European Marine Observation and Data Network (EMODnet)
Use Cases
Submit your Use Case
To understand the full benefits of EMODnet, users are kindly asked to describe how EMODnet supports them in their daily work and activities.
If you have developed an application using EMODnet products that you would like to share with us or if you use EMODnet data for other purposes, submit your use case by contacting secretariat@emodnet.ec.europa.eu.
The University of Southampton and its Southampton Marine and Maritime Institute is a major European centre for oceanography and marine geoscience. The Southampton Marine and Maritime Institute (SMMI) is the largest entity of its kind in the world, with expertise in everything from naval architecture to social sciences and work to address issues in the natural ocean environment (marine) and human use of the sea (maritime).
MPA Europe project (https://mpa-europe.eu/). The MPA Europe project is using a holistic range of measures of biodiversity from species to ecosystems, including habitats, to map the optimal areas for Marine Protected Areas implementation in Europe. Areas will be prioritised using systematic conservation planning software, which enables alternative weighting of variables and multiple scenarios and thus support wider marine spatial planning. OBIS (https://obis.org/) is responsible for WP3, which will generate species distribution models for at least half of all marine species in Europe to be utilized in the prioritization process.
The Flanders Marine Institute (VLIZ) is an autonomous Belgian non-profit organization which conducts interdisciplinary research on the ocean, seas, coast and estuaries. Its mission is to strengthen science-based knowledge and share it as widely as possible. VLIZ uses new technologies, such as robotics, and focuses on innovation and valorisation. Research areas include the ocean and seas, coasts and tidal systems as well as areas where Flemish marine scientists are or were active.
The Horizon Europe MSP4Bio project used EMODnet multidisciplinary marine in situ data, including from Bathymetry, Biology and many other thematic data, to inform an Ecological-Socio-Economic (ESE) management framework used for science-based MSP to safeguard and restore biodiversity in a coherent European MPA network.
University of Girona used EMODnet datasets in the Horizon EU project Blue-Paths, to develop a dashboard demonstrator with the goal to inform the wider audience about the geographic and social, ecological and economic characteristics of the high-potential areas for offshore wind energy in the Spanish sea space in a dynamic manner.
The University of Aegean is a partner in the MUSICA (Multiple Use of Space for Island Clean Autonomy) project, that developed a smart multi-usage of space (MUS) platform for the concurrent use of three types of renewable energy – wind, photovoltaic and wave – at small islands. The MUS also contributed to the advancement of a successfully tested multi-use platform (MUP), which was previously developed by the University of Aegean and the private company EcoWindWater. In the process of finding optimal siting areas for the MUP, MUSICA used EMODnet map services and data to highlight areas of potential constraints.
Croatian Geological Survey used EMODnet Geology, Bathymetry and Seabed Habitats data to develop the seabed substrate and geology maps within a project that aims to map the marine habitats of the coastal area of the Adriatic Sea up to a depth of 40 m and up to 200 m in protected areas.
SOCIB Dapp is a web based client application, developed by the SOCIB Data Centre, intended to display and download deployments data either from SOCIB or third party portals such as EMODnet and Copernicus Marine. Dapp provides additional features such as: Browsing and displaying any deployments made by SOCIB, creating customized maps with several deployments and WMS map layers.
The Met Office provides forecasts of the ocean properties for the European North West Shelf through the Copernicus - Marine Environment Monitoring Service. In 2018, the forecast resolution was upgraded from ~7 to ~1.5 km. Validation at the basin scale and using typical metrics with daily means penalises the high-resolution system and does not reflect the superior performance of the high-resolution system. High resolution observations in selected areas of the model domain were crucial to demonstrate the improvement of the finer resolution model.
