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Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa

机译:在南非一个异质研究区中,使用预包装的SEBS模型获得蒸散量时遇到的特殊不确定性

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The focus of this paper is on the pre-packaged version of SEBS in ILWIS and the sensitivity of SEBS to some parameters over which the user has some control when using this version of the model, in order to make informed choices to limit uncertainties. The sensitivities of SEBS to input parameters are related to daily ET rather than energy flux results since this is of interest to water managers and other users of the results of the SEBS model. This paper describes some of the uncertainties introduced by the sensitivity of the SEBS model to (a) land surface temperature and air temperature gradient, (b) the choice of fractional vegetation formula, (c) displacement height and the height at which wind speed is measured, and (d) study area heterogeneity. It was shown that SEBS is sensitive to land surface temperature and air temperature gradient and the magnitude of this sensitivity depended on the land cover and whether or not the wet-limit had been reached. The choice of fractional vegetation cover formula was shown to influence the daily ET results by up to 0.7 mm. It was shown that the height of the vegetation canopy should be considered in relation to the weather station reference height to avoid the sensible heat flux from becoming unsolvable due to a negative ln calculation. Finally the study area was shown to be heterogeneous although the resolution at which fluxes were calculated did not significantly impact on energy partitioning results. The differences in the upscaling from evaporative fraction to daily ET at varying resolutions observed implies that the heterogeneity may play the biggest role in the upscaling and the influence of albedo on this calculation should be studied.
机译:本文的重点是ILWIS中SEBS的预包装版本,以及SEBS对某些参数的敏感性,使用此版本的模型时,用户可以控制一些参数,以便做出明智的选择以限制不确定性。 SEBS对输入参数的敏感性与每日ET有关,而不与能量通量结果有关,因为水管理人员和SEBS模型结果的其他用户对此很感兴趣。本文描述了SEBS模型对(a)地表温度和空气温度梯度,(b)分数植被公式的选择,(c)位移高度和风速为(d)研究区域异质性。结果表明,SEBS对地表温度和气温梯度敏感,其敏感程度取决于土地覆盖和是否达到湿润极限。分数植被覆盖率公式的选择对每日ET结果的影响最大为0.7 mm。结果表明,应考虑植被冠层相对于气象站参考高度的高度,以避免因ln计算负而导致感热通量变得不可解决。最终,尽管计算通量的分辨率对能量分配结果没有显着影响,但研究区域仍显示出异质性。从蒸发分数到每日ET的放大比例在不同分辨率下的放大差异表明,异质性可能在放大比例中发挥最大作用,应研究反照率对该计算的影响。

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