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CLOSER – Closing the Loop: Attribution of Complex Climate Disasters to Climatic and to Policy Changes

CLOSER (Closing the Loop: Attribution of Complex Climate Disasters to Climatic and to Policy Changes) advances the science of attribution and forecasting of climate-related disasters. Climate-related extremes — floods, droughts, heatwaves, wildfires — are becoming more frequent and severe, yet the resulting disasters emerge from complex interactions between climate change and other factors such as land-use change, groundwater depletion, and changes in social vulnerability. Current methods cannot fully disentangle this complexity, leaving governments, emergency responders and communities without the full picture they need to act effectively. A key innovation of CLOSER is the expansion of “event attribution” — the science that quantifies how much climate change has contributed to a specific disaster. Today, attribution science can tell us that climate change made a heatwave more likely or a flood more intense, but it cannot yet tell us how much a policy decision, a land management choice, or a change in social vulnerability contributed to the final damage. CLOSER fills this gap by developing a new Protocol for Expanded Attribution and Forecast that traces the full chain of causes behind a climate disaster — from greenhouse gas emissions to local decisions — and links them to real-world impacts on people, ecosystems and economies, across past, ongoing and future events. Working closely with emergency responders, climate services, and policymakers across six real disaster cases on four continents — including Mediterranean droughts, Caribbean hurricanes, floods in Senegal and harvest failures across multiple continents — the project develops practical tools to help decision-makers better


CO-CREATE: Conditions for Responsible Research of SRM – Analysis, Co-Creation, and Ethos

Experimental research on solar radiation modification (SRM) is controversial and feared to distract from climate change mitigation or lead to dangerous SRM use. Co-CREATE seeks to help structure this decision problem through co-creative scoping, analysis, and engagement to develop principles and guidelines. Starting with a series of scoping notes that outline key dimensions of experimental SRM research, the project will analyze and develop decision-support tools by asking what we can learn from governance analogues, and how various (risk) evaluation frameworks may help identify key characteristics of research proposals. Furthermore, CO-CREATE itself will enter an extensive stakeholder and rightsholder dialogue that validates preliminary analytical work, ensures stakeholders’ diverse dimensions of concern are included, and strengthens deliberative capacity. Co-CREATE proposes guidelines and principles to facilitate decision-making by the relevant authorities on broader categories of experimental research of SRM and case-by-case decisions.


COAST-SCAPES: rethinking COASTal landSCAPES with climate-resilient interventions: systemic land-to-sea solutions

Coast-Scapes (rethinking COASTal landSCAPES with climate-resilient interventions: systemic land-to-sea solutions) proposes to rethink land-coast-sea systems under climate change for enhanced resilience and biodiversity gains. We shall co-design systemic resilience solutions for coastal landscapes using transdisciplinary indicators, early and climatic warnings, business models and knowledge-based maintenance to reduce climatic risks and improve land to sea environments. We propose nature-based-solutions (NbS) suited to a broad range of coastal archetypes, governance, climates and resilience deficits, sequenced along resilience-through-adaptation pathways. Such solutions, supported by governance transformation and cross-sectoral engagement, will be applied by regions and communities empowered by an unprecedented combination of technical tools, financial models and social commitment. Coast-Scapes will promote NbS for a climatic resilience compatible with biodiversity gains and existing infrastructure constraints, seeking a reduced environmental footprint under natural resources that are scarce in quantity and quality. Social and technical innovation, associated to a governance shift, will make systemic resilience operational and fill the implementation gap at a pace commensurate with climate change acceleration. The selected Core Pilot regions/communities feature climate sensitive natural/human assets, controlled by land-coast-sea interactions and acting as large-scale demonstrators of scalable resilience plans for replication and export. These plans aggregate Science, Policy, Industry, Society and Environment actors with administrations responsible for local implementation, organised as resilience platforms and linked in a Regions and Communities Board. Resilience solutions will be monitored/maintained/marketed with the project, new standards and business models, for a resilience build up commensurate with unfavourable climate/human stressors.


