The Climate CRICES project aims to enhance the capacity of public authorities to anticipate and manage the effects of climate change by utilizing harmonized and visualized data on phenomena observed in Central European regions. With more effective and accurate data analysis, regions, agencies, and research institutions across Central Europe will be able to better forecast resilience to climate change impacts in both rural and urban areas. Access to and use of cross-border data, based on common criteria and standards, will be essential for more reliable planning.

The key effects considered are: heat and drought, flooding, and impacts on biodiversity. The project partners are jointly defining strategy and common criteria for data selection and use, while also developing a decision-making dashboard to visualize and interpret this data. This tool will enable administrations to make informed decisions and better leverage data through a shared strategy.

The project is led by the Veneto Region and involves 7 countries, 8 regions, 9 partners, and 3 pilot projects, one of which is in Piedmont. The pilot regions participating in the project will be supported and guided by Climate CRICES communication and cooperation activities, becoming reference models for climate adaptation management across Central Europe.

CSI is the technology partner and supports the Piedmont Region and ARPA Piemonte for the pilot project. It is responsible for finalizing the decision-making dashboard, releasing it to partners, and enabling monitoring and forecasting functions.

In particular, CSI contributes to:

• testing an innovative approach and tool
• defining the added value of harmonized and visualized data for projections
• supporting other partners in using data to improve forecasting and planning of mitigation and adaptation measures across Central European regions.

During the 30-month cooperation of Climate CRICES, regional authorities will strengthen their ability to manage climate adaptation plans through capacity-building activities and coordinated use of the vast environmental and meteorological data resources.