Magnitude of the 8.2 ka event freshwater forcing based on stable isotope modelling and comparison to future Greenland melting.
Magnitude of the 8.2 ka event freshwater forcing based on stable isotope modelling and comparison to future Greenland melting.
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DOI：
10.1038/s41598-021-84709-5
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发表时间：
2021-03-09
影响因子：
4.6
通讯作者：
Mata MM
中科院分区：
文献类型：
--
作者：
Aguiar W;Meissner KJ;Montenegro A;Prado L;Wainer I;Carlson AE;Mata MM
约8200年前，北半球经历了一次由融水向拉布拉多海释放引发的8.2 ka突变冷事件，导致向极地海洋热输送减弱。虽然这一事件被认为是未来海洋环流变化的可能模拟，因为预计格陵兰冰盖（GIS）融化，但8.2 ka事件期间释放的淡水数量和速率的巨大不确定性使得这种比较变得困难。在这项研究中，我们比较了28个同位素模式模拟的海洋表面温度和氧同位素比率与35个古代用记录，以限制8.2 ka事件期间融水的释放。我们的研究结果表明，一千年释放的海平面上升当量（SLR）为5.3 m的融水，加上约130年的短暂强化（由于加拿大河流排放的路线增加了2.2 m的等效SLR），最好地再现了代用异常。我们的估计与在RCP8.5高排放情景下预测的未来GIS融化速率具有相同的数量级。
The northern hemisphere experienced an abrupt cold event ~ 8200 years ago (the 8.2 ka event) that was triggered by the release of meltwater into the Labrador Sea, and resulting in a weakening of the poleward oceanic heat transport. Although this event has been considered a possible analogue for future ocean circulation changes due to the projected Greenland Ice Sheet (GIS) melting, large uncertainties in the amount and rate of freshwater released during the 8.2 ka event make such a comparison difficult. In this study, we compare sea surface temperatures and oxygen isotope ratios from 28 isotope-enabled model simulations with 35 paleoproxy records to constrain the meltwater released during the 8.2 ka event. Our results suggest that a combination of 5.3 m of meltwater in sea level rise equivalent (SLR) released over a thousand years, with a short intensification over ~ 130 years (an additional 2.2 m of equivalent SLR) due to routing of the Canadian river discharge, best reproduces the proxy anomalies. Our estimate is of the same order of magnitude as projected future GIS melting rates under the high emission scenario RCP8.5.
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DOI：
10.1073/pnas.1116619109
发表时间：
2012-05-08
影响因子：
11.1
作者：
Clark, Peter U.;Shakun, Jeremy D.;Williams, John W.
通讯作者：
Williams, John W.
影响因子：
4
作者：
Aguiar, Wilton;Prado, Luciana F.;Mata, Mauricio M.
通讯作者：
Mata, Mauricio M.
影响因子：
5.8
作者：
Hijma, Marc P.;Cohen, Kim M.
通讯作者：
Cohen, Kim M.
影响因子：
64.8
作者：
Gregoire, Lauren J.;Payne, Antony J.;Valdes, Paul J.
通讯作者：
Valdes, Paul J.
影响因子：
4
作者：
Clarke, GKC;Leverington, DW;Dyke, AS
通讯作者：
Dyke, AS