Statistical Methods in the Atmospheric Sciences

An essential resource for students and researchers new to working with atmospheric and climate data

Daniel S. Wilks (Author)

9780128158234, Elsevier Science

Paperback, published 11 June 2019

840 pages
23.4 x 19 x 5.1 cm, 1.72 kg

Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting.

1. Introduction2. Review of Probability3. Empirical Distributions and Exploratory Data Analysis4. Parametric Probability Distributions5. Frequentist Statistical Inference6. Bayesian Inference7. Statistical Forecasting8. Ensemble Forecasting9. Forecast Verification10. Time Series11. Matrix Algebra and Random Matrices12. Multivariate Normal Distribution13. Principal Component (EOF) Analysis14. Linear multivariate analysis of vector pairs: CCA, MCA, and RA15. Discrimination and Classification16. Cluster Analysis

Subject Areas: Enterprise software [UFL], The environment [RN], Meteorology & climatology [RBP], Atmospheric physics [PHVJ]