Modeling methods for marine science / David M. Glover, William J. Jenkins and Scott C. Doney
Tipo de material: TextoDetalles de publicación: Cambridge : Cambridge University Press, 2011 Descripción: XV, 571 p. ; 25 cmISBN: 978-0-521-86783-2 (hardback)Tema(s): Ciencias del mar | OceanografíaResumen: 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.Resumen: Índice: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... Etc.Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 551.46/GLO/mod (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3743739475 | ||
Monografías | 02. BIBLIOTECA CAMPUS PUERTO REAL | 551.46/GLO/mod (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3743468048 |
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.
Índice: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... Etc.
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