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Stochastic Modelling in Physical Oceanography

  • Book
  • © 1996

Overview

Editors:
  1. Robert J. Adler

    1. Faculty of Industrial Engineering and Management, Technion University, Haifa, Israel

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  2. Peter Müller

    1. Department of Oceanography, University of Hawaii, Honolulu, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Boris L. Rozovskii

    1. Center for Applied Mathematical Sciences, University of Southern California, Los Angeles, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Progress in Probability (PRPR, volume 39)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xi
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  2. Particle Displacements in Inhomogeneous Turbulence

    • Andrew F. Bennett
    Pages 1-45

  3. Massively Parallel Simulations of Motions in a Gaussian Velocity Field

    • René A. Carmona, Stanislav A. Grishin, Stanislav A. Molchanov
    Pages 47-68

  4. Comparison tests for the spectra of dependent multivariate time series

    • René A. Carmona, Andrea Wang
    Pages 69-88

  5. A statistical approach to ocean model testing and tuning

    • Claude Frankignoul
    Pages 89-112

  6. Applications of stochastic particle models to oceanographic problems

    • Annalisa Griffa
    Pages 113-140

  7. Sound through the internal wave field

    • Frank S. Henyey, Charles Macaskill
    Pages 141-184

  8. Stochastic modeling of turbulent flows

    • J. R. Herring
    Pages 185-205

  9. Neptune effect: statistical mechanical forcing of ocean circulation

    • Greg Holloway
    Pages 207-219

  10. Short-Time Correlation Approximations for Diffusing Tracers in Random Velocity Fields: A Functional Approach

    • V. I. Klyatskin, W. A. Woyczynski, D. Gurarie
    Pages 221-269

  11. Particles, vortex dynamics and stochastic partial differential equations

    • Peter Kotelenez
    Pages 271-294

  12. Nongaussian autoregressive sequences and random fields

    • Keh-Shin Lii, Murray Rosenblatt
    Pages 295-309

  13. Feature and contour based data analysis and assimilation in physical oceanography

    • Arthur J. Mariano, Toshio M. Chin
    Pages 311-342

  14. Topics in Statistical Oceanography

    • S. Molchanov
    Pages 343-380

  15. Stochastic forcing of quasi-geostrophic eddies

    • Peter Müller
    Pages 381-395

  16. Maximum likelihood estimators in the equations of physical oceanography

    • L. Piterbarg, B. Rozovskii
    Pages 397-421

  17. Chaotic transport by mesoscale motions

    • R. M. Samelson
    Pages 423-438

  18. Chaotic Transport and Mixing by Ocean Gyre Circulation

    • Huijun Yang
    Pages 439-466

  19. Back Matter

    Pages 467-469
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Keywords

About this book

The study of the ocean is almost as old as the history of mankind itself. When the first seafarers set out in their primitive ships they had to understand, as best they could, tides and currents, eddies and vortices, for lack of understanding often led to loss of live. These primitive oceanographers were, of course, primarily statisticians. They collected what empirical data they could, and passed it down, ini­ tially by word of mouth, to their descendants. Data collection continued throughout the millenia, and although data bases became larger, more re­ liable, and better codified, it was not really until surprisingly recently that mankind began to try to understand the physics behind these data, and, shortly afterwards, to attempt to model it. The basic modelling tool of physical oceanography is, today, the partial differential equation. Somehow, we all 'know" that if only we could find the right set of equations, with the right initial and boundary conditions, then we could solve the mysteries of ocean dynamics once and for all.

Editors and Affiliations

  • Faculty of Industrial Engineering and Management, Technion University, Haifa, Israel

    Robert J. Adler

  • Department of Oceanography, University of Hawaii, Honolulu, USA

    Peter Müller

  • Center for Applied Mathematical Sciences, University of Southern California, Los Angeles, USA

    Boris L. Rozovskii

Bibliographic Information

  • Book Title: Stochastic Modelling in Physical Oceanography

  • Editors: Robert J. Adler, Peter Müller, Boris L. Rozovskii

  • Series Title: Progress in Probability

  • DOI: https://doi.org/10.1007/978-1-4612-2430-3

  • Publisher: Birkhäuser Boston, MA

  • eBook Packages: Springer Book Archive

  • Copyright Information: Birkhäuser Boston 1996

  • Hardcover ISBN: 978-0-8176-3798-9Due: 28 March 1996

  • Softcover ISBN: 978-1-4612-7533-6Published: 30 September 2011

  • eBook ISBN: 978-1-4612-2430-3Published: 06 December 2012

  • Series ISSN: 1050-6977

  • Series E-ISSN: 2297-0428

  • Edition Number: 1

  • Number of Pages: 466

  • Topics: Probability Theory and Stochastic Processes, Earth Sciences, general, Oceanography

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