globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-12-1013-2018
Scopus记录号: 2-s2.0-85044324214
论文题名:
A network model for characterizing brine channels in sea ice
作者: Lieblappen R; M; , Kumar D; D; , Pauls S; D; , Obbard R; W
刊名: Cryosphere
ISSN: 19940416
出版年: 2018
卷: 12, 期:3
起始页码: 1013
结束页码: 1026
语种: 英语
英文摘要: The brine pore space in sea ice can form complex connected structures whose geometry is critical in the governance of important physical transport processes between the ocean, sea ice, and 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. © Author(s) 2018.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75396
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, United States; Vermont Technical College, Randolph Center, 124 Admin DriveVT, United States; 6211 Sudikoff Lab, Department of Computer Science, Dartmouth College, Hanover, NH, United States; Department of Mathematics, Dartmouth College, 27 N. Main Street, Hanover, NH, United States

Recommended Citation:
Lieblappen R,M,, Kumar D,et al. A network model for characterizing brine channels in sea ice[J]. Cryosphere,2018-01-01,12(3)
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