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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Editorial Reviews
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"...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
"...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
Book Description
Intended to fill a void in the atmospheric science literature, this self-contained text outlines the physical and mathematical basis of all aspects of atmospheric analysis as well as topics important in several other fields outside of it, including atmospheric dynamics and statistics.
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5.0 out of 5 stars
THE authoritative source for this subject,
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This review is from: Atmospheric Data Analysis (Cambridge Atmospheric and Space Science Series) (Paperback)
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If you want a thorough, complete, and accurate treatise on observational data analysis in the environmental sciences (I am an oceanographer, not a meteorologist), this is the book.
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First Sentence:
One of the worst snowstorms in living memory struck the U.S. mid-Atlantic states during 18-19 February 1979. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
statistical interpolation algorithm, analysis gridpoint, nonlinear balance equation, continuous data assimilation, expected analysis error, constrained initialization, correlated observation error, linearized shallow water model, expected background error variance, geopotential observations, posteriori weights, slow mode amplitudes, normal mode initialization procedure, background error statistics, objective analysis algorithm, background error correlations, observation error variance, variational normal mode initialization, observation increments, future atmospheric states, wind covariances, bounded derivative method, normal mode space, omega equation, specified weight function Key Phrases - Capitalized Phrases (CAPs): (learn more)
The American Meteorological Society, North America, Jule Charney New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
One of the worst snowstorms in living memory struck the U.S. mid-Atlantic states during 18-19 February 1979. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
statistical interpolation algorithm, analysis gridpoint, nonlinear balance equation, continuous data assimilation, expected analysis error, constrained initialization, correlated observation error, linearized shallow water model, expected background error variance, geopotential observations, posteriori weights, slow mode amplitudes, normal mode initialization procedure, background error statistics, objective analysis algorithm, background error correlations, observation error variance, variational normal mode initialization, observation increments, future atmospheric states, wind covariances, bounded derivative method, normal mode space, omega equation, specified weight function Key Phrases - Capitalized Phrases (CAPs): (learn more)
The American Meteorological Society, North America, Jule Charney New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
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49
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- Physics and Chemistry of the Upper Atmosphere (Cambridge Atmospheric and Space Science Series) by M. H. Rees in Back Cover
- Numerical Simulations in the Environmental and Earth Sciences: Proceedings of the Second UNAM-CRAY Supercomputing Conference by Fernando García-García on page 201, page 209, and page 245
- Inverse Methods for Atmospheric Sounding : Theory and Practice (Series on Atmospheric Oceanic and Planetary Physics) by Clive D. Rodgers on page 130, and Back Matter
- Inverse Methods in Physical Oceanography (Cambridge Monographs on Mechanics) by Andrew F. Bennett in Front Matter, and Back Matter
- Weather Radar: Principles and Advanced Applications (Physics of Earth and Space Environments) by Peter Meischner on page 111, and page 276
- Inverse Problems in Atmospheric Constituent Transport (Cambridge Atmospheric and Space Science Series) by I. G. Enting on page 123, and Back Matter
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