
Data Analysis Methods in Physical Oceanography
by Richard E. Thomson, William J. Emery
4th Edition
Publisher: Elsevier Science
Book Details
| Print ISBN | 9780323917230 |
| eText ISBN | 9780323993135 |
| Publisher | Elsevier Science |
| Publishing Year | 2024 |
| Edition | 4th Edition |
| Language | English |
| Pages | 890 |
Data Analysis Methods in Physical Oceanography (4th Edition) functions as a practical reference detailing established and modern analytical techniques across earth and ocean sciences. Authors Richard E. Thomson and William J. Emery draw from more than three decades of oceanographic research and field experience across academic and industrial environments to present systematic computational practices.
The material synthesizes foundational data handling with contemporary statistical and computational methods across five main sections. Coverage spans data acquisition, data processing, error handling, spatial data field analysis, and time series analysis. Additional chapters address digital filters and machine learning methods tailored for complex observational studies.
To support practical execution, the text features boxed worked examples that guide users through numerical problems using Python and MATLAB computer code. This resource provides intended analytical support for oceanographers, atmospheric scientists, meteorologists, climatologists, engineers, and upper-undergraduate or graduate students enrolled in statistical methods courses.
Table of Contents
Chapter 1: Data Acquisition and Recording
Chapter 2: Data Processing and Presentation
Chapter 3: Statistical Methods and Error Handling
Chapter 4: The Spatial Analyses of Data Fields
Chapter 5: Time Series Analysis Methods
Chapter 6: Digital Filters
Chapter 7: Machine Learning Methods
Chapter 8: Neural Networks, Convolutional Neural Networks and Deep Learning
Chapter Appendix A: Units in Physical Oceanography
Chapter Appendix B: Glossary of Statistical Terminology
Chapter Appendix C: Means, Variances and Moment-Generating Functions for Some Common Continuous Variables
Chapter Appendix D: Statistical Tables
Chapter Appendix E: Correlation Coefficients at the 5% and 1% Levels of Significance for Various Degrees of Freedom, ν
Chapter Appendix F: Approximations and Nondimensional Numbers in Physical Oceanography
Chapter Appendix G: Convolution
Chapter Appendix H: Optimal Interpolation MATLAB Live Scripts
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