Late Pleistocene glacial terminations accelerated by proglacial lakes

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Meike D. W. Scherrenberg, Constantijn J. Berends, Roderik S. W. van de Wal
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引用次数: 0

Abstract

Abstract. During the glacial cycles of the past 800 000 years, Eurasia and North America were periodically covered by large ice sheets, causing up to 100 m of sea-level change. While Late Pleistocene glacial cycles typically lasted 80 000–120 000 years, the termination phases were completed in only 10 000 years. During these glacial terminations, the North American and Eurasian ice sheets retreated, which created large proglacial lakes in front of the ice-sheet margin. Proglacial lakes accelerate deglaciation as they facilitate the formation of ice shelves at the southern margins of the North American and Eurasian ice sheets. These ice shelves are characterized by basal melting, low surface elevations, and negligible friction at the base. Here, we use an ice-sheet model to quantify the (combined) effects of proglacial lakes on Late Pleistocene glacial terminations by examining their interplay with glacial isostatic adjustment (GIA) and basal sliding. We find that proglacial lakes accelerate the deglaciation of ice sheets mainly because there is an absence of basal friction underneath ice shelves. If friction underneath grounded ice is applied to floating ice, full deglaciation is postponed by a few millennia, resulting in more ice remaining during interglacial periods and no extensive ice shelves forming. Additionally, the large uncertainty in melt rates underneath lacustrine ice shelves translates to an uncertainty in the timing of the termination of up to a millennium. Proglacial lakes are created by depressions in the landscape that remain after an ice sheet has retreated. The depth, size, and timing of proglacial lakes depend on the rate of bedrock rebound. We find that if bedrock rebounds within a few centuries (rather than a few millennia), the mass loss rate of the ice sheet is substantially reduced. This is because fast bedrock rebound prevents the formation of extensive proglacial lakes. Additionally, a decrease in ice thickness is partly compensated for by faster bedrock rebound, resulting in a higher surface elevation; lower temperatures; and a higher surface mass balance, which delays deglaciation. We find that a very long bedrock relaxation time does not substantially affect terminations, but it may lead to a delayed onset of the next glacial period. This is because inception regions, such as northwestern Canada, remain below sea level throughout the preceding interglacial period.
晚更新世冰川的终止因冰川湖而加速
摘要在过去 80 万年的冰川周期中,欧亚大陆和北美洲周期性地被大冰盖覆盖,导致海平面变化高达 100 米。晚更新世冰川周期通常持续 80 000-120 000 年,而冰川周期的终止阶段仅持续 10 000 年。在这些冰川终止期间,北美和欧亚冰原后退,在冰原边缘前方形成了大型冰川湖。冰川湖加速了冰川的消融,因为它们促进了北美和欧亚冰原南缘冰架的形成。这些冰架的特点是基底融化、表面海拔低、基底摩擦力小。在这里,我们利用冰盖模型,通过研究冰盖与冰川等静力调整(GIA)和基底滑动的相互作用,量化了冰川湖泊对晚更新世冰川终止的(综合)影响。我们发现,冰川湖加速了冰原的消融,这主要是因为冰架下缺乏基底摩擦力。如果浮冰也受到接地冰下的摩擦力作用,冰盖的完全消融就会推迟几千年,从而使更多的冰在间冰期剩余下来,也不会形成大面积的冰架。此外,湖底冰架下的融化率存在很大的不确定性,这也导致冰期结束的时间存在长达千年的不确定性。冰川湖是由冰原后留下的地貌洼地形成的。冰川湖的深度、大小和形成时间取决于基岩反弹的速度。我们发现,如果基岩在几个世纪(而不是几千年)内反弹,冰盖的质量损失率就会大大降低。这是因为快速的基岩反弹会阻止大面积冰川湖的形成。此外,冰层厚度的减少在一定程度上被更快的基岩反弹所补偿,从而导致更高的地表海拔、更低的温度和更高的地表质量平衡,从而推迟了冰川退化。我们发现,很长的基岩松弛时间不会对冰川期的终止产生实质性影响,但可能会导致下一个冰川期的延迟开始。这是因为在前一个间冰期的整个过程中,加拿大西北部等内陆地区一直处于海平面以下。
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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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