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701-1253-00L 3 Credits DS , MSC D-USYS , D-ERDW
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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 15:06:22

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 pertinent 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 pertinent results.

Content

Introduction into the theoretical background and the practical application of methods of data analysis in meteorology and climatology. Topics: techniques of model evaluation and verification, analysis of extreme values, spatial data analysis, principal component analysis and field-field correlation techniques, data assimilation, techniques of climate change detection and attribution. The lecture also provides an introduction into R, a programming language and graphics tool frequently used for data analysis in meteorology and climatology.

Resources

Lecture Notes

copies of documented view graphs that are discussed during the lecture

Literature

Suggested literature: - von Storch Hans and Zwiers Francis W., 1999: Statistical Analysis in Climate Research, Cambridge University Press. - Wilks Daniel S., 2005: Statistical Methods in the Atmospheric Science. (2nd edition). International Geophysical Series, Academic Press Inc. (London)

General Information

Language
English
Levels
DS , 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