The project delivers:
High-resolution ocean, wave, ice, and ecosystem models spanning short-term operations to long-term (50-year) climate scenarios.
Tools for offshore wind “What-If” scenarios, including wake and lee effects, climate change impacts, cumulative ecosystem pressures, and multi-use interactions.
AI-based downscaling, forecasting, and data–simulation fusion to improve accuracy near wind farms.
A dynamic data viewer and stakeholder-oriented products co-designed with the offshore wind industry and environmental agencies.
DTO4OWE focuses on five key areas in the Baltic and North Sea basins, each representing diverse environmental conditions and offshore wind development stages. The resulting tools will support smarter site planning, safer operations, improved environmental assessments, and more sustainable use of marine space. All applications are upscalable to other European regions and compatible with EDITO, Destination Earth, and EMODnet infrastructures.
By combining advanced modelling, new observations, remote sensing, AI, and stakeholder co-creation, DTO4OWE contributes to the EU Green Deal, the Mission “Restore our Ocean and Waters by 2030,” and the UN Ocean Decade.