COMEDI: COpernicus Marine services with Enhanced Data assimilation and improved Interoperability

Operational ocean data assimilation systems have strict requirements for stability and may therefore lag behind the latest development from the research community and from neighbouring forecasting centres. To overcome this limitation, COMEDI brings together experts from the Copernicus Marine forecasting centres to modernise and harmonise our data assimilation practices. COMEDI will enhance the data assimilation software with innovations such as multiscale, non-Gaussian, and Artificial Intelligence approaches to stay at the research forefront. COMEDI will also unlock the potential to assimilate new types of observations, including SWOT, Sentinel-3 reflectance data, Sentinel-3 Next Generation wide-swath altimeter data, and brightness temperatures from Copernicus Imaging Microwave Radiometer (CIMR).


COMET: Climate Obsertvation and Modelling Expertise Team

The Climate Observation and Modelling Expertise Team (COMET) aims to enhance the use of satellite-derived climate data in ocean and sea ice modelling by integrating high-quality long-term Earth Observation records from ESA’s Climate Change Initiative (CCI) for key Essential Climate Variables (ECVs) such as sea surface temperature and salinity, sea ice, and sea. By applying advanced data assimilation, model calibration, and machine learning techniques, COMET addresses key scientific challenges in climate modelling, particularly in polar regions, and contributes to more accurate and reliable representations of present and future climate conditions. The project strengthens links between the Earth Observation and modelling communities under ESA’s Climate-Space initiative and responds to scientific priorities set by the IPCC, WCRP, and GCOS, focusing on better representation of ocean–ice–atmosphere interactions in climate models. It addresses scientific priorities set by the IPCC, WCRP and GCOS, focusing on better representation of ocean–ice–atmosphere interactions in climate models. By improving the physical consistency, usability, and assimilation of satellite ECVs, COMET helps deliver more reliable climate predictions, particularly for vulnerable regions such as the Arctic.


CONCERTO: Improved CarbOn cycle represeNtation through multi-sCale models and Earth obseRvation for Terrestrial ecOsystems

Terrestrial ecosystems are key to the functioning of the global carbon cycle and play a fundamental role in mitigating climate change. According to the Global Carbon Budget, about 30% of all the carbon dioxide (CO₂) emitted in the atmosphere is removed by vegetation uptake through photosynthesis and accumulation of biomass (so called CO2 sinks on land). Land use change, nutrient limitations, and extreme events (e.g. droughts, fires and heat waves) may limit this potential to sequester carbon. Identifying processes that might destabilise net land carbon uptake is of paramount importance for understanding and managing the global carbon cycle. CONCERTO aims to improve: the current understanding of the terrestrial carbon cycle by adding land processes that are not included yet or not fully developed in Land Surface Models (LSMs); the representation of land change, land use and land management maps to improve the accuracy of carbon fluxes and stocks; the description of impacts on the carbon cycle of extreme events such as droughts, heatwaves and fires, using tools such as state-of-the-art land surface models (LSMs) embedded into Earth system models (EMSs); the integration of LSM improvements in offline global simulations (driven by re-analyses) and in coupled ESMs.


Copernicus Marine Service – Black Sea Monitoring and Forecasting Centre (BLK MFC)

Black Sea – Monitoring and Forecasting Centre (BLK MFC) provides regular and systematic information about the physical state of the ocean and marine ecosystems for the Black Sea. The system is based on a numerical ocean model assimilating in-situ and satellite data. BLK MFC gathers expertise in the field of ocean analysis and forecast in the Black Sea, brings together knowledge of the regional Black Sea dynamics, and enhances technical links with other CMEMS components and strong connection with the MED MFC. Moreover, BLK MFC’s objectives include the planning and efficient implementation of system upgrades, product quality, and support to the production of the Ocean State Report (OSR) and Ocean Monitoring Indicators (OMI).


Copernicus Marine Service – Mediterranean Sea Monitoring and Forecasting Centre (MED MFC)

The Mediterranean Monitoring and Forecasting Center (MED MFC) of the Copernicus Marine Service provides regular and systematic reference information on the physical and biogeochemical state for the Mediterranean Sea. MED MFC develops, implements and operationally delivers analysis, forecast as well as reanalysis reconstructions of the essential ocean variables in the Mediterranean Sea. It enables marine policy implementation, supports Blue Growth and scientific innovation. Copernicus Marine Service is an open and free of charge service, compliant with EU regulations such as INSPIRE and the Delegated Regulation on Copernicus data and information policy.


