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High-Resolution Simulation of the Urban Heat Island Effect in Grenoble During the 2018 Heatwave: Evaluating WRF Model Configurations

High-Resolution Simulation of the Urban Heat Island Effect in Grenoble During the 2018 Heatwave: Evaluating WRF Model Configurations

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Authors

Jacobo Gabeiras , Chantal Staquet, Charles Chemel, Alberto Martilli

Abstract

This study investigates the Urban Heat Island (UHI) effect in Grenoble, France, during the August 2018 heatwave, using high-resolution Weather Research and Forecasting (WRF) simulations at 111 meters. The objective is to evaluate at this resolution the capac- ity of different WRF urban parameterizations such as the Building Effect Parameterization (BEP) and Building Energy Model (BEM), to simulate the UHI effect and overall temper- ature distribution. The validation approach integrates data from official weather stations, crowdsourced Citizen Weather Stations (CWS), and empirical and modeling studies of the UHI in Grenoble. Results show that configurations with advanced urban parameterizations significantly enhance the ability to capture the spatial structure of UHI in urban areas while maintaining strong performance in non-urban regions. However, a trade-off was identified: models that accurately capture the spatial distribution of UHI often exhibit larger errors in absolute temperature predictions, particularly at individual stations. Additionally, all config- urations struggled to simulate thermal wind reversals, a key process affecting UHI dynamics in Grenoble’s valley. This work highlights the importance of advanced urban parameteriza- tions in improving UHI modeling in complex urban and topographic settings.

DOI

https://doi.org/10.31223/X53N0W

Subjects

Atmospheric Sciences, Climate, Fluid Dynamics, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Physics

Keywords

Urban Climate, Urban parameterization, Building morphology, Land surface model, WRF model, BEP-BEM, Urban Heat Island, Frontal area index, lidar, Building height, Raster processing, Geospatial modeling, Urban adaptation, Remote Sensing, Climate simulations

Dates

Published: 2025-08-21 22:50

Last Updated: 2025-08-21 22:50

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
All Data Available Upon Request