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季节性流速模式为软床冰下水文学连续体提供了见解。

Seasonal velocity patterns provide insights for the soft-bed subglacial hydrology continuum.

作者信息

Hart Jane K, Baurley Nathaniel R, Bonnie Amy, Robson Benjamin A, Bragg Graeme, Martinez Kirk

机构信息

School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ UK.

Department of Earth Science, University of Bergen and Bjerknes Centre for Climate Change, 5020 Bergen, Norway.

出版信息

Commun Earth Environ. 2025;6(1):223. doi: 10.1038/s43247-025-02198-0. Epub 2025 Mar 21.

Abstract

Subglacial hydrology plays an important role in controlling glacier behaviour, influencing glacier retreat and the resulting contributions to sea level rise. Here we present a detailed seasonal data set from four soft-bedded temperate glaciers and demonstrate a continuum of subglacial hydrology from channelized to a multichannel distributed behaviour. Our results illustrate how this continuum may be affected by till grain size and subaqueous processes, and we quantify the relative timings of basal sliding and deformation. These different hydrologies have a distinctive seasonal velocity pattern, which although have been identified using a multi-data stream, we suggest can be classified using solely Sentinel-1 satellite-based glacier velocity data. The ability to categorize subglacial glacier hydrology over a much larger data set would allow a better parameterization of subglacial processes for ice sheet models.

摘要

冰下水文学在控制冰川行为、影响冰川退缩以及由此导致的海平面上升方面起着重要作用。在这里,我们展示了来自四个软底温带冰川的详细季节性数据集,并证明了从河道化到多通道分布式行为的冰下水文学连续体。我们的结果说明了这种连续体如何受到冰碛粒度和水下过程的影响,并且我们量化了底部滑动和变形的相对时间。这些不同的水文状况具有独特的季节性速度模式,尽管这是通过多数据流识别出来的,但我们建议仅使用基于哨兵-1卫星的冰川速度数据就可以进行分类。在更大的数据集上对冰下冰川水文状况进行分类的能力将使冰盖模型的冰下过程参数化更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29fe/11928315/981f69f19f04/43247_2025_2198_Fig1_HTML.jpg

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