Imagine having a high-tech weather map that doesn't just show rain, but tells you exactly how much money your business might lose in a decade. It's like a financial stress test for the planet, helping companies see where they are vulnerable before a disaster hits. It connects the dots between changing weather patterns and the actual cost of doing business.
Companies struggle to quantify the exact financial risk of climate change because current models are too general. They lack granular data to know how specific local weather events will impact their specific sector's bottom line.
A set of probabilistic emulators for climate hazards and a public API for decision-support platforms.
If you are a risk assessment firm dealing with unpredictable climate losses — this project developed stress-test scenarios that allow you to predict financial hits from both sudden extreme events and slow changes. This helps in pricing insurance premiums more accurately.
If you are a utility provider dealing with energy security and import dependence — this project developed region-specific recommendations on policy responses. This allows you to adjust your long-term infrastructure plans to avoid costly outages.
If you are a supply chain manager dealing with cross-sector disruptions — this project developed probabilistic emulators of climate hazards. This helps you identify which specific transport hubs are most likely to fail during climate events.
Based on available project data, no pricing information is provided, but the project emphasizes open science data and public APIs for dissemination.
Yes, the project is designed to provide actionable insights for businesses and public sector entities through online decision-support platforms.
Based on available project data, the project follows open science principles, suggesting that models and data will be shared openly rather than through restrictive licensing.
The outputs are guided by the EU Green Deal and Mission Adaptation to help businesses align with European climate policy ambitions.
The project period runs until 2027-02-28, which is when the final results and tools are expected to be fully delivered.
The consortium is heavily weighted toward research and academia, with 5 universities and 6 research organizations. Business representation is low, with only 1 industry partner and 2 SMEs, resulting in an industry ratio of 8%. This suggests the project is primarily a scientific endeavor to create tools that will later be handed over to the 9 participating countries' markets.
Contact the Internationales Institut fuer Angewandte Systemanalyse in Austria
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