IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v144y2017i3d10.1007_s10584-016-1695-0.html
   My bibliography  Save this article

500-yr. precipitation variability in Southern Taihang Mountains, China, and its linkages to ENSO and PDO

Author

Listed:
  • Yong Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
    Chinese Academy of Sciences)

  • Qinhua Tian

    (China Meteorological Administration)

  • Sébastien Guillet

    (University of Berne)

  • Markus Stoffel

    (University of Berne
    University of Geneva
    University of Geneva)

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.

Suggested Citation

  • Yong Zhang & Qinhua Tian & Sébastien Guillet & Markus Stoffel, 2017. "500-yr. precipitation variability in Southern Taihang Mountains, China, and its linkages to ENSO and PDO," Climatic Change, Springer, vol. 144(3), pages 419-432, October.
    • Handle: RePEc:spr:climat:v:144:y:2017:i:3:d:10.1007_s10584-016-1695-0
    DOI: 10.1007/s10584-016-1695-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-016-1695-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10584-016-1695-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yongxiang Zhang & Hongli Wang & Xuemei Shao & Jinbao Li & Guoyu Ren, 2022. "Extreme drought events diagnosed along the Yellow River and the adjacent area," Climatic Change, Springer, vol. 173(3), pages 1-16, August.
    2. Zong-Liang Yang & Zhuguo Ma, 2017. "Foreword to the special issue: decadal scale drought in arid regions," Climatic Change, Springer, vol. 144(3), pages 389-390, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:144:y:2017:i:3:d:10.1007_s10584-016-1695-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.