Atmospheric Data Analysis - Brossura

Roger Daley

Brossura

ISBN 10: 0521458250 ISBN 13: 9780521458252

Casa editrice: Cambridge University Press, 2022

Riassunto

Atmospheric analysis is the method of transforming the enormous and scattered database of atmospheric observations into the powerful mathematical and physical tools required to meet the growing demand for atmospheric data. 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.

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Recensione:

"...a synthesizing text that fills a major need and that will be highly appreciated in many departments concerned with environmental analysis." American Scientist

"...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

Descrizione del libro:

Atmospheric analysis is the methods of transforming the enormous and scattered database of atmospheric observations into the powerful mathematical and physical tools required to meet the growing demand for atmospheric data. Atmospheric Data is self-contained, and includes topics important in several other fields outside atmospheric observation, including atmospheric dynamics and statistics.

Su questa edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2022
• ISBN 10: 0521458250
• ISBN 13: 9780521458252
• Rilegatura: Copertina flessibile
• Numero di pagine: 100