Marine Modeling V 6
Author: Edward D. Goldberg
Publisher: Harvard University Press
Published: 1977-01-31
Total Pages: 1072
ISBN-13: 9780674017351
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Modeling Methods for Marine Science
Author: David M. Glover
Publisher: Cambridge University Press
Published: 2011-06-02
Total Pages: 589
ISBN-13: 1139500716
DOWNLOAD EBOOKThis 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 Ocean Climate Variability
Author: Artem S. Sarkisyan
Publisher: Springer Science & Business Media
Published: 2009-05-13
Total Pages: 385
ISBN-13: 1402092083
DOWNLOAD EBOOKIn this wide-ranging and comprehensive review of the historical development and current status of ocean circulation models, the analysis extends from simple analytical approaches to the latest high-resolution numerical models with data assimilation. The authors, both of whom are pioneer scientists in ocean and shelf sea modelling, look back at the evolution of Western and Eastern modelling methodologies during the second half of the last century. They also present the very latest information on ocean climate modelling and offer examples for a number of oceans and shelf seas. The book includes a critical analysis of literature on ocean climate variability modelling, as well as assessing the strengths and weaknesses of the best-known modelling techniques. It also anticipates future developments in the field, focusing on models based on a synthesis of numerical simulation and field observation, and on nonlinear thermodynamic model data synthesis.
Marine Surplus Seller
Author: United States. Maritime Commission
Publisher:
Published: 1945
Total Pages: 1848
ISBN-13:
DOWNLOAD EBOOKModels in Geomorphology
Author: Michael J. Woldenberg
Publisher: Routledge
Published: 2020-05-10
Total Pages: 450
ISBN-13: 0429536089
DOWNLOAD EBOOKThis book, first published in 1985, arises from the 14th Binghamton Geomorphology Symposium. The chapters here illustrate the use of models in various areas of research in geomorphology.
Atmosphere-ocean Modeling: Coupling And Couplers
Author: Carlos Roberto Mechoso
Publisher: World Scientific
Published: 2021-07-27
Total Pages: 203
ISBN-13: 9811232954
DOWNLOAD EBOOKCoupled atmosphere-ocean models are at the core of numerical climate models. There is an extraordinarily broad class of coupled atmosphere-ocean models ranging from sets of equations that can be solved analytically to highly detailed representations of Nature requiring the most advanced computers for execution. The models are applied to subjects including the conceptual understanding of Earth's climate, predictions that support human activities in a variable climate, and projections aimed to prepare society for climate change. The present book fills a void in the current literature by presenting a basic and yet rigorous treatment of how the models of the atmosphere and the ocean are put together into a coupled system. The text of the book is divided into chapters organized according to complexity of the components that are coupled. Two full chapters are dedicated to current efforts on the development of generalist couplers and coupling methodologies all over the world.
A Computer Simulation Model of Seasonal Variations in Ocean Production for a Region of Upwelling
Author: Robert Thomas Pearson
Publisher:
Published: 1975
Total Pages: 168
ISBN-13:
DOWNLOAD EBOOKA computer model simulating the seasonal variations, of mixed layer nutrient concentrations, phytoplankton biomass carbon, and herbivorous zooplankton biomass carbon was developed. The simulation was generated using an annual cycle of four environmental parameters: (1) incident solar radiation, (2) upwelling velocity, (3) mixed layer depth, and (4) mixed layer temperature. Simulation results were compared with nutrient and zooplankton biomass data collected on a series of seven cruises made in central Monterey Bay from February through December, 1974. Both observed and simulation zooplankton stocks were characterized by two distinct maxima. The initial peak (1.05 gC/sq m) occurred in late July and was followed by a decline in populations through the month of August. During the fall and early winter, zooplankton biomass increased rapidly to an overall maximum of 1.85 gC/sq m. Individual environmental parameters were tested to ascertain their importance in controlling simulation results. Phytoplankton stocks were influenced principally by changes in incident radiation, whereas temperature variations produced the most significant fluctuations in zooplankton biomass.
Ocean Modeling and Parameterization
Author: Eric P. Chassignet
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 459
ISBN-13: 9401150966
DOWNLOAD EBOOKThe realism of large scale numerical ocean models has improved dra matically in recent years, in part because modern computers permit a more faithful representation of the differential equations by their algebraic analogs. Equally significant, if not more so, has been the improved under standing of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challeng ing issues remaining in ocean modeling are associated with parameterizing the effects of these high-frequency, small-space scale processes. Accurate parameterizations are especially needed in long term integrations of coarse resolution ocean models that are designed to understand the ocean vari ability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency mo tions in ocean modeling have been based on simple formulations, such as the Reynolds decomposition with constant diffusivity values. Until recently, modelers were concerned with first order issues such as a correct represen tation of the basic features of the ocean circulation. As the numerical simu lations become better and less dependent on the discretization choices, the focus is turning to the physics of the needed parameterizations and their numerical implementation. At the present time, the success of any large scale numerical simulation is directly dependent upon the choices that are made for the parameterization of various subgrid processes.
