Data analysis methods in physical oceanography / Richard E. Thomson, William J. Emery.

Format:

Book

Author/Creator:

Thomson, Richard E., author.

Emery, William J., author.

Language:

English

Subjects (All):

Oceanography--Observations--Data processing.

Oceanography.

Oceanography--Research--Data processing.

Physical Description:

1 online resource (729 p.)

Edition:

Third edition.

Place of Publication:

Waltham, Massachusetts ; Oxford, England ; Amsterdam, Netherlands : Elsevier, 2014.

Language Note:

English

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

Contents:

Front Cover

DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY

Copyright

Dedication

Contents

Preface

Acknowledgments

Chapter 1 - Data Acquisition and Recording

1.1 INTRODUCTION

1.2 BASIC SAMPLING REQUIREMENTS

1.3 TEMPERATURE

1.4 SALINITY

1.5 DEPTH OR PRESSURE

1.6 SEA-LEVEL MEASUREMENT

1.7 EULERIAN CURRENTS

1.8 LAGRANGIAN CURRENT MEASUREMENTS

1.9 WIND

1.10 PRECIPITATION

1.11 CHEMICAL TRACERS

1.12 TRANSIENT CHEMICAL TRACERS

Chapter 2 - Data Processing and Presentation

2.1 INTRODUCTION

2.2 CALIBRATION

2.3 INTERPOLATION

2.4 DATA PRESENTATION

Chapter 3 - Statistical Methods and Error Handling

3.1 INTRODUCTION

3.2 SAMPLE DISTRIBUTIONS

3.3 PROBABILITY

3.4 MOMENTS AND EXPECTED VALUES

3.5 COMMON PDFS

3.6 CENTRAL LIMIT THEOREM

3.7 ESTIMATION

3.8 CONFIDENCE INTERVALS

3.9 SELECTING THE SAMPLE SIZE

3.10 CONFIDENCE INTERVALS FOR ALTIMETER-BIAS ESTIMATES

3.11 ESTIMATION METHODS

3.12 LINEAR ESTIMATION (REGRESSION)

3.13 RELATIONSHIP BETWEEN REGRESSION AND CORRELATION

3.14 HYPOTHESIS TESTING

3.15 EFFECTIVE DEGREES OF FREEDOM

3.16 EDITING AND DESPIKING TECHNIQUES: THE NATURE OF ERRORS

3.17 INTERPOLATION: FILLING THE DATA GAPS

3.18 COVARIANCE AND THE COVARIANCE MATRIX

3.19 THE BOOTSTRAP AND JACKKNIFE METHODS

Chapter 4 - The Spatial Analyses of Data Fields

4.1 TRADITIONAL BLOCK AND BULK AVERAGING

4.2 OBJECTIVE ANALYSIS

4.3 KRIGING

4.4 EMPIRICAL ORTHOGONAL FUNCTIONS

4.5 EXTENDED EMPIRICAL ORTHOGONAL FUNCTIONS

4.6 CYCLOSTATIONARY EOFS

4.7 FACTOR ANALYSIS

4.8 NORMAL MODE ANALYSIS

4.9 SELF ORGANIZING MAPS

4.10 KALMAN FILTERS

4.11 MIXED LAYER DEPTH ESTIMATION

4.12 INVERSE METHODS

Chapter 5 - Time Series Analysis Methods

5.1 BASIC CONCEPTS

5.2 STOCHASTIC PROCESSES AND STATIONARITY.

5.3 CORRELATION FUNCTIONS

5.4 SPECTRAL ANALYSIS

5.5 SPECTRAL ANALYSIS (PARAMETRIC METHODS)

5.6 CROSS-SPECTRAL ANALYSIS

5.7 WAVELET ANALYSIS

5.8 FOURIER ANALYSIS

5.9 HARMONIC ANALYSIS

5.10 REGIME SHIFT DETECTION

5.11 VECTOR REGRESSION

5.12 FRACTALS

Chapter 6 - Digital Filters

6.1 INTRODUCTION

6.2 BASIC CONCEPTS

6.3 IDEAL FILTERS

6.4 DESIGN OF OCEANOGRAPHIC FILTERS

6.5 RUNNING-MEAN FILTERS

6.6 GODIN-TYPE FILTERS

6.7 LANCZOS-WINDOW COSINE FILTERS

6.8 BUTTERWORTH FILTERS

6.9 KAISER-BESSEL FILTERS

6.10 FREQUENCY-DOMAIN (TRANSFORM) FILTERING

References

Appendix A - Units in Physical Oceanography

Appendix B - Glossary of Statistical Terminology

Appendix C - Means, Variances and Moment-Generating Functions for Some Common Continuous Variables

Appendix D - Statistical Tables

Appendix E - Correlation Coefficients at the 5% and 1% Levels of Significance for Various Degrees of Freedom ν

Appendix F - Approximations and Nondimensional Numbers in Physical Oceanography

Appendix G - Convolution

Appendix G CONVOLUTION AND FOURIER TRANSFORMS

Appendix G CONVOLUTION OF DISCRETE DATA

Appendix G CONVOLUTION AS TRUNCATION OF AN INFINITE TIME SERIES

Appendix G DECONVOLUTION

Index.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (ebrary, viewed July 24, 2014).

ISBN:

9780080886794

0080886795

9780123877833

0123877830

OCLC:

884016334