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基于树木年轮的气候重建中的决策影响。

The influence of decision-making in tree ring-based climate reconstructions.

机构信息

Department of Geography, University of Cambridge, Cambridge, UK.

Swiss Federal Research Institute (WSL), Birmensdorf, Switzerland.

出版信息

Nat Commun. 2021 Jun 7;12(1):3411. doi: 10.1038/s41467-021-23627-6.

Abstract

Tree-ring chronologies underpin the majority of annually-resolved reconstructions of Common Era climate. However, they are derived using different datasets and techniques, the ramifications of which have hitherto been little explored. Here, we report the results of a double-blind experiment that yielded 15 Northern Hemisphere summer temperature reconstructions from a common network of regional tree-ring width datasets. Taken together as an ensemble, the Common Era reconstruction mean correlates with instrumental temperatures from 1794-2016 CE at 0.79 (p < 0.001), reveals summer cooling in the years following large volcanic eruptions, and exhibits strong warming since the 1980s. Differing in their mean, variance, amplitude, sensitivity, and persistence, the ensemble members demonstrate the influence of subjectivity in the reconstruction process. We therefore recommend the routine use of ensemble reconstruction approaches to provide a more consensual picture of past climate variability.

摘要

树木年轮年表是大多数定年分辨率的新纪元气候重建的基础。然而,它们是使用不同的数据集和技术得出的,其影响迄今尚未得到充分探讨。在这里,我们报告了一项双盲实验的结果,该实验从一个共同的区域树木年轮宽度数据集网络中得出了 15 个北半球夏季温度重建。作为一个整体,共同纪元的重建平均值与 1794-2016CE 年的仪器温度相关,相关系数为 0.79(p<0.001),揭示了大型火山爆发后夏季的冷却,并且自 20 世纪 80 年代以来表现出强烈的变暖。由于平均值、方差、幅度、灵敏度和持久性的不同,成员展示了重建过程中的主观性影响。因此,我们建议常规使用集合重建方法,以提供过去气候变化更一致的图景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1035/8184857/7aa6ad217b2e/41467_2021_23627_Fig1_HTML.jpg

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