Articles | Volume 12, issue 3
Research article
22 Mar 2018
Research article |  | 22 Mar 2018

A network model for characterizing brine channels in sea ice

Ross M. Lieblappen, Deip D. Kumar, Scott D. Pauls, and Rachel W. Obbard


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 Ross Lieblappen on behalf of the Authors (30 Dec 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Jan 2018) by Jennifer Hutchings
RR by Anonymous Referee #1 (02 Feb 2018)
ED: Publish subject to minor revisions (review by editor) (06 Feb 2018) by Jennifer Hutchings
AR by Ross Lieblappen on behalf of the Authors (16 Feb 2018)  Author's response    Manuscript
ED: Publish as is (20 Feb 2018) by Jennifer Hutchings
Short summary
We imaged first-year sea ice using micro-computed tomography to visualize, capture, and quantify the 3-D complex structure of salt water channels weaving through sea ice. From these data, we then built a mathematical network to better understand the pathways transporting heat, gases, and salts between the ocean and the atmosphere. Powered with this structural knowledge, we can create new modeled brine channels for a given sea ice depth and temperature that accurately mimic field conditions.