IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v345y2005i3p713-721.html
   My bibliography  Save this article

Long-range correlations and rare events in boundary layer wind fields

Author

Listed:
  • Santhanam, M.S.
  • Kantz, Holger

Abstract

We analyse the statistics of extreme events in the boundary layer wind fields. We focus on the wind speeds that are long-term correlated and show that its distribution of the return intervals of rare events is a stretched exponential and the stretching exponent, to within the numerical errors, is identical to the long-term correlation exponent γ. We also analyse correlations among the return intervals which are themselves long-term correlated with an exponent close to γ. This work complements the results obtained by Bunde et al. (Physica A 330 (2003) 1).

Suggested Citation

  • Santhanam, M.S. & Kantz, Holger, 2005. "Long-range correlations and rare events in boundary layer wind fields," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 345(3), pages 713-721.
    • Handle: RePEc:eee:phsmap:v:345:y:2005:i:3:p:713-721
    DOI: 10.1016/j.physa.2004.07.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437104009987
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2004.07.012?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. Kumiko Tanaka-Ishii & Armin Bunde, 2016. "Long-Range Memory in Literary Texts: On the Universal Clustering of the Rare Words," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-14, November.
    2. Sen, Rituparna & Hsieh, Fushing, 2009. "A note on testing regime switching assumption based on recurrence times," Statistics & Probability Letters, Elsevier, vol. 79(24), pages 2443-2450, December.
    3. Pyko, Nikita S. & Pyko, Svetlana A. & Markelov, Oleg A. & Karimov, Artur I. & Butusov, Denis N. & Zolotukhin, Yaroslav V. & Uljanitski, Yuri D. & Bogachev, Mikhail I., 2018. "Assessment of cooperativity in complex systems with non-periodical dynamics: Comparison of five mutual information metrics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1054-1072.
    4. Shuntaro Takahashi & Kumiko Tanaka-Ishii, 2017. "Do neural nets learn statistical laws behind natural language?," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-17, December.

    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:eee:phsmap:v:345:y:2005:i:3:p:713-721. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.