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海洋冰架不稳定性加剧并扭曲了未来海平面上升预测的不确定性。

Marine ice sheet instability amplifies and skews uncertainty in projections of future sea-level rise.

机构信息

School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30318;

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.

出版信息

Proc Natl Acad Sci U S A. 2019 Jul 23;116(30):14887-14892. doi: 10.1073/pnas.1904822116. Epub 2019 Jul 8.

Abstract

Sea-level rise may accelerate significantly if marine ice sheets become unstable. If such instability occurs, there would be considerable uncertainty in future sea-level rise projections due to imperfectly modeled ice sheet processes and unpredictable climate variability. In this study, we use mathematical and computational approaches to identify the ice sheet processes that drive uncertainty in sea-level projections. Using stochastic perturbation theory from statistical physics as a tool, we show mathematically that the marine ice sheet instability greatly amplifies and skews uncertainty in sea-level projections with worst-case scenarios of rapid sea-level rise being more likely than best-case scenarios of slower sea-level rise. We also perform large ensemble simulations with a state-of-the-art ice sheet model of Thwaites Glacier, a marine-terminating glacier in West Antarctica that is thought to be unstable. These ensemble simulations indicate that the uncertainty solely related to internal climate variability can be a large fraction of the total ice loss expected from Thwaites Glacier. We conclude that internal climate variability alone can be responsible for significant uncertainty in projections of sea-level rise and that large ensembles are a necessary tool for quantifying the upper bounds of this uncertainty.

摘要

如果海洋冰架变得不稳定,海平面上升可能会显著加速。如果这种不稳定性发生,由于对冰架过程的建模不完善和不可预测的气候变率,未来海平面上升的预测将存在相当大的不确定性。在这项研究中,我们使用数学和计算方法来确定导致海平面预测不确定性的冰架过程。我们使用统计物理学中的随机摄动理论作为工具,从数学上表明,海洋冰架的不稳定性极大地放大和扭曲了海平面预测的不确定性,最坏情况下的海平面快速上升比最佳情况下的海平面缓慢上升更有可能。我们还对位于南极洲西部的思韦茨冰川的一个最先进的冰架模型进行了大规模的集合模拟,思韦茨冰川被认为是不稳定的。这些集合模拟表明,仅与内部气候变率相关的不确定性就可能是思韦茨冰川预计总冰损失的很大一部分。我们的结论是,内部气候变率本身就可以导致海平面上升预测的显著不确定性,而大型集合是量化这种不确定性上限的必要工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71eb/6660720/39ba40713460/pnas.1904822116fig01.jpg

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