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Stochastic Modelling in Physical Oceanography (Progress in Probability)
 
 
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Stochastic Modelling in Physical Oceanography (Progress in Probability) [Hardcover]

Robert J. Adler (Author), Peter Müller (Author), B.L. Rozovskii (Author)

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Book Description

0817637982 978-0817637989 March 28, 1996 1
This volumes shows how modelling of oceanographic systems with probabilistic behaviour can lead to to an understanding of the way in which water interacts with the physical world.

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Inside This Book (learn more)
First Sentence:
Buoys, drifting freely on or beneath the ocean surface, are providing new insights into ocean circulation (Davis, 1991). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
intergyre boundary, density matrix estimate, contour analysis approach, fourth moment equation, stochastic particle models, critical layer theory, melded field, heat flux correction, migrating wind, tracer concentration gradient, meandering jet, tracer fluctuations, forcing uncertainties, massively parallel simulations, internal wave field, tracer gradient, subpolar gyre, diffusing tracers, drifter trajectories, water mass transport, chaotic transport, drifter data, potential vorticity equation, displacement statistics, topographic stress
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Fluid Mech, North Atlantic, Monte Carlo, New York, Ornstein Uhlenbeck, Springer Verlag, Journal of Physical Oceanography, North Pacific, Office of Naval Research, Pacific Ocean, Physics of Fluids, Marine Res, Statistical Oceanography, Clarendon Press, Colin de Verdiere, Gaussian Markov, Journal of Geophysical Research, Van Kampen, Claude Frankignoul, Fluid Dyn, Jupiter's Red Spot, Marie Curie, Modern Phys, Navier Stokes, Princeton University Press
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