STORYLINE; 50°C IN PARIS

Methodology to determine when in the future extreme heat events above a chosen threshold become likely in cities, and to present the meteorological conditions that lead up to it.

Description

 

The City of Paris prepared an action plan for extreme heat and asked IPSL on the climate and meteorological conditions that could lead to temperatures exceeding 50°C in Paris.

 

We probed the entire CMIP6 archive (including several scenarios of emissions) to seek such events. We showed that such an event is virtually impossible in SSP1-2.6, if global temperature increase is kept under 2°C. This event becomes highly possible by 2050, if global temperature increase is larger than 2.5°C.

 

This study can be transposed to other regions of the world. A French new start up company is working on the code optimization, and on its application to other regions, and other climate variables.

 

 

Potential Users:

Urban planners

 

An overview and application of the tool is provided in the paper: Yiou, P., R. Vautard, Y. Robin, N. de Noblet-Ducoudré, F. D’Andrea, and R. Noyelle, 2024: How could 50 °C be reached in Paris: Analyzing the CMIP6 ensemble to design storylines for adaptation. Climate Services, 36, 100518, https://doi.org/10.1016/j.cliser.2024.100518

 

Availability: code including some guidance on how to use it on github: https://github.com/pascalyiou/Paris50C

 

Use Cases: Note for the city of Paris (in French)  https://grec-idf.eu/simulations-paris-50c/

 

Reference: Yiou, P., R. Vautard, Y. Robin, N. de Noblet-Ducoudré, F. D’Andrea, and R. Noyelle, 2024: How could 50 °C be reached in Paris: Analyzing the CMIP6 ensemble to design storylines for adaptation. Climate Services, 36, 100518, https://doi.org/10.1016/j.cliser.2024.100518

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003469.

Tools

Operational Attribution Service: ClimaMeter

In the aftermath of an extreme weather event, the event is studied more and more often by an operational attribution service. Two examples of such operational attribution services are used within XAIDA. These operational services generally answer slightly different questions and are complementary.

ClimaMeter is an international consortium designed to

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