The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 2
Articles | Volume 16, issue 2
The Cryosphere, 16, 533–557, 2022
https://doi.org/10.5194/tc-16-533-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 16, 533–557, 2022
https://doi.org/10.5194/tc-16-533-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 2

Research article 15 Feb 2022

Research article | 15 Feb 2022

A new state-dependent parameterization for the free drift of sea ice

Charles Brunette et al.

Data sets

Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4 M. Tschudi, W. N. Meier , J. S. Stewart, C. Fowler, and J. Maslanik https://doi.org/10.5067/INAWUWO7QH7B

NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 3 W. N. Meier, F. Fetterer, M. Savoie, S. Mallory, R. Duerr, and J. Stroeve https://doi.org/10.7265/N59P2ZTG

ERA5 hourly data on single levels from 1979 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Arctic Ocean surface geostrophic circulation 2003-2014 (http://www.cpom.ucl.ac.uk/dynamic_topography) Thomas W. K. Armitage, Sheldon Bacon, Andy L. Ridout, Alek A. Petty, Steven Wolbach, and Michel Tsamados https://doi.org/10.5194/tc-11-1767-2017

Model code and software

ncpolarm Andrew Roberts https://www.mathworks.com/matlabcentral/fileexchange/30414-ncpolarm

Scatter Plot colored by Kernel Density Estimate Nils Haëntjens https://www.mathworks.com/matlabcentral/fileexchange/65728-scatter-plot-colored-by-kernel-density-estimate

Circular Statistics Toolbox (Directional Statistics) Philipp Berens https://www.mathworks.com/matlabcentral/fileexchange/10676-circular-statistics-toolbox-directional-statistics

Download
Short summary
Sea ice motion is a versatile parameter for monitoring the Arctic climate system. In this contribution, we use data from drifting buoys, winds, and ice thickness to parameterize the motion of sea ice in a free drift regime – i.e., flowing freely in response to the forcing from the winds and ocean currents. We show that including a dependence on sea ice thickness and taking into account a climatology of the surface ocean circulation significantly improves the accuracy of sea ice motion estimates.
Read more