Modeling Methods for Marine Science

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.


"This textbook can be considered as a reference in data analysis and numerical modeling. For readers who are interested in the numerical side of marine science, this book presents lots of methods and provides numerous useful tools...Its readability makes it an excellent manual that I would definitely recommend around me, both for students and for researchers" - Virginie Raybaud, Limnology and Oceanography Bulletin

"I learned some new things from this book, especially about geochemistry..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 researches." - Peter Gent, Bulletin of the American Meteorological Society, July 2012