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Late Holocene climatic variability reconstructed from incremental data from pines and pearl mussels – a multi-proxy comparison of air and subsurface temperatures

机译:从松树和珍珠贻贝的增量数据重建的晚全新世气候变异性–空气和地下温度的多代理比较

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Dendrochronological and sclerochronological records are mean series of arboreal and molluscan increments that are correctly aligned in time by rigorous dating. These records of tree rings and annual shell-growth increments exhibit climate signals that can be used to reconstruct fluctuations and trends in past climates. Here we present a multi-proxy reconstruction of temperature histories using a combination of dendrochronological and scler-ochronological evidence. Regional curve standardization (RCS) was used to remove the non-climatic variations. from dendrochronological and sclerochronological series prior to palaeoclimatic interpretation. Conventional and signal-free methods of RCS were compared. It was found that the signal-free methods produced more reliable chronologies and systematically higher climate–proxy correlations. Consequently, the temperature reconstruction were derived using the chronologies constructed by this method. Proxy-based histories of summer (July–August) temperatures were reconstructed from AD 1767 onwards. The compound use of proxies resulted in reconstruction that were of higher quality than single-proxy reconstructions. Further improvement of reconstructions was ac- complished by the inclusion of lagging increment values in the transfer functions. The final multi-proxy model explained 58% of the temperature variance over the instrumental period. The multi-proxy temperature re-.. construction correlated well with the long records of instrumental temperatures from Tornedalen, St. Petersburg, Uppsala and Stockholm. Overall, the reconstruction for the past 250 years agreed reasonably well with borehole temperature reconstructions obtained in northern Finland. In general, this study demonstrates the benefits of the compound use of several proxies in reconstructing climate histories. In particular, the study emphasizes the so far largely unexploited advantages of multi-proxy data sets obtained by rigorously cross-dated incremental chron-ologies to produce more robust palaeoclimatic reconstructions.
机译:树木年代学和年代学记录是树木和软体动物增量的平均序列,通过严格的日期在时间上正确对齐。这些树木年轮和壳年生长增量的记录显示出气候信号,可用于重建过去气候的波动和趋势。在这里,我们结合树木年代学和年代论证据,提出了温度历史的多代理重建方法。使用区域曲线标准化(RCS)消除了非气候变化。来自古气候解释前的年代学和年代学系列。比较了传统的和无信号的RCS方法。研究发现,无信号方法产生了更可靠的时间顺序,并且系统地具有更高的气候-代理关系。因此,温度重建是通过使用这种方法构造的时间序列得出的。从公元1767年开始重建了夏季(7月至8月)气温的基于代理的历史记录。代理的复合使用导致重建的质量高于单代理重建。通过将滞后增量值包含在传递函数中,可以实现重构的进一步改进。最终的多代理模型解释了整个仪器期内58%的温度变化。多代理温度再构造与Tornedalen,圣彼得堡,乌普萨拉和斯德哥尔摩的仪器温度的长期记录密切相关。总体而言,过去250年的重建与芬兰北部获得的井眼温度重建相当吻合。总的来说,这项研究证明了几种代理的复合使用在重建气候历史中的好处。尤其是,该研究强调了到目前为止,通过严格交叉日期递增的年代学获得的多代理数据集在很大程度上尚未开发出的优势,以产生更可靠的古气候重构。

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