Numerical models for monitoring and forecasting sea ice: a short description of present status

<strong class="journal-contentHeaderColor">Abstract.</strong> The severe changes in climate resulting in the polar oceans getting warmer – with drastic consequences to their physical, biogeochemical, and biological state – require forecasting systems that can accurately simulate and skilfully predict the state of the ice cover and its temporal evolution. Sea-ice processes significantly impact ocean circulation, water mass formation and modifications, and air–sea fluxes. They comprise vertical processes, mainly related to thermodynamics, and horizontal ones, due to internal sea-ice mechanics and motion. We provide an overview on how these processes can be modelled and how operational systems work, in combination with data assimilation techniques, to enhance accuracy and reliability. We also emphasise the need for advancing research on improving such numerical techniques by highlighting current limits and ways forward.

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Published
2025-06-02
DOI
https://doi.org/10.5194/sp-5-opsr-14-2025
Primary Topic
Arctic and Antarctic ice dynamics
Type
article

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article

Numerical models for monitoring and forecasting sea ice: a short description of present status

Laurent Bertino, Patrick Heimbach, Einar Ólason, Ed Blockley
Arctic and Antarctic ice dynamics
article

Numerical models for monitoring and forecasting sea ice: a short description of present status

Laurent Bertino, Patrick Heimbach, Einar Ólason, Ed Blockley
article en

Abstract

<strong class="journal-contentHeaderColor">Abstract.</strong> The severe changes in climate resulting in the polar oceans getting warmer – with drastic consequences to their physical, biogeochemical, and biological state – require forecasting systems that can accurately simulate and skilfully predict the state of the ice cover and its temporal evolution. Sea-ice processes significantly impact ocean circulation, water mass formation and modifications, and air–sea fluxes. They comprise vertical processes, mainly related to thermodynamics, and horizontal ones, due to internal sea-ice mechanics and motion. We provide an overview on how these processes can be modelled and how operational systems work, in combination with data assimilation techniques, to enhance accuracy and reliability. We also emphasise the need for advancing research on improving such numerical techniques by highlighting current limits and ways forward.

Met Office (GB), Nansen International Environmental and Remote Sensing Center (RU), The University of Texas at Austin (US)
National Science Foundation, U.S. Department of Energy, European Commission, Met Office, HORIZON EUROPE Framework Programme, Office of Naval Research, HORIZON EUROPE Climate, Energy and Mobility
Arctic and Antarctic ice dynamics
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Numerical models for monitoring and forecasting sea ice: a short description of present status — Laurent Bertino, Patrick Heimbach, et al. · (2025) | TGRS Research Map | TGRS