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  • An important task undertaken this year was to define sub-regional areas of the ICES greater North Sea eco-region. The sub-regional areas correspond to meaningful eco-logical units whose boundaries are defined by strong gradients in their physical oceanography, such as changes in depth, sediment transport, salinity, oxygen and currents. The four sub-regions of the ICES greater North Sea eco-region are; i. North-ern North Sea, ii. Southern North Sea, iii. Skagerrak and Kattegat, and iv. English Channel

  • Confidence in kinetic energy due to currents at the seabed in the Black Sea, created by the EMODnet Seabed Habitats project consortium. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • Confidence in kinetic energy due to waves at the seabed in the Black Sea. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • Kinetic energy due to waves at the seabed in Macaronesia, mean of annual 90th percentile values between 2016 and 2018 - Created using the CMEMS GLOBAL_ANALYSIS_FORECAST_WAV_001_027 3-hourly products, postprocessed to evaluate energy at 1m from the seabed. 1/12 degree horizontal resolution Created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

  • Average density at the seabottom in the Black Sea - Created using the CMEMS salinity reanalysis dataset (SV04-BS-CMCC-SAL-REAN-M) of the BLKSEA_REANALYSIS_PHYS_007_004 product and monthly potential temperature at the seabottom, postprocessed to evaluate the salinity at the seabottom and using the (linearised) equation of state to evaluate seabottom density. 1/36 x 1/27 degree (3 km) resolution. Created by the EMODnet Seabed Habitats project consortium using E.U. Copernicus Marine Service Information.

  • The Svalbard-800m model is run and disseminated by the Institute of Marine Research, Norway. S800 is a renewed version of the 800m-model system described in Hattermann et al. (2016) run for the years 2007-2010, while the B800-model is based on a one-year simulation (2010) using similar external forcings as the S800-model. More details available here: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323

  • 90th percentile Kinetic Energy due to waves at the seabed in the North East Atlantic Sea, Greater North Sea and Celtic Seas in N m2/s - Created for the EMODnet Seabed Habitats broad-scale habitat map (EUSeaMap 2016). This dataset is a raster composite of the outputs of several models, created for display in the EMODnet Seabed Habitats portal. North Sea and Celtic Seas offshore (>6km from coast): NOC ProWAM model with a resolution of 12.5 km offshore run for a period of 5 years (2000-2005); North Sea and Celtic Seas inshore (<6km from coast): DHI MIKE21 Spectral wave model with a resolution of 100-300m run for a period of 5 years (2000-2005); French coasts: the data is derived from the French Previmer archives for the years 2000 to 2004, at a resolution of 250m; Bay of Biscay, inc. northern Spain and Southern Irish Sea: the data is derived from Ifremer's IOWAGA project hindcast archives (Roland and Ardhuin, 2014) using the WAVEWATCH III™ model (Tolman, 2009), run for a period of 5 years (2000-2005), the resolution is 300 m inshore, 3 km offshore. Iberian peninsula and Azores: WAVEWATCH III™ model (Tolman, 2009) run for 3 years with 4 km resolution

  • Confidence in kinetic energy due to currents at the seabed in Svalbard - calculated from S800 Svalbard Model (see: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2016GL068323) Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • Confidence in kinetic energy due to waves at the seabed in the Atlantic. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

  • Confidence in kinetic energy due to currents at the seabed in the Mediterranean. Values are on a range from 1 (Low confidence) to 3 (High confidence). The confidence assessment considered factors such as: • Quality of training data and methods used to construct the model. • Temporal resolution. • Spatial resolution Detailed information on the confidence assessment in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975