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

  • Book
  • © 1989

Overview

Editors:
  1. Jens Breckling

    1. Australian Bureau of Agricultural and Resource Economics, Canberra City, Australia

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-VIII
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  2. Wind Data Analysis

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Jens Breckling
      Pages 3-17

    3. The Initial Decomposition

      • Jens Breckling
      Pages 19-53

    4. The Geostrophic Component

      • Jens Breckling
      Pages 55-90

    5. The Land and Sea Breeze Cycle

      • Jens Breckling
      Pages 91-112

    6. Short-Term Events

      • Jens Breckling
      Pages 113-127

  3. Time Series of Directional Data

    1. Front Matter

      Pages 129-129
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    2. Time Series Models for Directional Data

      • Jens Breckling
      Pages 131-141

    3. Measures of Angular Association

      • Jens Breckling
      Pages 143-167

    4. Comparison of Different Measures of Association

      • Jens Breckling
      Pages 169-182

    5. Inference from the Wrapped Autoregressive Process

      • Jens Breckling
      Pages 183-205

    6. Application to Series of Residual Wind Directions

      • Jens Breckling
      Pages 207-215

    7. Conclusions and Summary of Results

      • Jens Breckling
      Pages 217-221

  4. Back Matter

    Pages 223-238
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Keywords

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.

Editors and Affiliations

  • Australian Bureau of Agricultural and Resource Economics, Canberra City, Australia

    Jens Breckling

Bibliographic Information

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

  • Editors: Jens Breckling

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-3688-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1989

  • Softcover ISBN: 978-0-387-97182-7Published: 08 December 1989

  • eBook ISBN: 978-1-4612-3688-7Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: VIII, 238

  • Number of Illustrations: 10 b/w illustrations

  • Topics: Statistics, general

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