Étude des températures simulées avec Méso-NH : sensibilité à l’artificialisation des sols à Grenoble et Lyon.

International audience; La modélisation atmosphérique à très fine échelle permet d’analyser la dynamique de l’îlot dechaleur urbain en contexte de topographie complexe. Deux simulations (Urbaine et Non-Urbaine) mettenten évidence les effets associés à l'urbanisation. La taille des agglomérations, dans le cas de Lyon etGrenoble, n'influence pas la différence de température entre les deux simulations. Les conditions destabilité influencent fortement ces différences. L'ICU peut être intensifié par l'affaiblissement du vent oul’effet de piégeage et/ou le développement d’une couche d’inversion.

Corrigendum to ‘Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling’ [Urban Climate 28 (2019) 100459]

Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling

Abstract The WUDAPT (World Urban Database and Access Portal Tools project goal is to capture consistent information on urban form and function for cities worldwide that can support urban weather, climate, hydrology and air quality modeling. These data are provided as urban canopy parameters (UCPs) as used by weather, climate and air quality models to simulate the effects of urban surfaces on the overlying atmosphere. Information is stored with different levels of detail (LOD). With higher LOD greater spatial precision is provided. At the lowest LOD, Local Climate Zones (LCZ) with nominal UCP ranges is provided (order 100 m or more). To describe the spatial heterogeneity present in cities wi…

A statistical-dynamical downscaling for the urban heat island and building energy consumption - Analysis of Its uncertainties.

AbstractHigh-resolution maps of the urban heat island (UHI) and building energy consumption are relevant for urban planning in the context of climate change mitigation and adaptation. A statistical–dynamical downscaling for these parameters is proposed in the present study. It combines a statistical local weather type approach with dynamical simulations using the mesoscale atmospheric model Meso-NH coupled to the urban canopy model Town Energy Balance. The downscaling is subject to uncertainties related to the weather type approach (statistical uncertainty) and to the numerical models (dynamical uncertainty). These uncertainties are quantified for two French cities (Toulouse and Dijon) for …