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格陵兰岛49个潮水冰川的正面废弃数据集

Dominik Fahrner^1,2, Donald A Slater³, Aman Kc⁴

¹University of Oregon, Department of Earth Sciences, Eugene, OR, USA. domfa@geus.dk.

Scientific data

|April 10, 2025

概括

这项研究为49个格陵兰的潮水冰川提供了前部剥离的新数据集. 这种改进的数据解释了终端位置的变化,提高了冰盖模型的准确性.

科学领域:

冰川学的冰川学
气候科学气候科学
地球系统科学地球系统科学

背景情况:

额头切除 (冰山切割,融化) 对于冰盖模型至关重要,但很难测量.
以前的估计经常使用冰排放近似的额头除,忽视终端动态.

研究的目的:

为49个格陵兰岛的潮水冰川创建一组前部废弃估计数据集.
通过结合终端位置变化来提高冰盖模型的准确性.

主要方法:

使用的终端位置数据 (TermPicks) 和冰厚数据 (ArcticDEM,AeroDEM,Bedmachine v5) 从1987年到2020年.
计算了接近终点的体积变化,假设垂直终点几何形状和均的冰密度.
估计的正面剥离作为质量流和因终端位置移动而导致的质量变化之间的残余.

主要成果:

创建了一个新的数据集,对49个格陵兰岛的潮水冰川进行额头除估计.
数据集考虑了终端位置变化的影响,提供了更精细的测量.

结论:

新的正面剥离数据集为了解冰的动态提供了有价值的数据.
这一数据集将有助于提高数值冰盖模型的后投和投影能力.

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Global Climate Change

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.