Description
Book SynopsisAn advanced textbook on modeling, data analysis and numerical techniques for advanced students of oceanography, and an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.
Trade Review'… this book does not deal only with modeling; it also presents many numerical data analysis techniques. It is very didactic, well-written (sometimes with humor) and provides an advanced set of tools for students, teachers and research scientists who are interested in the numerical side of several fields in marine science … At the end of each chapter, selected exercises are proposed, which also makes this book an excellent course support for teachers.' Limnology and Oceanography Bulletin
'I believe that no other book covers the same topics as this book does, so in that sense it is unique … I very highly recommend this book for use in courses that cover modeling methods in oceanography or geophysics, and to researchers who want to refresh their knowledge or learn new aspects of their subject.' Peter R. Gent, Bulletin of the American Meteorological Society
Table of ContentsPreface; 1. Resources, MATLAB primer and introduction to linear algebra; 2. Measurement theory, probability distributions, error propagation and analysis; 3. Least squares and regression techniques, goodness of fit and tests, and non-linear least square techniques; 4. Principal component and factor analysis; 5. Sequence analysis I: uniform series, cross- and auto-correlation, and Fourier transforms; 6. Sequence analysis II: optimal filtering and spectral analysis; 7. Gridding, objective mapping and kriging; 8. Integration of ODEs and 0-D (box) models; 9. A model building tutorial; 10. Model analysis and optimization; 11. Advection-diffusion equations and turbulence; 12. Finite difference techniques; 13. Open ocean 1-D advection-diffusion models; 14. 1-D models in sedimentary systems; 15. Upper ocean 1-D seasonal models; 16. 2-D gyre models; 17. 3-D general circulation models; 18. Inverse methods and assimilation techniques; 19. Scientific visualization; Appendix: hints and tricks; References; Index.
