Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-14-2025
https://doi.org/10.5194/sp-5-opsr-14-2025
02 Jun 2025
 | OPSR | Chapter 5.5
 | 02 Jun 2025 | OPSR | Chapter 5.5

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

Laurent Bertino, Patrick Heimbach, Ed Blockley, and Einar Ólason

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Cited articles

Arrigo, K. R.: Sea Ice Ecosystems, Annu. Rev. Mar. Sci., 6, 439–467, https://doi.org/10.1146/annurev-marine-010213-135103, 2014. 
Bertino, L. and Holland, M. M.: Coupled ice-ocean modeling and predictions. In The Sea, the Science of Ocean Prediction, Part 2. Special Issue, Journal of Marine Resources, 75, 839–875, https://doi.org/10.1357/002224017823524017, 2017. 
Bigdeli, A., Nguyen, A. T., Pillar, H. R., Ocana, V., and Heimbach, P.: Atmospheric Warming Drives Growth in Arctic Sea Ice: A Key Role for Snow, Geophys. Res. Lett., 47, 5204, https://doi.org/10.1029/2020gl090236, 2020. 
Boutin, G., Williams, T., Horvat, C., and Brodeau, L.: Modelling the Arctic wave-affected marginal ice zone: a comparison with ICESat-2 observations, Philos. T. Roy. Soc. A, 380, 2235, https://doi.org/10.1098/rsta.2021.0262, 2022. 
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Short summary
Forecasts of sea ice are in high demand in the polar regions, and they are also quickly improving and becoming more easily accessible to non-experts. We provide here a brief status of the short-term forecasting services – typically 10 d ahead – and an outlook of their upcoming developments.
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