Time Series Data Analysis in Oceanography: Applications using MATLAB

Time Series Data Analysis in Oceanography covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet analysis; and EOF analysis.

• Provides coverage of the fundamental knowledge needed for time series data analysis in oceanography, atmospheric science, and other earth science disciplines
• Presents theory and concepts in a clear format in order to help students and researchers apply to real-world problems
• Exercises will be included at the end of each chapter, and MATLAB code and a solutions manual is provided for instructors online