DOI: 10.1002/2016MS000702
Scopus记录号: 2-s2.0-85018475419
论文题名: Using precipitation, vertical root distribution, and satellite-retrieved vegetation information to parameterize water stress in a Penman-Monteith approach to evapotranspiration modeling under Mediterranean climate
作者: Bai Y ; , Zhang J ; , Zhang S ; , Koju U ; A ; , Yao F ; , Igbawua T
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 1 起始页码: 168
结束页码: 192
语种: 英语
英文关键词: Climatology
; Evapotranspiration
; Soil moisture
; Soils
; Vegetation
; Mediterranean climates
; Penman-Monteith equations
; Vertical root distributions
; Water balance
; Water stress
; Climate models
; evapotranspiration
; Mediterranean environment
; NDVI
; parameterization
; Penman-Monteith equation
; precipitation (climatology)
; satellite altimetry
; shrub
; vegetation dynamics
; vertical distribution
; water budget
; water stress
英文摘要: Recent studies have shown that global Penman-Monteith equation based (PM-based) models poorly simulate water stress when estimating evapotranspiration (ET) in areas having a Mediterranean climate (AMC). In this study, we propose a novel approach using precipitation, vertical root distribution (VRD), and satellite-retrieved vegetation information to simulate water stress in a PM-based model (RS-WBPM) to address this issue. A multilayer water balance module is employed to simulate the soil water stress factor (SWSF) of multiple soil layers at different depths. The water stress factor (WSF) for surface evapotranspiration is determined by VRD information and SWSF in each layer. Additionally, four older PM-based models (PMOV) are evaluated at 27 flux sites in AMC. Results show that PMOV fails to estimate the magnitude or capture the variation of ET in summer at most sites, whereas RS-WBPM is successful. The daily ET resulting from RS-WBPM incorporating recommended VI (NDVI for shrub and EVI for other biomes) agrees well with observations, with R2=0.60 (RMSE=18.72 W m-2) for all 27 sites and R2=0.62 (RMSE=18.21 W m-2) for 25 nonagricultural sites. However, combined results from the optimum older PM-based models at specific sites show R2 values of only 0.50 (RMSE=20.74 W m-2) for all 27 sites. RS-WBPM is also found to outperform other ET models that also incorporate a soil water balance module. As all inputs of RS-WBPM are globally available, the results from RS-WBPM are encouraging and imply the potential of its implementation on a regional and global scale. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75831
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; University of Agriculture, Makurdi, Nigeria
Recommended Citation:
Bai Y,, Zhang J,, Zhang S,et al. Using precipitation, vertical root distribution, and satellite-retrieved vegetation information to parameterize water stress in a Penman-Monteith approach to evapotranspiration modeling under Mediterranean climate[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(1)