Imagine trying to build a house while the weather changes every hour; you need a plan that works for both a flood and a heatwave. This tool helps cities and companies blend local knowledge with global weather data to pick the best defenses. It's like a GPS for climate planning that shows you the cheapest and safest routes to stay resilient.
Companies and cities struggle to balance the cost of reducing emissions with the cost of protecting assets from climate disasters. They lack tools to rank these competing priorities using local data.
A Decision Support System (DSS) software package and a user guide for climate planning. It includes a tool for ranking strategies based on climate indicators.
If you are a municipal infrastructure firm dealing with unpredictable urban flooding and heat—this project developed a Decision Support System (DSS) that ranks climate strategies based on specific local priorities. This allows for better budget allocation for city defenses.
If you are a climate risk insurer dealing with complex damage claim settlements—this project developed an economic evaluation toolkit that analyzes how sectoral activity patterns change under various scenarios. This helps in predicting indirect and cascading financial effects.
If you are a sustainability consultancy dealing with the need for site-specific climate plans—this project developed a methodological toolkit tested in 5 diverse case studies. This allows you to provide clients with robust, tailor-made climate solutions.
Based on available project data, no specific pricing or commercial cost for the software is mentioned; it is developed as part of an EU-funded project.
The project tested its tools across 5 core case studies and 5 follow-up cases, ranging from urban to transnational scales, indicating it is designed for large-scale application.
Based on available project data, the specific licensing terms are not provided, but the output is delivered as a software package and a user guide.
The project provides a Decision Support System (DSS) including a software package and a Guide to use the tool for planning.
The project period runs from 2022-06-01 to 2025-11-30, with the final software release expected toward the end of this period.
The consortium is highly diverse and large, featuring 32 partners from 14 countries. With a 19% industry ratio (6 industrial partners) and 7 SMEs, the project balances academic research (17 entities) with practical application, ensuring the resulting software is grounded in real-world business needs.
Contact Universidad Politecnica de Madrid
Contact us to explore the DSS software package for your regional climate strategy.
