The IRIDE Cyber Italy Coastal Digital Twin (DT#3) is an advanced Digital Twin designed to support decision-making in coastal management by integrating Earth Observation data, numerical models and artificial intelligence techniques. The project addresses critical coastal challenges such as erosion, flooding and water quality degradation, providing data-driven insights and predictive simulations to support policymakers, environmental agencies and researchers. The system will enable real-time scenario simulations and risk assessments through a web-based interface, allowing stakeholders to explore different mitigation strategies and improve coastal resilience. Developed as part of the IRIDE Cyber Italy initiative, this Digital Twin serves as a prototype for future expansions, with the potential to be applied to other coastal areas in Italy and beyond. By leveraging cutting-edge technology and high-resolution environmental data, the DT#3 aims to enhance sustainable coastal planning, infrastructure optimization and climate adaptation efforts.

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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.

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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.

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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.

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ESA has established the Climate Modelling User Group (CMUG) to place a climate system perspective at the centre of its Climate Change Initiative (CCI) programme, and to provide a dedicated forum through which the Earth observation data community and the climate modelling and reanalysis community can work closely together. CMUG will work with the Essential Climate Variable CCI projects to achieve this goal.

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Mesoscale eddies are ubiquitous in the ocean, they can originate nearly everywhere, move around the basin and transporting trapped water with anomalous properties with respect to the surroundings. Although only the surface expression of mesoscale eddies is visible in remote sensing measurement of sea level anomaly (SLA), they are three-dimensional (3D) structures that can reach down into the pycnocline. WATER project plans to study the population of “active” eddies that can be extracted from surface altimetry and sea surface temperature maps. “Active” eddies are surface SLA pattern that include a colocalized SST environmental anomaly that is typically the signal of the 3D physical/biological processes concurring in the same place. The project plans to assess the active population both in the SWOT-enhanced altimetry maps and the conventional altimetry data to quantify the impact of the next-generation altimeter.

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Mathematical models have become central tools in global environmental assessments. To serve society well, climate change stabilization assessments need to capture the uncertainties of the deep future, be statistically sound and track near-term disruptions. Up to now, conceptual, computational and data constraints have limited the quantification of uncertainties of climate stabilization pathways to a narrow set, focused on the current century. The statistical interpretation of scenarios generated by multi-model ensembles is problematic due to availability biases and model dependencies. Scenario plausibility assessments are scant. Simplified, single-objective decision criteria frameworks are used to translate decarbonization uncertainties into decision rules whose understanding is not validated. 

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Current global climate action is deeply insufficient to deliver the objectives of the Paris Agreement and containing global warming to 1.5 °C will likely require the deployment of carbon dioxide removals. However, the technologies to sequestrate and store carbon from the atmosphere are currently immature, risky, and highly questioned. Understanding the effective diffusion potential of carbon removal methods and their socioeconomic and environmental impacts is pivotal to design future climate action. FIND will help to develop an innovative framework to assess the feasibility and social desirability of limiting global warming through the diffusion of negative emission technologies. It aims to ensure that negative emission technologies act as an enabler, not a barrier, of long-run sustainable development. The project will evaluate climate and non-climate policies to create robust, no-regret policy portfolios supporting a rapid and sustainable path to a net-zero society. FIND will be of high relevance for public policy and civil society, especially considering Europe’s commitment to reach carbon neutrality by 2050 while spurring green and inclusive growth.

