Statistical Methods in the Atmospheric Sciences, 4thedition An essential resource for students and researchers new to working with atmospheric and climate data. Daniel S. Wilks Professor, Department of Earth & Atmospheric Sciences, Cornell University, Itaca, NY, USA Statistical Methods in the Atmospheric Sciences has always strived, and succeeded, to meet the needs of students and instructors, in addition to supporting researchers and operational practitioners as a comprehensive, but still usable, reference. This newly revised 4thedition continues in that tradition. Updates, new topics and expanded sections build upon the strengths of the prior edition, while providing new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to Ensemble Forecasting. Provides a strong yet concise introduction to applied statistics, specific to atmospheric science Revised and expanded sections on nonparametric tests, test multiplicity, and quality uncertainty descriptors New sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting, and exponential smoothing About the Author Daniel Wilks has been a member of the Atmospheric Sciences faculty at Cornell University since 1987, where he is currently the Director of Graduate Studies for Atmospheric Science. His research focuses on applications of statistical methods for quantifying, analysis and dealing with uncertainty in meteorological and climatological data and forecasts. Dr.

Wilks has taught a wide array of courses on statistics in the atmospheric science, and has been an editor on over 30 journals across his career. Related Elsevier Titles Georgiev, Weather Analysis and Forecasting, 2nded ., July 2016, 9780128001943 Hartmann, Global Physical Climatology, 2nded ., December 2015, 9780123285317 Holton, An Introduction to Dynamic Meteorology, 5thed ., August 2012, 9780123848666 Marshall, Atmosphere, Ocean and Climate Dynamics , December 2007, 9780125586917.