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.
This is a textbook on modelling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
Boxes and side bars highlight important questions, interesting facts, relevant examples, and research techniques that supplement the text.
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.
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.
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.
This book offers a comprehensive overview of the models and methods employed in the rapidly advancing field of numerical ocean circulation modeling.
Only original articles that have undergone full peer review are presented, to ensure the highest scientific quality. This work provides an excellent coverage of state-of-the-art oceanographic data assimilation.
This book provides methods for learning how ocean systems function, how natural and human actions put them in peril, and how we can influence the marine world in order to maintain biodiversity.
Dyke, P. P. G. (1996) Modelling Marine Processes, Prentice-Hall, New Jersey, USA, pp. 158. ... Glover, D. M., Jenkins, W. J. and Doney, S. C. (2011) Modeling Methods for Marine Science, Cambridge University Press, Cambridge, CB28BS, ...
This book presents the diversity of observation and monitoring techniques at various scales, but also different kinds of model that take into account some conceptual schemes incorporating various scientific knowledge.