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Exploration of Antarctic Ice Sheet 100-year contribution to sea level rise and associated model uncertainties using the ISSM framework

机译:利用ISSM框架探索南极冰盖100年对海平面上升的贡献以及相关的模型不确定性

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Estimating the future evolution of the Antarctic Ice Sheet (AIS) is critical for improving future sea level rise (SLR) projections. Numerical ice sheet models are invaluable tools for bounding Antarctic vulnerability; yet, few continental-scale projections of century-scale AIS SLR contribution exist, and those that do vary by up to an order of magnitude. This is partly because model projections of future sea level are inherently uncertain and depend largely on the model's boundary conditions and climate forcing, which themselves are unknown due to the uncertainty in the projections of future anthropogenic emissions and subsequent climate response. Here, we aim to improve the understanding of how uncertainties in model forcing and boundary conditions affect ice sheet model simulations. With use of sampling techniques embedded within the Ice Sheet System Model (ISSM) framework, we assess how uncertainties in snow accumulation, ocean-induced melting, ice viscosity, basal friction, bedrock elevation, and the presence of ice shelves impact continental-scale 100-year model simulations of AIS future sea level contribution. Overall, we find that AIS sea level contribution is strongly affected by grounding line retreat, which is driven by the magnitude of ice shelf basal melt rates and by variations in bedrock topography. In addition, we find that over 1.2?m of AIS global mean sea level contribution over the next century is achievable, but not likely, as it is tenable only in response to unrealistically large melt rates and continental ice shelf collapse. Regionally, we find that under our most extreme 100-year warming experiment generalized for the entire ice sheet, the Amundsen Sea sector is the most significant source of model uncertainty (1032?mm 6σ spread) and the region with the largest potential for future sea level contribution (297?mm). In contrast, under a more plausible forcing informed regionally by literature and model sensitivity studies, the Ronne basin has a greater potential for local increases in ice shelf basal melt rates. As a result, under this more likely realization, where warm waters reach the continental shelf under the Ronne ice shelf, it is the Ronne basin, particularly the Evans and Rutford ice streams, that are the greatest contributors to potential SLR (161?mm) and to simulation uncertainty (420?mm 6σ spread).
机译:估计南极冰盖(AIS)的未来发展对于改善未来的海平面上升(SLR)预测至关重要。冰盖数字模型是界定南极脆弱性的宝贵工具。但是,很少有世纪以来AIS SLR贡献的洲际尺度预测,并且它们之间的变化幅度高达一个数量级。部分原因是,对未来海平面的模型预测具有内在的不确定性,并且很大程度上取决于模型的边界条件和气候强迫,由于未来人为排放量和后续气候响应的预测存在不确定性,因此它们本身是未知的。在这里,我们旨在增进对模型强迫和边界条件中的不确定性如何影响冰盖模型模拟的理解。通过使用冰盖系统模型(ISSM)框架内嵌入的采样技术,我们评估积雪,海洋引起的融化,冰黏度,基底摩擦,基岩高程和冰架存在的不确定性如何影响大陆规模100年对AIS未来海平面贡献的模型模拟。总体而言,我们发现AIS的海平面贡献受接地线后退的强烈影响,这是由冰架基础融化速率的大小和基岩地形变化引起的。此外,我们发现下个世纪AIS在全球平均海平面上的贡献超过1.2?m,但这是不可能的,因为只有在不切实际的大融化速率和大陆冰架坍塌的情况下,这一点才是成立的。在区域上,我们发现,在针对整个冰盖进行的最极端的100年变暖实验中,阿蒙森海域是模型不确定性(1032?mm6σ扩散)的最重要来源,也是未来海域潜力最大的地区水平贡献(297毫米)。相比之下,根据文献和模型敏感性研究,在更合理的区域强迫下,罗讷盆地有更大的潜力在局部增加冰架基础融化速率。结果,在这种更可能的实现方式下,温暖的水到达了Ronne冰架下面的大陆架,正是Ronne盆地,尤其是Evans和Rutford冰流,对潜在的SLR(161?mm)贡献最大。并模拟不确定性(420?mm6σ扩展)。

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