Stochastic Modelling in Physical Oceanography

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

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. René A. Carmona, Stanislav A. Grishin, Stanislav A. Molchanov
    Pages 47-68
  3. Frank S. Henyey, Charles Macaskill
    Pages 141-184
  4. J. R. Herring
    Pages 185-205
  5. Keh-Shin Lii, Murray Rosenblatt
    Pages 295-309
  6. S. Molchanov
    Pages 343-380
  7. R. M. Samelson
    Pages 423-438
  8. Back Matter
    Pages 467-469

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.


Ocean Oceanography Tide calculus equation function mixing

Editors and affiliations

  • Robert J. Adler
    • 1
  • Peter Müller
    • 2
  • Boris L. Rozovskii
    • 3
  1. 1.Faculty of Industrial Engineering and ManagementTechnion UniversityHaifaIsrael
  2. 2.Department of OceanographyUniversity of HawaiiHonoluluUSA
  3. 3.Center for Applied Mathematical SciencesUniversity of Southern CaliforniaLos AngelesUSA

Bibliographic information