SciTransfer
FOCCUS · Project

High-Precision Coastal Ocean Forecasting and Monitoring for the Blue Economy

environmentTestedTRL 5

Imagine having a high-definition weather map, but for the ocean's edge, from the deep sea all the way to the river mouths. It combines satellite views with underwater sensors to create a seamless digital picture of the coast. This helps people predict exactly what is happening in the water near the shore instead of guessing based on distant ocean data.

By the numbers
19
partners
11
countries involved
15
total deliverables
The business problem

What needed solving

Current ocean monitoring often lacks the resolution needed for coastal and estuarine zones, creating a gap between global ocean data and local shore needs. This makes it difficult for businesses to manage coastal risks and sustainable blue economy activities accurately.

The solution

What was built

A system for seamless coastal monitoring and forecasting. This includes new data fusion techniques combining Sentinel satellite data with in-situ observations and downscaling interfaces for CMEMS.

Audience

Who needs this

Port AuthoritiesOffshore Wind Farm OperatorsCoastal Engineering FirmsMarine Aquaculture CompaniesEnvironmental Protection Agencies
Business applications

Who can put this to work

Maritime Logistics
enterprise
Target: Port Authority

If you are a Port Authority dealing with unpredictable coastal currents and water levels — this project developed seamless numerical coastal prediction that provides fit-for-use forecasting from regional to near-shore scales. This allows for safer ship navigation and better berth management.

Environmental Services
any
Target: Coastal Protection Agency

If you are a Coastal Protection Agency dealing with erosion and natural hazards — this project developed new coastal products using Sentinel satellite data and in-situ observations. This enables more accurate monitoring of coastal zone resilience to climate change.

Aquaculture
SME
Target: Commercial Fish Farm

If you are a Commercial Fish Farm dealing with fluctuating water quality and biogeochemical changes — this project developed improved retrievals of Essential Ocean Variables. This helps in monitoring ocean health and ecosystems to prevent crop loss.

Frequently asked

Quick answers

What is the cost or pricing for using these coastal products?

Based on available project data, no specific pricing or cost structures are mentioned as the project focuses on improving the Copernicus Marine Environment Monitoring Service (CMEMS).

Is this technology ready for industrial scale deployment?

The project is currently demonstrating technical readiness and creating pathways for uptake by the wider user community, suggesting it is moving toward scale but is not yet fully deployed.

Who owns the IP and how is licensing handled?

Based on available project data, specific IP and licensing terms are not provided, though the results are intended for integration into the Copernicus service.

How does this integrate with existing monitoring systems?

It is designed to integrate Copernicus and Member State coastal services, providing interfaces for downscaling from CMEMS to the estuarine scale.

What is the timeline for the availability of these products?

The project period runs from 2024-01-01 to 2026-12-31, indicating that full results will be finalized by the end of 2026.

Consortium

Who built it

The consortium is heavily research-driven with 11 research organizations and 0 universities, balanced by 3 SMEs and 3 industrial partners. With a 16% industry ratio across 11 countries, the project has strong academic backing but limited direct commercial leadership, suggesting the primary goal is technical validation for the Copernicus service rather than immediate commercial productization.

How to reach the team

Contact HELMHOLTZ-ZENTRUM HEREON GMBH for technical inquiries regarding CMEMS integration.

Next steps

Talk to the team behind this work.

Contact SciTransfer to identify specific coastal data products applicable to your maritime operations.

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