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651-3660-00L 3 Credits BSC , GS D-ERDW
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Analysis of Time Series in Environmental Physics and Geophysics

Analyse von Zeitreihen in der Umweltphysik und Geophysik

Lecturers & Examiners: Dr. Florian Haslinger, Dr. Anne Obermann
VVZ CR n/a

Last Updated: 2026-02-05 16:38:32

Abstract

In geoscience we are often collecting vast digitally recorded. Such time-series data can be processed to emphasize particular aspects of the signal, an enormous advantage over paper records.We introduce fundamental tools and concepts of time-series analysis, e.g. deterministic vs stochastic processes, signal correlation, and Fourier analysis.

Objective

Understanding of various methods for the analysis of time-dependent data.

Content

Based on various data sets we illustrate basic principles of time series and apply different methods of analysis: deterministic and stochastic processes, stationary and non-stationary processes, sampling theorem, trend analysis, auto- and cross-correlation, frequency analysis (Fourier Transformation). The exercises require basic knowledge of MATLAB.

Resources

Lecture Notes

Lecture notes and exercises are made available.

Literature

- R. H. Shumway and D. S. Stoffer: Time Series Analysis and its Applications. Springer, New York, 2000. - W.H. Press, B.P. Flannery, S.A. Teukolsky und W.T. Wetterling: Numerical Recipes: The Art of Scientific Computing. Cambridge University Press.

General Information

Language
German
Levels
BSC , GS
Frequency
Yearly recurring

Examination

Type
graded semester performance
Die Informationen zum Prüfungsmodus werden in der ersten Lektion bekannt gegeben.

Course Components

Type Title Time & Place Hours
lecture with exercise Analyse von Zeitreihen in der Umweltphysik und Geophysik
Diese Lehrveranstaltung besteht pro Woche aus einer Stunde Vorlesung und einer Stunde Uebungen am Computer.
  • Tue 08:15-10:00 (NO F 39)
2 h weekly

Offered In