Articles | Volume 9, issue 1
https://doi.org/10.5194/tc-9-37-2015
https://doi.org/10.5194/tc-9-37-2015
Research article
 | 
06 Jan 2015
Research article |  | 06 Jan 2015

The impact of snow depth, snow density and ice density on sea ice thickness retrieval from satellite radar altimetry: results from the ESA-CCI Sea Ice ECV Project Round Robin Exercise

S. Kern, K. Khvorostovsky, H. Skourup, E. Rinne, Z. S. Parsakhoo, V. Djepa, P. Wadhams, and S. Sandven

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Stefan Kern on behalf of the Authors (08 Jul 2014)  Author's response   Manuscript 
ED: Reconsider after major revisions (16 Jul 2014) by Julienne Stroeve
AR by Stefan Kern on behalf of the Authors (09 Oct 2014)  Author's response   Manuscript 
ED: Publish as is (05 Nov 2014) by Julienne Stroeve
AR by Stefan Kern on behalf of the Authors (11 Nov 2014)
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Short summary
Snow depth and ice density are equally important parameters for sea ice thickness retrieval from radar altimetry of Arctic sea ice. Development of a new snow depth data set is mandatory as the Warren snow depth climatology does not represent the actual snow depth distribution. An optimal choice of ice density can be realized by including ice type and degree of deformation. Retrieval and validation enhancement requires more contemporary ice freeboard, thickness, and density and snow depth data.