Data Analysis Methods in Physical Oceanography :Second and Revised Edition ( 2 )

Publication subTitle :Second and Revised Edition

Publication series :2

Author: Thomson   Richard E.;Emery   William J.;Emery   W. J.  

Publisher: Elsevier Science‎

Publication year: 2001

E-ISBN: 9780080477008

P-ISBN(Paperback): 9780444507563

P-ISBN(Hardback):  9780444507563

Subject: P3 Geophysics;P7 Oceanography

Language: ENG

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Description

Data Analysis Methods in Physical Oceanography is a practical reference
guide to established and modern data analysis techniques in earth and ocean
sciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'.

Intended for both students and established scientists, the five
major chapters of the book cover data acquisition and recording, data
processing and presentation, statistical methods and error handling,
analysis of spatial data fields, and time series analysis methods. Chapter 5
on time series analysis is a book in itself, spanning a wide diversity of
topics from stochastic processes and stationarity, coherence functions,
Fourier analysis, tidal harmonic analysis, spectral and cross-spectral
analysis, wavelet and other related methods for processing nonstationary
data series, digital filters, and fractals. The seven appendices include
unit conversions, approximation methods and nondimensional numbers used in
geophysical fluid dynamics, presentations on convolution, statistical
terminology, and distribution functions, and a number of important
statistical tables. Twenty pages are devoted to references.



Featuring:
• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.
• A detailed

Chapter

Cover

pp.:  1 – 5

Contents

pp.:  5 – 11

Preface

pp.:  11 – 15

Acknowledgments

pp.:  15 – 17

Data Acquisition and Recording

pp.:  17 – 175

Data Processing and Presentation

pp.:  175 – 209

Statistical Methods and Error Handling

pp.:  209 – 321

The Spatial Analyses of Data Fields

pp.:  321 – 387

Time-Series Analysis Methods

pp.:  387 – 585

Appendices

pp.:  585 – 613

References

pp.:  613 – 637

Index

pp.:  637 – 655

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