Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-93-2020
https://doi.org/10.5194/tc-14-93-2020
Research article
 | 
16 Jan 2020
Research article |  | 16 Jan 2020

Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations

Nils Hutter and Martin Losch

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Cited articles

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Borradaile, G. J.: Statistics of Earth Science Data: Their Distribution in Time, Space and Orientation, Springer-Verlag Berlin Heidelberg, https://doi.org/10.1007/978-3-662-05223-5, 2003. a
Bouchat, A. and Tremblay, B.: Using sea-ice deformation fields to constrain the mechanical strength parameters of geophysical sea ice, J. Geophys. Res.-Oceans, 122, 5802–5825, https://doi.org/10.1002/2017JC013020, 2017. a, b, c, d, e
Bröhan, D. and Kaleschke, L.: A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E, Remote Sensing, 6, 1451–1475, https://doi.org/10.3390/rs6021451, 2014. a, b, c, d, e, f
Castellani, G., Losch, M., Ungermann, M., and Gerdes, R.: Sea-Ice Drag as Function of Deformation and Ice Cover: Effects on Simulated Sea Ice and Ocean Circulation in the Arctic., Ocean Model., 128, 48–66, https://doi.org/10.1016/j.ocemod.2018.06.002, 2018. a, b
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Short summary
Sea ice is composed of a multitude of floes that constantly deform due to wind and ocean currents and thereby form leads and pressure ridges. These features are visible in the ice as stripes of open-ocean or high-piled ice. High-resolution sea ice models start to resolve these deformation features. In this paper we present two simulations that agree with satellite data according to a new evaluation metric that detects deformation features and compares their spatial and temporal characteristics.
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