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Inverse Modeling of the Ocean and Atmosphere is a graduate-level textbook 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, applications to contemporary research models are examined in detail and further advanced research topics are discussed.Read more
- This is a rapidly growing area of research with important implications for the current climate change debate and numerical weather prediction
- There are very few books that tackle this subject and none which compete with the thorough treatment given in this book
- Designed for graduates, with extensive computing exercises
- Overheads are available from the author's ftp site
Reviews & endorsements
"...introduces the reader to the representer method and to its geometrical and statistical interpretations. The book provides in-depth discussion of practical issues, especially concerning extensions of the representer method to large and to non-linear problems, and concerning the computation of error statistics. One of the most compelling sections of the book is the one that presents case studie dealing with the estimation of ocean tide, the prediction of tropical-cyclone tracks and intensitites, and the testing of an intermediate coupled model. This book also includes an excellent discussion of ill-posed forecasting problems and a brief review of various alternative approaches; for example, the adjoint method, the Kalman filter, and Monte Carlo approaches...the definitive reference on the application of representer methods to oceanographic and meteorological problems. The insightful and original treatment of this intricate subject ensures that inverse theory remains...See more reviews
"...as vibrant and fresh today as when it was first introduced by Gauss 200 years ago." EOS
"This book is well written and is suitable for a course for advanced undergraduates and graduate students, as well as a reference source for researchers." Mathematical Reviews
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- Date Published: January 2005
- format: Adobe eBook Reader
- isbn: 9780511030246
- contains: 41 b/w illus.
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Variational assimilation
4. The varieties of linear and nonlinear estimation
5. The ocean and the atmosphere
6. Ill-posed forecasting problems
Appendix A. Computing exercises
Appendix B. Euler-Lagrange equations for a numerical weather prediction model
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