Shifts in Greenland interannual climate variability lead Dansgaard-Oeschger abrupt warming by hundreds of years

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Chloe A. Brashear, Tyler R. Jones, Valerie Morris, Bruce H. Vaughn, William H. G. Roberts, William B. Skorski, Abigail G. Hughes, Richard Nunn, Sune Olander Rasmussen, Kurt M. Cuffey, Bo M. Vinther, Todd Sowers, Christo Buizert, Vasileios Gkinis, Christian Holme, Mari F. Jensen, Sofia E. Kjellman, Petra M. Langebroek, Florian Mekhaldi, Kevin S. Rozmiarek, Jonathan W. Rheinlænder, Margit Simon, Giulia Sinnl, Silje Smith-Johnsen, James W. C. White
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Abstract

Abstract. During the Last Glacial Period (LGP), Greenland experienced approximately thirty abrupt warming phases, known as Dansgaard-Oeschger (D-O) Events, followed by cooling back to baseline glacial conditions. Studies of mean climate change across warming transitions reveal indistinguishable phase-offsets between shifts in temperature, dust, sea salt, accumulation and moisture source, thus preventing a comprehensive understanding of the “anatomy” of D-O cycles (Capron et al,. 2021). One aspect of abrupt change that has not been systematically assessed is how high-frequency, interannual-scale climatic variability surrounding mean temperature changes across D-O transitions. Here, we utilize the EGRIP ice core high-resolution water isotope record, a proxy for temperature and atmospheric circulation, to quantify the amplitude of 7–15 year isotopic variability for D-O events 2–13, the Younger Dryas and the Bølling-Allerød. On average, cold stadial periods consistently exhibit greater variability than warm interstadial periods. Most notably, we often find that reductions in the amplitude of the 7–15 year band led abrupt D-O warmings by hundreds of years. Such a large phase offset between two climate parameters in a Greenland ice core has never been documented for D-O cycles. However, similar centennial lead times have been found in proxies of Norwegian Sea ice cover relative to abrupt Greenland warming (Sadatzki et al., 2020). Using HadCM3, a fully coupled general circulation model, we assess the effects of sea ice on 7–15 year temperature variability at EGRIP. For a range of stadial and interstadial conditions, we find a strong relationship in line with our observations between colder simulated mean temperature and enhanced temperature variability at the EGRIP location. We also find a robust correlation between year-to-year North Atlantic sea-ice fluctuations and the strength of interannual-scale temperature variability at EGRIP. Thus, both paleoclimate proxy evidence and model simulations suggest that sea ice plays a substantial role in high-frequency climate variability prior to D-O warming. This provides a clue about the anatomy of D-O Events and should be the target of future sea-ice model studies.
格陵兰年际气候变异性的变化导致丹斯加尔-奥斯赫格突然变暖数百年
摘要。在末次冰川期(LGP),格陵兰岛经历了约 30 个突然变暖阶段,即 Dansgaard-Oeschger 事件(D-O 事件),随后又冷却回冰川基线条件。对变暖过渡期间平均气候变化的研究显示,温度、沙尘、海盐、积聚和水分来源的变化之间存在难以区分的阶段性差异,因此无法全面了解 D-O 周期的 "解剖 "过程(Capron 等,2021 年)。骤变的一个尚未系统评估的方面是,围绕平均气温的高频、年际尺度气候变率在 D-O 转换过程中是如何变化的。在此,我们利用 EGRIP 冰芯高分辨率水同位素记录(温度和大气环流的替代物),量化了 D-O 事件 2-13、杨格干 旱期和博林-阿勒罗德 7-15 年同位素变率的幅度。平均而言,寒冷的间冰期比温暖的间冰期表现出更大的变异性。最值得注意的是,我们经常发现,7-15 年波段振幅的减小会导致 D-O 突然变暖数百年。格陵兰冰芯中两个气候参数之间如此大的相位偏移在 D-O 周期中从未有过记录。不过,挪威海冰盖的代用指标与格陵兰岛突然变暖之间也有类似的百年前导时间(Sadatzki 等人,2020 年)。利用完全耦合的大气环流模式 HadCM3,我们评估了海冰对 EGRIP 7-15 年温度变化的影响。在一系列阶段和阶段间条件下,我们发现在 EGRIP 地点,模拟平均温度较低与温度变异性增强之间存在密切关系,这与我们的观测结果一致。我们还发现,北大西洋海冰的逐年波动与 EGRIP 年际尺度温度变化的强度之间存在密切的相关性。因此,古气候代用证据和模式模拟都表明,在 D-O 暖化之前,海冰在高频气候变率中扮演了重要角色。这为 D-O 事件的剖析提供了线索,应成为未来海冰模式研究的目标。
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来源期刊
Climate of The Past
Climate of The Past 地学-气象与大气科学
CiteScore
7.40
自引率
14.00%
发文量
120
审稿时长
4-8 weeks
期刊介绍: Climate of the Past (CP) is a not-for-profit international scientific journal dedicated to the publication and discussion of research articles, short communications, and review papers on the climate history of the Earth. CP covers all temporal scales of climate change and variability, from geological time through to multidecadal studies of the last century. Studies focusing mainly on present and future climate are not within scope. The main subject areas are the following: reconstructions of past climate based on instrumental and historical data as well as proxy data from marine and terrestrial (including ice) archives; development and validation of new proxies, improvements of the precision and accuracy of proxy data; theoretical and empirical studies of processes in and feedback mechanisms between all climate system components in relation to past climate change on all space scales and timescales; simulation of past climate and model-based interpretation of palaeoclimate data for a better understanding of present and future climate variability and climate change.
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