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).
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.
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.
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.
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:
“Temperature data is absolutely critical to target specific species, especially with permit restrictions on by catch… It is not one degree, but a small fraction of a degree change in bottom temperature that completely changes a lobster’s behaviour.”
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 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.
In order to promote a harmonized approach to the evaluation of quality of data of contaminants in the ADRION region, a subset of EMODnet Chemistry data were analyzed to identify measurement units used by the different laboratories, matrix characteristics, concentration ranges as well as completeness of required metadata. According to the results, a common protocol and statistical approach to assess Quality Control of data of contaminants in the marine environment will be proposed and shared within HarmoNIA as well as within EMODnet Chemistry partnerships to improve data quality and fitness for use.
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 EMODnet Human Activities portal has become a vital tool for C2Wind, a Danish company working in th ewind industry. Wind farm and hydrocarbon extraction datasets are the most commonly explored datasets, identifying locations of already existing structures. Additional datasets on occasion are surveyed to provide the full extent of human activities. This crucial information is used in the preliminary phases of projects, determining areas of interest for the development of wind farm projects.