News & Articles

At CERAWeek 2026, the world’s premier energy conference, industry leaders confronted a paradox: record growth driven by AI, data centers, and geopolitical shifts, yet an undeniable urgency to address climate risks. Climate adaptation is no longer optional: extreme weather and chronic risks demand immediate action. With public climate data weakening under U.S. policy, companies turn to private tools, but face new challenges, such as transparency, auditability and operational

Wind energy is experiencing rapid growth and plays a key role in the global energy transition and GHG reduction. However, its production heavily depends on climate conditions, such as wind, temperature or pression and can evolve with global warming. Estimating wind power yield over 20 to 30 years thus requires integrating climate projections to anticipate changes in wind patterns, air density and associated risks. Wind yield projections can help secure investments and improve

Struggling to choose the right climate data source for your business? This guide compares free datasates and tools, such as the IPCC Atlas, DRIAS, Copernicus CDS, ESGF, highlighting their strengths, limitations, and ideal use cases. Perfect for industries, infrastructure and energy sectors facing regulatory demand for adaptation plans or climate risk assessment.

Road networks are increasingly exposed to climate risks such as extreme heat, flooding and soil instability. From asphalt deformation to network disruptions, climate change is already affecting road infrastructure operations and safety. This article explores real world impacts, emerging vulnerabilities and the concrete adaptation strategies needed to build climate resilient roads.

Climate projections based on global warming levels are increasingly used to guide climate adaptation policies worldwide. Like the French Trajectoire de Référence pour l'Adaptation au Changement Climatique (TRACC), this approach links climate impacts directly to temperature thresholds, including the Paris Agreement targets. However, differing reference periods and methodologies create challenges for international consistency and a need for hamonization.

How can industrial facilities anticipate and reduce climate risks? Callendar and CNPP have joined forces to meet this challenge, generating detailed climate projections, turning them into a full vulnerability assessment and building tailored adaptation plans. This case study covering seven assets in Europe and the United States shows how this approach helps protect industrial infrastructure from climate change and strengthen long term resilience.

Callendar won the prestigious EVOLEN Innovation Prize on November 19 at the Cité des Sciences et de l’Industrie for its Climatology-as-a-Service solution, ClimateVision, recognized for helping companies integrate climate projections into industrial planning and decision-making.

Belém, which is currently hosting COP30, is also threatened by worsening heat waves, rising sea levels, and other impacts of climate change. Projections by Callendar using ClimateVision give an idea of what the Brazilian city will look like in 50 years.

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.

Uncover how fire weather index projections can help anticipate the impact of climate change on wildfire risks and protect industrial sites.

Are you using projections to study the local impacts of climate change? Here are the essential processing you need to get accurate results.

This article explores one of the primary tools used to anticipate wildfire risks under climate change: the Fire Weather Index (FWI)

Use Python and the Folium, Pandas and Geopandas libraries to visualize complex geographic data on an interactive map.

As soon as the temperature rises a little, the question comes up: it's hot, of course, but is it abnormally hot?

Comment télécharger gratuitement les données CMIP6, sur le futur du climat, via un navigateur ou python.