globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-1927-2020
论文题名:
Global assessment of how averaging over spatial heterogeneity in precipitation and potential evapotranspiration affects modeled evapotranspiration rates
作者: Rouholahnejad Freund E.; Fan Y.; W. Kirchner J.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:4
起始页码: 1927
结束页码: 1938
语种: 英语
Scopus关键词: Sensitivity analysis ; Evapotranspiration models ; Global distribution ; Heterogeneous landscapes ; Land surface properties ; Mountainous terrain ; Potential evapotranspiration ; Sensitivity to variations ; Spatial heterogeneity ; Evapotranspiration ; global change ; global perspective ; heterogeneity ; land surface ; potential evapotranspiration ; precipitation (climatology) ; water flux
英文摘要: pAccurately estimating large-scale evapotranspiration (ET) rates is essential to understanding and predicting global change. Evapotranspiration models that are applied at a continental scale typically operate on relatively large spatial grids, with the result that the heterogeneity in land surface properties and processes at smaller spatial scales cannot be explicitly represented. Averaging over this spatial heterogeneity may lead to biased estimates of energy and water fluxes. Here we estimate how averaging over spatial heterogeneity in precipitation (span classCombining double low line"inline-formula"iP/i/span) and potential evapotranspiration (PET) may affect grid-cell-averaged evapotranspiration rates, as seen from the atmosphere over heterogeneous landscapes across the globe. Our goal is to identify where, under what conditions, and at what scales this "heterogeneity bias" could be most important but not to quantify its absolute magnitude. We use Budyko curves as simple functions that relate ET to precipitation and potential evapotranspiration. Because the relationships driving ET are nonlinear, averaging over subgrid heterogeneity in span classCombining double low line"inline-formula"iP/i/span and PET will lead to biased estimates of average ET. We examine the global distribution of this bias, its scale dependence, and its sensitivity to variations in span classCombining double low line"inline-formula"iP/i/span vs. PET. Our analysis shows that this heterogeneity bias is more pronounced in mountainous terrain, in landscapes where spatial variations in span classCombining double low line"inline-formula"iP/i/span and PET are inversely correlated, and in regions with temperate climates and dry summers. We also show that this heterogeneity bias increases on average, and expands over larger areas, as the grid cell size increases./p. © 2020 Royal Society of Chemistry. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162727
Appears in Collections:气候变化与战略

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作者单位: Rouholahnejad Freund, E., Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium, Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland; Fan, Y., Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, NJ 08854, United States; W. Kirchner, J., Department of Environmental Systems Science, ETH Zurich, Zurich, 8092, Switzerland, Swiss Federal Research Institute WSL, Birmensdorf, 8903, Switzerland, Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, United States

Recommended Citation:
Rouholahnejad Freund E.,Fan Y.,W. Kirchner J.. Global assessment of how averaging over spatial heterogeneity in precipitation and potential evapotranspiration affects modeled evapotranspiration rates[J]. Hydrology and Earth System Sciences,2020-01-01,24(4)
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