This two-volume reference presents a series of review and research articles on advances in computing, marine physics, and remote sensing and addresses their importance to shallow sea modeling. Intended as a tribute to Dr. Norman Heaps, topics in the book reflect the range and diversity of his work, as well as his influence on international marine science. Topics discussed include numerical techniques, flow in homogenous sea regions, stratified flows, lake regimes, validation of numerical models, remote sensing as a method to collect oceanographic data at the sea surface, and bottom boundary modeling. Marine scientists actively involved in mathematical modeling and scientists who are interested in using models as tools to gain more insight and understanding of the processes they are observing will find this text useful.

This two-volume reference presents a series of review and research articles on advances in computing, marine physics, and remote sensing and addresses their importance to shallow sea modeling. Intended as a tribute to Dr. Norman Heaps, topics in the book reflect the range and diversity of his work, as well as his influence on international marine science. Topics discussed include numerical techniques, flow in homogenous sea regions, stratified flows, lake regimes, validation of numerical models, remote sensing as a method to collect oceanographic data at the sea surface, and bottom boundary modeling. Marine scientists actively involved in mathematical modeling and scientists who are interested in using models as tools to gain more insight and understanding of the processes they are observing will find this text useful.

Modelling of Marine Systems

This two-volume reference presents a series of review and research articles on advances in computing, marine physics, and remote sensing and addresses their importance to shallow sea modeling. Intended as a tribute to Dr. Norman Heaps, topics in the book reflect the range and diversity of his work, as well as his influence on international marine science. Topics discussed include numerical techniques, flow in homogenous sea regions, stratified flows, lake regimes, validation of numerical models, remote sensing as a method to collect oceanographic data at the sea surface, and bottom boundary modeling. Marine scientists actively involved in mathematical modeling and scientists who are interested in using models as tools to gain more insight and understanding of the processes they are observing will find this text useful.

Marine Systems Identification, Modeling and Control is a concise, stand-alone resource covering the theory and practice of dynamic systems and control for marine engineering students and professionals. Developed from a distance learning CPD course on marine control taught by the authors, the book presents the essentials of the subject, including system representation and transfer, feedback control and closed loop stability. Simulation code and worked examples are provided for both Scilab and MATLAB, making it suitable for both those without access to expensive software and those using MATLAB in a professional setting. This title considers the key topics without superfluous detail and is illustrated with marine industry examples. Concise and practical, covering the relevant theory without excessive detail Industry-specific examples and applications for marine engineering students and professionals Clearly presents key topics of the subject, including system representation and transfer, feedback control and closed loop stability, making it ideal for self-study or reference Simulation code and worked examples using Scilab and MATLAB provided on the book’s companion website

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.

Modelling of marine ecosystems is a rapidly developing branch of interdisciplinary oceanographic research. Introduction to the Modelling of Marine Ecosystems is the first consistent and comprehensive introduction to the development of models of marine ecosystems. It begins with simple first steps of modelling and develops more and more complex models. This step-by-step approach to increasing the complexity of the models is intended to allow students of biological oceanography and interested scientists with only limited experience in mathematical modelling to explore the theoretical framework and familiarize oneself with the methods. The book describes how biological model components can be integrated into three dimensional circulation models and how such models can be used for 'numerical experiments'. The book illustrates the mathematical aspects of modelling and gives application examples. The tutorial aspect of the book is supported by a set of MATLAB programs, which are provided on an accompanying CD-Rom and which can be used to reproduce many of the results presented in the book. Also available in paperback, ISBN 0-444-51704-9