Modeling Methods for Marine Science

An advanced textbook on modeling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.

David M. Glover (Author), William J. Jenkins (Author), Scott C. Doney (Author)

9780521867832, Cambridge University Press

Hardback, published 2 June 2011

588 pages, 161 b/w illus. 11 tables 40 exercises
25.5 x 18 x 3 cm, 1.28 kg

'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

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

Preface
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.

Subject Areas: Earth sciences [RB], Earth sciences, geography, environment, planning [R]