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.
Wind, wave and sea level data are valuable sources under the GRISIS multidisciplinary and holistic analysis of natural risks. EMODnet Physics is making available aggregated and easy to use products that can be easily machine-to-machine integrated into the innovative multi-risk technological platform for management and mitigation of multiple risks that GRISIS project is developing in order to build resilence plans and infrastructure in South Italy.
In close collaboration with OceanOPS, EMODnet Physics is connecting multiple data sources with the OceanOPS metadata repository thanks to the unique identification system managed by OceanOPS. This is automatically reducing the duplication issues related to multi data sources and increasing the quality of the information system developed by EMODnet Physics. At the same time, EMODnet Physics is connecting OceanOPS to networks that are not yet under its radar to continuously improve the monitoring of the Ocean Observing systems operating in the global ocean.
The European Commission (EC) supports policy development and implementation within the EU, working to support the EU’s framework for marine environmental protection. The Commission is also responsible for ensuring that member States apply EU environmental law correctly, helping them to comply with agreed legislation, as well as following up on complaints from citizens and non-governmental organisations.
Outcomes: Users were able to apply a demonstrator tool able to map the Risks of Cumulative Effects (RCE) of different pressures, using benthic habitats within France as an example.
How EMODnet Seabed Habitats helped the user: Coverage of benthic habitats was sourced for the entire French Exclusive Economic Zone.
Assist in Gravitation and Instrumentation (AGI) srl., was created as a spin-off of the Italian National Institute for Astrophysics (INAF). They recently developed the OS‑IS®(Ocean Seismic – Integrated Solution) technology, which is based on high sensitivity accelerometers to measure the sea-state (waves significant height and period) from inshore land.
This study was published by a group of authors, including representatives from a range of universities and research organisations. The lead author is the University Technology Sydney’s fish ecology lab, which aims to provide novel research to inform on the sustainability of the oceans and their fish populations. They actively engage in public debate on a wide range of issues affecting the marine environment, and also act as a hub for student research training. Their studie
The Marine Strategy Framework Directive (MSFD, 2008/56/EC) requires European threshold values (TVs) for all descriptors to be defined. In particular, for marine litter (descriptor 10), the MSFD Technical Group on Marine Litter (TG ML) decided that coastline macro litter, commonly referred as beach litter, would be the first marine litter issue to be faced.
The conservation or the achievement of the Good Environmental Status (GES) is a priority for any environmental policy mechanism of both EU and non-EU countries. Coherent data management and quality control are fundamental whenever data from different sources are required as in the case of the assessment of environmental status at regional or sub-regional scale sensu Marine Strategy Framework Directive (MSFD).
Despite fishes’ well documented strong sensitivity to temperature and other physical ocean parameters, modelling these shifts has proven difficult. A key issue is the scarcity of temperature data at depth, where fish usually are. As stated by Captain Lawrence Moffet, F/V Matt & Patt:
Berring Data Collective (BDC) is a start-up dedicated to ocean observation via collaboration with fishing vessels. Fishing gears such as nets and traps make an ideal platform for compact IoT sensors. When the gears are let down to the bottom and pulled back up with fish, sensors that are along for the ride collect water column profile data. When the net surface data is automatically sent onto ocean data users in near real time.
