干旱区生态环境知识资源中心(Arid): A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method

Arid

	A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method
	Sun Guodong; Xie Dongdong
来源期刊	Science China. Earth Sciences
ISSN	1674-7313
出版年	2017
卷号	60 期号:9 页码:1674-1684
英文摘要	In this paper, we apply the approach of conditional nonlinear optimal perturbation related to the parameter (CNOP-P) to study parameter uncertainties that lead to the stability (maintenance or degradation) of a grassland ecosystem. The maintenance of the grassland ecosystem refers to the unchanged or increased quantity of living biomass and wilted biomass in the ecosystem, and the degradation of the grassland ecosystem refers to the reduction in the quantity of living biomass and wilted biomass or its transformation into a desert ecosystem. Based on a theoretical five-variable grassland ecosystem model, 32 physical model parameters are selected for numerical experiments. Two types of parameter uncertainties could be obtained. The first type of parameter uncertainty is the linear combination of each parameter uncertainty that is computed using the CNOP-P method. The second type is the parameter uncertainty from multi-parameter optimization using the CNOP-P method. The results show that for the 32 model parameters, at a given optimization time and with greater parameter uncertainty, the patterns of the two types of parameter uncertainties are different. The different patterns represent physical processes of soil wetness. This implies that the variations in soil wetness (surface layer and root zone) are the primary reasons for uncertainty in the maintenance or degradation of grassland ecosystems, especially for the soil moisture of the surface layer. The above results show that the CNOP-P method is a useful tool for discussing the abovementioned problems.
英文关键词	Parameter optimization Grassland ecosystem Simulation Conditional nonlinear optimal perturbation
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:6092971
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335861
作者单位	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.; Xie Dongdong, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics;;Key Laboratory of Semi-Arid Climate Change of the Ministry of Education, Beijing 100029, China.
推荐引用方式 GB/T 7714	Sun Guodong,Xie Dongdong. A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method[J],2017,60(9):1674-1684.
APA	Sun Guodong,&Xie Dongdong.(2017).A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method.Science China. Earth Sciences,60(9),1674-1684.
MLA	Sun Guodong,et al."A study of parameter uncertainties causing uncertainties in modeling a grassland ecosystem using the conditional nonlinear optimal perturbation method".Science China. Earth Sciences 60.9(2017):1674-1684.