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The aim is to make students familiar with statistical methods that are utilized in the atmospheric sciences, and
with their applications to specific climatological and meteorological tasks. Last update: Kliment Zdeněk, doc. RNDr., CSc. (25.03.2011)
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Basic mathematical concepts, basic statistical concepts and procedures (basics of probability calculus, random variables, empirical distributions, moments of distributions) and their application to climate and meteorological data Tools and means for preliminary data analysis Parametric distributions Extremes, extreme value distributions Correlation and regression Statistical hypotheses testing Analysis of variance Time series, autoregression processes, Markov chains, stochastic weather generators Introduction to multivariate statistical methods: multiple regression, principal component analysis, canonical correlation analysis, discriminant analysis, classification and cluster analysis Forecast verification
Literature: Wilks, D.S.: Statistical Methods in the Atmospheric Sciences von Storch, H., Zwiers, F.W.: Statistical Analysis in Climate Research Last update: Kliment Zdeněk, doc. RNDr., CSc. (25.03.2011)
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