Articles | Volume 10, issue 2
Research article
14 Mar 2016
Research article |  | 14 Mar 2016

Error assessment of satellite-derived lead fraction in the Arctic

Natalia Ivanova, Pierre Rampal, and Sylvain Bouillon

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Cited articles

ASAR Product Handbook: Issue 2.2, European Space Agency, available at: (last access: January 2014), 2007.
Beitsch, A., Kaleschke, L., and Kern, S.: Investigating High-Resolution AMSR2 Sea Ice Concentrations during the February 2013 Fracture Event in the Beaufort Sea, Remote Sens., 6, 3841–3856,, 2014.
Berg, A. and Eriksson, L. E. B.: SAR Algorithm for Sea Ice Concentration—Evaluation for the Baltic Sea, IEEE Geosci. Remote S., 9, 938–942, 2012.
Bouillon, S. and Rampal, P.: Presentation of the dynamical core of neXtSIM, a new sea ice model, Ocean Mod., 91, 23–37,, 2015.
Bröhan, D. and Kaleschke, L.: A Nine-Year Climatology of Arctic Sea Ice Lead Orientation and Frequency from AMSR-E, Remote Sens., 6, 1451–1475,, 2014.
Short summary
Accurate observations of lead fraction are of high importance for model evaluation and/or assimilation into models. In this work, consistent quantitative error estimation of an existing lead fraction data set obtained from passive microwave observations is completed using Synthetic Aperture Radar data. A significant bias in the data set is found, and possible improvement in the methodology is suggested, so that the pixel-wise error is reduced by a factor of 2 on average.