Andrew F. Bennett

Inverse Modeling of the Ocean and Atmosphere (eBook, PDF)

• Format: PDF

Produktbeschreibung

Inverse Modeling of the Ocean and Atmosphere is a graduate-level book for students of oceanography and meteorology, and anyone interested in combining computer models and observations of the hydrosphere or solid earth. A step-by-step development of maximally efficient inversion algorithms, using ideal models, is complemented by computer codes and comprehensive details for realistic models. Variational tools and statistical concepts are concisely introduced, and applications to contemporary research models, together with elaborate observing systems, are examined in detail. The book offers a review of the various alternative approaches, and further advanced research topics are discussed. Derived from the author's lecture notes, this book constitutes an ideal course companion for graduate students, as well as being a valuable reference source for researchers and managers in theoretical earth science, civil engineering and applied mathematics.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 20. Oktober 2005
• Englisch
• ISBN-13: 9780511030246
• Artikelnr.: 38212849

Autorenporträt

ANDREW BENNETT was awarded a Ph.D. in applied mathematics from Harvard University in 1971. He subsequently continued his research as a National Research Council Fellow at the University of Toronto, and as a Queen's Fellow in Marine Science at Monash University (Melbourne, Australia). Following 8 years as a lecturer and senior lecturer in the Department of Mathematics at Monash University, he became a research scientist at the Institute of Ocean Sciences, Sidney, B.C., Canada. He has been a professor at the College of Oceanic and Atmospheric Sciences at Oregon State University since 1987, where his research interests include ocean data assimilation, turbulence theory, and regional modeling. Professor Bennett has won refereeing awards from the Journal of Physical Oceanography (1986) and the Journal of Geophysical Research (1995), and is also the author of Inverse Methods in Physical Oceanography (Cambridge University Press, 1992).

Inhaltsangabe

Preamble
1. Variational assimilation
2. Interpretation
3. Implementation
4. The varieties of linear and nonlinear estimation
5. The ocean and the atmosphere
6. Ill-posed forecasting problems
References
Appendix A. Computing exercises
Appendix B. Euler-Lagrange equations for a numerical weather prediction model
Index.