Nos solution d'analyse des risques climatiques physiques sont utilisées par des acteurs de référence dans l'industrie, l'énergie et les infrastructures
Adaptez vos infrastructures
Intégrez dès maintenant l'impact du changement climatique dans vos projets d'infrastructures grâce à une étude complète, rapide et adaptée à vos besoins.
Callendar's ClimateRating™ is a range of synthetic climate risk analysis designed to deliver high resolution, ready-to-use hazards assessments in a timely and cost-efficient way using the most recent peer-reviewed climate impact projections and advanced automated data processing.
ClimateRating™ build upon our extensive data catalog, including dozens of the scientific community’s most respected physical models of the atmosphere and hydrosphere, detailled land use and elevation data, and long-term weather observations.
To ensure transparency and explicability, all our ratings include raw source data as well as an user guide that communicate methodologies and confidence levels, and details best practices for adaptation and risk mitigation. Additional support is available upon request.
Comment nos outils et nos données sont utilisés dans des situations réelles pour quantifier et réduire les risques climatiques
Climate Comparer: how abnormal were 2022 temperatures?
2022 was a year of record-breaking heat in Southwest Europe. To better understand how exceptionnal these temperatures were, we compared them to 1990-2020 average in more than 20,000 locations around the world. See how your city was affected.
Will climate change increase probability and severity of flood for your business or assets? A member of the ClimateRating physical climate risk scoring system, FloodRating is a comprehensive solution for assessing future flood and submersion risks.
Assessing flooding risk for one million substations
In this case study we evaluate the frequency of flood for 930,000 step-down transformers used to distribute electricity across mainland France.
It shows our ability to use big data and the benefits of data automation to quantify climate risks at scale.