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Energy, Climate change, Environment

Physics

Physics   
27 Feb 2022
Training and technical assistance for timely improving the National Institute of Oceanography and Applied Geophysics (OGS) near real-time data management system

With over 300,000 water column profiles, in both coastal and deep sea areas, the National Oceanographic Data Centre at OGS manages the most comprehensive marine data storage in Italy. The multidisciplinary  archive includes data since 1909 up to now. It ranges  from physics to chemistry, from biology and geology to meteorology. Data are mainly collected by Italian institutions within the Mediterranean Sea basin, but also by other countries within neighbouring sea basins. Near real-time data are consistently integrated into the historical archive.


Physics   
27 Feb 2022
Support to the OceanGliders component of GOOS

One of the main goals of OceanGliders, as part of GOOS, is to monitor and promote the activity of the glider observing network. The goal is not to provide data, but to document and give guidance on how to share someone’s glider activity, in order to raise their visibility and the visibility of gliders as whole, as concerns long-term sustained observing for societal benefit.


Physics   
27 Feb 2022
Glider Mission Planning with Historical Data

CSCS carries out glider missions all over the world. Gliders are small autonomous underwater vehicles that use changes in displacement to change buoyancy, and internal mass movements to attain pitch and roll movements. Coordinated by an on-board flight computer, this slow but very efficient profiling device collects data as it descends and ascends, sending the results and receiving commands every few hours when at the surface for many months at a time. 


Physics   
18 Mar 2021
EMODnet Physics’ integrated wind, wave and sea level data supports Coastal Infrastructure Risks and Safety Management in South Italy [GRISIS research project]

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.


Physics   
04 Mar 2021
EMODnet-Physics a win-win cooperation with OceanOPS to improve performance monitoring for Ocean Observing Platforms, data and information systems

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.


Data Ingestion   
18 Sep 2020
EMODnet Physics & Data ingestion supporting outdoor activity planning and eco-friendly tourism

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.


Physics   
15 Oct 2020
EMODnet Physics supporting Berring Data Collective start-up inspiration

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.


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