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.
Boxes and side bars highlight important questions, interesting facts, relevant examples, and research techniques that supplement the text.
This is a textbook on modelling, data analysis and numerical techniques for advanced students and researchers in chemical, biological, geological and physical oceanography.
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.
Substantial advances are occurring in ocean inverse techniques and data assimilation. These approaches combine the strengths of ocean observations, often sparsely sampled in space and time, and continuous fields from models to create an ...
Modeling diverse communities of marine microbes. Annual Review of Marine Science, 3, 427–451. Glover, David M., Jenkins, William J., and Doney, Scott C. 2011. Modeling Methods for Marine Science. Cambridge University Press, Cambridge.
This book offers a comprehensive overview of the models and methods employed in the rapidly advancing field of numerical ocean circulation modeling.
Overall, this volume provides a key textbook for undergraduate and postgraduate courses and for the coastal or marine practitioner, as well as a long-term reference for students.
Daniel R. Lynch, David A. Greenberg, Ata Bilgili, Dennis J. McGillicuddy, Jr, James P. Manning, ... [291] N.J. MacDonald, M.H. Davies, A.K. Zundel, J.D. Howlett, Z. Demirbilek, J.Z. Gailani, T.C. Lackey, and J. Smith.
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, ...
By providing general information on the use of the cloud for oceanographic and atmospheric computing, as well as examples of specific applications, this book encourages and educates potential users of the cloud.