(CEOP)that has studied semiarid regions that have undergone desertification,salination,and degradation since late 1960s.In this study,three key land-surface parameters,namely,soil color, proportion of sand or clay in soil,and leaf-area index were chosen as parameters to be optimized.Our study comprised three experiments:First,a single-parameter optimization was performed,while the second and third experiments performed triple-and six-parameter optimizations,respectively.Notable improvements in simulating sensible heat flux(SH),latent heat flux(LH),soil temperature(TS),and moisture(MS)at shallow layers were achieved using the optimized parameters.The multiple-parameter optimization experiments performed better than the single-parameter experminent.All results demonstrate that the CNOP method can be used to optimize expanded parameters in an LSM.Moreover,clear mathematical meaning, simple design structure,and rapid computability give this method great potential for further application to parameter optimization in LSMs.
英文关键词	land surface model parameter optimization conditional nonlinear optimal perturbation (CNOP)
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:4325055
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335112
作者单位	Li Hongqi, Institute for Climate and Global Change Research,School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu 210093, China.; Zhang Yaocun, Institute for Climate and Global Change Research,School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu 210093, China.; Guo Weidong, Institute for Climate and Global Change Research,School of Atmospheric Sciences, Nanjing University, The Key Laboratory of Regional Climate Environment for Temperate East Asia,,Chinese Academy of Sciences, Nanjing, Jiangsu 210093, China.; Sun Guodong, Institute of Atmospheric Physics,Chinese Academy of Sciences, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Beijing 100029, China.; Fu Congbin, Institute for Climate and Global Change Research,School of Atmospheric Sciences, Nanjing University, The Key Laboratory of Regional Climate Environment for Temperate East Asia,Chinese Academy of Sciences, Nanjing, Jiangsu 210093, China.
推荐引用方式 GB/T 7714	Li Hongqi,Guo Weidong,Sun Guodong,et al. A New Approach for Parameter Optimization in Land Surface Model[J],2011,28(5):1056-1066.
APA	Li Hongqi,Guo Weidong,Sun Guodong,Zhang Yaocun,&Fu Congbin.(2011).A New Approach for Parameter Optimization in Land Surface Model.Advances in Atmospheric Sciences,28(5),1056-1066.
MLA	Li Hongqi,et al."A New Approach for Parameter Optimization in Land Surface Model".Advances in Atmospheric Sciences 28.5(2011):1056-1066.