中国科学:地球科学(英文版)2024,Vol.67Issue(8) :2522-2534.DOI:10.1007/s11430-024-1348-3

The influence of proxy selection on global annual mean temperature reconstructions during the Common Era

Bao YANG Xia LI Minhui HE Feng WANG Yesi ZHAO Peng ZHANG Jianglin WANG
中国科学:地球科学(英文版)2024,Vol.67Issue(8) :2522-2534.DOI:10.1007/s11430-024-1348-3

The influence of proxy selection on global annual mean temperature reconstructions during the Common Era

Bao YANG 1Xia LI 2Minhui HE 2Feng WANG 3Yesi ZHAO 4Peng ZHANG 4Jianglin WANG2
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作者信息

  • 1. Frontiers Science Center for Critical Earth Material Cycling,School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China;Key Laboratory of Desert and Desertification,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • 2. Key Laboratory of Desert and Desertification,Northwest Institute of Eco-Environment and Resources,Chinese Acade-my of Sciences,Lanzhou 730000,China
  • 3. Centre Eau Terre Environnement,Institut National de la Recherche Scientifique,Quebec,QC,G1K 9A9,Canada;GEOTOP Research Centre in the Dynamics of the Earth System,Montréal,QC H2X 3Y7,Canada
  • 4. Frontiers Science Center for Critical Earth Material Cycling,School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China
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Abstract

The reconstruction of global annual mean temperatures made by the PAGES 2k Consortium in 2019 represents one of the most influential sequences of global climate variability over the Common Era.However,it is still not clear how the reconstruction can be influenced by the selection of reconstruction methods and the selection of proxy records with different temporal resolutions over different regions.We adopt a widely used Composite-Plus-Scale method to elucidate the effects of the selection of the proxy records on temperature reconstruction.To ensure the uniformity of data,different types of proxy records spanning the past~2000 years from the PAGES 2k proxy network were used to investigate the potential effects of proxy selection in hemispheric and global temperature reconstructions during the past two millennia.The long-term trends,spectral char-acteristics,and volcanic responses of the annual temperatures were studied based on the reconstructions.Our results reveal a significant cooling trend in the global annual mean temperature using both tree-ring and non-tree-ring records during the 1-1850 CE period,and show that the cooling exhibits a stronger trend in the Southern Hemisphere(SH)than that in the Northern Hemisphere(NH).Yet,the long-term trends vary according to different combinations of proxy records.Different re-constructions based on different types of proxies also exhibit different features in terms of volcanic responses and spectral properties.Tree-ring-based temperature reconstructions show stronger cooling responses to tropical volcanic eruptions,while non-tree-ring-based reconstructions suggest less robust volcanic responses,which may be related to dating uncertainties and low temporal resolution of the proxies.Tree-ring width records tend to preserve a substantial proportion of high-frequency(<200 years)variability,whereas non-tree-ring proxies tend to capture a larger fraction of low-frequency(>200 years)variations.Efforts are needed to reduce uncertainties of the temperature reconstruction over the Common Era associated with the in-sufficient spatiotemporal coverage of the current proxy network,especially for the first millennium and for the SH and tropics,also to develop statistical methods and to improve the signal strength and constrain uncertainties in existing proxy records.

Key words

Millennial cooling trend/Global climate change/Proxy records/Volcanic eruptions/Spectral properties/Common Era

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基金项目

National Natural Science Foundation of China(42130511)

National Natural Science Foundation of China(42488201)

the"GeoX"Interdisciplinary Research Funds for the Frontiers Science Center for Critical Earth Material Cycling,Nanjing Universit(202330029 & 2023300286)

出版年

2024
中国科学:地球科学(英文版)
中国科学院

中国科学:地球科学(英文版)

影响因子:1.002
ISSN:1674-7313
参考文献量1
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