User driven climate applications empowering regional resilience
"ClimEmpower will empower five south-European regions with high Climate Change (CC) risk and exceptionally low adaptive capacity to enhance their CC-resilience, establish the regional Communities of Practice (CoP) and co-create th...
"ClimEmpower will empower five south-European regions with high Climate Change (CC) risk and exceptionally low adaptive capacity to enhance their CC-resilience, establish the regional Communities of Practice (CoP) and co-create the resilient development strategies adapted to the regional needs and potentials. We will achieve this through combination of user-driven climate applications, capacity building and ""best practices"" transfer from other European projects and regions.Throughout the project the ClimEmpower team will aid the regional administration in organizing the regional CoPs where representatives of ""quadruple helix"" stakeholders will discuss their Climate Adaptation needs and capabilities, assess potential pathways towards CC-resilient, societally just, and sustainable future and elect sustainable and CC-resilient regional development pathways that are best suited to their needs and capabilities. This activity will be supported by provision of the data driven Decision Support service(s) for strategic CC-adaptation planning, as well as through provision of easy to understand educational materials illustrating the CC risks and possible technological, natural and societal adaptation options and strategies, explaining the use of the project tools, as well as knowledge transfer on existing data, tools and best practices in climate adaptation from successful EU projects and regions with higher adaptive capacity.ClimEmpower will develop new generic interface to C3S Climate Data Store, data driven CC-hazard and -risk assessment services, and semi-semi-quantitative (“screening”) services allowing the users to compare different adaptation strategies. These services will primarily rely on open data and open service infrastructure and on cross-linking of such data with data that can be sampled locally during the project - to complement the pan-European data, improve granularity or to validate the predictions."ver más
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