Crossover scaling phenomena for glaciers and ice caps

被引:1
作者
Bahr, David B. [1 ,2 ]
Pfeffer, W. Tad [1 ]
机构
[1] Regis Coll, Dept Phys & Astron, Denver, CO 80221 USA
[2] Univ Colorado, Inst Arctic & Alpine Res, UCB 450, Boulder, CO 80309 USA
关键词
ice caps; mountain glaciers; percolation; scaling; volume/area scaling; GLOBAL CLIMATE-CHANGE; SEA-LEVEL RISE; MOUNTAIN GLACIERS; RIVER NETWORKS; KEY INDICATORS; EUROPEAN ALPS; PERCOLATION; VOLUME; LAWS; MASS;
D O I
10.1017/jog.2016.6
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
While the terms 'glacier' and 'ice cap' have distinct morphological meanings, no easily defined boundary or transition distinguishes one from the other. Despite this, the exponent of the power law function relating volume to surface area differs sharply for glaciers and ice caps, suggesting a fundamental distinction beyond a smoothly transitioning morphology. A standard percolation technique from statistical physics is used to show that valley glaciers are in fact differentiated from ice caps by an abrupt geometric transition. The crossover is a function of increasing glacier thickness, but it owes its existence more to the nature of the underlying bedrock topography than to specifics of glacier mechanics: the crossover is caused by a switch from directed flow that is constrained by surrounding bedrock topography to unconstrained radial flow of thicker ice that has subsumed the topography. The crossover phenomenon is nonlinear and rapid so that few if any glaciers will have geometries or dynamics that blend the two extremes. The exponents of scaling relationships change abruptly at the crossover from one regime to another; in particular, the volume/area scaling exponent will switch from gamma = 1.375 for glaciers to gamma = 1.25 for ice caps, with few, if any, ice bodies having exponents that fall between these values.
引用
收藏
页码:299 / 309
页数:11
相关论文
共 51 条
  • [1] Glacier volume-area relation for high-order mechanics and transient glacier states
    Adhikari, S.
    Marshall, S. J.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2012, 39
  • [2] [Anonymous], 2011, IHP-VII Tech. Doc. in Hydrology 86, IACS Contribution 2
  • [3] [Anonymous], 1997, Fractals and chaos in geology and geophysics
  • [4] Termini of calving glaciers as self-organized critical systems
    Astrom, J. A.
    Vallot, D.
    Schafer, M.
    Welty, E. Z.
    O'Neel, S.
    Bartholomaus, T. C.
    Liu, Yan
    Riikila, T. I.
    Zwinger, T.
    Timonen, J.
    Moore, J. C.
    [J]. NATURE GEOSCIENCE, 2014, 7 (12) : 874 - 878
  • [5] A particle based simulation model for glacier dynamics
    Astrom, J. A.
    Riikila, T. I.
    Tallinen, T.
    Zwinger, T.
    Benn, D.
    Moore, J. C.
    Timonen, J.
    [J]. CRYOSPHERE, 2013, 7 (05) : 1591 - 1602
  • [6] A review of volume-area scaling of glaciers
    Bahr, David B.
    Pfeffer, W. Tad
    Kaser, Georg
    [J]. REVIEWS OF GEOPHYSICS, 2015, 53 (01) : 95 - 140
  • [7] Sea-level rise from glaciers and ice caps: A lower bound
    Bahr, David B.
    Dyurgerov, Mark
    Meier, Mark F.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [8] THEORY OF LATTICE BOLTZMANN SIMULATIONS OF GLACIER FLOW
    BAHR, DB
    RUNDLE, JB
    [J]. JOURNAL OF GLACIOLOGY, 1995, 41 (139) : 634 - 640
  • [9] Width and length scaling of glaciers
    Bahr, DB
    [J]. JOURNAL OF GLACIOLOGY, 1997, 43 (145) : 557 - 562
  • [10] Global distributions of glacier properties: A stochastic scaling paradigm
    Bahr, DB
    [J]. WATER RESOURCES RESEARCH, 1997, 33 (07) : 1669 - 1679