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拓展傅里叶幅度敏感性检验(EFAST)在陆面过程模式中参数敏感性分析的应用探索
Application of extended Fourier amplitude sensitivity test (EFAST) method in land surface parameter sensitivity analysis?
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摘要: 本文旨在探讨拓展傅里叶幅度敏感性检验(EFAST)在陆面参数敏感性分析中的应用.基于2008年吉林通榆观测值站的退化草地观测资料,针对通用陆面过程模式(CoLM)的关键陆面参数,使用地表感热通量、潜热通量作为检验变量,尝试将EFAST方法运用到陆面过程模式参数敏感性试验中.在充分考虑单个参数敏感性的基础上,将参数间的耦合作用考虑进来,研究了相互影响制约下的多参数变化对非线性系统的影响,并且对这种非线性影响进行了定量分析.敏感性分析结果表明:土壤砂土比例、最小水分透过孔隙度为影响地表感热通量与潜热通量的关键参数,验证了EFAST方法在陆面过程模式参数敏感性分析方面的可行性.本项研究对于外场观测试验的设计和发展陆面模式物理过程参数化方案具有积极的指导意义.Abstract: In this paper, we explore the application of extended Fourier amplitude sensitivity test (EFAST) to land surface parameter sensi-tivity analysis. Based on observations of Tongyu site (Jilin province) at a degraded grassland in 2008, the EFAST method is verified and applied. The sensible heat flux and latent heat flux are used as the test variables. With the full consideration of the sensitivity of individual parameters, the coupling between the parameters is taken into account. We explore the influence on the nonlinear system under the constraints of the interaction of multiple land surface parameters with a quantitative analysis. The results show that sand content in the soil (sand) and minimal porosity of permeable water are the key factors which affect the heat sensible flux and latent heat flux significantly, which is consistent with the existing result. The sensitivity result confirms the feasibility of the EFAST method. The results of this paper are expected to guide people in designing the field observation and development of parameterization schemes in land surface model.
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