Modeling Methods for Marine Science

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 the general principles and goals of scientific visualization are emphasized through technique and application. 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.