The European Ocean Observing System (EOOS) Technology Forum on 22-24 March 2022 brought together experts in ocean observation, marine technology, marine research and development and others for a forward looking workshop on the technologies required to fulfill the goals of the UN Decade for Ocean Science and Sustainable Development.
On 15-17 March 2022, EMODnet attended Oceanology International in London bringing together over 8,000 attendees and 500+ exhibitors from key players in maritime industry: businesses, academics and government. The EMODnet Secretariat, Coordinators and partners were engaged in posters, panels, podcasts, interactive seminars and much more. We look forward to sharing with you more outcomes in the coming months!
Marine Litter Manager (MLM) is a Python data formatting tool for Linux and Windows that has been developed to generate EMODnet beach litter and seafloor trawlings litter formats. This is done following the EMODnet Chemistry guidelines. EMODnet Chemistry has recently made available the User Manual online through its thematic web portal.
On 17 February 2022 EMODnet experts joined the Copernicus Marine 2.0 kick-off meeting that set the course for the Copernicus Marine workplan 2022-2028. Kate Larkin, Deputy Head EMODnet Secretariat spoke in a Panel on partnerships across Copernicus service and with EMODnet, noting that EMODnet is a proud collaborator with Copernicus which includes partnerships at multiple operational and coordination levels, and that EMODnet together with Copernicus Marine are key EU data services delivering...
The latest OSPAR Threatened and/or Declining Habitats dataset (version 2020) is now available to view, download and access as a web service via the EMODnet Seabed Habitats portal. This dataset comprises point and polygon data and shows the distribution of habitats on the OSPAR list of threatened and/or declining species and habitats within the North-east Atlantic.
During the Blue-Cloud Hackathon, from 7 to 9 February 2022, the EutroWarn team decided to use EMODnet Chemistry data to propose the development of early warning systems for possible severe eutrophication events.