Cover image for Data analysis methods in physical oceanography
Title:
Data analysis methods in physical oceanography
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Edition:
2nd and rev. ed.
Publication Information:
New York: Elsevier Science, 2001
ISBN:
9780444507570
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30000004880187 GC57 E43 2001 Open Access Book Book
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Summary

Summary

Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. 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 fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical 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


Table of Contents

Preface
Acknowledgments
Data Acquisition and Recording
Introduction
Basic sampling requirements
Temperature
Salinity
Depth or pressure
Sea-level measurement
Eulerian currents
Lagrangian current measurements
Wind
Precipitation
Chemical tracers
Transient chemical tracers
Data Processing and Presentation
Introduction
Calibration
Interpolation
Data presentation
Statistical Methods and Error Handling
Introduction
Sample distributions
Probability
Moments and expected values
Common probability density functions
Central limit theorem
Estimation
Confidence intervals
Selecting the sample size
Confidence intervals for altimeter bias estimators
Estimation methods
Linear estimation (regression)
Relationship between regression and correlation
Hypothesis testing
Effective degrees of freedom
Editing and despiking techniques: the nature of errors
Interpolation: filling the data gaps
Covariance and the covariance matrix
Bootstrap and jackknife methods
The Spatial Analyses of Data Fields
Traditional block and bulk averaging
Objective analysis
Empirical orthogonal functions
Normal mode analysis
Inverse methods
Time-series Analysis Methods
Basic concepts
Stochastic processes and stationarity
Correlation functions
Fourier analysis
Harmonic analysis
Spectral analysis
Spectral analysis (parametric methods)
Cross-spectral analysis
Wavelet analysis
Digital filters
Fractals
Appendices
References
Index
8 illus
135 line drawings