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| Funder | European Commission |
|---|---|
| Recipient Organization | Administratia Nationala de Meteorologie R.A. |
| Country | Romania |
| Start Date | Jan 01, 2024 |
| End Date | Dec 31, 2026 |
| Duration | 1,095 days |
| Number of Grantees | 15 |
| Roles | Associated Partner; Participant; Coordinator |
| Data Source | European Commission |
| Grant ID | 101081377 |
The project CROSSEU aims to respond to the increasing societal needs to reduce climate-damaging actions, adapt to the expected consequences and increase socio-economic resilience.
The project aims is to deliver a climate-sensitive framework, including a ready-to-use decision support system platform and technical recommendations, to inform investment decisions, cost-effective adaptation and mitigation options and policy response to climate change.
The project will contribute to advancing the understanding of the socio-economic risks and response options associated with climate change impact in Europe in different timeframes, including the post-COVID19 societal-environmental transformation, and derive practical recommendations for political and societal action.
The solutions proposed are based on an extensive assessment of the socio-economic risks of climate change in a cross-sectoral hierarchical approach, based on storylines addressing key categories of climate hazards in different socio-economic sectors and climate change-sensitive areas across countries and European regions.
The project will offer a ready-to-use solution that integrates complex information from available climate risk data sets and non-climatic sectoral data collected during the project implementation and derived through modelling based on demand-driven climate-socio-economic pathways.
CROSSEU is designed to bridge the science-based information about the economic impacts of climate change and the unique contributions of the project will be (i) the quantification of costs of existent and emergent socio-economic risks and opportunities at NUTS3 level, (ii) an improved representation of adaptation within biogeophysical climate change risk and (iii) a better consideration of modelling uncertainties by identifying their nature, assessing their characteristics in a systematic way to determine a better informed and robust decision-making.
University of East Anglia; World Meteorological Organization; Universitatea Din Bucuresti; Electricite de France; Administratia Nationala de Meteorologie R.A.; Lgi Sustainable Innovation; Universita Degli Studi Di Padova; Helmholtz-Zentrum Hereon Gmbh; United Kingdom Research and Innovation; Universitaet Fuer Bodenkultur Wien; Danmarks Tekniske Universitet; World Energy & Meteorology Council; Conoscenza E Innovazione Societa Aresponsabilita Limitata Semplificata; University College London; Ceska Zemedelska Univerzita V Praze
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