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Praise for the First Edition:
"I recommend this book, without hesitation, as either a reference or course text...Wilks' excellent book provides a thorough base in applied statistical methods for atmospheric sciences."--BAMS (Bulletin of the American Meteorological Society)
Fundamentally, statistics is concerned with managing data and making inferences and forecasts in the face of uncertainty. It should not be surprising, therefore, that statistical methods have a key role to play in the atmospheric sciences. It is the uncertainty in atmospheric behavior that continues to move research forward and drive innovations in atmospheric modeling and prediction.
This revised and expanded text explains the latest statistical methods that are being used to describe, analyze, test and forecast atmospheric data. It features numerous worked examples, illustrations, equations, and exercises with separate solutions. Statistical Methods in the Atmospheric Sciences, Second Edition will help advanced students and professionals understand and communicate what their data sets have to say, and make sense of the scientific literature in meteorology, climatology, and related disciplines.
* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting
* Features numerous worked examples and exercises
* Covers Model Output Statistic (MOS) with an introduction to the Kalman filter, an approach that tolerates frequent model changes
* Includes a detailed section on forecast verification
New in this Edition:
* Expanded treatment of resampling tests and coverage of key analysis techniques
* Updated treatment of ensemble forecasting
* Edits and revisions throughout the text plus updated references
- Sales Rank: #1587055 in Books
- Published on: 2005-12-05
- Original language: English
- Number of items: 1
- Dimensions: 1.20" h x 10.40" w x 7.40" l, 3.05 pounds
- Binding: Hardcover
- 648 pages
Review
"I would strongly recommend this book... To those who already posses the first edition and are satisfied users, you would be hard-pressed to do without the second edition."
--Bulletin of the American Meteorological Society
"What makes this book specific to meterology, and not just to applied statistics, are it's extensive examples and two chapters on statistcal forecasting and forecast evaluation."
-William (Matt) Briggs, Weill Medical College of Cornell University
About the Author
Has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, and is the author of Statistical Methods in the Atmospheric Sciences (2011, Academic Press), which is in its third edition and has been continuously in print since 1995. Research areas include statistical forecasting, forecast postprocessing, and forecast evaluation.
Most helpful customer reviews
19 of 19 people found the following review helpful.
A Godsend for Working Scientists
By David W. Fanning
I judge the usefulness of a book by how quickly I can learn something new and apply it to the problem I am currently working on. Most statistics books, judged by this criteria, fail miserably. But here is a book that not only succeeds, but succeeds so well I actually find myself getting excited about reading the next chapter, which has nothing to do with the problem at hand! By confining himself to just a handful of simple data sets, Wilks makes it possible to work though the examples in detail and in a variety of ways. But the most important benefit to me is that I can immediately turn his examples into software code (I use IDL), which I can use to solve my problem. Unlike so many books, which provide the broad theoretical strokes, but leave the details in shadow, Wilks explains the details in simple, straightforward language. His explanation of harmonic analysis and FFT spectral analysis was so crystal clear I believe it was the first time I thought I truly understood this important concept. I can imagine there will be statisticians who will not like this book. But for those of us working with environmental data who need to know some statistics to get our work done, this book is a godsend.
5 of 5 people found the following review helpful.
Very useful text and reference
By Mark
Like the first edition, this book is an excellent and thorough overview of statistical methods used in the atmospheric sciences.
The main updates which are included in the second edition are the six final chapters (chapters 9-14) which cover multi-variate statistical methods as an expansion of that covered in one chapter of the first edition.
An excellent reference text for many geophysical researchers.
0 of 0 people found the following review helpful.
Well written text. Easy to understand.
By George A. Livingston
I highly recommend this book for those interested in atmospheric science statistical methods. Three cheers and five stars for this great book.
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