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MARC 21

The Analysis of Directional Time Series: Applications to Wind Speed and Direction
Tag	Description
020	$a9781461236887$9978-1-4612-3688-7
082	$a519.5$223
099	$aOnline resource: Springer
245	$aThe Analysis of Directional Time Series: Applications to Wind Speed and Direction$h[EBook] /$cedited by Jens Breckling.
260	$aNew York, NY :$bSpringer New York,$c1989.
300	$aVIII, 238 p. 10 illus.$bonline resource.
336	$atext$btxt$2rdacontent
337	$acomputer$bc$2rdamedia
338	$aonline resource$bcr$2rdacarrier
440	$aLecture Notes in Statistics,$x0930-0325 ;$v61
505	$aI: Wind Data Analysis -- 1. Introduction -- 2. The Initial Decomposition -- 3. The Geostrophic Component -- 4. The Land and Sea Breeze Cycle -- 5. Short-Term Events -- II: Time Series of Directional Data -- 6. Time Series Models for Directional Data -- 7. Measures of Angular Association -- 8. Comparison of Different Measures of Association -- 9. Inference from the Wrapped Autoregressive Process -- 10. Application to Series of Residual Wind Directions -- 11. Conclusions and Summary of Results -- List of Symbols.
520	$aGiven 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.
538	$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
700	$aBreckling, Jens.$eeditor.
710	$aSpringerLink (Online service)
830	$aLecture Notes in Statistics,$x0930-0325 ;$v61
856	$uhttp://dx.doi.org/10.1007/978-1-4612-3688-7