Statistical Methods in the Atmospheric Sciences (International Geophysics): Volume 100 - Hardcover

Daniel S. Wilks

Hardcover

ISBN 10: 0123850223 ISBN 13: 9780123850225

Publisher: Academic Press, 2011

Synopsis

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.

Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting

Many worked examples

End-of-chapter exercises, with answers provided

About this title

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

About the Author:

Daniel S. Wilks 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.

About this edition

• Publisher: Academic Press
• Publication date: 2011
• ISBN 10: 0123850223
• ISBN 13: 9780123850225
• Binding: Hardcover
• Edition number: 3
• Number of pages: 704