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SCEWERO: STRENGTHENING THE RESEARCH CAPACITIES FOR EXTREME WEATHER EVENTS IN ROMANIA

The SCEWERO project will be developed by a consortium of 5 organizations from 4 countries: Babeș-Bolyai University (UBB), a research institution located in Romania as a widening country and acting as coordinator, three top-class leading partners, Fondazione Centro Euro-Mediterraneo Sui Cambiamenti Climatici (IT), Universiteit Antwerpen (BE), and Justus-Liebig-Universität Giessen (DE), and a private partner (SME), Indeco Soft (RO) aiming to improve the excellence capacity in research, to raise the scientific reputation, research profile and attractiveness through networking, and strengthening research management capacity and administrative skills of the UBB team.

SD-WISHEES | Supporting and Developing WIdening Strategies to tackle Hydroclimatic Extreme Events: impacts and Sustainable solutions for cultural heritage

SD-WISHEES actively promotes and supports the collaboration between JPI Climate, Water JPI and national research and innovation funding members to address together the protection of cultural heritage in Europe and beyond. With this purpose, both JPIs will support the implementation of multi-annual joint activities with partners from associated and widening countries and international parties to better understand hydroclimatic extreme events and identify the best available coping solutions.

SD4SP: Stratospheric Dynamics for Seasonal Prediction

Seasonal forecasting is a field with enormous potential influence in different socio-economic sectors, such as water resources, agriculture, health, and energy. Yet, surface climate conditions in Europe still represent a hurdle to formulate skillful seasonal predictions. 

SDGs-EYES – Sustainable Development Goals – Enhanced monitoring through the family of copErnicus Services

The UN 2030 Agenda for Sustainable Development is a data driven agenda, and the use of Earth Observation (EO) can make the SDG indicators’ monitoring and reporting technically and financially viable, and comparable across countries.  SDGs-EYES aims to boost the European capacity for monitoring the SDGs based on Copernicus, building a portfolio of decision-making tools to monitor those SDG indicators related to the environment from an inter-sectoral perspective, aligning with the EU Green Deal priorities and challenges. SDGs-EYES will establish an integrated scientific, technological and user engagement framework overcoming the knowledge and technical barriers that prevent the exploitation, combination and cross-feeding of data and tools from the Copernicus’s six core Services, its space-based and in-situ components, and other platforms and portals.  SDGs-EYES considers three interconnected SDGs, on climate (SDG13), ocean (SDG14) and land (SDG15), to demonstrate through four Pilots the Copernicus potential for monitoring six indicators making part of the EU and national assessments: GHG emissions, temperature deviation, ocean acidification, marine eutrophication, forest cover change and soil erosion. Although focusing on the biosphere, these indicators are linked to other SDGs on socio-economic and (geo)political factors (e.g., human health, resources security, poverty, conflicts, displacements). Thus, an additional cross-goals indicator and Pilot will focus on vulnerable communities under cumulative climate extreme hazards.  SDGs-EYES seeks to combine the science-informed (top-down) approach with a stakeholder-driven (bottom-up) approach to transfer scientific outcomes into easy-to-understand and easy-to-use actionable information in the context of SDG indicators’ assessment. Decision-making tools delivered by Pilots will be co-designed with users,

SEA-LIMITHS: Sea Level Rise Impacts on Italian Hospitality

SEA-LIMITHS is a Marie Skłodowska-Curie Postdoctoral Fellowship Project. The aim of this project is to investigate the impacts and economic consequences of sea level rise on sandy beaches and beach hospitality losses owing to beach erosion and flooding in Italy.

SICAP: Sea Ice model Calibration for improved Artic Predictions

The Sea Ice model Calibration for improved Arctic Predictions (SICAP) project aims to develop and deliver an innovative calibration tool to be applied to sea ice models, to improve the quality of the Arctic sea ice predictions and regional/global reanalyses.

SIM: Sistema Avanzato ed Integrato di Monitoraggio e Previsione

The project, part of Italy’s National Recovery and Resilience Plan (PNRR), aims to build an advanced and integrated monitoring and forecasting system to enhance predictive capabilities regarding the effects of climate change and protect the Italian territory and water resources from natural and anthropogenic risks. The SIM (Sistema Avanzato ed Integrato di Monitoraggio e Previsione) is a long-term surveillance system designed to enable the implementation of preventive measures, such as scheduled maintenance of the territory and infrastructures, marine and coastal pollution monitoring and optimized resource and emergency management. By integrating real-time data collection and predictive modeling, the system enhances the ability to detect environmental threats in advance, mitigate pollution risks in marine, coastal and land areas and support sustainable management strategies for land and water resources. The project involves six vertical applications, including Marine and Coastal Pollution Monitoring (Vertical 3), which focuses on surveillance of marine and coastal water quality to prevent and mitigate environmental pollution. Each Vertical is split in different Case Uses (CU) or applications. CMCC is involved in CU 3.2, 3.3 and 3.5 of Vertical 3.

