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.

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.

Includes bibliographical references (p. 444-453) and index.

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