Assessment of the southern polar and subpolar warming in the PMIP4 Last Interglacial simulations using paleoclimate data syntheses

IF 3.8 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Qinggang Gao, Emilie Capron, Louise C. Sime, Rachael H. Rhodes, Rahul Sivankutty, Xu Zhang, Bette L. Otto-Bliesner, Martin Werner
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Abstract

Abstract. Given relatively abundant paleo proxies, the study of the Last Interglacial (LIG, ~129-116 thousand years ago, ka) is valuable to understanding natural variability and feedback in a warmer-than-preindustrial climate. The Paleoclimate Modelling Intercomparison Project Phase 4 (PMIP4) coordinated LIG model simulations which focus on 127 ka. Here we evaluate 12 PMIP4 127-ka Tier 1 model simulations against four recent paleoclimate syntheses of LIG sea and air temperatures and sea ice concentrations. The four syntheses include 99 reconstructions and show considerable variations, some but not all of which are attributable to the different sites included in each synthesis. All syntheses support the presence of a warmer Southern Ocean, with reduced sea ice, and a warmer Antarctica at 127 ka compared to the preindustrial. The PMIP4 127-ka Tier 1 simulations, forced solely by orbital parameters and greenhouse gas concentrations, do not capture the magnitude of this warming. Here we follow up on previous work that suggests the importance of preceding deglaciation meltwater release into the North Atlantic. We run a 3000-year 128-ka simulation using HadCM3 with a 0.25 Sv North Atlantic freshwater hosing, which approximates the PMIP4 127-ka Tier 2 H11 (Heinrich event 11) simulation. The hosed 128-ka HadCM3 simulation captures much of the warming and sea ice loss shown in the four data syntheses at 127 ka relative to preindustrial: south of 40° S, modelled annual sea surface temperature (SST) rises by 1.3±0.6 °C, while reconstructed average anomalies range from 2.2 °C to 2.7 °C; modelled summer SST increases by 1.1±0.7 °C, close to 1.2–2.2 °C reconstructed average anomalies; September sea ice area (SIA) reduces by 40 %, similar to reconstructed 40 % reduction of sea ice concentration (SIC); over the Antarctic ice sheet, modelled annual surface air temperature (SAT) increases by 2.6±0.4 °C, even larger than reconstructed average anomalies 2.2 °C. Our results suggest that the impacts of deglaciation ice sheet meltwater need to be considered to simulate the Southern Ocean and Antarctic changes at 127 ka.
利用古气候数据综合评估 PMIP4 末次冰期模拟中的南极和次极地变暖情况
摘要。由于有相对丰富的古代用指标,对末次冰期(LIG,约 12.9-1.6 万年前,ka)的研究对于了解比工业化前气候变暖时的自然变率和反馈非常有价值。古气候模拟相互比较项目第四阶段(PMIP4)协调了LIG模型模拟,重点是127 ka。在此,我们根据最近对 LIG 海洋和空气温度以及海冰浓度进行的四次古气候综合分析,对 12 个 PMIP4 127-ka 第 1 级模式模拟进行了评估。这四项综合包括 99 项重建,显示出相当大的差异,其中有些差异可归因于每项综合所包含的不同地点。与工业化前相比,所有合成结果都支持 127 ka 时南大洋较暖,海冰减少,南极洲较暖。PMIP4 127-ka 第 1 级模拟仅受轨道参数和温室气体浓度的影响,无法捕捉到这种变暖的程度。在此,我们对之前的工作进行了跟进,这些工作表明了之前脱冰期融水释放到北大西洋的重要性。我们使用 HadCM3 进行了为期 3000 年的 128ka 模拟,其中北大西洋淡水释放量为 0.25 Sv,近似 PMIP4 127ka 第 2 层 H11(海因里希事件 11)模拟。加水的 128-ka HadCM3 模拟捕捉到了四个数据综合中显示的 127 ka 相对于工业化前的大部分变暖和海冰损失:在南纬 40 度以南,模拟的年海面温度(SST)上升了 1.3±0.6 °C,而重建的平均异常值在 2.2 °C到 2.7 °C之间;模拟的夏季 SST 上升了 1.1±0.7 °C,接近重建平均异常值 1.2-2.2 °C;9 月海冰面积(SIA)减少 40%,与重建海冰浓度(SIC)减少 40% 相似;在南极冰盖上,模拟年表面气温(SAT)升高 2.6±0.4 °C,甚至高于重建平均异常值 2.2 °C。我们的结果表明,在模拟 127 ka 时南大洋和南极的变化时,需要考虑冰盖融水的影响。
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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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