Digital twins and/or their major components for environment, climate and security

Expected Outcome:Improved security and preparedness for the Union and more disaster resilient society facing the adverse effects of climate change;Improved capacity of key users and decision-makers to anticipate, mitigate and contain risks at the vulnerable societal sectors at the intersection of climate change, environment and security;Further development of the data lab infrastructure around Destination Earth in line with the AI continent Action Plan[1] Scope:Climate change has both direct and indirect consequences to the security of our societies. To be able to address the intricate connections between climate change and security to various impact sectors, Europe needs to be equipped with adequate tools, technologies and methods that enable addressing these complex issues and exploit the recent advances in AI, high-performance computing and other new digital technologies.Digital twins for civil security require the development of high-accuracy and fast-response models at local and regional levels to strengthen preparedness and resilience, protect EU citizens and raise risk awareness both inside and outside the EU. The topic focuses on new digital twins, or major new components of existing digital twins, to strengthen foresight and anticipation capabilities at the intersection of environment, climate and security. In addition to climate and environmental issues, possible security related impact sectors include, but are not limited to, natural or human-induced disasters, health and related emergencies, energy sustainability and management, migration, or resource scarcity (e.g. food and water). The proposed cross-disciplinary solutions should cover risk mitigation, prevention and foresight, and make use of the Destination Earth system capabilities. The focus is on local and/or regional models, primarily in Europe and its neighbourhood. If necessary, some indicators can also be provided at regional / global levels.The work should benefit from rapid advances in modell