500-yr. precipitation variability in Southern Taihang Mountains, China, and its linkages to ENSO and PDO
Yong Zhang (),
Qinhua Tian,
Sébastien Guillet and
Markus Stoffel
Additional contact information
Yong Zhang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Qinhua Tian: China Meteorological Administration
Sébastien Guillet: University of Berne
Markus Stoffel: University of Berne
Climatic Change, 2017, vol. 144, issue 3, No 4, 419-432
Abstract:
Abstract An annually resolved and absolutely dated ring-width chronology spanning 657 yrs. is constructed with Whitebark pine (Pinus bungeana Zucc.) samples from the southern Taihang Mountains, Eastern China. On the basis of a significant correlation between the tree-ring width index and observed instrumental data, precipitation in current May is reconstructed for the region since AD 1510, with predictor variables accounting for 37.9 % of the variance in precipitation data. In agreement with other drought reconstructions, notable dry spells occur in the 1630s–1650s, 1680s–1700s, and 1770s–1800s, whereas wet periods prevail in the 1530s–1570s, 1840s–1870s, and 1950s-present. Wavelet analysis reveals clear 2–8, 20–40, and 80–130 yrs cycles at the 95 % confidence level for the reconstructed series over the past 500 yrs, suggesting possible linkages with the El Niño-Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO). Correlation analysis between the tree-ring series, ENSO, and PDO index further demonstrates that precipitation is negatively correlated with PDO and ENSO in the long term.
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s10584-016-1695-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:climat:v:144:y:2017:i:3:d:10.1007_s10584-016-1695-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10584
DOI: 10.1007/s10584-016-1695-0
Access Statistics for this article
Climatic Change is currently edited by M. Oppenheimer and G. Yohe
More articles in Climatic Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().