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Bedrock topography reconstruction of glaciers from surface topography and mass-balance data

机译:根据表面地形和质量平衡数据重建冰川的基岩地形

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Three methods based on the three-dimensional shallow ice approximation of glacier flow are devised that infer a glacier's subglacial topography from the observation of its time-evolving surface and mass balance. The quasi-stationary inverse method relying on the apparent surface mass-balance description of the glacier's evolution is first exposed. Second, the transient inverse method that iter-atively updates the bedrock topography with the surface topography discrepancy is formulated. Third, a shape optimization algorithm is presented. The aim of the paper is to collect these methods, analyze their differences, and identify what brings the sophistication of shape optimization for reconstructing subglacial topographies. The three methods are compared to the ice thickness estimation method (ITEM) on direct measurements on Gries glacier, Swiss Alps. The paper concludes with a detailed discussion on the sensitivity of the shape optimization method to the model parameters.
机译:根据对冰川流动的三维浅冰近似,设计了三种方法,通过观察其随时间变化的表面和质量平衡来推断冰川的冰下地形。首先揭示了基于表观质量平衡描述冰川演化的准平稳反演方法。其次,提出了一种瞬态反演方法,该方法可迭代地更新基岩地形与表面地形差异。第三,提出一种形状优化算法。本文的目的是收集这些方法,分析它们的差异,并确定是什么导致了形状优化的复杂性,以重建冰下地形。在直接测量瑞士阿尔卑斯山的格里斯冰川时,将这三种方法与冰厚度估算方法(ITEM)进行了比较。本文最后详细讨论了形状优化方法对模型参数的敏感性。

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