Incorporating Spatial Variations in Parameters for Improvements of an Evapotranspiration Model
文献类型：期刊论文
| 作者 | Wu, Genan1,3,4,5; Hu, Zhongmin2; Keenan, Trevor F.1,3; Li, Shenggong4,5; Zhao, Wei2,4; Cao, Ruo Chen2; Li, Yuzhe4; Guo, Qun4,5; Sun, Xiaomin4,5 |
| 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 |
| DOI | 10.1029/2019JG005504 |
| 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.Lawrence Berkeley Natl Lab, Berkeley, CA USA 2.South China Normal Univ, Sch Geog, Guangzhou, Peoples R China 3.Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA 4.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 5.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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