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Data Analysis Methods in Physical Oceanography

Buch | Hardcover
654 Seiten
2001 | 2nd Revised edition
Elsevier Science Ltd (Verlag)
978-0-444-50756-3 (ISBN)
145,90 inkl. MwSt
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A practical reference guide to data analysis techniques in earth and ocean sciences. Intended for both students and established scientists, it covers data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods.
"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. It features: 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.

Chapter and section headings: 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.

Erscheint lt. Verlag 3.4.2001
Zusatzinfo illustrations
Verlagsort Oxford
Sprache englisch
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Hydrologie / Ozeanografie
ISBN-10 0-444-50756-6 / 0444507566
ISBN-13 978-0-444-50756-3 / 9780444507563
Zustand Neuware
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