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Nonlinear features of Northern Annular Mode variability

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  • Fu, Zuntao
  • Shi, Liu
  • Xie, Fenghua
  • Piao, Lin

Abstract

Nonlinear features of daily Northern Annular Mode (NAM) variability at 17 pressure levels are quantified by two different measures. One is nonlinear correlation, and the other is time-irreversible symmetry. Both measures show that there are no significant nonlinear features in NAM variability at the higher pressure levels, however as the pressure level decreases, the strength of nonlinear features in NAM variability becomes predominant. This indicates that in order to reach better prediction of NAM variability in the lower pressure levels, nonlinear features must be taken into consideration to build suitable models.

Suggested Citation

  • Fu, Zuntao & Shi, Liu & Xie, Fenghua & Piao, Lin, 2016. "Nonlinear features of Northern Annular Mode variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 390-394.
    • Handle: RePEc:eee:phsmap:v:449:y:2016:i:c:p:390-394
    DOI: 10.1016/j.physa.2016.01.014
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    Cited by:

    1. Zhang, Boer & Xie, Fenghua & Fu, Zunhai & Fu, Zuntao, 2019. "Comparative study of multiple measures on temporal irreversibility of daily air temperature anomaly variations over China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1387-1399.
    2. Yu, Zhongde & Huang, Yu & Fu, Zuntao, 2020. "Nonlinear strength quantifier based on phase correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).

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