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- Produkterinnerung
Textbook on modeling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
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Textbook on modeling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 588
- Erscheinungstermin: 1. Mai 2015
- Englisch
- Abmessung: 250mm x 175mm x 36mm
- Gewicht: 1182g
- ISBN-13: 9780521867832
- ISBN-10: 0521867835
- Artikelnr.: 32731836
- Verlag: Cambridge University Press
- Seitenzahl: 588
- Erscheinungstermin: 1. Mai 2015
- Englisch
- Abmessung: 250mm x 175mm x 36mm
- Gewicht: 1182g
- ISBN-13: 9780521867832
- ISBN-10: 0521867835
- Artikelnr.: 32731836
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.
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.
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.
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.