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

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

doi:https://doi.org/10.5194/tc-16-2103-2022

Articles | Volume 16, issue 5

https://doi.org/10.5194/tc-16-2103-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-16-2103-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 5

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

Data sets

Sea ice drifter trajectories from the Arven Etter Nansen Physical Process Cruise 2018 Jean Rabault https://doi.org/10.21343/9p70-4q69

Arctic Ocean Physics Analysis and Forecast (ARCTIC_ANALYSIS_FORECAST_PHYS_002_001_a) CMEMS https://doi.org/10.48670/moi-00001

graig-sutherland/transport-miz-tc: Software and Data for MIZ Transport by Sutherland et al., TC, 2022 (Version v1) Graig Sutherland https://doi.org/10.5281/zenodo.6576844

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.