Statistical Methods in the Atmospheric Sciences: An Introduction (Volume 59) (International Geophysics, Volume 59) - Hardcover

Wilks, Daniel S.

Hardcover

ISBN 10: 0127519653 ISBN 13: 9780127519654

Publisher: Academic Press, 1995

Synopsis

This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth.

Key Features* Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting* Includes extensive and up-to-date references* Features numerous worked examples and exercises* Contains over 130 illustrations

About this title

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.

Edition details

• Publisher: Academic Press
• Publication date: 1995
• Language: English
• ISBN 10: 0127519653
• ISBN 13: 9780127519654
• Binding: Hardcover
• Number of pages: 467