Isolating and Reconstructing Key Components of North Atlantic Ocean Variability From a Sclerochronological Spatial Network

Isolating and Reconstructing Key Components of North Atlantic Ocean Variability From a Sclerochronological Spatial Network
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DOI:
10.1029/2018pa003366
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发表时间:
2018-10
影响因子:
3.5
通讯作者:
D. Reynolds;I. Hall;Sophie M. Slater;M. Mette;A. Wanamaker;J. Scourse;F. Garry;P. Halloran
D. Reynolds;I. Hall;Sophie M. Slater;M. Mette;A. Wanamaker;J. Scourse;F. Garry;P. Halloran
中科院分区:
地球科学2区
文献类型:
--
作者:
D. Reynolds;I. Hall;Sophie M. Slater;M. Mette;A. Wanamaker;J. Scourse;F. Garry;P. Halloran

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我们对北大西洋耦合气候系统内变化的理解受到仪器记录的简短性和绝对日期海洋代理的缺乏的限制。在这里,我们证明了海洋稳定氧同位素系列的空间网络来自软体动物sclerochronologies(δ 18 Oshell)可以提供熟练的每年解决重建的关键组成部分的北大西洋变化与绝对的定年精度。使用主成分分析法对常见的δ 18 Oshell变异性进行分析,突出显示了与北大西洋热带和副极地环流(SPG)海面温度和北大西洋海流(NAC)区域海面盐度的密切联系。这些分析表明,低频变率主要是由热带大西洋信号,而十年变化主要是由SPG和NAC中的盐度输送的变化。分裂校准和验证统计表明,使用主成分分析产生的复合系列可以提供熟练的定量重建的热带北大西洋和SPG海表面温度和NAC海表面盐度在工业时期(1864-2000年)。这些技术与扩展的个人δ 18 Oshell系列的应用提供了强大的基线记录过去北大西洋变化到未观察到的前工业化时期。这些记录对于我们了解北大西洋的自然气候变化及其在更广泛的气候系统中所起的作用至关重要,特别是在数十年至百年的时间尺度上,可能有助于减少未来气候预测的不确定性。
Our understanding of North Atlantic Ocean variability within the coupled climate system is limited by the brevity of instrumental records and a deficiency of absolutely dated marine proxies. Here we demonstrate that a spatial network of marine stable oxygen isotope series derived from molluscan sclerochronologies (δ18Oshell) can provide skillful annually resolved reconstructions of key components of North Atlantic Ocean variability with absolute dating precision. Analyses of the common δ18Oshell variability, using principal component analysis, highlight strong connections with tropical North Atlantic and subpolar gyre (SPG) sea surface temperatures and sea surface salinity in the North Atlantic Current (NAC) region. These analyses suggest that low‐frequency variability is dominated by the tropical Atlantic signal while decadal variability is dominated by variability in the SPG and salinity transport in the NAC. Split calibration and verification statistics indicate that the composite series produced using the principal component analysis can provide skillful quantitative reconstructions of tropical North Atlantic and SPG sea surface temperatures and NAC sea surface salinities over the industrial period (1864–2000). The application of these techniques with extended individual δ18Oshell series provides powerful baseline records of past North Atlantic variability into the unobserved preindustrial period. Such records are essential for developing our understanding of natural climate variability in the North Atlantic Ocean and the role it plays in the wider climate system, especially on multidecadal to centennial time scales, potentially enabling reduction of uncertainties in future climate predictions.