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Atmospheric Data Analysis is intended to fill a void in the atmospheric science literature and curricula. The book is self contained, and includes topics important in several other fields outside atmospheric observation, including atmospheric dynamics and statistics. It outlines the physical and mathematical basis of all aspects of atmospheric analysis. The emphasis is on the theoretical foundation of the subject and most of the development is analytic, but many practical considerations and examples are introduced. There are numerous exercises at the end of each chapter to aid the student in comprehending the material.
Reviews & endorsements
"...a synthesizing text that fills a major need and that will be highly appreciated in many departments concerned with environmental analysis." American ScientistSee more reviews
"...should be on the shelf of anyone with more than a purely selfish interest in weather prediction and related fields..." Andrew R. Solow, Journal of the American Statistical Association
"...fills an essential gap in academic meteorological literature. Ample discussion of actual trends in the subject presented in the last chapter, as well as references to very recent results, protect the book against too rapid outdating. Though basically intended for graduate students, this well written and carefully edited position will certainly be a valuable aid also for more advanced professionals in various fields of atmospheric sciences." Krzysztof Haman, Pageoph
13th Apr 2019 by HILARINO87
Global physical climatology is a very interesting topic since everything is constantly changing and the studies in this book go deeper into the system of the general circulation of the atmosphere, how the atmosphere, ocean and land surface interact.
Review was not posted due to profanity×
- Date Published: November 1993
- format: Paperback
- isbn: 9780521458252
- length: 472 pages
- dimensions: 237 x 192 x 26 mm
- weight: 0.82kg
- contains: 103 b/w illus.
- availability: Available
Table of Contents
2. Function fitting
3. The method of successive corrections
4. Statistical interpolation - univariate
5. Statistical interpolation - multivariate
6. The initialisation problem
7. Quasi-geostrophic constraints
8. Variational procedures
9. Normal mode initialisation - theory
10. Normal mode initialisation - applications
11. Dynamic initialisation
12. Continuous data assimilation
13. Future directions
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