COST Action CA23108. Seasonal-to-decadal climate predictability in the Mediterranean: process understanding and services | MEDUSSE

Climate forecasting has enormous potential influence in different socio-economic sectors, such as agriculture, health, water management, and energy. Actionable climate information is particularly relevant at seasonal-to-decadal timescales, where predictability is linked to slow fluctuations of the system such as those in the ocean, sea-ice and land-surface, thus bridging weather/sub-seasonal predictions (mainly relying on atmospheric initial condition) with future projections (mainly based on atmospheric radiative forcing). Seasonal-to-decadal climate forecasting has progressed considerably in recent years, but prediction skill over the Mediterranean is still limited. Better understanding the drivers of regional climate anomalies as well as exploring untapped sources of predictability constitute a much-needed and timely effort.


CS-MACH1: Marine Citizen Science data Horizon

The HE project CS-MACH1 (Marine Citizen Science data Horizon), coordinated by CMCC, aims at developing a Marine Citizen Science (MSC) data network and associated online hub to support MCS initiatives in the acquisition and integration of data by users. This will be implemented by supporting continuous interaction between CS communities, technology providers, data management experts and researchers, and by providing the necessary low-cost technology, data management best practices and standards, training and support needed to produce FAIR data streams


DemoEPR: Demonstrating Innovative Extended Producer Responsibility Solutions for Circular Economy

The transition from linear to circular product value chains stands as one of the EU’s most pressing sustainability ambitions. Extended Producer Responsibility (EPR) has emerged as a central policy instrument in this transition, yet existing EPR schemes have largely remained confined to recycling, falling short of unlocking higher-order circular strategies such as reuse, repair, and redesign. DemoEPR responds to this gap by bringing together a transdisciplinary consortium of industry practitioners, consumer organisations, and world-class researchers to co-create next-generation EPR solutions for ICT products — a sector at the heart of digital transformation and circular economy challenges alike.


DesirMED: Demonstration and mainstrEaming of nature-based Solutions for climate Resilient transformation in the MEDiterranean

DesirMED is a project funded by HORIZON Europe Research and Innovation actions in support of the implementation of the Adaptation to Climate Change Mission (HORIZON-MISS-2022-CLIMA-01). DesirMED aims at increasing ambition, ownership and capability of regional Mediterranean leaders and communities through proven transformative climate change adaptation approaches prioritizing nature based solutions. To this aim DesirMED involves a multi-level set of actors in 5 Demonstrating regions and 3 Replicating Regions working hand-in-hand with scientific partners to foster holistic approaches to implement transformative adaptation. By engaging at the regional level key institutions in a multi-level governance framework, it will act as a catalyzer to trigger and accelerate the necessary actions to increase regional climate resilience over the long run.


DRYAD: Demonstration and modelling of nbs to enhance the resilience of mediterranean agro-silvopastoral ecosystems and landscapes

Mediterranean agrosilvopastoral ecosystems (MAEs), such as Dehesa in Spain, Montado in Portugal, Meriagos in Italy, &; Valonian oak forests in Greece, provide essential environmental services and influence significantly local communities and their economies. MAEs are expected to be severely affected by climate impacts and extreme conditions such as droughts, high tree mortality and wildfires. Addressing these challenges, requires supporting local communities and authorities with local solutions and transformations towards climate-resilience. The proposal will be centered around development, testing and demonstrating NBSs in 5 demonstration regions including Andalusia and Extremadura (ES), Alentejo (PT), Sardinia (IT) and Aetoloakarnania (EL) (5 in Cohesion Fund Regions). The most promising NBSs will be transferred to these 3 replicating regions: Castilla-y-León (ES), Occitanie (FR) and Tuscany (IT). Furthermore, DRYAD will support a multi-level and cross- sectoral integrated and adaptive management governance via development of Decision Support Systems.


