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Glacier Sliding from Space: Multi-Scale Remote Sensing, Geodesy, and Numerical Modeling to Understand Glacier Mechanics

机译:从太空滑行的冰川:多尺度遥感,大地测量学和数值建模,以了解冰川力学

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摘要

Glacier basal sliding is a poorly understood aspect of glacier mechanics, and its spatial and temporal distribution affects glacier change and the evolution of alpine landscapes. In these studies, we use on-glacier GPS, moderate- and high-resolution optical satellite imagery, and numerical ice flow modeling to investigate the mechanics of glacier sliding across a variety of scales.;First, we employ on-glacier GPS to investigate the intimate link between subglacial water pressure and the rate of glacier sliding in response to the onset of spring melting on Kennicott Glacier, Alaska. We find large diurnal glacier velocity fluctuations during times of high and rising water level on a well-connected ice-marginal lake. The ice surface speedup at an up-glacier station is first driven by longitudinal coupling to down-glacier ice, but then evolves to respond to local basal conditions.;We then utilize high-resolution WorldView satellite imagery to document the spatial pattern of the seasonal evolution of ice surface velocity over the 45 km2 terminal reach of Kennicott Glacier. We develop a numerical ice flow model to explore the distribution of basal sliding required to explain the observed surface speedup. We find the ice surface speedup is insensitive to the exact distribution of basal sliding, which may allow for simpler sliding parameterizations in glacier models.;Finally, we employ Landsat 8 satellite imagery to characterize the spatial patterns of glacier sliding over a 45,000 km2 area covering 64 glacier longitudinal profiles from ice divide to terminus. We find the entire ablation area of glaciers speeds up in a uniform manner, with the speedup magnitude insensitive to winter surface speeds. These patterns of sliding may drive patterns of glacier erosion that leads to the formation of icefalls.
机译:冰川基底滑动是冰川力学的一个鲜为人知的方面,其时空分布会影响冰川变化和高山景观的演变。在这些研究中,我们使用冰川GPS,中高分辨率和高分辨率的光学卫星图像以及数值冰流模型来研究冰川在各种尺度上滑动的机理。首先,我们采用冰川GPS来研究阿拉斯加肯尼科特冰川融化后,冰川下水压与冰川滑动速度之间的密切联系。在连接良好的冰缘湖上,当水位升高和上升时,我们发现昼夜冰川速度波动很大。上冰川站的冰面加速首先是通过与下冰川冰的纵向耦合来驱动的,然后演变以响应当地的基础条件;然后我们利用高分辨率的WorldView卫星图像来记录季节性的空间格局肯尼科特冰川45 km2终端范围的冰面速度演变。我们开发了一个数值冰流模型,以探索解释所观察到的表面加速所需的基础滑动分布。我们发现冰面加速对基础滑移的确切分布不敏感,这可能允许在冰川模型中进行更简单的滑移参数化;最后,我们使用Landsat 8卫星图像来表征45,000 km2覆盖的冰川滑行的空间模式从冰川到终点的64条冰川纵向剖面。我们发现冰川的整个消融区域以均匀的方式加速,其加速幅度对冬季表面速度不敏感。这些滑动方式可能会导致冰川侵蚀,从而导致冰雪形成。

著录项

  • 作者单位

    University of Colorado at Boulder.;

  • 授予单位 University of Colorado at Boulder.;
  • 学科 Geology.;Geophysics.;Geographic information science and geodesy.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 129 p.
  • 总页数 129
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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