Open data & software

Ocean Waves and Temperature Monitoring System deployed offshore Sturla beach.

The monitoring buoy consist of a Directional Wave Spectra Barometer Drifter (DWSBD) provided by the Lagrangian Drifter Laboratory of the Scripps Institution of Oceanography.

Deployment of the instruments has been made possible by the NRRP project RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).

This dataset provides bias-adjusted wave data for 15 buoy locations along the Italian coastline, together with bias-corrected historical and future wave projections. The dataset includes corrections applied to multiple reanalysis and model sources—ERA5, CMEMS, MeteOcean-UniGe 10 km regular grid, and MeteOcean-UniGe unstructured grid.

MeteOcean wave climate and extremes statistics in the Mediterranean Sea.

The dataset contains statistics for significant wave height (Hs), mean wave period (Tm), peak wave period (Tp) and mean wave direction (θm) for Hindcast (1979-2005) and a multi-model ensemble of 17 EURO-CORDEX GCM-RCMs projections for the following periods: Baseline (1979-2005), Mid-century (2034-2060) for RCP 8.5, and End-of-century (2074-2100) for RCP 8.5.

MeteOcean 2D wave spectra statistics in the Mediterranean Sea.

The dataset contains statistics for bias-adjusted 2D wave spectra for a multi-model ensemble of 17 EURO-CORDEX GCM-RCMs projections for the following periods: Baseline (1979-2005), Mid-century (2034-2060) for RCP 8.5, and End-of-century (2074-2100) for RCP 8.5 for 11 locations in the Mediterranean Sea.

Wave System distribution in the Mediterranean Sea.

This dataset identifies the main directional wave systems of the Mediterranean Sea from basin-scale wave hindcast data. The methodology extracts wave climate modes associated with specific propagation directions, overcoming limitations of traditional spectral partitioning approaches.

The dataset provides information on the frequency and characteristics of multi-directional wave conditions, including crossing seas, and offers a valuable resource for wave climate and coastal engineering studies.