Time Series Data Analysis in Oceanography
Time Series Data Analysis in Oceanography
£44.99
GBPChunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook 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
Product details
May 2022Hardback
9781108474276
300 pages
251 × 174 × 32 mm
1.01kg
Available
Table of Contents
- 1. Introduction
- 2. Introduction to MATLAB
- 3. Time and MATLAB Functions for Time
- 4. Deterministic and Random Functions
- 5. Error and Variability Propagation
- 6. Taylor Series Expansion and Application in Error Estimate
- 7. Selected Topics in Spherical Trigonometry
- 8. A System of Linear Equations and Least Squares Method
- 9. Base Functions and Linear Independence
- 10. Generic Least Squares Method and Orthogonal Functions
- 11. Harmonic Analysis of Tide
- 12. Fourier Series
- 13. Fourier Transform
- 14. Discrete Fourier Transform and Fast Fourier Transform
- 15. Properties of Fourier Transform
- 16. More Discussion on the Harmonic Analysis and Fourier Analysis
- 17. Effect of Finite Sampling
- 18. Power Spectrum, Co-Spectrum, and Coherence
- 19. Window Functions for Reducing Side Lobes
- 20. Convolution, Filtering with the Window Method
- 21. Digital Filters: FIR and IIR Filters
- 22. Rotary Spectrum Analysis
- 23. Short-Time Fourier Transform and Introduction to Wavelet Analysis
- 24. Empirical Orthogonal Function Analysis
- References
- Index.
