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    Confidence in kinetic energy due to currents at the seabed in the Barents Sea - calculated from S800 Barents Sea 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

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    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

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    Created by the EMODnet Seabed Habitats project consortium from data derived from NIVA Norway. 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

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    Confidence in kinetic energy due to currents at the seabed in Norway - Created by the EMODnet Seabed Habitats project consortium from data derived from Institute for Marine Research, Norway. 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

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    The BarentsSea-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

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    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

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    The hydrodynamic circulation model results are retrieved from an ocean model version of the Regional Ocean Modeling System (ROMS) (www.myroms.org, Haidvogel et al, 2008, Shchepetkin and McWilliams 2005, 2009) applying a horizontal resolution of 800m. This model covers the entire Norwegian coast and parts of the adjacent seas, and the technical details are described in Albretsen et al. (2011). At the surface the ocean model applied atmospheric fields from a high-resolution simulation with the WRF meso-scale wind model (www.wrf-model.org<http://www.wrf-model.org/>, Dudhia, 1993). The model statistics were retrieved from two separate simulations covering the period from January-August both in 2013 and 2014. Tidal forcing was retrieved from the global TPXO model of ocean tides (Egbert and Erofeeva, 2002) and added along the open boundary in addition to daily averaged surface elevation, currents and hydrography from the operational forecast from the Norwegian Meteorological Institute. No data assimilation or any kind of surface relaxation was used.

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    Wave exposure (m2/s) was modelled, with a spatial resolution of 25 m, as an index using data on fetch (distance to nearest shore, island or coast), averaged wind speed and wind frequency (estimated as the amount of time that the wind came from one of 16 direction). Data on wind speed and direction were delivered by the Norwegian Meteorological Institute and averaged over a 10-year period (i.e. 1995-2004). The model is run using the program WaveImpact based on the method “Simplified Wave Model” (SWM) developed and described by Isæus (2004). The method is a fetch model, where the fetch values are adjusted to simulate refraction and diffraction effects. The estimated fetch values for each of the 16 directions are multiplied with the average wind speed in the given direction. The model has been run by NIVA for the whole Norwegian coast, and has been used as part of the habitat modelling of the National program for mapping biodiversity – coast (Bekkby et al. 2013). The model has also been applied in several research projects in Norway (e.g. Bekkby et al. 2008, 2009, 2014, 2015, Bekkby & Moy 2011, Norderhaug et al. 2012, 2014, Pedersen et al. 2012, Rinde et al. 2014). The model has also been run for Sweden (e.g. Eriksson et al. 2004), Finland (Isæus & Rygg 2005), the Danish region of the Skagerrak coast and the Russian, Latvian, Estonian, Lithuanian and German territories of the Baltic Sea (Wijkmark & Isæus 2010). The wave exposure values range from Ultra sheltered to Extremely exposed (cf Wijkmark & Isæus 2010, similar to the EUNIS system of Davies & Moss 2004).

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    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

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    Under a specific contract for the EUSeaMap project, energy layers were produced for the North and Celtic seas. Energy layers are built using data from National Oceanographic Centre (NOC) wave (ProWAM at a resolution of 12.5km) and current models (the CS20, CS3 and NEA models at resolutions of 1.8km, 10km and 35km respectively). A high resolution (~300m) bespoke wave model based on the DHI Spectral Wave model was used to augment the coastal areas where the ProWAM model resolution was inadequate. Wave and current data were combined to produce the input energy layer for the EUSeaMap model. Wave data (wave base derived from peak wave periods) were also used to define the boundary between the circalittoral and deep circalittoral biological zones.The kinetic energy due to wave action at the seabed has been expressed here as KE = ½ ?wUwp2, where Uwpis the peak value of water particle velocity on the seabed during the passage of the wave. The value of Uwphas been predicted using linear wave theory.A series of some 24 bespoke wave models which cover the full extent of the UK coastline, including Northern Europe and Ireland have been constructed using MIKE21-SW to support production of the KE outputs. Wave height exceedance probabilities were calculated based on the average 5-years of ProWAM data for years 2000 to 2005, these wave parameters were used to calibrate the local wave models and provide information in the open coastal sections of the data layer’s extent.