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SENSIBLE HEAT FLUX MODELLING OF URBAN AREAS USING RADIOMETRIC SURFACE TEMPERATURE

机译:基于辐射表面温度的城市热通量模拟

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摘要

Variations of solar elevation and sensor view angle that together influence the apparent anisotropy of the upwelling longwave flux over rough surfaces have been suggested as possible causes in temporally varying z_(oh) or derived kB~(-1) values for these surfaces (e.g. Sugita and Brutsaert 1996, Voogt and Grimmond 2000), although not all rough surface types have been observed to yield these effects (Jacobs and Brutsaert 1998). The model of Brutsaert and Sugita (1996) [BS96] accounts for these factors through a specification of an exponential canopy temperature profile and model coefficients that indicate the degree of sparseness of the canopy. These assumptions and parameters are optimized for vegetated canopies and have been shown to be consistent with measurements (Quails and Yates 2001). The application of BS96 in urban environments, however, is more problematic. Here we use a model that estimates urban thermal anisotropy (S3mod; Soux et al. 2000) to generate radiometric surface temperatures for a range of sensor view orientations to further examine the influence of sensor position, solar elevation, and surface temperature structure on derived values of z_(oh) and kB~(-1) over a simple urban surface largely devoid of vegetation.
机译:已经提出太阳高度和传感器视角的变化共同影响在粗糙表面上上升的长波通量的表观各向异性,这可能是这些表面随时间变化的z_(oh)或导出的kB〜(-1)值的可能原因(例如,杉田)和Brutsaert,1996; Voogt和Grimmond,2000),尽管并非所有粗糙的表面类型都能产生这些效果(Jacobs和Brutsaert,1998)。 Brutsaert和Sugita(1996)的模型[BS96]通过对指数冠层温度分布的规范以及指示冠层稀疏程度的模型系数来说明这些因素。这些假设和参数针对植被冠层进行了优化,并已显示与测量值一致(Quails和Yates 2001)。但是,BS96在城市环境中的应用存在更多问题。在这里,我们使用一个模型来估计城市热各向异性(S3mod; Soux等,2000),以生成一系列传感器视角方向的辐射表面温度,以进一步检查传感器位置,太阳高度和表面温度结构对推导值的影响在一个基本没有植被的简单城市表面上的z_(oh)和kB〜(-1)的分布。

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