季节性速度模式为软床亚冰川水文连续体提供了洞察力
Jane K Hart1, Nathaniel R Baurley1, Amy Bonnie1
1School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ UK.
概括
了解冰川下水文是预测冰川撤退和海平面上升的关键. 这项研究揭示了从道到分布的亚冰川水流的频谱,可以使用卫星冰川速度数据识别.
科学领域:
- 冰川学的冰川学
- 地球科学 地球科学 地球科学
- 水文学的水文学
背景情况:
- 亚冰川水文学显著影响冰川的动态,影响冰川的撤退和海平面上升的贡献.
- 温带冰川表现出多样化的亚冰川水文系统,这些系统对于了解冰流至关重要.
研究的目的:
- 介绍四个软床温带冰川的亚冰川水文学的详细季节性数据集.
- 为了证明一个连续的冰下水文行为,从道化到分布式.
- 为了研究到谷粒大小和水下过程对这种水文连续性的影响.
主要方法:
- 从四个软床温带冰川收集详细的季节性数据.
- 亚冰川水文系统的分析,包括基底滑动和变形.
- 利用基于卫星的Sentinel-1冰川速度数据进行水文分类.
主要成果:
- 观察到一个连续的亚冰川水文学,从道化到多通道分布式系统.
- 迄今为止,谷粒大小和水下过程被确定为影响亚冰川水文连续性的因素.
- 不同的季节性速度模式与不同类型的亚冰川水文学有关.
- 冰川的水力学可以仅使用Sentinel-1卫星速度数据进行分类.
结论:
- 亚冰川的水文行为表现出由地质因素和过程影响的连续性.
- 基于卫星的冰川速度数据提供了一种可行的方法,可以在大型数据集中对亚冰川水文进行分类.
- 通过这种分类,可以在冰盖模型中更好地参数化冰下过程,从而提高海平面上升的预测.
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