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描绘海冰浮冰的大小和形状。

Characterizing the size and shape of sea ice floes.

作者信息

Gherardi Marco, Lagomarsino Marco Cosentino

机构信息

1] Università degli Studi di Milano, Dip. Fisica, Via Celoria 16, 20133 Milano, Italy [2] I.N.F.N. Milano, Via Celoria 16, 20133 Milano, Italy.

1] CNRS, UMR 7238 [2] University Pierre et Marie Curie, 15 rue de l'École de Médecine Paris, France.

出版信息

Sci Rep. 2015 May 27;5:10226. doi: 10.1038/srep10226.

Abstract

Monitoring drift ice in the Arctic and Antarctic regions directly and by remote sensing is important for the study of climate, but a unified modeling framework is lacking. Hence, interpretation of the data, as well as the decision of what to measure, represent a challenge for different fields of science. To address this point, we analyzed, using statistical physics tools, satellite images of sea ice from four different locations in both the northern and southern hemispheres, and measured the size and the elongation of ice floes (floating pieces of ice). We find that (i) floe size follows a distribution that can be characterized with good approximation by a single length scale , which we discuss in the framework of stochastic fragmentation models, and (ii) the deviation of their shape from circularity is reproduced with remarkable precision by a geometric model of coalescence by freezing, based on random Voronoi tessellations, with a single free parameter expressing the shape disorder. Although the physical interpretations remain open, this advocates the parameters and as two independent indicators of the environment in the polar regions, which are easily accessible by remote sensing.

摘要

直接监测和通过遥感监测北极和南极地区的浮冰对气候研究很重要,但缺乏统一的建模框架。因此,数据的解读以及测量内容的决策对不同科学领域而言都是一项挑战。为解决这一问题,我们使用统计物理工具分析了来自北半球和南半球四个不同地点的海冰卫星图像,并测量了浮冰(漂浮的冰块)的大小和伸长率。我们发现:(i)浮冰大小遵循一种分布,该分布可用一个单一长度尺度很好地近似表征,我们在随机破碎模型框架下对此进行了讨论;(ii)基于随机沃罗诺伊镶嵌的冻结合并几何模型,以一个表示形状无序的单一自由参数,能以极高的精度再现其形状与圆形的偏差。尽管物理解释仍未明确,但这表明参数 和 是极地地区环境的两个独立指标,可通过遥感轻松获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f5d/4444847/72041620313c/srep10226-f1.jpg

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