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Determinants of the ratio of actual to potential evapotranspiration.
Peng, Liqing; Zeng, Zhenzhong; Wei, Zhongwang; Chen, Anping; Wood, Eric F; Sheffield, Justin.
Afiliación
  • Peng L; Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey.
  • Zeng Z; Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey.
  • Wei Z; River and Environmental Engineering Laboratory, Department of Civil Engineering, University of Tokyo, Tokyo, Japan.
  • Chen A; Department of Biology, Colorado State University, Fort Collins, Colorado.
  • Wood EF; Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey.
  • Sheffield J; School of Geography and Environmental Science, University of Southampton, Southampton, United Kingdom.
Glob Chang Biol ; 25(4): 1326-1343, 2019 Apr.
Article en En | MEDLINE | ID: mdl-30681229
ABSTRACT
A widely used approach for estimating actual evapotranspiration (AET) in hydrological and earth system models is to constrain potential evapotranspiration (PET) with a single empirical stress factor (Ω = AET/PET). Ω represents the water availability and is fundamentally linked to canopy-atmosphere coupling. However, the mean and seasonal variability of Ω in the models have rarely been evaluated against observations, and the model performances for different climates and biomes remain unclear. In this study, we first derived the observed Ω from 28 FLUXNET sites over North America during 2000-2007, which was then used to evaluate Ω in six large-scale model-based datasets. Our results confirm the importance of incorporating canopy height in the formulation of aerodynamic conductance in the case of forests. Furthermore, leaf area index (LAI) is central to the prediction of Ω and can be quantitatively linked to the partitioning between transpiration and soil evaporation (R2  = 0.43). The substantial differences between observed and model-based Ω in forests (range 0.2~0.9) are highly related to the way these models estimated PET and the way they represented the responses of Ω to the environmental drivers, especially wind speed and LAI. This is the first assessment of Ω in models based on in situ observations. Our findings demonstrate that the observed Ω is useful for evaluating, validating, and optimizing the modeling of AET and thus of water and energy balances.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Glob Chang Biol Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Glob Chang Biol Año: 2019 Tipo del documento: Article