Articles | Volume 16, issue 18
https://doi.org/10.5194/gmd-16-5401-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5401-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
22 Sep 2023
Development and technical paper |
| 22 Sep 2023
| 22 Sep 2023
Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Yvonne Gusdal
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Edel S. U. Rikardsen
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Marina Durán Moro
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Jostein Brændshøi
Norwegian Defence Research Establishment, Instituttveien 20, 2007 Kjeller, Norway
Nils Melsom Kristensen
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Sindre Fritzner
Department of Physics and Technology, UiT The Arctic University of Norway, P.O. Box 6050 Langnes, 9037 Tromsø, Norway
Keguang Wang
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Ann Kristin Sperrevik
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Martina Idžanović
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Thomas Lavergne
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Jens Boldingh Debernard
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Kai H. Christensen
Norwegian Meteorological Institute, Henrik Mohns Plass 1, 0371 Oslo, Norway
Department of Geosciences, University of Oslo, P.O. Box 1022, Blindern, 0315 Oslo, Norway
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Cited
9 citations as recorded by crossref.
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. 10.3389/fmars.2024.1400479
- Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model M. Matuszak et al. 10.5194/os-21-401-2025
- Improving short-term sea ice concentration forecasts using deep learning C. Palerme et al. 10.5194/tc-18-2161-2024
- A large-scale high-resolution numerical model for sea-ice fragmentation dynamics J. Åström et al. 10.5194/tc-18-2429-2024
- Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model M. Durán Moro et al. 10.5194/tc-18-1597-2024
- Polar cod early life stage exposure to potential oil spills in the Arctic F. Vikebø et al. 10.1016/j.aquatox.2025.107293
- Multisensor data fusion of operational sea ice observations K. Wang et al. 10.3389/fmars.2024.1366002
- Assessing ocean ensemble drift predictions by comparison with observed oil slicks V. de Aguiar et al. 10.3389/fmars.2023.1122192
- Forecast uncertainty and ensemble spread in surface currents from a regional ocean model M. Idžanović et al. 10.3389/fmars.2023.1177337
7 citations as recorded by crossref.
- The MET Norway Ice Service: a comprehensive review of the historical and future evolution, ice chart creation, and end user interaction within METAREA XIX W. Copeland et al. 10.3389/fmars.2024.1400479
- Uncertainties in the finite-time Lyapunov exponent in an ocean ensemble prediction model M. Matuszak et al. 10.5194/os-21-401-2025
- Improving short-term sea ice concentration forecasts using deep learning C. Palerme et al. 10.5194/tc-18-2161-2024
- A large-scale high-resolution numerical model for sea-ice fragmentation dynamics J. Åström et al. 10.5194/tc-18-2429-2024
- Assimilation of satellite swaths versus daily means of sea ice concentration in a regional coupled ocean–sea ice model M. Durán Moro et al. 10.5194/tc-18-1597-2024
- Polar cod early life stage exposure to potential oil spills in the Arctic F. Vikebø et al. 10.1016/j.aquatox.2025.107293
- Multisensor data fusion of operational sea ice observations K. Wang et al. 10.3389/fmars.2024.1366002
2 citations as recorded by crossref.
Latest update: 30 Mar 2025
Short summary
A model to predict ocean currents, temperature, and sea ice is presented, covering the Barents Sea and northern Norway. To quantify forecast uncertainties, the model calculates ensemble forecasts with 24 realizations of ocean and ice conditions. Observations from satellites, buoys, and ships are ingested by the model. The model forecasts are compared with observations, and we show that the ocean model has skill in predicting sea surface temperatures.
A model to predict ocean currents, temperature, and sea ice is presented, covering the Barents...
