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701-1253-00L 3 Credits DR , MSC D-USYS , D-ERDW , D-BAUG , D-MAVT , D-INFK , D-MTEC , D-MATH , D-BIOL , D-GESS , D-ITET , D-ARCH , D-CHAB
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Analysis of climate and weather data

Lecturers & Examiners: PD Dr. Christoph Frei
VVZ CR n/a

Last Updated: 2026-02-05 15:14:55

Abstract

Observation networks and numerical climate and forcasting models deliver large primary datasets. The use of this data in practice and in research requires specific techniques of statistical data analysis. This lecture introduces a range of frequently used techniques, and enables students to apply them and to properly interpret their results.

Objective

Observation networks and numerical climate and forcasting models deliver large primary datasets. The use of this data in practice and in research requires specific techniques of statistical data analysis. This lecture introduces a range of frequently used techniques, and enables students to apply them and to properly interpret their results.

Content

Introduction into the theoretical background and the practical application of methods of data analysis in meteorology and climatology. Topics: exploratory methods, hypothesis tests, analysis of climate trends, measuring the skill of climate and forecasting models, analysis of extreme events, principal component analysis and field-field correlation techniques. The lecture also provides an introduction into R, a programming language and graphics tool, which is frequently used for data analysis in meteorology and climatology. During hands-on computer exercises the student will become familiar with the practical application of the methods.

Resources

Lecture Notes

Documentation and supporting material include:- documented view graphs used during the lecture- excercise sets and solutions- R-packages with software and example datasets for exercise sessionsAll material is made available via lecture web-page.

Literature

Suggested literature: - Wilks D.S., 2005: Statistical Methods in the Atmospheric Science. (2nd edition). International Geophysical Series, Academic Press Inc. (London) - Coles S., 2001: An introduction to statistical modeling of extreme values. Springer, London. 208 pp.

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 30 minutes

Course Components

Type Title Time & Place Hours
lecture with exercise Analysis of climate and weather data
  • Thu 15:15-17:00 (LFW C 1)
2 h weekly

Offered In