EarthGenerator a foundation model for Earth system modelling

EarthGenerator will deliver a foundation model of the Earth system, extending the WeatherGenerator model by integrating atmosphere, ocean, and land in a single, physically consistent model. By adopting a generative AI approach, EarthGenerator will provide a general-purpose capability adaptable to multiple downstream tasks from seasonal forecasting to multi-annual climate projections with minimal additional training.


ECHO2: Knowledge support for the European Climate and Health Observatory

The European Climate and Health Observatory was launched in 2021 by the European Commission and the European Environmental Agency (EEA) as a means to facilitate the “smarter adaptation” called for in the Communication ‘Forging a climate-resilient Europe – the new EU Strategy on Adaptation to Climate Change’ (COM/2021/82 final). This strategy outlines a long-term vision for the European Union to become a climate-resilient society, fully adapted to the unavoidable impacts of climate change by 2050. The European Climate Law formalizes the role of the Observatory to “better understand, anticipate and minimize the health threats caused by climate change.” To support Europe in preparing for and adapting to the impacts of climate change on human health, as well as to mitigate the impact of health systems on climate change, the Observatory provides access to relevant information and tools, and fosters information exchange and cooperation between relevant actors.


ECOMPASS: Systemic Decision-support for Ecosystem Restoration Pathways – Integrated Framework for Socio-economic Valuation, Policy Guidance and Biophysical Trade-offs

The EU faces a critical implementation gap between the ambitions of the Nature Restoration Regulation (NRR) and the capacity to act at scale. This gap stems from three systemic barriers: the difficulty of scaling highly localised restoration successes, fragmented and inaccessible decision-making tools, and the chronic undervaluation of ecosystems’ socio-economic benefits. ECOMPASS addresses these challenges with a co-created, web-based Decision Support System (DSS) that translates nature’s multidimensional value into clear, investable opportunities. It introduces Nature Restoration Pathways as a shared language for policy, finance and practice, and Landscape Archetypes for Nature Restoration (LANR) as a novel approach to scaling, turning lessons from local cases into replicable, continent-wide strategies. The project grounds its innovations in six diverse Use Cases: restoring tidal saltmarshes in Cantabria (Spain), rethinking post-Xylella agroforestry in Salento (Italy), transforming climate-stressed spruce forests in Germany, regenerating semi-arid drylands in southern Spain, restoring the natural hydrology of drained wet forests in Estonia, and implementing regenerative rice production coupled with ecosystem resilience in the Ebro Delta (Spain). Together, these cases cover estuarine, agricultural, forest, dryland and wetland ecosystems under high socio-ecological pressure, representing different and heterogeneous targets of NRR articles 4-6, 9-12 and 13. By integrating biophysical modelling with socio-economic valuation, including non-monetary benefits, ECOMPASS acts as a catalyst for aligning Europe’s policies, finance and visions towards ecological recovery. By making the true value of nature understandable, visible and investable, ECOMPASS provides an essential framework to help turn the NRR into a reality for a sustainable future and prosperity for all.


ECONATURES: ECOnomic impacts of NATUre REStoration

ECONATURES is a Horizon Europe research project coordinated by CMCC and involving 8 additional partner institutions across Europe. The project aims to develop Europe’s most comprehensive modeling framework for assessing the socio-economic impacts of nature restoration over short, medium, and long terms. It integrates economic, ecological, environmental, and social methodologies into a unified assessment system that captures restoration benefits, costs, and distributional impacts from EU to local scales, directly supporting the EU Nature Restoration Regulation and the Biodiversity Strategy for 2030.


EDITS7: Energy Demand changes Induced by Technological and Social innovations

The EDITS (Energy Demand changes Induced by Technological and Social innovations) project is operated by RITE as a commissioned project of METI, with the aim of conducting a comprehensive analysis and evaluation of CO2 emission reductions and changes in energy demand brought about by technological innovation.


