Fragmentation theory reveals processes controlling iceberg size distributions
Fragmentation theory reveals processes controlling iceberg size distributions
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破碎理论揭示了控制冰山尺寸分布的过程
DOI：
10.1017/jog.2021.14
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发表时间：
2021
影响因子：
3.4
通讯作者：
Glasser, Neil
中科院分区：
文献类型：
--
作者：
Åström, Jan;Cook, Sue;Enderlin, Ellyn M.;Sutherland, David A.;Mazur, Aleksandra;Glasser, Neil
冰山崩解有力地控制了冰川的质量损失，但由于崩解的随机性，人们对导致冰山形成的断裂过程知之甚少。产冰过程中产生的冰山的大小分布可以提供关于驱动产冰过程的信息，也可以影响冰川和冰盖附近海洋淡水通量的时间、大小和空间分布。在这项研究中，我们基于格陵兰岛和南极洲的观测和建模数据，应用碎片化理论来描述关键的裂冰行为。在这两个地区，冰山崩解以弹脆断裂过程为主，其分布分别包含描述大规模不相关断裂和相关分支断裂的指数和幂律分量。还可以观察到其他大小分布。对于南极冰山，分布从“稳定”产犊期间的弹性脆性类型转变为冰架解体事件期间的研磨或破碎型。在格陵兰岛，我们发现冰山碎片大小分布从最初的裂冰前缘附近的弹脆型分布演变为沿峡湾更陡峭的研磨/破碎型幂律。这些结果为理解冰山崩解的控制以及冰山崩解如何对气候强迫作出反应提供了一个全新的框架。
Iceberg calving strongly controls glacier mass loss, but the fracture processes leading to iceberg formation are poorly understood due to the stochastic nature of calving. The size distributions of icebergs produced during the calving process can yield information on the processes driving calving and also affect the timing, magnitude, and spatial distribution of ocean fresh water fluxes near glaciers and ice sheets. In this study, we apply fragmentation theory to describe key calving behaviours, based on observational and modelling data from Greenland and Antarctica. In both regions, iceberg calving is dominated by elastic-brittle fracture processes, where distributions contain both exponential and power law components describing large-scale uncorrelated fracture and correlated branching fracture, respectively. Other size distributions can also be observed. For Antarctic icebergs, distributions change from elastic-brittle type during ‘stable’ calving to one dominated by grinding or crushing during ice shelf disintegration events. In Greenland, we find that iceberg fragment size distributions evolve from an initial elastic-brittle type distribution near the calving front, into a steeper grinding/crushing-type power law along-fjord. These results provide an entirely new framework for understanding controls on iceberg calving and how calving may react to climate forcing.
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影响因子：
7.9
作者：
Rezvanbehbahani S;Stearns LA;Keramati R;Shankar S;van der Veen CJ
通讯作者：
van der Veen CJ
影响因子：
1.6
作者：
Banwell, Alison F.;Macayeal, Douglas R.
通讯作者：
Macayeal, Douglas R.
用于风险分析的冰山面密度值的修订基础
DOI：
10.4043/27369-ms
发表时间：
2016
期刊：
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子：
--
作者：
Kashfi B. Habib;Michael Hicks;Paul Stuckey;T. King
通讯作者：
T. King
将机器学习方法应用于 SAR 图像，了解三年近岸南极冰山分布
DOI：
10.1029/2019jc015205
发表时间：
2019
期刊：
Journal of Geophysical Research: Oceans
影响因子：
--
作者：
M. Barbat;T. Rackow;H. Hellmer;Christine Wesche;M. Mata
通讯作者：
M. Mata
影响因子：
5.2
作者：
Bouhier, Nicolas;Tournadre, Jean;Gourves-Cousin, Rozenn
通讯作者：
Gourves-Cousin, Rozenn