Maximum July–September temperatures derived from tree‐ring densities on the western Loess Plateau, China,International Journal of Climatology

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Maximum July–September temperatures derived from tree‐ring densities on the western Loess Plateau, China
International Journal of Climatology ( IF 3.9 ) Pub Date : 2020-05-13 , DOI: 10.1002/joc.6650
Huiming Song _{1,

2} , Ruochen Mei _{1,

3} , Yu Liu _{1,

2,

4,

5,

6} , Daniel Nievergelt ₇ , Anne Verstege ₇ , Paolo Cherubini ₇ , Ruoshi Liu ₆ , Changfeng Sun _{1,

2} , Qiang Li _{1,

2} , Ling Chen ₈ , Xueli Zeng ₁ , Junqin Guo ₉

Affiliation

The State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment, Chinese Academy of Sciences Xi'an China
CAS Center for Excellence in Quaternary Science and Global Change Chinese Academy of Sciences Xi'an China
School of Environmental and Chemical Engineering Xi'an Polytechnic University China
Laboratory for Ocean Dynamics and Climate Pilot Qingdao National Laboratory for Marine Science and Technology Qingdao China
Physical Oceanography Laboratory/CIMST Ocean University of China and Qingdao National Laboratory for Marine Science and Technology Qingdao China
School of Human Settlements and Civil Engineering Xi'an Jiaotong University Xi'an China
WSL Swiss Federal Research Institute for Forest, Snow and Landscape Research Birmensdorf Switzerland
The Research Center of Forest Management, Engineering of State Forestry and Grassland Administration Beijing Forestry University Beijing China
Northwest Regional Climate Center Lanzhou China

Tree‐ring densitometric studies conducted in semi‐arid regions are exceedingly rare. In this study, we evaluate a new maximum latewood density chronology from a collection of Picea purpurea trees growing in semi‐arid northwestern China for climatic reconstruction purposes. We find statistically significant correlations between annual maximum density variations and July–September maximum temperatures over the 1957–2014 calibration period. Using a linear model to transfer the density variations to temperature estimates, we then reconstruct maximum summer temperatures from 1840 to 2014. Statistical analyses and verification tests demonstrate that the resulting transfer function is both reliable and stable. The reconstructed temperature series shows strong inter‐annual and decadal variability. Several extremely cool and warm years are apparent on an inter‐annual scale, while three extended cool periods and a warm period are observed on a decadal scale. In addition, the reconstructed temperature series exhibits a pattern synchronous with that of the Indian monsoon index, as well as a moderate relationship to volcanic eruptions. This densitometric study reveals typical climatic variation characteristics and provides useful data for deepening our understanding of climate history in the semi‐arid regions of China.

更新日期：2020-05-13

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