ENMASSE: Enhancing NEMO for Marine Applications and Services

The Enhancing NEMO for Marine Applications and Services (ENMASSE) project represents a pivotal initiative aimed at advancing the capabilities of the NEMO (Nucleus for European Modelling of the Ocean) modelling platform. This enhancement is designed to address specific scientific and operational requirements set by the Copernicus Marine Service (CMS) program for the development and delivery of more precise and sophisticated ocean modelling products. These products are intended to support a wide range of applications, including marine safety, climate prediction, and ecosystem monitoring, ultimately contributing to informed decision-making and sustainable ocean management.


ENTICE: ENhanced understanding of Trade Impacts on Climate, industries, and the Environment

Despite the wide recognition of the complex interactions between trade (policy) and climate (policy), the state-of-the-art capabilities in macroeconomic models face substantial limitations, such as lack of granular data, dependence on conventional trade theories, limited empirical evidence on trade-climate interactions, limited representation of the value and material chain in key (existing and emerging) sectors, heavy reliance on frameworks not accounting for endogenous technical change, limited understanding of the role of developing countries in trade, etc.


EOSC Beyond: advancing innovation and collaboration for research

EOSC Beyond è un progetto di 36 mesi coordinato dalla Fondazione EGI con l’ambizione di supportare la crescita dell’European Open Science Cloud (EOSC) in termini di provider e user fornendo nuove soluzioni tecniche che consentano agli sviluppatori di applicazioni scientifiche di comporre facilmente un portafoglio diversificato di risorse EOSC da offrire ai ricercatori come capacità integrate.


EOSC-Marine: Operationalizing the EOSC Node | European Digital Twin Ocean to Support the EU Mission Ocean & Waters

The EOSC Ocean & Waters Node aims at further developing and integrating the current EOSC candidate marine thematic node into the operational thematic node for marine research within the EOSC Federation, providing researchers an EOSC compliant digital environment with access to core computing capabilities (Authentication, Authorisation and Accounting, Research Catalogues and Knowledge Graph, Application Workflows, Monitoring and Helpdesk), coupled with multidisciplinary datasets and workflows from in- situ and earth observations, models, analytical tools/services, essential for responding to the needs and objectives defined by the EC Mission “Restoring our Ocean and Waters by 2030”. The EOSC Ocean & Waters Node directly builds upon the achievements from the Blue-Cloud 2026 project and the EU initiated and funded EDITO programme that is building EDITO as the core infrastructure for the European Digital Twin of the Ocean.


ERC Synergy Grant EUROpest – A Novel Understanding of Pandemic Disease in Preindustrial Europe (1300-1800): Combining History, Machine Learning and Natural Sciences

Born from years of interdisciplinary collaboration, EUROpest aims to articulate the complex ways in which social-ecological systems shape epidemics. It builds on resilience and actor-network theories to advance its own eco-bio-social paradigm that embraces a multi-causal understanding of disease transmission and disease impacts on human societies and ecosystems.


ESiWACE3 – Center of excellence for weather and climate phase 3

Extreme weather events and climate change are two of the main threats for society of the 21st century. Extreme weather events caused over 500 thousand casualties and over 2 trillion USD economic damages in the past 20 years. A failure of climate change mitigation and adaptation targets is ranked among the leading threats to global society. At the 2015 Paris Climate Conference, leaders from 194 countries of the world unanimously acknowledged the serious threat posed by anthropogenic emissions of greenhouse gases. Society must now become resilient to changes in climate over coming decades, which requires making quantitative estimates for future changes of weather patterns and climate extremes. This includes exceptional weather events such as violent windstorms and flash floods, but also persistent anomalies in planetary-scale circulation patterns, which lead to pervasive flooding in some regions and seasons, and long-lived drought and extremes of heat in others. Numerical models of the Earth system represent the most important tool to anticipate and assess these kinds of threats. One of the main factors that is limiting the skill of these models is limited resolution, and resolution, in turn, is limited by computational power that can be leveraged by these models. The first two phases of the ESiWACE Centre of Excellence (COE) have pushed the resolution of global Earth system models to unprecedented levels. This includes the first global atmosphere models that were able to run at ~1 km resolution in the first phase of ESiWACE and coupled atmosphere/ocean models that were able to

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