This ocean model is operated at 4km resolution covering the Nordic Seas. This specific dataset provides daily mean information at several levels in the ocean. This is the first setup of Nordic4km and it is no longer operational. It has been superseeded. A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.

The dataset contains monthly averages from a 54 year (1958-2011) numerical ocean model hindcast archive, produced with the Regional Ocean Modeling System (ROMS). ROMS is a three dimensional baroclinic ocean general circulation model which uses topography-following s-coordinates in the vertical. This ensures high vertical resolution in shallow areas such as shelf seas and coastal areas. Here, the model is run on a grid with 32 s-layers in the vertical. In the horizontal, the grid resolution is 4 km and covers the Nordic, Barents and Kara seas, as well as parts of the Arctic Ocean. For further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf All SVIM data (daily, monthly, yearly, climatology) are currently bundled in the same location, data will be separated when a better application server is implemented.

The dataset contains a amonthly climatology generated from a 54 year (1958-2011) numerical ocean model hindcast archive, produced with the Regional Ocean Modeling System (ROMS). ROMS is a three dimensional baroclinic ocean general circulation model which uses topography-following s-coordinates in the vertical. This ensures high vertical resolution in shallow areas such as shelf seas and coastal areas. Here, the model is run on a grid with 32 s-layers in the vertical. In the horizontal, the grid resolution is 4 km and covers the Nordic, Barents and Kara seas, as well as parts of the Arctic Ocean. For further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf All SVIM data (daily, monthly, yearly, climatology) are currently bundled in the same location, data will be separated when a better application server is implemented.

The dataset contains yearly averages from a 54 year (1958-2011) numerical ocean model hindcast archive, produced with the Regional Ocean Modeling System (ROMS). ROMS is a three dimensional baroclinic ocean general circulation model which uses topography-following s-coordinates in the vertical. This ensures high vertical resolution in shallow areas such as shelf seas and coastal areas. Here, the model is run on a grid with 32 s-layers in the vertical. In the horizontal, the grid resolution is 4 km and covers the Nordic, Barents and Kara seas, as well as parts of the Arctic Ocean. For further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf All SVIM data (daily, monthly, yearly, climatology) are currently bundled in the same location, data will be separated when a better application server is implemented.

The dataset contains daily averages from a 54 year (1958-2011) numerical ocean model hindcast archive, produced with the Regional Ocean Modeling System (ROMS). ROMS is a three dimensional baroclinic ocean general circulation model which uses topography-following s-coordinates in the vertical. This ensures high vertical resolution in shallow areas such as shelf seas and coastal areas. Here, the model is run on a grid with 32 s-layers in the vertical. In the horizontal, the grid resolution is 4 km and covers the Nordic, Barents and Kara seas, as well as parts of the Arctic Ocean. For further reading check http://www.imr.no/filarkiv/2014/01/fh_7-2013_swim_til_web.pdf All SVIM data (daily, monthly, yearly, climatology) are currently bundled in the same location, data will be separated when a better application server is implemented.

This ocean model is operated at 20km resolution covering the Nordic Seas and the Arctic Ocean. This specific dataset provides the hourly forecast fields from the operational model. For historical purposes, the daily analysis is provided as another dataset. If for some reason the historical forecast is required, pleased use the contact information provided to receive this (manual task). A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.

This ocean model is operated at 800m resolution covering the Norwegian Coastal areas. This specific dataset provides the daily analysis from the operational model. Only the analysis is provided for historical periods, the daily forecast with 1 hour resolution is provided as a separate dataset. The WMS representation of this dataset is yet not supporting the 3D nature of this dataset. A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.

This ocean model is operated at 20km resolution covering the Nordic Seas and the Arctic Ocean. This specific dataset provides the daily analysis from the operational model. Only the analysis is provided for historical periods, the daily forecast with 1 hour resolution is provided as a separate dataset. Currently the WMS presentation of this dataset is not supporting the 3D nature. A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.

This ocean model is operated at 800m resolution covering the Norwegian Coastal areas. This specific dataset provides the hourly forecast from the operational model. This is a rolling archive where only the most recent data are presented online. For historical purposes, the daily analysis is provided as another dataset. If for some reason the historical forecast is required, pleased use the contact information provided to receive this (manual task). A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.

This ocean model is operated at 4km resolution covering the Nordic Seas. This specific dataset provides daily mean information at several levels in the ocean. This is the second version of the Nordic4 setup. A numerical model is applied to describe the dynamics of the oceans, such as sea level variations (tides and storm surge), movements in the water column (currents) and the salinity and temperature. To simulate the ocean, a 3-D grid is applied with different sizes, i.e., small grids for fine scale or detailed calculations, and larger or coarser grids to cover larger areas (and depth). The model runs on a supercomputer, and provides forecasts of sea level, currents, salinity and temperature for a time-range between 66 (2.75 days) and 240 hours (10 days). The model is run operationally, i.e, in a "24/7/365" environment to provide a 99.5% stability on a yearly basis. Currents from the model is further applied in emergency-models that simulates pathways of oil slicks and drifting objects (Search And Rescue). The ocean model used is the Regional Ocean Modeling System (ROMS). This is a three-dimensional, free-surface, terrain-following numerical model that solve the Reynolds-averaged Navier-Stokes equations using the hydrostatic and Boussinesq assumptions (Haidvogel et al., 2008). Haidvogel, D. B., H. Arango, W. P. Budgell, B. D. Cornuelle, E. Curchitser, E. Di Lorenzo, K. Fennel, W. R. Geyer, A. J. Hermann, L. Lanerolle, J. Levin, J. C. McWilliams, A. J. Miller, A. M. Moore, T. M. Powell, A. F. Shchepetkin, C. R. Sherwood, R. P. Signell, J. C. Warner, and J. Wilkin, Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System, JOURNAL OF COMPUTATIONAL PHYSICS, 227, 3595–3624, 2008.