Theoretical and Applied Climatology

, Volume 109, Issue 1, pp 261–270

Subarea characteristics of the long-range correlations and the index χ for daily temperature records over China

  • Lei Jiang
  • Naiming Yuan
  • Zuntao Fu
  • Dongxiao Wang
  • Xia Zhao
  • Xiuhua Zhu
Original Paper

DOI: 10.1007/s00704-011-0578-6

Cite this article as:
Jiang, L., Yuan, N., Fu, Z. et al. Theor Appl Climatol (2012) 109: 261. doi:10.1007/s00704-011-0578-6

Abstract

Daily temperature records including daily minimum, maximum, and average temperature from 190 meteorological stations over China during 1951–2000 are analyzed from two perspectives: (a) long-term persistence in direction of time varies, and (b) standard deviation in direction of amplitude varies. By employing the detrended fluctuation analysis (DFA), we find all the temperature records are long-term correlated, while the exponent α obtained from DFA varies from different districts of China due to different climate conditions, such as the southwest monsoon, subtropical high, northeast cold vortex, and the Tibetan plateau, etc. After we take the standard deviation into account, a new index χ = α × σ, which has been proposed recently, can be obtained. By further rescaling it as \( \chi = \overline \chi - {{1} \left/ {5} \right.} \times {\sigma_{{\overline \chi }}} \), we find an obvious change of χ for these three kinds of time series, from which the whole China can be divided into two groups, which are comparatively consistent with dry/wet distributions in the south–north areas over China.

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Lei Jiang
    • 1
    • 2
    • 4
  • Naiming Yuan
    • 1
  • Zuntao Fu
    • 1
    • 6
  • Dongxiao Wang
    • 2
  • Xia Zhao
    • 3
  • Xiuhua Zhu
    • 5
  1. 1.Department of Atmospheric and Oceanic Sciences and Laboratory for Climate and Ocean- Atmosphere Studies, School of PhysicsPeking UniversityBeijingChina
  2. 2.LED, South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhouChina
  3. 3.Laboratory of Ocean Circulation and Waves, Institute of OceanologyChinese Academy of SciencesQingdaoChina
  4. 4.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing ApplicationChinese Academy of SciencesBeijingChina
  5. 5.Max Planck Institute for MeteorologyHamburgGermany
  6. 6.School of PhysicsPeking UniversityBeijingChina