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

Author: Jens Breckling
Publisher: New York, NY : Springer New York, 1989.
Series: Lecture notes in statistics (Springer-Verlag), 61.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jens Breckling
ISBN: 9781461236887 1461236886
OCLC Number: 852789150
Description: 1 online resource (viii, 238 pages 77 illustrations).
Contents: Part I: Wind Data Analysis: Introduction --
The Initial Decomposition --
The Geostrophic Component --
The Land and Sea Breeze Cycle --
Short-Term Events --
Part II: Time Series of Directional Data: Time Series Models for Directional Data --
Measures of Angular Association --
Comparison of Different Measures of Association --
Inference from the Wrapped Autoregressive Process --
Application to Series of Residual Wind Directions --
Conclusions and Summary of Results --
Bibliography --
List of Symbols --
Subject Index.
Series Title: Lecture notes in statistics (Springer-Verlag), 61.
Responsibility: edited by Jens Breckling.
More information:

Abstract:

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.

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