Imagine having a high-tech digital mirror of the entire ocean that updates in real-time. Instead of searching through different databases, this project puts all the ocean's maps, temperatures, and currents into one giant digital library. It allows users to run 'what-if' simulations to see how the ocean might change before making real-world decisions.
Ocean data is currently fragmented across different services, making it expensive and technically difficult for businesses to build accurate predictive models for maritime operations.
A public cloud infrastructure (EDITO-Infra) that integrates Copernicus and EMODnet data. It includes a public integrated viewer and specific demonstrators for aquaculture, fisheries, and global modeling.
If you are a farm operator dealing with unpredictable water quality and temperature shifts — this project developed a demonstrator for aquaculture that provides predictive ocean data to optimize crop health and feeding schedules.
If you are a fleet manager dealing with inefficient routing due to changing sea conditions — this project developed a public integrated viewer that combines Copernicus and EMODnet data to improve navigation and fuel efficiency.
If you are a fishing company dealing with declining yields and poor site selection — this project developed a demonstrator for fisheries planning to help identify the best fishing zones based on real-time ocean models.
Based on available project data, the platform is described as a 'public infrastructure' providing 'public access' to open ocean observation datasets, suggesting it is designed as an open-access resource rather than a paid product.
Yes, the infrastructure was specifically selected to meet scalability and availability requirements using Cloud, GPU, and HPC capabilities to support large-scale ocean models.
The project focuses on 'open ocean observation datasets' and uses open standards like OGC STAC and REST API to ensure data is accessible and collaborative.
Integration is handled via standard APIs including REST, JSON, and S3 APIs, allowing businesses to plug the data directly into their own digital tools.
The project period runs from 2022-10-01 to 2025-02-28, with 'pre-operational' viewers listed as deliverables.
The consortium is highly concentrated, consisting of only 2 research partners from Belgium and France. While it lacks direct industrial partners (0% industry ratio), it is led by Mercator Ocean and VLIZ, who manage the massive Copernicus Marine Service and EMODnet, meaning the project has direct access to the EU's primary ocean data streams.
Contact Mercator Ocean International regarding the EDITO-Infra platform access.
Contact us to find the right API integration partner for your maritime data needs.
