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Coupling Mesoscale Modelling with a Simple Urban Model: The Lisbon Case Study

机译:中尺度模型与简单城市模型的耦合:里斯本案例研究

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The ongoing trend of urbanisation worldwide is leading to a growing requirement for detailed flow and transport parameterisations to be included within numerical weather prediction (NWP) models. Such models often employ a simple roughness parameterisation for urban areas, which is not particularly accurate in predicting or assessing the flow and dispersion at street scale. Moreover, this kind of parameterisation offers too poor a representation of the mechanical and thermal forcing exerted by urban areas on the larger scale flow. At present, high computational costs and long simulation running times are among the constraints for the implementation of more detailed urban sub-models within NWP models. To overcome such limitations, a downscaling procedure from the atmospheric flow at the synoptic scale to the neighbourhood scale and below, is presented in this study. This is achieved by means of a simple urban model based on a parameterised formulation of the drag exerted by the building on the airflow. Application of the urban model for estimating spatially-averaged mean wind speed and the urban heat island over a selected neighbourhood area in Lisbon, Portugal, is presented. The results show the capability of the urban model to provide more accurate mean wind and temperature profiles. Moreover, the urban model has the advantage of being cost effective, as it requires small computational resources, and thus is suitable to be adopted in an operational context. The model is simple enough to be also used to assess how the resolving of urban surface processes may affect those at the larger scales.
机译:全球范围内城市化进程的不断发展,导致对详细的流量和交通参数化要求越来越高,要求将其纳入数值天气预报(NWP)模型中。这样的模型通常对城市地区采用简单的粗糙度参数化,在预测或评估街道规模的流量和分散性方面并不是特别准确。而且,这种参数化对城市区域在较大流量上施加的机械和热强迫的表示太差了。当前,高计算成本和长仿真运行时间是在NWP模型中实施更详细的城市子模型的限制因素。为了克服这些限制,本研究提出了从天气尺度到近邻尺度及以下尺度的大气降尺度的程序。这是通过一个简单的城市模型来实现的,该模型基于建筑物对气流施加的阻力的参数化公式化。提出了城市模型用于估计葡萄牙里斯本选定邻域的空间平均风速和城市热岛的应用。结果表明,城市模型能够提供更准确的平均风和温度曲线。此外,城市模型的优点是成本效益高,因为它需要较少的计算资源,因此适合在操作环境中采用。该模型非常简单,足以用于评估城市表面过程的分解可能对更大范围的过程产生影响。

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