Textbook on modeling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
Textbook on modeling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
David Glover is a Senior Research Specialist in the Department of Marine Chemistry and Geochemistry at Woods Hole Oceanographic Institution. He is the author or co-author of 67 published articles, book chapters and abstracts. Dr Glover's research uses satellite data, model results and shipboard data to elucidate the mechanisms and processes by which the oceans play a major role in the maintenance of the global climate.
Inhaltsangabe
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.
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.
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