Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ 08544, USA.
Proc Natl Acad Sci U S A. 2013 Feb 26;110(9):3264-9. doi: 10.1073/pnas.1214457110. Epub 2013 Feb 12.
Previous sea level rise (SLR) assessments have excluded the potential for dynamic ice loss over much of Greenland and Antarctica, and recently proposed "upper bounds" on Antarctica's 21st-century SLR contribution are derived principally from regions where present-day mass loss is concentrated (basin 15, or B15, drained largely by Pine Island, Thwaites, and Smith glaciers). Here, we present a probabilistic framework for assessing the ice sheet contribution to sea level change that explicitly accounts for mass balance uncertainty over an entire ice sheet. Applying this framework to Antarctica, we find that ongoing mass imbalances in non-B15 basins give an SLR contribution by 2100 that: (i) is comparable to projected changes in B15 discharge and Antarctica's surface mass balance, and (ii) varies widely depending on the subset of basins and observational dataset used in projections. Increases in discharge uncertainty, or decreases in the exceedance probability used to define an upper bound, increase the fractional contribution of non-B15 basins; even weak spatial correlations in future discharge growth rates markedly enhance this sensitivity. Although these projections rely on poorly constrained statistical parameters, they may be updated with observations and/or models at many spatial scales, facilitating a more comprehensive account of uncertainty that, if implemented, will improve future assessments.
先前的海平面上升(SLR)评估排除了格陵兰岛和南极洲大部分地区可能出现的动态冰损失,而最近提出的南极洲 21 世纪 SLR 贡献的“上限”主要来自于当前质量损失集中的地区(流域 15 或 B15,主要由松岛、思韦茨和史密斯冰川排水)。在这里,我们提出了一个评估冰盖对海平面变化贡献的概率框架,该框架明确考虑了整个冰盖的质量平衡不确定性。将该框架应用于南极洲,我们发现非 B15 流域持续的质量不平衡会导致到 2100 年海平面上升的贡献:(i)与 B15 排水量的预计变化和南极洲的表面质量平衡相当,(ii)取决于用于预测的流域子集和观测数据集而有很大差异。排放量不确定性的增加,或用于定义上限的超出概率的降低,都会增加非 B15 流域的贡献份额;即使未来排放量增长率的空间相关性很弱,也会显著增加这种敏感性。尽管这些预测依赖于约束性差的统计参数,但它们可以通过在许多空间尺度上进行观测和/或建模进行更新,从而更全面地考虑不确定性,如果实施,将改进未来的评估。