Statistical Methods in the Atmospheric Sciences
An Introduction
- 1st Edition, Volume 59 - May 25, 2011
- Imprint: Academic Press
- Author: Daniel S. Wilks
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 3 9 0 7 8 6 - 8
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 5 4 1 7 2 - 3
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… Read more
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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.
@introbul:Key Features@bul:* 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
Senior and graduate students in courses in meteorological statistics, statistical chemistry, and meteorological methods. Researchers in atmospheric science, meteorology, and oceanography.
Introduction. Review of Probability. Empirical Distributions and Exploratory Data Analysis. Theoretical Probability Distributions. Hypothesis Testing. Statistical Weather Forecasting. Forecast Verification. Time Series. Methodsfor Multivariate Data. Chapter Exercises. Appendices: Example Data Sets. Selected Probability Tables. Answers to Exercises. References. Subject Index.
- Edition: 1
- Volume: 59
- Published: May 25, 2011
- Imprint: Academic Press
- Language: English
DW
Daniel S. Wilks
Daniel S. Wilks has been a member of the Atmospheric Sciences faculty at Cornell University since 1987. His research focuses on the application of statistical methods for quantification and analysis of uncertainty in meteorological and climatological data and forecasts. Dr. Wilks has taught courses on statistics in the atmospheric sciences and has been author or coauthor of more than 100 peer-reviewed research articles.
Affiliations and expertise
Cornell UniversityRead Statistical Methods in the Atmospheric Sciences on ScienceDirect