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

Viewed

Total article views: 3,086 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,918 1,047 121 3,086 106 100
  • HTML: 1,918
  • PDF: 1,047
  • XML: 121
  • Total: 3,086
  • BibTeX: 106
  • EndNote: 100
Views and downloads (calculated since 21 Aug 2017)
Cumulative views and downloads (calculated since 21 Aug 2017)

Viewed (geographical distribution)

Total article views: 3,086 (including HTML, PDF, and XML) Thereof 2,860 with geography defined and 226 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 14 Dec 2024
Download
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.