Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/58200
Title: Coupling mesoscale modelling with a simple urban model : the Lisbon case study
Authors: Solazzo, Efisio
Sabatino, Silvana Di
Aquilina, Noel
Dudek, Agnès V.
Britter, Rex
Keywords: Spatial behavior -- Portugal -- Lisbon
Urban climatology -- Portugal -- Lisbon
Urban heat island -- Portugal -- Lisbon
Weather forecasting -- Portugal -- Lisbon -- Case studies
Issue Date: 2010
Publisher: Springer Netherlands
Citation: Solazzo, E., Di Sabatino, S., Aquilina, N., Dudek, A., & Britter, R. (2010). Coupling mesoscale modelling with a simple urban model : the Lisbon case study. Boundary-Layer Meteorology, 137, 441-457.
Abstract: The ongoing trend of urbanisationworldwide 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/58200
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