The lagoon system Carmen-Pajonal-Machona is located in the Gulf of Mexico and has an area of 190 km2. Anthropogenic change, mainly due to oil extraction, has changed the hydrodynamic, morphological and ecological characteristics of the lagoon system. Other causes of alteration are: agricultural development, deforestation and industrial development. In addition to these problems, which already make the system vulnerable, there are further problems due to the impact of climate change. The project aims at designing adaptation measures to climate change, which will be managed by local communities.

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The TESSA project will develop a set of products and services for Situational Sea Awareness (SSA) based on new operational oceanography environmental data integrated into advanced technological platforms for use by end users in the maritime sector, tourism and environmental protection.

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The THRAC3E project is structured around nine interlinked Tasks designed to deliver a comprehensive, regionally disaggregated carbon cycle assessment framework. The scientific approach integrates novel Earth observation (EO) dataset development, process-based and data-driven modelling, benchmarking, and low-latency carbon monitoring across three key regions: Europe, Africa, and Southeast Asia.

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THRIVE aims to deliver a systemic step change in citizen science for biodiversity and ecosystem observation across Europe. By harmonising tools, data flows and methodologies, building capacity and engaging diverse communities, THRIVE moves beyond fragmented efforts toward a coordinated, scalable and policy-relevant monitoring system. The project embeds citizen science data into governance frameworks, empowering citizens and strengthening evidence-based decision-making to tackle biodiversity loss, ecosystem degradation and climate change. At its core, THRIVE integrates nature connectedness as a unifying principle, fostering trust, collaboration, and shared responsibility among stakeholders. Ultimately, it transforms diverse actors into active stewards of nature, united by collective values and a common commitment to safeguarding Europe’s natural heritage.

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The full-size project objective is to support the implementation of the ICZM Protocol in the Mediterranean through development of region wide coordination mechanisms and tools to address climate variability and change in the Region. This will be achieved through implementation of four components: Component 1 : regional climate variability monitoring programme developed; Component 2 : knowledge basses strengthened; Component 3 : Strengthened partnerships, capacity and exchange support the implementation of the ICZM protocol and dissemination of project experiences and lessons; Component 4 : Project Management.

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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.

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to deepen the knowledges related to the impacts of climatic changes on the Mediterranean marine environment by focusing on sedimentary processes, physical processes, biogeochemical cycles (role of the Mediterranean basin in the global cycle of C), biodiversity.

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The WASSERMed project will analyse, in a multi-discipliary way, ongoing and future climate induced changes in hydrological budgets and extremes in southern Europe, North Africa and the Middle East under the frame of threats to national and human security.

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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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Wat-Ener-Cast will provide an easy access to high quality forecasts (predictions and scenarios) suited in risk assessment dashboards for operational decisions.

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