Articles | Volume 16, issue 5
https://doi.org/10.5194/tc-16-2103-2022
https://doi.org/10.5194/tc-16-2103-2022
Research article
 | 
01 Jun 2022
Research article |  | 01 Jun 2022

Estimating a mean transport velocity in the marginal ice zone using ice–ocean prediction systems

Graig Sutherland, Victor de Aguiar, Lars-Robert Hole, Jean Rabault, Mohammed Dabboor, and Øyvind Breivik

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Cited articles

Babaei, H. and Watson, D.: A preliminary computational surface oil spill trajectory model for ice-covered waters and its validation with two oil spill events: A field experiment in the Barents Sea and an accidental spill in the Gulf of Finland, Mar. Pollut. Bull., 161, 111786, https://doi.org/10.1016/j.marpolbul.2020.111786, 2020. a
Breivik, Ø. and Christensen, K. H.: A combined Stokes drift profile under swell and wind sea, J. Phys. Oceanogr., 50, 2819–2833, 2020. a
Breivik, Ø., Allen, A. A., Maisondieu, C., and Roth, J. C.: Wind-induced drift of objects at sea: The leeway method, Appl. Ocean Res., 33, 100–109, 2011. a, b, c
Christensen, K. H., Breivik, Ø., Dagestad, K.-F., Röhrs, J., and Ward, B.: Short-Term Predictions of oceanic drift, Oceanography, 31, 59–67, 2018. a
CMEMS: Arctic Ocean Physics Analysis and Forecast (ARCTIC_ANALYSIS_FORECAST_PHYS_002_001_a), CMEMS [data set], https://doi.org/10.48670/moi-00001, last access: May 2022, updated daily. a
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Short summary
The marginal ice zone (MIZ), which is the transition region between the open ocean and the dense pack ice, is a very dynamic region comprising a mixture of ice and ocean conditions. Using novel drifters deployed in various ice conditions in the MIZ, several material transport models are tested with two operational ice–ocean prediction systems. A new general transport equation, which uses both the ice and ocean solutions, is developed that reduces the error in drift prediction for our case study.