Articles | Volume 14, issue 6
https://doi.org/10.5194/tc-14-2029-2020
https://doi.org/10.5194/tc-14-2029-2020
Research article
 | 
24 Jun 2020
Research article |  | 24 Jun 2020

Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones

Takehiko Nose, Takuji Waseda, Tsubasa Kodaira, and Jun Inoue

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (05 Mar 2020) by David Schroeder
AR by Takehiko Nose on behalf of the Authors (08 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (10 Mar 2020) by David Schroeder
RR by Anonymous Referee #1 (21 Mar 2020)
RR by Anonymous Referee #2 (27 Mar 2020)
ED: Publish subject to minor revisions (review by editor) (14 Apr 2020) by David Schroeder
AR by Takehiko Nose on behalf of the Authors (24 Apr 2020)  Author's response    Manuscript
ED: Publish as is (04 May 2020) by David Schroeder
Download
Short summary
Accurate wave modelling in and near ice-covered ocean requires true sea ice concentration mapping of the model region. The information derived from satellite instruments has considerable uncertainty depending on retrieval algorithms and sensors. This study shows that the accuracy of satellite-retrieved sea ice concentration estimates is a major error source in wave–ice models. A similar feedback effect of sea ice concentration uncertainty may also apply to modelling lower atmospheric conditions.