Articles | Volume 12, issue 3
https://doi.org/10.5194/tc-12-1013-2018
https://doi.org/10.5194/tc-12-1013-2018
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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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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
AR by Ross Lieblappen on behalf of the Authors (22 Feb 2018)
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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.