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.
Publisher: Cambridge University Press
Number of pages: 588
Weight: 1280 g
Dimensions: 255 x 180 x 30 mm
'... 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