A new model of dry firn-densification constrained by continuous strain measurements near South Pole

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL Journal of Glaciology Pub Date : 2023-11-06 DOI:10.1017/jog.2023.87
C. Max Stevens, David A. Lilien, Howard Conway, T. J. Fudge, Michelle R. Koutnik, Edwin D. Waddington
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Abstract

Abstract Converting measurements of ice-sheet surface elevation change to mass change requires measurements of accumulation and knowledge of the evolution of the density profile in the firn. Most firn-densification models are tuned using measured depth–density profiles, a method which is based on an assumption that the density profile in the firn is invariant through time. Here we present continuous measurements of firn-compaction rates in 12 boreholes near the South Pole over a 2 year period. To our knowledge, these are the first continuous measurements of firn compaction on the Antarctic plateau. We use the data to derive a new firn-densification algorithm framed as a constitutive relationship. We also compare our measurements to compaction rates predicted by several existing firn-densification models. Results indicate that an activation energy of 60 kJ mol −1 , a value within the range used by current models, best predicts the seasonal cycle in compaction rates on the Antarctic plateau. Our results suggest models can predict firn-compaction rates with at best 7% uncertainty and cumulative firn compaction on a 2 year timescale with at best 8% uncertainty.
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南极附近连续应变测量约束下的干硬化新模型
将冰盖表面高程变化的测量值转换为质量变化,需要测量冰层密度剖面演变的积累和知识。大多数地层密度模型都是使用测量的深度-密度剖面来调整的,这种方法是基于地层中的密度剖面随时间不变的假设。在这里,我们在南极附近的12个钻孔中连续测量了2年的坚硬压实率。据我们所知,这是第一次对南极高原冻土压实的连续测量。我们利用这些数据推导出一种新的以本构关系为框架的致密化算法。我们还将我们的测量结果与几种现有的公司致密化模型预测的压实率进行了比较。结果表明,60 kJ mol−1的活化能(在当前模式使用的范围内)最能预测南极高原压实速率的季节周期。我们的研究结果表明,模型可以预测固结压实率,不确定性最多为7%,而2年时间尺度上的累积固结压实率不确定性最多为8%。
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来源期刊
Journal of Glaciology
Journal of Glaciology 地学-地球科学综合
CiteScore
5.80
自引率
14.70%
发文量
101
审稿时长
6 months
期刊介绍: Journal of Glaciology publishes original scientific articles and letters in any aspect of glaciology- the study of ice. Studies of natural, artificial, and extraterrestrial ice and snow, as well as interactions between ice, snow and the atmospheric, oceanic and subglacial environment are all eligible. They may be based on field work, remote sensing, laboratory investigations, theoretical analysis or numerical modelling, or may report on newly developed glaciological instruments. Subjects covered recently in the Journal have included palaeoclimatology and the chemistry of the atmosphere as revealed in ice cores; theoretical and applied physics and chemistry of ice; the dynamics of glaciers and ice sheets, and changes in their extent and mass under climatic forcing; glacier energy balances at all scales; glacial landforms, and glaciers as geomorphic agents; snow science in all its aspects; ice as a host for surface and subglacial ecosystems; sea ice, icebergs and lake ice; and avalanche dynamics and other glacial hazards to human activity. Studies of permafrost and of ice in the Earth’s atmosphere are also within the domain of the Journal, as are interdisciplinary applications to engineering, biological, and social sciences, and studies in the history of glaciology.
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