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.
The in situ data and wave nowcast products provided by EMODnet Physics and Data ingestion are useful tools for Outdoor Portofino, a company that promotes sport tourism and environmental education, to safely plan activities and promote sustainability for eco-friendly tourism. The company offers a wide package of lessons, tour guides and renting for outdoor activities and promotes marine conservation projects.
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.
It is not an easy task for a met-ocean data user to clearly understand which data have been used in the calibration / validation phase of the hindcast database, the use of EMODnet Physics as the main source for observed marine data collection is highlighted in the description of the DHI’s MWM product.
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 University of Ghana deployed a wave rider buoy near the Cape Verde islands for collection of in-situ data on ocean parameters such as wave height and sea surface temperature for validation purposes. In order to make this data available to the global scientific community, collaboration was established with EMODnet Physics to host this data on their distribution platform. The impact of this collaboration has been tremendous, as the data is made easily accessible to both African and European partner institutions, as well as other users.
SINDBAD+, is a project co-funded by the European Commission (POR FESR 2014-2020), that aims at providing a service that can predict weather conditions and analyse its consequences on the navigation depending on the characteristics of the boat such as length, width and depth. The service targets luxury and leisure boaters. The SINDBAD partners use EMODnet Physics and EMODnet Bathymetry to initiate and validate data forecast models.
The challenge of the EuskOOS operational oceanography system of the Basque coast is to disseminate the marine data collected from the Basque Country making them part of global efforts. Instead of building the system from scratch, EuskOOS decided to reuse the widget made available by EMODnet Physics such as the data products and the map sharing service to build its regional operational oceanography system. EuskOOS is also now one of the EMODnet contributors, providing data of the coastal observing system into the European Marine Observation and Data Network.
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.