Articles | Volume 15, issue 7
The Cryosphere, 15, 3207–3227, 2021
https://doi.org/10.5194/tc-15-3207-2021
The Cryosphere, 15, 3207–3227, 2021
https://doi.org/10.5194/tc-15-3207-2021

Research article 12 Jul 2021

Research article | 12 Jul 2021

Presentation and evaluation of the Arctic sea ice forecasting system neXtSIM-F

Timothy Williams et al.

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Cited articles

Aydoğdu, A., Carrassi, A., Guider, C. T., Jones, C. K. R. T., and Rampal, P.: Data assimilation using adaptive, non-conservative, moving mesh models, Nonlin. Processes Geophys., 26, 175–193, https://doi.org/10.5194/npg-26-175-2019, 2019. a
Azzara, A. J., Wang, H., Rutherford, D., Hurley, B. J., and Stephenson, S. R.: A 10-year projection of maritime activity in the US Arctic region, Tech. rep., The International Council on Clean Transportation, Washington, DC, 2015. a
Bleck, R.: An oceanic general circulation model framed in hybrid isopycnic-Cartesian coordinates, Ocean Model., 4, 55–88, 2002. a
Bouillon, S. and Rampal, P.: Presentation of the dynamical core of neXtSIM, a new sea ice model, Ocean Model., 91, 23–37, https://doi.org/10.1016/j.ocemod.2015.04.005, 2015. a
Boulze, H., Korosov, A., and Brajard, J.: Classification of sea ice types in Sentinel-1 SAR data using convolutional neural networks, Remote Sensing, 12, 2165, https://doi.org/10.3390/rs12132165, 2020. a
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Short summary
neXtSIM (neXt-generation Sea Ice Model) includes a novel and extremely realistic way of modelling sea ice dynamics – i.e. how the sea ice moves and deforms in response to the drag from winds and ocean currents. It has been developed over the last few years for a variety of applications, but this paper represents its first demonstration in a forecast context. We present results for the time period from November 2018 to June 2020 and show that it agrees well with satellite observations.