Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories

Rampal, Pierre; Bouillon, Sylvain; Bergh, Jon; Ólason, Einar

doi:https://doi.org/10.5194/tc-10-1513-2016

Articles | Volume 10, issue 4

https://doi.org/10.5194/tc-10-1513-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/tc-10-1513-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 4

Research article

|

19 Jul 2016

Research article |

| 19 Jul 2016

Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories

Pierre Rampal, Sylvain Bouillon, Jon Bergh, and Einar Ólason

Data sets

IABP Drifting Buoy Pressure, Temperature, Position, and Interpolated Ice Velocity, Version 1, subset C. Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. Rigor, I. G., Compiled by Polar Science Center. http://dx.doi.org/10.7265/N53X84K7

Short summary

Due to the increasing activity in Arctic, sea-ice–ocean models are now frequently used to produce operational forecasts, for oil spill trajectory modelling and to assist in offshore operations planning. In this study we evaluate the performance of two models with respect to their capability to reproduce observed sea ice diffusion properties by using metrics based on Lagrangian statistics. This paper presents a new and useful evaluation metric for current coupled sea ice–ocean models.