If you are a consultancy dealing with fragmented city data for climate planning — this project developed data-manipulation tools that merge local socioeconomic data with Earth Observation data. This allows you to provide validated risk assessments for 10 European regions.
Climate Risk Data Integration Tools for Regional and Municipal Adaptation Planning
Imagine trying to protect a city from floods, but your weather data is in one folder and your map of old buildings is in another, and they don't speak the same language. This project builds a digital translator and toolbox that blends these different data sources together. It helps local leaders see exactly where the highest risks are so they can make smarter decisions about where to build or protect.
What needed solving
Local administrations struggle to use climate data because it is disconnected from their own socioeconomic and land-use records. This gap prevents them from taking actionable steps to protect their regions from climate risks.
What was built
A set of FAIR data-manipulation tools and an 'analyst toolbox' that harmonizes different data types (Earth Observation, socioeconomic, and demographic) into a single usable format.
Who needs this
Who can put this to work
If you are an insurer dealing with inaccurate local risk profiles — this project developed an analyst toolbox to calculate risk indicators by combining in-situ and climate data. This improves the precision of risk models for sustainable development.
If you are a software provider dealing with non-interoperable climate datasets — this project developed FAIR customizable tools to harmonize geographical and time references. This enables the creation of user-oriented multi-data integration portals.
Quick answers
What is the cost or price of these tools?
Based on available project data, no pricing or cost information is provided as this is a research project.
Can this be scaled to other regions?
Yes, the project includes dedicated scalability activities to expand from 10 European regions toward a goal of 150 regions by 2030.
What is the IP or licensing model for the toolbox?
Based on available project data, the specific licensing terms are not mentioned, but the tools are designed to be FAIR (Findable, Accessible, Interoperable, Reusable).
How does this integrate with existing systems?
The tools are designed to support and improve existing data portals and are exploring connections to the Copernicus Atmosphere Data Store.
What is the timeline for deployment?
The project runs from 2023-06-01 to 2026-05-31, with a goal to reach TRL 7.
Who built it
The consortium is well-balanced for technology transfer, featuring 14 partners across 10 countries. With a 36% industry ratio (including 4 SMEs), there is a strong bridge between the 6 academic/research entities and commercial application. The presence of both SMEs and larger industry players suggests the tools are being built with market scalability in mind.
Contact Helmholtz-Zentrum Hereon GmbH in Germany
Talk to the team behind this work.
Contact us to explore how VALORADA's TRL 7 data tools can integrate with your climate risk portfolio.