Data Analysis Methods in Physical Oceanography - Softcover

Thomson, Richard E.; Emery, William J.

Softcover

ISBN 10: 0444507574 ISBN 13: 9780444507570

Publisher: Elsevier Science, 2001

Synopsis

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 overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.
• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters.

In praise of the first edition:

"(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)
The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998

"(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999

"(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999

"(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

About this title

Review

A. Plueddemann, Woods Hole Oceanographic Institution, Woods Hole, MA, USA
...this is an excellent, practical text on data analysis, with minor improvements over the first edition.
Oceanography, Vol. 14, No. 4
P. Myers, University of Alberta, Canada
...The book is well laid out, with the content easy to find and access. The statistical presentation, while mathematical, is clear and straightforward, without unnecessary complexity. ...I think this is an excellent book on the topic and it would be an ideal textbook for a graduate level course on geophysical data analysis. I could also see the book becoming a well referred to reference for researchers working with oceanographic data, whether from actual observations or from the output of numerical models.
CMOS Bulletin SCMO

Edition details

• Publisher: Elsevier Science
• Publication date: 2001
• Language: English
• ISBN 10: 0444507574
• ISBN 13: 9780444507570
• Binding: Paperback
• Edition number: 2
• Number of pages: 654
• Editor: Emery W.J., Thomson R.E.