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 email@example.com.
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.
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.
The digital topographic map layers produced by EMODnet do not only show the depth of water, they also indicate where surveys are sparse and confidence in data is low. Extending this analysis for more distant waters requires collaboration with countries outside the EU who have similar programmes.
JNCC produced a ‘Combined Map’ integrating data from field survey maps (mostly from the EUNIS habitat datasets collection) and the most recent version of the EMODnet Seabed Habitats broad-scale predictive habitat map available at that time. The Combined Map is a single flat layer without overlaps between habitats or component datasets, making it suitable and efficient for area calculations.
The EMODnet Chemistry portal has tested the application of INSPIRE Data Specifications to model nutrient data (MSFD Criterion D5C1 “Nutrients concentrations in water”) in the Mediterranean Sea. The use case builds on the Technical Guidelines related to Environmental Monitoring Facilities (EMF) and Oceanographic Geographical Features (OF) themes and to the Observations and Measurement (O&M) data model and was developed in collaboration with the SeaDataCloud and MEDCIS projects. The exercise demonstrated the completeness of EMODnet Chemistry metadata with respect to INSPIRE requirements and the feasibility to map EMODnet to INSPIRE models.
Undertaking a regional cumulative impact assessment requires a vast amount of spatial data. EUSeaMap v2016 was a key data source for defining ecosystem components in reporting on the 2011-2016 HELCOM ‘State of the Baltic Sea’.