>One of the largest sources of uncertainty in sea level rise prediction is glacial acceleration, of which the surge phenomenon'/> Crevasses as Indicators of Surge Dynamics in the Bering Bagley Glacier System, Alaska: Numerical Experiments and Comparison to Image Data Analysis
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首页> 外文期刊>Journal of geophysical research. Earth Surface: JGR >Crevasses as Indicators of Surge Dynamics in the Bering Bagley Glacier System, Alaska: Numerical Experiments and Comparison to Image Data Analysis
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Crevasses as Indicators of Surge Dynamics in the Bering Bagley Glacier System, Alaska: Numerical Experiments and Comparison to Image Data Analysis

机译：裂缝作为Bight Bagley冰川系统中的浪涌动力学指标，阿拉斯加：数值实验和图像数据分析的比较

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摘要

>One of the largest sources of uncertainty in sea level rise prediction is glacial acceleration, of which the surge phenomenon is the least understood type. The surge of the Bering Bagley Glacier System (BBGS), Alaska, in 2011–2013 has provided a rare opportunity to study the surge phenomenon in a large and complex glacier system. A surge results in widespread crevassing throughout the glacier system complicating many traditional techniques used to study glacier dynamics. In this paper, we utilize crevassing as a means to investigate the recent BBGS surge through numerical modeling and geostatistical data analysis. Following the principles of structural glaciology, image‐based crevasse characterizations are obtained through geostatistical methods applied to Landsat‐7 data, supplemented by airborne field observations. On the modeling side, a 3‐D full‐Stokes finite element model of the BBGS is developed and applied to investigate ice dynamics and surface structures during the recent surge. A von Mises criterion is adopted to simulate crevassing at the glacier surface, oriented along the axes of maximum principal tensile stress. To facilitate evaluation of model‐ and data‐derived crevasse characteristics, three different comparison methods are introduced. General agreement in the model‐data comparisons indicates that the model has the ability to represent the BBGS system during peak acceleration. The crevasse‐based approach is also employed to optimize the basal sliding parameter and the von Mises stress threshold in the model. Results further indicate that bed topography is an important constraint in modeling the surge process.
机译：

海平面上升预测的最大不确定性源之一是冰川加速，其中浪涌现象是最不理解的类型。 2011-2013在2011 - 2013年，Alaska的Bering Bagley冰川系统（BBGS）的激增提供了难得的机会，可以在大型和复杂的冰川系统中研究浪涌现象。在整个冰川系统中，激增导致广泛的裂缝，使许多用于研究冰川动态的传统技术。在本文中，我们利用裂缝作为调查最近通过数值建模和地统计数据分析来调查最近的BBGS浪涌的手段。通过结构冰川结构的原理，通过应用于Landsat-7数据的地质统计方法获得基于图像的裂隙特征，补充了空降场观察。在建模侧，开发了BBGS的3-D全斯托克斯有限元模型，并在最近的浪涌期间调查冰动力学和表面结构。采用VON误判标准来模拟冰川表面的裂隙，沿着最大主拉伸应力的轴线定向。为了促进评估模型和数据衍生的裂缝特性，引入了三种不同的比较方法。模型数据比较中的一般协议表明该模型能够在峰值加速期间表示BBGS系统。还采用基于裂缝的方法来优化模型中基底滑动参数和von误判压力阈值。结果进一步表明，床上地形是模拟浪涌过程的重要约束。

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