Han Weiqing, Meehl Gerald A, Stammer Detlef, Hu Aixue, Hamlington Benjamin, Kenigson Jessica, Palanisamy Hindumathi, Thompson Philip
1Department of Atmospheric and Oceanic Sciences, University of Colorado, UCB 311, Boulder, CO 80309 USA.
2Climate and Global Division, National Center for Atmospheric Research, Boulder, CO 80307 USA.
Surv Geophys. 2017;38(1):217-250. doi: 10.1007/s10712-016-9386-y. Epub 2016 Oct 4.
Sea level rise (SLR) can exert significant stress on highly populated coastal societies and low-lying island countries around the world. Because of this, there is huge societal demand for improved decadal predictions and future projections of SLR, particularly on a local scale along coastlines. Regionally, sea level variations can deviate considerably from the global mean due to various geophysical processes. These include changes of ocean circulations, which partially can be attributed to natural, internal modes of variability in the complex Earth's climate system. Anthropogenic influence may also contribute to regional sea level variations. Separating the effects of natural climate modes and anthropogenic forcing, however, remains a challenge and requires identification of the imprint of specific climate modes in observed sea level change patterns. In this paper, we review our current state of knowledge about spatial patterns of sea level variability associated with natural climate modes on interannual-to-multidecadal timescales, with particular focus on decadal-to-multidecadal variability. Relevant climate modes and our current state of understanding their associated sea level patterns and driving mechanisms are elaborated separately for the Pacific, the Indian, the Atlantic, and the Arctic and Southern Oceans. We also discuss the issues, challenges and future outlooks for understanding the regional sea level patterns associated with climate modes. Effects of these internal modes have to be taken into account in order to achieve more reliable near-term predictions and future projections of regional SLR.
海平面上升(SLR)会给世界上人口密集的沿海地区和地势低洼的岛国带来巨大压力。因此,社会对改进海平面上升的年代际预测和未来预估有着巨大需求,尤其是在沿海地区的局部尺度上。在区域尺度上,由于各种地球物理过程,海平面变化可能与全球平均值有很大偏差。这些过程包括海洋环流的变化,部分可归因于复杂地球气候系统中自然的、内部的变率模式。人为影响也可能导致区域海平面变化。然而,区分自然气候模式和人为强迫的影响仍然是一项挑战,需要在观测到的海平面变化模式中识别特定气候模式的印记。在本文中,我们回顾了目前关于年际到年代际时间尺度上与自然气候模式相关的海平面变率空间模式的知识状态,特别关注年代际到多年代际变率。分别针对太平洋、印度洋、大西洋以及北冰洋和南大洋阐述了相关气候模式以及我们目前对其相关海平面模式和驱动机制的理解状态。我们还讨论了理解与气候模式相关的区域海平面模式所面临的问题、挑战和未来展望。为了实现更可靠的区域海平面上升近期预测和未来预估,必须考虑这些内部模式的影响。