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首页> 外文期刊>Journal of Advances in Modeling Earth Systems >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
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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

机译:利用降水,垂直根系分布和卫星植被信息,对Penman模型中的水分胁迫进行参数化——Monteith方法对地中海气候下的蒸散量进行建模

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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 ( 18.72 ) for all 27 sites and ( 18.21 ) for 25 nonagricultural sites. However, combined results from the optimum older PM?¢????based models at specific sites show ( 20.74 ) 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.
机译:最近的研究表明,在估计具有地中海气候(AMC)的地区的蒸散量(ET)时,全球基于Penman?Monteith方程(基于PM ????)的模型不能很好地模拟水分胁迫。在这项研究中,我们提出了一种新颖的方法,该方法使用降水,垂直根分布(VRD)和卫星植被信息来模拟基于PM模型的水分胁迫。 (WBPM)解决此问题。采用多层水平衡模块模拟不同深度的多个土壤层的土壤水分胁迫因子(SWSF)。表面蒸散的水分胁迫因子(WSF)由VRD信息和每一层中的SWSF决定。此外,在AMC中的27个磁通量位置评估了四个较旧的基于PM的模型(PMOV)。结果表明,PMOV无法在大多数站点夏季估计ET的大小或捕获ET的变化,而RS ??????? WBPM是成功的。 RS?WBMP结合推荐的VI(灌木为NDVI,其他生物群落为EVI)得出的每日ET与观测值非常吻合,所有27个站点的(18.72)和25个非农业站点的(18.21)。但是,在特定站点上基于最佳PM的最佳旧模型的组合结果显示,所有27个站点都为(20.74)。还发现RS→WBWBPM优于其他还装有土壤水平衡模块的ET模型。由于RS?WBPM的所有输入都是全球可用的,因此RS?WBPM的结果令人鼓舞,并暗示了其在区域和全球范围内实施的潜力。

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