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Stochastic Modelling in Physical Oceanography

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Cover of 'Stochastic Modelling in Physical Oceanography'

Table of Contents

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    Book Overview
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    Chapter 1 Particle Displacements in Inhomogeneous Turbulence
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    Chapter 2 Massively Parallel Simulations of Motions in a Gaussian Velocity Field
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    Chapter 3 Comparison tests for the spectra of dependent multivariate time series
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    Chapter 4 A statistical approach to ocean model testing and tuning
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    Chapter 5 Applications of stochastic particle models to oceanographic problems
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    Chapter 6 Sound through the internal wave field
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    Chapter 7 Stochastic modeling of turbulent flows
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    Chapter 8 Neptune effect: statistical mechanical forcing of ocean circulation
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    Chapter 9 Short-Time Correlation Approximations for Diffusing Tracers in Random Velocity Fields: A Functional Approach
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    Chapter 10 Particles, vortex dynamics and stochastic partial differential equations
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    Chapter 11 Nongaussian autoregressive sequences and random fields
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    Chapter 12 Feature and contour based data analysis and assimilation in physical oceanography
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    Chapter 13 Topics in Statistical Oceanography
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    Chapter 14 Stochastic forcing of quasi-geostrophic eddies
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    Chapter 15 Maximum likelihood estimators in the equations of physical oceanography
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    Chapter 16 Chaotic transport by mesoscale motions
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    Chapter 17 Chaotic Transport and Mixing by Ocean Gyre Circulation
Attention for Chapter 10: Particles, vortex dynamics and stochastic partial differential equations
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Chapter title
Particles, vortex dynamics and stochastic partial differential equations
Chapter number 10
Book title
Stochastic Modelling in Physical Oceanography
Published by
Birkhäuser Boston, January 1996
DOI 10.1007/978-1-4612-2430-3_10
Book ISBNs
978-1-4612-7533-6, 978-1-4612-2430-3
Authors

Peter Kotelenez

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