News & Articles

With nearly 20,000 kilometers of shoreline, France is particularly exposed to coastal risks: erosion, sea level rise, storm flooding... This article demonstrate a comprehensive methodology to assess these risks and their evolution with climate change. Applied to the entire territory, both mainland France and overseas territories, it provides an unprecedented assessment and shows how high-resolution, science-based risk assessment can be realistically performed on whole country

For planners, investors and policymakers, knowing when and where extreme heat will strike is crucial. Robust severity assessments is needed to offer a clearer view of potential impacts, yet heatwaves are complex and defined in many ways. This article presents a method from recent scientific research to measure severity and reveals how climate change is turning rare heatwaves into regular events.

Wildfires are increasing worldwide due to climate change, yet many regions lack detailed historical data at local levels. We developed a scalable method using satellite data to estimate wildfire risk by administrative units, demonstrated on France’s complex municipal system. This approach highlights uneven fire exposure and can be applied globally, supporting insurers, planners, and utilities in climate risk management with consistent, location-specific insights.

Over $2 trillion in global infrastructure losses are expected by 2035 due to climate-related risks like floods, extreme heat, storms, and droughts. A new report from Callendar highlights outdated design standards as a key vulnerability across sectors including energy, transport, telecoms, water, and roads.

Data center failures during the 2022 UK heatwave exposed a critical flaw in how we design infrastructure: relying on outdated weather data. As climate change make heatwaves more severe and more frequent, extreme temperature assumptions fall short. Discover how ClimateVision, Callendar’s climate impact tool, empowers operators with cutting-edge climate projections,making it easier to build heat-resilient infrastructure, anywhere in the world.

Univariate bias-correction methods can distort multivariate indicators, such as heat indexes that combine temperature and humidity.

Can we predict the once-in-a-century heatwave in Paris ? EVT helps anticipate rare extreme weather events and adapt to climate change.