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 firstname.lastname@example.org.
EMODnet Chemistry delivered the first pan-European Marine Litter database. It has been used to compute EU Marine Litter quantitative Baseline, representing a fundamental step of the MSFD Implementation Strategy to provide comparable assessments and to monitor the effectiveness of litter-reduction measures.
Wildsea Europe Route offers tourists access to routes connecting European coastal destinations that allow them to learn about marine wildlife and participate actively in conservation efforts; including the collection and propagation of marine biodiversity data. “Citizen science” activities such as these are increasingly being recognised as an important source of information with the potential to contribute to our knowledge of the sea and increase participants’ sense of responsibility and ownership of the marine environment.
Leveraging on the EMODnet radar data, PM_TEN, an Italian, technology-transfer company active in the Environmental Physics field, has released a new service for its customers (as part of an environmental impact assessment package) which uses EMODnet radar data to integrate the output of numerical circulation models and provide a solid and validated input to oil spill models.
EMODnet Bathymetry data are used by most EMODnet-Geology partners to describe and analyse the seabed. Coupled to data products on Seabed Substrate and Lithostratigraphy, geomorphology is being mapped both transnationally and at large spatial scales.
Changes in coastal sea level caused by the combined effect of surface winds and air pressure have the potential to cause widespread coastal flooding, damage to infrastructure and loss of life.
The low-lying lands bordering the North Sea are particularly vulnerable as was seen most notably in the catastrophic events of 1953. It is expected that climate change will increase the frequency and severity of such events.
With data of EMODnet Physics portal, DFD is validating the wave parameter of significant wave height HS (which is derived from satellite imagery e.g., from Sentinel-1) at DFD’s ground station in Neustrelitz. Currently the validation chain for SAR derived wind and wave products based on the EMODnet measurement station network is being developed. First results show the benefit for the service validation in general.
EMODnet Physics has developed a user-friendly interface for the Copernicus Marine Environment Monitoring Service (CMEMS) In Situ Thematic Assembly Centre to improve the viewing service developed for outreach and promotion activities.
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.
EMODnet meets Dr Thijs Lanckriet, Advisor at International Marine and Dredging Consultants (IMDC). International Marine and Dredging Consultants (IMDC) is a company that provides expert advice for the sustainable management and development of our natural waters for public authorities, engineering offices and contractors on a worldwide base. We offer services in several areas...
HeraSpace used EMODnet Human Activities as a data source to feed their neural machine-learning algorithm, which has been designed within the European Space Agency Business Centre in Madrid. The goal is to avoid that vessels might fish in vulnerable or restricted areas, by detecting their coordinates and excluding them from the predictions.