Reconstructing North Atlantic marine climate variability using an absolutely-dated sclerochronological network
Reconstructing North Atlantic marine climate variability using an absolutely-dated sclerochronological network
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DOI：
10.1016/j.palaeo.2016.08.006
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
D. Reynolds;C. Richardson;J. Scourse;P. Butler;P. Hollyman;A. Román-González;I. Hall
中科院分区：
文献类型：
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作者：
D. Reynolds;C. Richardson;J. Scourse;P. Butler;P. Hollyman;A. Román-González;I. Hall
重建区域到半球尺度的气候变异性需要应用具有空间代表性和对气候敏感的替代档案。树状年表的大型空间网络促进了大西洋系统大气可变性和推断可变性的重建。然而，由于个别绝对过时的海洋档案数量很少，海洋环境迄今缺乏空间网络方法的直接应用。在这项研究中，我们首次分析了海洋双壳动物甘草和北极双壳动物的年分辨生长增量宽度年表网络。该网络包含8个年表，横跨从爱尔兰海南部到苏格兰西北部的英国西部大陆架，绵延500公里。对各个年表和一系列气候指数，包括大西洋年代际涛动(AMO)、英格兰中部地面气温(CET)、东北大西洋海面温度(SST)和冬季北大西洋涛动(WNAO)的相关分析表明，尽管地理位置遥远，海洋环境的异质性，但这些序列的增量宽度变化包含一个可能由对变化的环境强迫的共同反应驱动的一致性元素。使用嵌套主成分分析(PCA)构建了五个复合序列，它们可以解释单个年表中31%到74%的方差。线性回归分析表明，合成序列可以解释东北大西洋海温在校准期(1975-2000年)内41%的方差。定标验证(减少误差[RE]和效率系数[CE])统计表明，合成序列在重建过去两个世纪(1805-2010年)多年代际东北大西洋海温变率方面具有重要技能。这些数据表明，从固体年代学网络得到的复合系列可以促进对过去几个世纪至几千年的海洋气候的有力重建，提供关于自然海洋变异性的宝贵基线记录。
Reconstructing regional to hemispheric-scale climate variability requires the application of spatially representative and climatically sensitive proxy archives. Large spatial networks of dendrochronologies have facilitated the reconstruction of atmospheric variability and inferred variability in the Atlantic Ocean system. However, the marine environment has hitherto lacked the direct application of the spatial network approach because of the small number of individual absolutely-dated marine archives. In this study we present the first analyses of a network of absolutely-dated annually-resolved growth increment width chronologies from the marine bivalvesGlycymeris glycymerisandArctica islandica. The network contains eight chronologies spanning > 500 km along the western British continental shelf from the southern Irish Sea to North West Scotland. Correlation analysis of the individual chronologies and a suite of climate indices, including the Atlantic Multidecadal Oscillation (AMO), Central England surface air temperature (CET), northeast Atlantic sea surface temperatures (SST's) and the winter North Atlantic Oscillation (wNAO), demonstrates that, despite the large geographical distances been sites and the heterogeneous nature of the marine environment, the increment width variability in these series contains an element of coherence likely driven by a common response to changing environmental forcing. A nested Principal component analysis (PCA) was used to construct five composite series which explain between 31% and 74% of the variance across the individual chronologies. Linear regression analyses indicate that the composite series explain up to 41% of the variance in Northeast Atlantic SSTs over the calibration period (1975–2000). Calibration verification (reduction of error [RE] and coefficient of efficiency [CE]) statistics indicate that the composite series contains significant skill at reconstructing multi-decadal northeast Atlantic SST variability over the past two centuries (1805–2010). These data suggest that composite series derived from sclerochronology networks can facilitate the robust reconstruction of marine climate over past centuries to millennia providing invaluable baseline records of natural oceanographic variability.