Modeling Methods for Marine Science Review

Modeling Methods for Marine Science
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This book covers everything from how to compute a mean, to spatial statistics, to finite difference and numerical integration. It thus provides a thorough introduction to many of the key analytical skills needed by a quantitative marine scientist---or really any Earth System scientist. Significantly, the approach in the book is very much example driven, and accompanied by sample MATLAB scripts; this contributes to the development of students' individual analytical libraries, leaving them with both understanding and capacity. Highly recommended.


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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.

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