Each Dgital Twin (DT) is made up of data, a behavioral model, and an application that connects these components, ensuring that the outputs are relevant for the intended purpose. Multiple digital twins will collaborate to address complex biodiversity challenges.

The project distinguishes itself by developing the first biodiversity Digital Twin prototype, integrating advanced modeling, simulation, and prediction capabilities to investigate species interactions with their environment and provide insights into biodiversity changes, their causes, and the potential impacts of human intervention.

Objectives:

• Building and deploying prototype DTs corresponding to several topics (e.g. pollinator survival, citizen science for biodiversity monitoring, biodiversity dynamics in grassland habitats).
• Integrating the DTs with biodiversity research infrastructures that play a key role in facilitating access to biodiversity data.

Ensuring the interoperability of BioDT with Destination Earth, a flagship programme of the European Commission for constructing a digital twin of the Earth.

Link to the project

The project also targets achieving simulation speeds of up to five simulated years per day while reducing power consumption by 50% on Europe's pre-exascale supercomputers. Additionally, EERIE will develop innovative experimental protocols for mesoscale processes and produce actionable climate information to support national and international climate assessments, including contributions to the next IPCC report.

Objectives

• Make a leap forward in modelling and understanding the climate impacts of ocean mesoscale processes, including ocean eddies.
• Develop novel experimental designs, aiming to enrich the Coupled Model Intercomparison Project (CMIP) in support of future national and international climate change assessments.
• Halve the time and energy needed to produce climate information with the highest level of process fidelity.
• Increase the reliability of regional climate change attribution by developing improved estimates of background natural variability.
• Carry out frontier climate change projections.
• Produce actionable climate information.

Sustain and enhance European cooperation and leadership in climate sciences.

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Objectives

• Identify and Integrate Data: Locate and incorporate previously inaccessible marine biodiversity data into the DTO, improving data flow and accessibility
• Develop Biodiversity Component: Create and integrate the biological aspects of the DTO, including data flows, models, and algorithms for automated and harmonized data integration.
• Demonstrate Use Cases: Implement and showcase seven demonstrator use cases that apply new data flows within the DTO, validating the system's functionality and benefits for marine ecosystems.

Enhance Data Accessibility: Address challenges in the collection, harmonization, and analysis of marine biodiversity data to support continuous data streams into the DTO.#

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The EU-funded DT-GEO project is creating advanced digital twins to model Earth's systems and improve the prediction and assessment of geophysical extremes, such as earthquakes and tsunamis, using high-performance computing and real-time data from 13 key demonstration sites. This project advances early warning systems and hazard forecasting, pushing the boundaries of geophysical risk management.

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CATs Phase 2, starting mid-2024, will refine and operationalize Earth-system digital twins to improve Europe's response to extreme weather and climate change, enhancing simulation efficiency, scalability, and data access while leveraging AI and machine learning for better accuracy and interactivity.

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The AWI INSPIRES funded project, focuses on high-resolution simulations to evaluate the processes driving Antarctic and Southern Ocean warming, deep-water formation, and long-term climate feedbacks. Using advanced unstructured-mesh models and high-performance computing, the project will assess how regional climate systems respond to external forces like CO2 and tectonic changes, providing crucial insights for improving future climate models and contributing to IPCC frameworks.

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EFlows4HPC aims to deliver a workflow software stack and services that integrate HPC simulations, modelling, big data analytics, and machine learning for scientific and industrial applications. This software will enable the creation of adaptive workflows that efficiently use computing resources while incorporating innovative storage solutions. The project focuses on: digital twins for manufacturing, adaptive workflows for climate studies, and real-time modeling of natural disasters, advancing HPC accessibility and innovation.

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SEADOTs aims to enhance ocean management by integrating socio-ecological and socio-economic data into digital ocean twins, creating applications that simulate human-environment interactions in the North Sea and Baltic Sea. The project aims to simulate interactions between human activities and marine ecosystems, supporting better decision-making and marine spatial planning

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DTOTrack aims to create a digital twin of North Sea fauna by integrating advanced animal tracking technologies and existing telemetry infrastructure across eight European nations. This project will enhance marine research and management by providing continuous data on animal movement, supporting fisheries management and conservation efforts under key EU policies.

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"Digital Twins of the Ocean will bring together ocean data, models and digital information with those who are planning and regulating human ocean interactions. They will become an indispensable element of sustainable development of the ocean space" – Martin Visbeck

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FUTURO focuses on advancing the understanding and management of the tropical upwelling region in the Atlantic Ocean off West Africa. It will collaborate with international and West African partners to design and execute a one-year observational campaign from 2027-2029, aiming to enhance predictive capabilities and sustainable management of this vital area.

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EDITO-Model Lab will demonstrate the feasibility to connect and interoperate, on a common platform, a large variety of ocean and coastal numerical models, allowing for global, regional-to-coastal model configuration and the co-development of new simulations and scenarios for enhanced on-demand ocean forecasting and ocean climate prediction.

The project will complement the Copernicus Marine Service and will contribute to consolidate Destination Earth (DestinE).

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AQUARIUS stands out by integrating 57 diverse research infrastructures, uniting marine and freshwater ecosystems research for the first time. This project will provide researchers with access to a wide range of services, including research vessels, drones, satellites, and experimental facilities etc. AQUARIUS is essential to advancing the EU’s Mission to Restore our Ocean and Waters by 2030.

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LandSeaLot will link together in situ, model and earth observations (EO) and connect related communities, citizens and initiatives such as Copernicus, ESA, EEA, GEOSS, EMODnet and the European Digital Twin of the Ocean. Data generated in the Integration Labs will be made FAIR available via EMODnet and interoperability, and semantic solutions for existing, international data flows will be developed.

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ECOTWIN delivers innovative graph theoretic solutions, developed using a multi-actor approach with policy makers, local communities, marine and coastal industries and communities, to address the challenges of modelling marine socio-ecological systems and integrating these models into the emerging DT Ocean framework -making to support ocean health social prosperity and a thriving blue economy.

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interTwin is unique for its development of an interdisciplinary Digital Twin Engine (DTE), an open-source platform designed to standardize and integrate digital twin technologies across diverse scientific fields. Its innovative approach involves co-designing a versatile framework that supports advanced modelling and simulation needs in areas like high-energy physics and environmental monitoring, while ensuring interoperability and open standards.

Link to to the project in Cordis

The project aims to achieve cross-modal, data-sovereign information acquisition through the integration of mobility services. It seeks to simplify mobility data collection to enable clear insights for environmentally oriented and multimodal traffic management.

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A project by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research

The MarDATA Hackathon on São Vicente, Cape Verde, brought together researchers to unlock the potential of valuable marine data from one of the world's most productive ecosystems. This event stands out for its collaboration between MarDATA PhD students and WASCAL Master's students in Climate Change & Marine Sciences, aiming to develop solutions that enhance the value of ocean data for both local stakeholders and the global scientific community.

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A project by the Helmholtz-Zentrum Hereon