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Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model

文献类型：期刊论文

作者Wu, Genan1,2,3,4; Hu, Zhongmin5; Keenan, Trevor F.3,4; Li, Shenggong1,2; Zhao, Wei1,5; Cao, Ruo Chen5; Li, Yuzhe1; Guo, Qun1,2; Sun, Xiaomin1,2
刊名JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
出版日期2020-11-01
卷号125期号:11页码:21
关键词evapotranspiration models ecosystem models parameter optimization FLUXNET
ISSN号2169-8953
DOI10.1029/2019JG005504
通讯作者Hu, Zhongmin(huzm@m.scnu.edu.cn) ; Li, Shenggong(lisg@igsnrr.ac.cn)
英文摘要Ecosystem models are important tools for exploring the temporal and spatial patterns of ecosystem processes and their responses to climate change. However, the implications of uncertainty in model parameters are often overlooked, especially in regional ecosystem model simulations. Here, we use eddy-covariance observations to estimate parameters in an ecosystem model, which was developed from Shuttleworth-Wallace model, and examine the effect on estimates of evapotranspiration (ET). Using a simple ecosystem model as an example, we use Monte Carlo techniques to optimize key model parameters using eddy covariance (EC) data from 163 FLUXNET sites. The optimization process revealed a strong spatial correlation between key parameters and environmental variables, particularly leaf area index (LAI) and soil characteristics (e.g., clay fraction). The optimization of parameters related to canopy conductance and soil surface resistance greatly improved model performance, particularly when incorporating the identified spatial variation of parameters. The improved model agreed well with the measurements with an increase in the coefficient of determination (R-2) from 73% to 80% in the 8-day averaged ET estimation and a decrease in the root mean square error (RMSE) from 130.2 to 104.3 mm year(-1) compared with the original model. The results suggest the potential of eddy-covariance flux observations to identify predictable spatial variations of key parameters, which can be used to better constrain ecosystem models. And in this case, a universal and efficient method for reducing the uncertainties in key parameters across different PFTs and ecosystem applications is suggested.
WOS关键词NET ECOSYSTEM EXCHANGE ; CARBON-DIOXIDE EXCHANGE ; FLOWING WATER EROSION ; CO2 EXCHANGE ; STOMATAL CONDUCTANCE ; SOIL RESPIRATION ; SPRUCE FORESTS ; ENERGY-BALANCE ; INTERANNUAL VARIABILITY ; UNCERTAINTY ANALYSIS
资助项目National Key R&D Program of China[2016YFC0501603] ; National Natural Science Foundation of China[31570437] ; National Natural Science Foundation of China[31961143022] ; Startup Foundation for Talented Scholars in South China Normal University ; Chinese Academy of Sciences[XDA2003020202] ; Office of Science, Office of Biological and Environmental Research of the U.S. Department of Energy[DE-AC02-05CH11231] ; National Aeronautics and Space Administration, California Institute of Technology ; NASA program: SUSMAP ; NASA program: ECOSTRESS ; NASA[NNH17AE86I]
WOS研究方向Environmental Sciences & Ecology ; Geology
语种英语
WOS记录号WOS:000595862300011
出版者AMER GEOPHYSICAL UNION
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Startup Foundation for Talented Scholars in South China Normal University ; Chinese Academy of Sciences ; Office of Science, Office of Biological and Environmental Research of the U.S. Department of Energy ; National Aeronautics and Space Administration, California Institute of Technology ; NASA program: SUSMAP ; NASA program: ECOSTRESS ; NASA
源URL[http://ir.igsnrr.ac.cn/handle/311030/136999]  
专题中国科学院地理科学与资源研究所
通讯作者Hu, Zhongmin; Li, Shenggong
作者单位1.Chinese Acad Sci, Synth Res Ctr Chinese Ecosystem Res Network, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Lawrence Berkeley Natl Lab, Berkeley, CA USA
4.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA
5.South China Normal Univ, Sch Geog, Guangzhou, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Genan,Hu, Zhongmin,Keenan, Trevor F.,et al. Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model[J]. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,2020,125(11):21.
APA Wu, Genan.,Hu, Zhongmin.,Keenan, Trevor F..,Li, Shenggong.,Zhao, Wei.,...&Sun, Xiaomin.(2020).Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,125(11),21.
MLA Wu, Genan,et al."Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 125.11(2020):21.

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来源：地理科学与资源研究所

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