Characterizing the size and shape of sea ice floes

被引:0
|
作者
Marco Gherardi
Marco Cosentino Lagomarsino
机构
[1] Università degli Studi di Milano,
[2] Dip. Fisica,undefined
[3] I.N.F.N. Milano,undefined
[4] CNRS,undefined
[5] UMR 7238,undefined
[6] University Pierre et Marie Curie,undefined
来源
Scientific Reports | / 5卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
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 [inline-graphic not available: see fulltext], 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 [inline-graphic not available: see fulltext] expressing the shape disorder. Although the physical interpretations remain open, this advocates the parameters [inline-graphic not available: see fulltext] and [inline-graphic not available: see fulltext] as two independent indicators of the environment in the polar regions, which are easily accessible by remote sensing.
引用
收藏
相关论文
共 50 条
  • [22] The Identification of Ice Floes and Calculation of Sea Ice Concentration Based on a Deep Learning Method
    Zhou, Li
    Cai, Jinyan
    Ding, Shifeng
    REMOTE SENSING, 2023, 15 (10)
  • [23] Superimposed-ice formation in summer on Ross Sea pack-ice floes
    Kawamura, T
    Jeffries, MO
    Tison, JL
    Krouse, HR
    ANNALS OF GLACIOLOGY, VOL 39, 2004, 2004, 39 : 563 - 568
  • [24] Level Set Discrete Element Method for modeling sea ice floes
    Lopez, Rigoberto Moncada
    Gupta, Mukund
    Thompson, Andrew
    Andrade, Jose
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 406
  • [25] Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes
    Chen, Nan
    Deng, Quanling
    Stechmann, Samuel
    SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 2022, 10 (04): : 1384 - 1409
  • [26] Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2
    Gupta, Mukund
    Regan, Heather
    Koo, Younghyun
    Chua, Sean Minhui Tashi
    Li, Xueke
    Heil, Petra
    CRYOSPHERE, 2025, 19 (03): : 1241 - 1257
  • [27] PARTICLE-CONTINUUM MULTISCALE MODELING OF SEA ICE FLOES\ast
    Deng, Quanling
    Stechmann, Samuel N.
    Chen, Nan
    MULTISCALE MODELING & SIMULATION, 2024, 22 (01): : 230 - 255
  • [28] Modelling the rheology of sea ice as a collection of diamond-shaped floes
    Wilchinsky, Alexander V.
    Feltham, Daniel L.
    JOURNAL OF NON-NEWTONIAN FLUID MECHANICS, 2006, 138 (01) : 22 - 32
  • [29] Measurements on the drift tracks of sea ice floes in arctic with GPS technology
    Dong, XL
    Li, ZJ
    Zhang, ZH
    Zhi, C
    Shan, M
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 6877 - 6880
  • [30] Characterization of the sea-ice floes issuing from their fractal properties
    Chmel, A
    Smirnov, VN
    Panov, LV
    INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 2003, 13 (01) : 1 - 3