Articles | Volume 12, issue 5
https://doi.org/10.5194/tc-12-1665-2018
https://doi.org/10.5194/tc-12-1665-2018
Research article
 | 
18 May 2018
Research article |  | 18 May 2018

Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data

Sanggyun Lee, Hyun-cheol Kim, and Jungho Im

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
AR by Jungho Im on behalf of the Authors (11 Jan 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Jan 2018) by Bert Wouters
RR by Anonymous Referee #3 (08 Feb 2018)
RR by Anonymous Referee #2 (16 Feb 2018)
ED: Reconsider after major revisions (02 Mar 2018) by Bert Wouters
AR by Jungho Im on behalf of the Authors (23 Mar 2018)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (09 Apr 2018) by Bert Wouters
AR by Jungho Im on behalf of the Authors (12 Apr 2018)
ED: Publish subject to technical corrections (26 Apr 2018) by Bert Wouters
AR by Jungho Im on behalf of the Authors (27 Apr 2018)  Author's response   Manuscript 
Download
Short summary
Arctic sea ice leads play a major role in exchanging heat and momentum between the Arctic atmosphere and ocean. In this study, we propose a novel lead detection approach based on waveform mixture analysis. The performance of the proposed approach in detecting leads was promising when compared to the existing methods. The robustness of the proposed approach also lies in the fact that it does not require the rescaling of parameters, as it directly uses L1B waveform data.