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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
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Mentioned by

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1 Wikipedia page

Citations

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35 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Stochastic Modelling in Physical Oceanography
Published by
Birkhäuser Boston, December 2012
DOI 10.1007/978-1-4612-2430-3
ISBNs
978-1-4612-7533-6, 978-1-4612-2430-3
Editors

Adler, Robert J., Müller, Peter, Rozovskii, Boris L.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 6%
Canada 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 44%
Professor > Associate Professor 3 19%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Earth and Planetary Sciences 6 38%
Mathematics 3 19%
Engineering 2 13%
Physics and Astronomy 2 13%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 1 6%