DOI: 10.5194/hess-24-581-2020
论文题名: Model representation of the coupling between evapotranspiration and soil water content at different depths
作者: Qiu J. ; Crow W.T. ; Dong J. ; Nearing G.S.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 2 起始页码: 581
结束页码: 594
语种: 英语
Scopus关键词: Catchments
; Evaporation
; Soil moisture
; Structural optimization
; Surface measurement
; Land surface modeling
; Land surface models
; Model representation
; Normalized mutual information
; Parameter optimization
; Potential evapotranspiration
; Relative contribution
; Retrieval algorithms
; Evapotranspiration
; accuracy assessment
; algorithm
; evapotranspiration
; flux measurement
; hydrological modeling
; land surface
; land-atmosphere interaction
; soil water
; water content
; water depth
; Amsterdam [North Holland]
; Netherlands
; North Holland
英文摘要: Soil water content (θ) influences the climate system by controlling the fraction of incoming solar and longwave energy that is converted into evapotranspiration (ET). Therefore, investigating the coupling strength between θ and ET is important for the study of land surface-atmosphere interactions. Physical models are commonly tasked with representing the coupling between θ and ET; however, few studies have evaluated the accuracy of model-based estimates of θ / ET coupling (especially at multiple soil depths). To address this issue, we use in situ AmeriFlux observations to evaluate θ / ET coupling strength estimates acquired from multiple land surface models (LSMs) and an ET retrieval algorithm - the Global Land Evaporation Amsterdam Model (GLEAM). For maximum robustness, coupling strength is represented using the sampled normalized mutual information (NMI) between θ estimates acquired at various vertical depths and surface evaporation flux expressed as a fraction of potential evapotranspiration (fPET, the ratio of ET to potential ET). Results indicate that LSMs and GLEAM are generally in agreement with AmeriFlux measurements in that surface soil water content (θs) contains slightly more NMI with fPET than vertically integrated soil water content (θv). Overall, LSMs and GLEAM adequately capture variations in NMI between fPET and θ estimates acquired at various vertical depths. However, GLEAM significantly overestimates the NMI between θ and ET, and the relative contribution of θs to total ET. This bias appears attributable to differences in GLEAM's ET estimation scheme relative to the other two LSMs considered here (i.e., the Noah model with multi-parameterization options and the Catchment Land Surface Model, CLSM). These results provide insight into improved LSM model structure and parameter optimization for land surface-atmosphere coupling analyses. © 2020 Copernicus GmbH. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162796
Appears in Collections: 气候变化与战略
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作者单位: Qiu, J., Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China, Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai), Zhuhai, 519000, China; Crow, W.T., USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, United States; Dong, J., USDA ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705, United States; Nearing, G.S., Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, United States
Recommended Citation:
Qiu J.,Crow W.T.,Dong J.,et al. Model representation of the coupling between evapotranspiration and soil water content at different depths[J]. Hydrology and Earth System Sciences,2020-01-01,24(2)