Skills4EOSC | Skills for the European Open Science Commons: Creating a Training Ecosystem for Open and FAIR Science

Skills4EOSC brings together leading experiences of national, regional, institutional, and thematic Open Science (OS) and Data Competence Centres from 18 European countries with the goal of unifying the current training landscape into a common and trusted pan-European ecosystem, in order to accelerate the upskilling of European researchers and data professionals in the field of FAIR and Open Data, intensive-data science and Scientific Data Management. Competence Centres (CC) are seen as centres of gravity of OS and EOSC activities in their countries. These entities can either be established national initiatives (as is the case of ICDI in Italy) or initiatives under establishment (e.g., Austria, Greece, and the Nordic countries) or organizations which have the leading or mandated contribution to the OS activities nationally. CCs pool the expertise available within research institutions, universities, and thematic and cross-discipline research infrastructures. They offer training and support, empowerment, lifelong learning, professionalization, and resources to a variety of stakeholders, including not only researchers and data stewards, but also funders, decision makers, civil servants, and industry. Thanks to their position at the heart of the above-described multi-stakeholder landscape, the CCs represented by the Skills4EOSC partners play a pivotal role in national plans for Open Science and in the interaction with scientific communities. They also have close access to policy makers and the related funding streams. The Skills4EOSC project will leverage this reference role to establish a pan-European network of CCs on OS and data, coordinating the work done at the national level to upskill professionals in this

SMOOTH – Sustainable Finance for a Smooth Low-Carbon Transition

The threat of climate change calls for a rapid transition to a low-carbon society. Aligning the financial system with climate stability is a crucial prerequisite for achieving decarbonization while preserving economic prosperity and societal welfare. However, we currently lack a comprehensive understanding of how the institutional and behavioural features of financial systems may affect the speed and shape of the low-carbon transition. Additionally, the coevolving socioeconomic, financial and environmental repercussions of such a large-scale societal transformation have not yet been systematically analyzed. The SMOOTH project will lay the foundations of an innovative macro-financial analytical framework to provide essential insights on the links between financial systems and decarbonization dynamics.

Space It Up!

SPACE IT UP is a program aiming at enhancing the space technology of Italy to be used for space exploration and exploitation for the benefit of planet Earth and the entire humankind. An extended project partnership will foster synergies between academy, industry, and research centres to have a strong impact on the Italian space sector and to pursuit the following main objectives: -Promote innovative and extend fundamental knowledge; -Fostering a sustainable future; -Ensure long-term human permanence in extraterrestrial space; -Strengthening the “Ecosystem” space in Italy.

SPARCCLE – Socioeconomic Pathways, Adaptation and Resilience to Changing CLimate in Europe

The SPARCCLE is a project funded by the European Union’s Horizon Europe program, and it is focused on delivering adaptation and mitigation strategies for a just and climate-resilient Europe. The project aims to support policymaking for action on the socioeconomic risks of climate change, establishing new methodological frameworks to link knowledge across disciplines from research communities working on climate impacts and risks in Europe. Bottom-up assessments of multidimensional climate vulnerabilities, risks, damages, and adaptation will be combined with top-down integrated assessment frameworks (IAFs) and leading multi-sectoral macroeconomic models.

Study on the macro-economic impacts of the climate transition

The study comprises three parts: The first part aims at deepening the understanding of the socio-economic impacts of the transition to climate neutral economies. In particular, the study focuses on the implications of potential frictions and challenges in the socio-economic transformation process and on the potential gains and opportunities of the transition to climate neutrality. The second part of the study should quantify the investment needs for adaptation to climate change across all EU Member States. And the third part brings together the work undertaken under the first two parts to make a preliminary assessment of the macro-economic impacts of the combined investment needs on mitigation and adaptation in a 2050 horizon.

SWITCH – Switching European food systems for a just, healthy and sustainable dietary transition through knowledge and innovation

The transition towards sustainable, safe, healthy and inclusive food systems, from farm to fork, has become a key priority for EU policies, in line with the UN goals sustainable development goals (SDGs). The biggest challenge at present is represented by the limited knowledge of influence dietary choices that limits large scale adoption of healthy and sustainable diets. The ambition of the SWITCH project is to accelerate the behavioral shift of European citizens towards more sustainable and healthy patterns, using Research and Innovation (R&I) as a driver to increase knowledge, accessibility and facilitation strategies at all level of the food systems, involving a multi-actor systemic approach and a co-creation strategy to delineate solutions fair to consumers that support virtuous behavior throughout the whole food chain. For a successful large scale adoption of healthy dietary behavior, all the actors of the food systems need to be engaged, connected and valorized.

The HuT – The Human-Tech Nexus. Building a Safe Haven to cope with Climate Extremes

The HuT will employ innovative disaster risk reduction solutions, accounting for the potential variations induced by climate change. This will involve integrating and leveraging best practices and successful multi-disciplinary experiences that have been recently developed within various territorial contexts by leading European research groups, institutions, and stakeholders, to deal with extreme climate events. The project’s main ambition beyond the state of the art is to promote the “best set” of trans-disciplinary risk management tools and approaches that could be adopted and used extensively across Europe, in as many situations as possible. 

