* A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data. 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. 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.
DATA ANALYSIS METHODS IN PHYSICAL OCEANOGRAPHY SERIES
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. 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. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on 'Convolution and Fourier transforms'. coastal trapped waves along the Australian coast or sea level oscillations in the western Pacific).Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. Thus, the reader may simultaneously learn about an analysis method, note how it performs when applied to real data, and gain exposure to relevant oceanographic phenomena (e.g. All are from the geophysical sciences, and the vast majority are from physical oceanography. Oceanographic context is provided by a large number of examples.
Several other gems, such as sections on dependent samples, error detection, and interpolation round out the presentation. Brief reviews of subjects not covered in traditional time series analysis texts, such as inverse methods, wavelets, and fractals, are also included. The traditional topics of probability, statistics, and time series analysis are combined with discussions of specialized, yet routinely applied, methods such as estimation of principal axes, computation of vertical normal modes, and rotary spectral analysis. The book provides an unusual breadth of coverage with a rich oceanographic context. “Data Analysis Methods in Physical Oceanography” is a unique and valuable reference text for students, instructors, and researchers who either work directly with oceanographic data or need a working knowledge of data collection and analysis products.
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