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Il progetto si inquadra in un ampio sistema di osservazione, monitoraggio ed analisi dell’ambiente marino che risponde all’esigenza di armonizzare la salvaguardia degli ecosistemi marini con una corretta gestione e sviluppo degli usi delle aree costiere. La risposta dei sistemi naturali alle variazioni generate da specifici interventi sulla costa si sovrappongono alle variazioni indotte dai trend climatici e dalle modifiche territoriali (uso del suolo, interventi sugli alvei, industrie) che avvengono nei bacini afferenti generando una sovrapposizione di effetti che modulano l’evoluzione del tratto di mare ricevente e delle coste a differenti scale spaziali e temporali. L’area di studio è dominata dalla presenza del fiume Tevere che, essendo il principale corso d’acqua dell’Italia centrale, influenza in maniera significativa il bilancio sedimentario nell’area e la distribuzione delle biocenosi. La stessa area sarà interessata da una serie di attività legate alla realizzazione di nuove infrastrutture portuali. Per poter analizzare un sistema così complesso e separare il più correttamente possibile le variazioni indotte da un’opera rispetto all’evoluzione del sistema stesso è quindi fondamentale conoscere le caratteristiche fisiche e dinamiche dell’area oggetto di studio e l’attuale stato ambientale, attraverso anche un’approfondita analisi dei principali impatti e delle pressioni che influiscono sull’intera area e gli habitat presenti. Questo progetto si pone l’obiettivo di studiare le caratteristiche fisiche, chimiche e biologiche dell’area compresa tra Capo Linaro e Capo d’Anzio, attraverso uno studio multidisciplinare che prevede l’integrazione di dati osservativi e modellistica numerica e di supportare lo sviluppo delle opere e la loro integrazione nell’area supportando la progettualità

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FOCCUS enhances CMEMS (Copernicus Marine Environment Monitoring Service), for effective uptakes from the EU Member states to ensure a more sustainable Blue Economy and coastal resilience to climate change

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Europe’s urban areas face significant challenges to ensure the availability and consumption of healthy, affordable, safe and sustainably produced food. Such challenges converge within local food environments but are often neglected by public planners. Promising initiatives taken by municipalities to change the architecture of food choice often fail to become embedded in the wider policy context and to reach deprived and vulnerable groups. Key factors responsible for this are: (1) siloed ways of working and (2) fragmentation of knowledge on facilitators and barriers related to food system transformation. These factors hinder the development and implementation of integrated urban food policies. FOODCLIC aims to contribute to urban food environments that make healthy and sustainable food available, affordable and attractive to all citizens (including deprived and vulnerable groups).

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The Germ of Life project aims at developing, test and uptake a drought risk management preventive approach based on a set of jointly developed and adapted solutions based on: (i) newly available data, (ii) drought risk prediction for the territorial monitoring systems and timely warning of drought conditions, (iii) a vulnerability assessment tool enhancing the coordination and cooperation of stakeholders, and (iv) an innovation procurement platform for innovative NBS and technological solutions supporting risk-adaptation strategies.

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Reanalyses are dynamical, observation-based reconstructions of past ocean state and are the principal way for exploring the existence of processes and trends not mapped by the observation networks. Beside the scientific importance, Reanalyses are growing in popularity within the artificially intelligence sector, being widely exploited as reference states for training ML-based forecasters or simulators. However, each Reanalysis is affected by systematic errors that intrinsically depends on the specific set up of the production system. In this context CMCC is leading an international Consortium that produces and maintains an ensemble of global Reanalyses within the Copernicus Marine Service. Several state-of-the-art products are available for a multitude of different applications from science studies to AI training, together with a day-by-day assessment of reliability and uncertainties of whole ensemble.  

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HEATSAFE directly tackles the need to adapt against climate change adverse effects in the whole Mediterranean area. The intensity of heatwaves is amplified in urban areas by factors such as the configuration of the city, the lack of vegetation or the materials of urbanized surfaces, so the strategy to mitigate their effects must be designed specifically for each territory. Sociodemographic conditions must also be considered, as significant correlation between exposure to extreme heat and socioeconomic vulnerability has been shown, leading to nearly double the mortality risk in some deprived districts. This local complex planning cannot be addressed without a clear methodology. In this sense, HEATSAFE will address the most suitable ways to adapt these territories to these effects by developing key activities in Spain, Italy. Albania, Bulgaria and Greece, and with the aim of replicating project approach in the whole Mediterranean area. HEATSAFE will improve the prevention, mitigation and management of risks arising from increased frequency and intensity of extreme heat and heatwaves in the Mediterranean basin through the co-development of local action plans and the implementation of demonstrative pilot actions; complemented by a long-term strategy and opensource tools to establish heat vulnerability maps across the MED area.