Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/tc-2017-169
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
21 Aug 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal The Cryosphere (TC).
A Network Model for Characterizing Brine Channels in Sea Ice
Ross M. Lieblappen1,2, Deip D. Kumar3, Scott D. Pauls4, and Rachel W. Obbard1 114 Engineering Drive, Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
2124 Admin Drive, Vermont Technical College, Randolph Center, VT, USA
36211 Sudikoff Lab, Department of Computer Science, Dartmouth College, Hanover, NH, USA
427 N. Main Street, Department of Mathematics, Dartmouth College, Hanover, NH, USA
Abstract. The brine network in sea ice is a complex labyrinth whose precise microstructure is critical in governing the movement of brine and gas between the ocean and the sea ice surface. Recent advances in three-dimensional imaging using x-ray micro-computed tomography have enabled the visualization and quantification of the brine network morphology and variability. Using imaging of first-year sea ice samples at in-situ temperatures, we create a new mathematical network model to characterize the topology and connectivity of the brine channels. This model provides a statistical framework where we can characterize the pore networks via two parameters, depth and temperature, for use in dynamical sea ice models. Our approach advances the quantification of brine connectivity in sea ice, which can help investigations of bulk physical properties, such as fluid permeability, that are key in both global and regional sea ice models.

Citation: Lieblappen, R. M., Kumar, D. D., Pauls, S. D., and Obbard, R. W.: A Network Model for Characterizing Brine Channels in Sea Ice, The Cryosphere Discuss., https://doi.org/10.5194/tc-2017-169, in review, 2017.
Ross M. Lieblappen et al.
Ross M. Lieblappen et al.
Ross M. Lieblappen et al.

Viewed

Total article views: 149 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
120 25 4 149 3 5

Views and downloads (calculated since 21 Aug 2017)

Cumulative views and downloads (calculated since 21 Aug 2017)

Viewed (geographical distribution)

Total article views: 149 (including HTML, PDF, and XML)

Thereof 149 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 19 Sep 2017
Publications Copernicus
Download
Short summary
We imaged first-year sea ice using micro-computed tomography (CT) to visualize, capture, and quantify the 3D complex structure of salt water channels weaving through sea ice. From this 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.
We imaged first-year sea ice using micro-computed tomography (CT) to visualize, capture, and...
Share