The EuroGEOSec project (led by ARMINES) brings together a European consortium built from the core group of the team involved in the H2020 e-shape (EuroGEO Showcases: Applications powered by Europe) project and will collaborate with the Joint Research Centre Knowledge Center on Earth Observation (JRC-KCEO) to support the EuroGEO vision and to prepare the transition of the EuroGEO initiative into a sustainable endeavour, by setting-up a EuroGEO secretariat. The overarching goal of the EuroGEOSec project is to support the coordination of the EuroGEO initiative and develop a sustainability plan guiding its long-term operation. This will be achieved by establishing the EuroGEO Secretariat with the mission to (i) strengthen GEO-related coordination mechanisms at European and national levels, (ii) support increased innovation, space application development and reinforcement of the European space data ecosystem concept; (iii) foster international cooperation to help stimulate the market and promote European technology and services; (iv) contribute to the European Green Deal objectives and the European strategy for data (EU Data Spaces) by further deploying and exploiting the use of EO towards a strengthened Global Earth Observation System of Systems (GEOSS). The project delivers the definition, set-up, operation and ramp-up of the EuroGEO Secretariat serving the EuroGEO initiative and its ecosystem of actors, and developing support services and a sustainability strategy that will inform the long-term operation of the EuroGEO initiative. Project url website: www.eurogeosec.eu

AD4GD’s overall objective is to co-create and shape the European Green Deal Data Space as an open hub for FAIR data and standards-based services that support the key priorities of biodiversity, climate change, and pollution. The focus will be on interoperability concepts that bridge the semantic and technology gaps which currently prevent stakeholders and application domains from multi-disciplinary and multi-scale access to data, and which impede the exploitation of processing services, and processing platforms at different levels including Cloud, HPC and edge computing. This project will enable the combination and integration of data from remote sensing, established Virtual Research Environments and Research Infrastructures, Internet of Things (IoT), socio-economic data, INSPIRE and Citizen Science (CitSci) in an interoperable, scalable and reliable manner. This will facilitate integration by including semantic mappings to different standards and dominant models bridging domain- and data source-specific semantic concepts such as the Essential Variables framework (e.g. the GCOS Essential Climate Variables, the GEOBON Essential Biodiversity Variables), as well as applying machine learning and geospatial user feedback to ensure quality, reliability and trustworthiness of data and transforming spatial scales. The project will make data and services accessible to the EC Knowledge Centres, GEOSS portal, EOSC and other science services as applicable, ensuring the sustainability of the results, and will actively promote data accessibility for community stakeholders and citizen scientists. AD4GD will demonstrate and validate the approach in three pilots whose stakeholders include international organizations, scientists and researchers, citizens, decision makers (e.g. public authorities), and Earth observation (EO) solution developers. The pilots address selected Green Deal priority areas, including cross-domain components: Zero pollution, Biodiversity, and Climate Change.

SEADOTs (Social-Ecological Ocean Management Applications using Digital Ocean Twins) has the objective of advancing holistic, just and sustainable ocean management by bringing a predictive component for social-ecological aspects into comprehensive digital ocean twins (DOTs). These DOTs will combine digital twins of the ocean (DTO) with human activities in the ocean and combine socio-ecological and socio-economic data with ocean data, ecosystem data, and a variety of models. By creating and demonstrating applications in the Norwegian North Sea, the Southern North Sea and the Baltic Sea that address current challenges and developments and can simulate the intricate interactions between human activities and marine ecosystems, SEADOTs aims to facilitate and inform political decision making, marine spatial planning and adaptive management. SEADOTs ambition is to help safeguard ocean ecosystems, promote sustainable resource use, and enhance social and economic well-being. The project will leverage developments from ongoing Mission and Green Deal projects where partners are involved in, including the European Digital Twin projects Iliad and EDITO, OLAMUR and CLIMAREST and demonstrate Ocean Management Applications with Digital Ocean Twins on the EU Digital Twin Ocean (DTO) infrastructure as well as distributed platforms for socio-ecological, socio-economic and political endpoints. For that purpose will SEADOTs work with data acquisition and beyond the state of the art and the objective to provide spatially-explicit social-ecological data and data interoperability with geospatial ocean data also after the project period in suitable repositories, through stakeholder capacity building and through collaboration with the co-funded projects of this call. The SEADOTS consortium was built across scientific and technical excellence and is accompanied by an Advisory Board that spans marine spatial planning, political aspects, gaming and social science as well as Ocean Best Practices.

USAGE (Urban Data Space for Green Deal) aims to provide solutions and mechanisms for making city-level environmental and climate data available to everyone based on FAIR principles. USAGE will support the implementation of the European strategy for data and various European Green Deal priority actions at the level where climate change is mostly felt: cities and towns. USAGE will provide innovative governance mechanisms, consolidated arrangements, AI-based tools and data analytics to share, access and use city-level data from Earth Observation (EO), Internet of Things (IoT), authoritative and crowd sources, leveraging on standards for data and service interoperability. USAGE wants to become a decentralized infrastructure for trustworthy data collection, processing and exchange based on commonly agreed principles, facilitating the combination of heterogeneous data for policy analysis. USAGE will validate its solutions in four diverse pilot areas located in four different countries, focusing also on the reusability of the solutions in other urban areas. The consortium consists of 11 interdisciplinary partners from 5 European countries and, within the 3 years of activities, will also realize a long-term sustainability and growth strategy plan of project solutions.

Weather and climate extremes pose challenges for adaptation and mitigation policies as well as disaster risk management, emphasizing the value of Climate Services in supporting strategic decision-making. Today Climate Services can benefit from an unprecedented availability of data, in particular from the Copernicus Climate Change Service, and from recent advances in Artificial Intelligence (AI) to exploit the full potential of these data. The main objective of CLINT is the development of an AI framework composed of Machine Learning (ML) techniques and algorithms to process big climate datasets for improving Climate Science in the detection, causation and attribution of Extreme Events, including tropical cyclones, heatwaves and warm nights, and extreme droughts, along with compound events and concurrent extremes. Specifically, the framework will support (1) the detection of spatial and temporal patterns, and evolutions of climatological fields associated with Extreme Events, (2) the validation of the physically based nature of causality discovered by ML algorithms, and (3) the attribution of past and future Extreme Events to emissions of greenhouse gases and other anthropogenic forcing. The framework will also cover the quantification of the Extreme Events impacts on a variety of socio-economic sectors under historical, forecasted and projected climate conditions by developing innovative and sectorial AI-enhanced Climate Services. These will be demonstrated across different spatial scales, from the pan European scale to support EU policies addressing the Water-Energy-Food Nexus to the local scale in three types of Climate Change Hotspots. Finally, these services will be operationalized into Web Processing Services, according to most advanced open data and software standards by Climate Services Information Systems, and into a Demonstrator to facilitate the uptake of project results by public and private entities for research and Climate Services development.