EMS Annual Meeting Abstracts
Vol. 21, EMS2024-418, 2024, updated on 05 Jul 2024
https://doi.org/10.5194/ems2024-418
EMS Annual Meeting 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 03 Sep, 11:45–12:00 (CEST)| Lecture room 203

High-resolution modelling of park cooling efficiency during summer in Paris

Minttu Havu1, Tim Nagel1, Jean Wurtz1, Valéry Masson1, Margaux Rivollet1, Martial Haeffelin2, Jean-Francois Ribaud3, Simone Kotthaus3, Jean-Charles Dupont4, and Aude Lemonsu1
Minttu Havu et al.
  • 1Centre national de recherches météorologiques (CNRM), Université de Toulouse, Météo-France, CNRS, Toulouse, France
  • 2Institut Pierre Simon Laplace (IPSL), CNRS, Palaiseau Cedex, France
  • 3Laboratoire de Météorologie Dynamique (LMD-IPSL), Ecole polytechnique, Institut Polytechnique de Paris, Palaiseau Cedex, France
  • 4Institut Pierre Simon Laplace (IPSL), Université Versailles Saint-Quentin-en-Yvelines, Palaiseau Cedex, France

Heat waves pose a significant risk to human health, particularly pronounced in urban areas due to the urban heat island (UHI) effect. Understanding the varying impacts of heat waves across different neighbourhoods within cities is vital, as well as recognizing the potential of urban vegetation in mitigating temperatures. The Heat and Health in Cities (H2C) project aims to enhance urban climate services to support proactive measures and policies addressing extreme heat risks in cities, with a specific focus on the Paris region. Employing a multi-source observational approach alongside numerical models, the project seeks to provide a more comprehensive assessment of environmental conditions, ranging from regional to neighbourhood scales. 

The main aim of this study is to examine the efficiency of parks and urban forests in mitigating air temperatures during summer periods including heat waves. Using the Meso-NH model, this study conducts simulations of discrete events occurring in 2022 and 2023 within Paris and the Ile-de-France region. Meso-NH, a non-hydrostatic research atmospheric model, is driven by atmospheric boundary conditions from the French convective-scale operational Numerical Weather Prediction model AROME-France. Coupled with Meso-NH is the land surface model SURFace EXternalized (SURFEX), incorporating the Town Energy Balance (TEB) model for urban elements combined with a high-resolution surface database. Simulations are based on three nested domains with respective grid resolutions of 1200 m, 300 m (over Paris region), and 100 m (over the city of Paris). Model validation of 2-m air temperatures is performed using data from the PANAME (PAris region urbaN Atmospheric observations and models for Multidisciplinary rEsearch, https://paname.aeris-data.fr/) intensive measurement campaign. 

Previous works have established through the local observations the existence of weather types with contrasting UHI regimes resulting in distinct park cooling efficiencies. The aim of this study is to determine whether hectometric-scale modelling is able to replicate these observed results. The challenge is then to be able with modelling to study and better understand the microclimatic contrasts within the city, in particular the cooling effects generated by urban parks of various sizes and the factors contributing to their variability.

How to cite: Havu, M., Nagel, T., Wurtz, J., Masson, V., Rivollet, M., Haeffelin, M., Ribaud, J.-F., Kotthaus, S., Dupont, J.-C., and Lemonsu, A.: High-resolution modelling of park cooling efficiency during summer in Paris, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-418, https://doi.org/10.5194/ems2024-418, 2024.