TRANSCEND – Transformational and Robust AdaptatioN to water Scarcity and ClimatE chaNge under Deep uncertainty

TRANSCEND is a project funded by HORIZON Innovation Actions whose main area of research is the identification of Transformational Adaptation Policies (TAP) to water scarcity. TAP will be implemented in 7 labs: Júcar River Basin (RB) (Spain); Reno RB (Italy); Tympaki RB (Greece); Nitra RB (Slovakia); Caplina-Mauri-Desaguadero RB (Peru, Chile & Bolivia); Orontes RB (Lebanon, Syria & Turkey); and Mahanadi RB (Indian states of Chhattisgarh & Odisha). TRANSCEND will leverage this diverse set of demonstrators to initiate adoption of the ecosystem of innovation in 8+ inspiration labs, train 160+ transformation agents, and mainstream uncertainty analysis in key national and European Green Deal strategies. This will provide the knowledge and tools to catalyze robust and systemic transformations to water scarcity and climate change globally, with a clear impact pathway towards TAP adoption in 100+ basins by 2030.

TRANSFORMAR – Accelerating and upscaling transformational adaptation in Europe: demonstration of water-related innovation packages

TransformAr aims to develop and demonstrate solutions and pathways to achieve rapid and far-reaching transformational adaptation across the EU. Cross-sectoral and multi-scale innovation packages, as the combination of solutions and pathways, will support regions and communities in their societal transformation towards climate change resilience. Transformational adaptation (TA) will be triggered by a co-innovation process that will co-create transformational adaptation pathways for six demonstrator regions and communities in Europe.

UPTAKE – Bridging current knowledge gaps to enable the UPTAKE of carbon dioxide removal methods

UPTAKE aims to facilitate the sustainable upscaling of carbon dioxide removal (CDR) methods by developing a set of robust strategies through technical, theoretical, and practical analysis accompanied by interactive dialogue within a CDR stakeholder forum. As a result, UPTAKE will develop a harmonised, comprehensive, inclusive, integrated, and transparent CDR knowledge inventory to evaluate a wide range of CDR technologies and methods, quantifying their national, European, and global costs, effectiveness, and removal potential as well as risks, constraints, and side-effects at different scales, and their prospects of technological progress. The UPTAKE approach will allow the assessment of geographical, sectoral, socioeconomic, demographic, and temporal trade-offs, co-benefits, and opportunities emerging from portfolios of different CDR methods. The enhanced socio-technical understanding of CDR methods will feed into an ensemble of state-of-the-art integrated assessment models (IAMs), which will help improve the integration of CDR methods given the EU policy objectives set for 2030, 2050, and beyond climate neutrality. UPTAKE will assess CDR governance and policy frameworks considering social acceptance, accountability, monitoring, and regulations for sustainable CDR rollout at scale. As a result, UPTAKE will generate an open and interactive CDR roadmap explorer to investigate strategies that are resilient to risks of failure and disruption, and minimise adverse impacts on society, economy, and the environment, aiming for a just, inclusive, and sustainable transition.

VALORADA – Validated Local Risk Actionable Data for Adaptation

The EU aims to transforming 150 European regions into sustainable and climate resilient regions by 2030. VALORADA contributes to addressing this challenge by co-developing tested FAIR customizable data-manipulation tools to access available climate datasets and to enable the sharing, community validation and use of locally socioeconomic, demographic and Earth-Observation data. In a rigorous transdisciplinary approach, the respective risks of climate change are analyzed in five demonstrators in Europe with the local actors. Data required for the analysis are compiled from the various already existing repositories (e.g., Climate Data Store) and locally sourced non-climate data catalogues processed by local communities and regions, prototype analysis tools developed in an iterative process, tested by the actors and subsequently improved.

WeatherGenerator

The project will build the WeatherGenerator – the world’s best generative Foundation Model of the Earth system – that will serve as a new Digital Twin for Destination Earth. The WeatherGenerator will be based on representation learning and create a general and versatile tool that models the dynamics of the Earth system based on a large variety of Earth system data. The WeatherGenerator will be task-independent and will improve results for a wide range of machine learning applications when compared to task specific machine learning tools. It will also be more resilient for climate applications when the underlying data distributions are changing, and it will lead to a significant reduction in computational costs and faster turnaround times. To achieve this, the project will: (1) Collect and use the most important datasets of Earth system science including data from Digital Twins of Destination Earth, selected observations, analysis and reanalysis datasets, and output of conventional Earth system models. (2) Build the WeatherGenerator as a novel representation learning- based machine learning tool that exploits the full potential of Europe’s largest supercomputers. (3) Engage with the wider community via services and apply the WeatherGenerator for 22 selected applications that can be integrated into the Destination Earth framework. The applications include global and local predictions, local downscaling, data assimilation, model post-processing, and impact applications in the domains of renewable energy, water, health and food. The project consortium that will build the WeatherGenerator consists of experts in machine learning, supercomputing and Earth system sciences, and includes

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