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首页> 外文期刊>Hydrology and Earth System Sciences Discussions >A Budyko framework for estimating how spatial heterogeneity and lateral moisture redistribution affect average evapotranspiration rates as seen from the atmosphere
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A Budyko framework for estimating how spatial heterogeneity and lateral moisture redistribution affect average evapotranspiration rates as seen from the atmosphere

机译:估计空间异质性和横向水分再分配如何影响从大气中所见的平均蒸散率的Budyko框架

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Most Earth system models are based on grid-averaged soil columns that do not communicate with one another, and that average over considerable sub-grid heterogeneity in land surface properties, precipitation?(P), and potential evapotranspiration?(PET). These models also typically ignore topographically driven lateral redistribution of water (either as groundwater or surface flows), both within and between model grid cells. Here, we present a first attempt to quantify the effects of spatial heterogeneity and lateral redistribution on grid-cell-averaged evapotranspiration?(ET) as seen from the atmosphere over heterogeneous landscapes. Our approach uses Budyko curves, as a simple model of ET as a function of atmospheric forcing by P and PET. From these Budyko curves, we derive a simple sub-grid closure relation that quantifies how spatial heterogeneity affects average ET as seen from the atmosphere. We show that averaging over sub-grid heterogeneity in P and PET, as typical Earth system models do, leads to overestimations of average ET. For a sample high-relief grid cell in the Himalayas, this overestimation bias is shown to be roughly 12?%; for adjacent lower-relief grid cells, it is substantially smaller. We use a similar approach to derive sub-grid closure relations that quantify how lateral redistribution of water could alter average ET as seen from the atmosphere. We derive expressions for the maximum possible effect of lateral redistribution on average ET, and the amount of lateral redistribution required to achieve this effect, using only estimates of P and PET in possible source and recipient locations as inputs. We show that where the aridity index P/PET increases with altitude, gravitationally driven lateral redistribution will increase average ET (and models that overlook lateral redistribution will underestimate average ET). Conversely, where the aridity index P/PET decreases with altitude, gravitationally driven lateral redistribution will decrease average ET. The effects of both sub-grid heterogeneity and lateral redistribution will be most pronounced where P is inversely correlated with PET across the landscape. Our analysis provides first-order estimates of the magnitudes of these sub-grid effects, as a guide for more detailed modeling and analysis.
机译:大多数地球系统模型基于栅格平均的土壤柱,其不彼此通信,并且在陆地表面性质中的相当大的亚网外异质性,沉淀?(P)和潜在的蒸散液(PET)。这些模型通常还忽略了模型网格电池内和之间的地形驱动的水(作为地下水或地面流量)的横向再分布。在这里,我们首先尝试量化空间异质性和横向再分布对网格细胞平均的蒸散散热物的影响,如从异构景观的大气中看到的那样。我们的方法使用Budyko曲线,作为ET的简单模型,作为P和PET的大气强制迫使。从这些Budyko曲线来源,我们得出了一个简单的子网格闭合关系,这些关系量化了空间异质性如何影响平均水平的ET,如大气所示。我们表明,随着典型地球系统模型,P和PET中的子网格异质性平均,导致平均ET的高估。对于喜马拉雅山的样本高浮雕网格单元,这种高估偏差显示为大约12?%;对于相邻的低释放栅格电池,它基本上更小。我们使用类似的方法来导出子网格闭合关系,这些关系量化水的重新分配是如何改变平均水平的,如大气所示。我们推出了表达式,以实现横向再分布的最大效果ET,以及在可能的源和接收方位置的P和PET的估计中仅使用P和PET所需的横向再分配量。我们表明,在充满活力的Alify指数P / PET随海拔地增加的情况下,重力驱动的横向再分配将增加平均等(以及忽略横向再分配的模型将低估平均et)。相反,当干旱指数P / PET用高度降低时,重力驱动的横向再分配将减少平均等。子网格异质性和横向再分配的影响将是最明显的,其中P与景观中的宠物相反。我们的分析提供了这些子网格效应的大小的一阶估计,作为更详细的建模和分析的指导。

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