Data Analysis Methods in Physical Oceanography - Grand Format

Data Analysis Methods in Physical Oceanography, Third Edition is a practical reference to established and modern instruments and data analysis techniques in earth and ocean sciences. Its six major sections address data acquisition, data processing and presentation, statistical methods, error handling, analyse of spatial data fields, time sedes analysis methods, and digital filtering. The revised Third Edition updates the instrumentation used to collect physical oceanic data and adds numerous new analysis techniques including Kalman Filtering, Kriging, Extended Empirical Orthogonal Functions (EEOFs), Cyclostrophic EOFs, and Self-Organizing Maps.
The chapter on time series analysis, covering spectral, wavelet, harmonic analysis and related techniques, has been reorganized and expanded. Spectral and wavelet analysis, in particular, have been the focus of considerable attention over the past decade as more accurate and efficient data collection and analysis methods have become available. Key features : co-authored by scientists from academe and government, both of wham have more than 35 years of experience in oceanographic research and seagoing field work ; provides examples that address typical data analysis problems while providing the reader with practical approaches for analyzing and working with their data.
New to this edition : expanded to include to 350 figures, Illustrations, diagrams and photos, major updating of the instrumentation used to measure and collect oceanic data, addition of new sections on See-Organizing Maps, advanced forms of EOFs, Mixed Layer Depth estimation, Regime Shift detection, Vector Regressional analysis, and other techniques ; reorganization and expansion of sections covering spectral and wavelet analysis ; updating and revision of material on new filtering techniques, including Kriging and Kalman fitters ; provision of a separate chapter on digital filters and digital filtering methods.