The Analysis of Directional Time Series: Applications to Wind Speed and Direction

  • Jens┬áBreckling

Part of the Lecture Notes in Statistics book series (LNS, volume 61)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Wind Data Analysis

    1. Front Matter
      Pages 1-1
    2. Jens Breckling
      Pages 3-17
    3. Jens Breckling
      Pages 19-53
    4. Jens Breckling
      Pages 55-90
    5. Jens Breckling
      Pages 91-112
    6. Jens Breckling
      Pages 113-127
  3. Time Series of Directional Data

    1. Front Matter
      Pages 129-129
    2. Jens Breckling
      Pages 131-141
    3. Jens Breckling
      Pages 143-167
    4. Jens Breckling
      Pages 217-221
  4. Back Matter
    Pages 223-238

About this book


Given a series of wind speeds and directions from the port of Fremantle the aim of this monograph is to detect general weather patterns and seasonal characteristics. To separate the daily land and sea breeze cycle and other short-term disturbances from the general wind, the series is divided into a daily and a longer term, synoptic component. The latter is related to the atmospheric pressure field, while the former is studied in order i) to isolate particular short-term events such as calms, storms and oscillating winds, and ii) to determine the land and sea breeze cycle which dominates the weather pattern for most of the year. All these patterns are described in detail and are related to the synoptic component of the data. Two time series models for directional data and a new measure of angular association are introduced to provide the basis for certain parts of the analysis.


Storm Time series Wind direction Wind speed breeze data analysis spheric wind

Editors and affiliations

  • Jens┬áBreckling
    • 1
  1. 1.Australian Bureau of Agricultural and Resource EconomicsCanberra CityAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1989
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97182-7
  • Online ISBN 978-1-4612-3688-7
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site
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