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Sensitivity of ice loss to uncertainty in flow law parameters in an idealized one-dimensional geometry

机译:理想的一维几何中流动法参数对不确定性的抗性敏感性

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Acceleration of the flow of ice drives mass losses in both the Antarctic and the Greenland Ice Sheet. The projections of possible future sea-level rise rely on numerical ice-sheet models, which solve the physics of ice flow, melt, and calving. While major advancements have been made by the ice-sheet modeling community in addressing several of the related uncertainties, the flow law, which is at the center of most process-based ice-sheet models, is not in the focus of the current scientific debate. However, recent studies show that the flow law parameters are highly uncertain and might be different from the widely accepted standard values. Here, we use an idealized flow-line setup to investigate how these uncertainties in the flow law translate into uncertainties in flow-driven mass loss. In order to disentangle the effect of future warming on the ice flow from other effects, we perform a suite of experiments with the Parallel Ice Sheet Model (PISM), deliberately excluding changes in the surface mass balance. We find that changes in the flow parameters within the observed range can lead up to a doubling of the flow-driven mass loss within the first centuries of warming, compared to standard parameters. The spread of ice loss due to the uncertainty in flow parameters is on the same order of magnitude as the increase in mass loss due to surface warming. While this study focuses on an idealized flow-line geometry, it is likely that this uncertainty carries over to realistic three-dimensional simulations of Greenland and Antarctica.
机译:南极和格陵兰冰盖中的冰流量的加速度。可能的未来海平面上升的预测依赖于数值冰板型号,该模型解决了冰流,熔体和产犊的物理学。虽然ICE-Sheet模型社区在解决了几个相关的不确定性方面,其在大多数基于过程的冰纸模型的中心的流动法中取得了重大进步,但在目前的科学辩论的重点中,流量法。然而,最近的研究表明,流量法参数非常不确定,可能与广泛接受的标准值不同。在这里,我们使用理想化的流线设置来研究流动法中的这些不确定性如何转化为流动的质量损失的不确定性。为了解开从其他效果的冰流中的未来变暖的效果,我们用平行的冰板模型(术)进行一套实验,故意排除表面质量平衡的变化。我们发现,与标准参数相比,观察范围内的流量参数的变化可以在第一世纪中导致流动的质量损失增加一倍。由于流量参数的不确定性导致的冰损的传播与由于表面变暖引起的质量损失增加相同。虽然该研究侧重于理想化的流线几何形状,但这种不确定性很可能会对格陵兰和南极的现实三维模拟。

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