701-1253-00L Analysis of Climate and Weather Data
|Semester||Autumn Semester 2016|
|Periodicity||yearly recurring course|
|Language of instruction||English|
|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 maximum covariance analysis.
The lecture also provides an introduction into R, a programming language and graphics tool 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.
|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 sessions
All material is made available via the lecture web-page.
- 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.
|Prerequisites / Notice||Prerequisites: Atmosphäre, Mathematik IV: Statistik, Anwendungsnahes Programmieren.|
|Performance assessment information (valid until the course unit is held again)|
|Performance assessment as a semester course|
|ECTS credits||3 credits|
|Language of examination||English|
|Repetition||The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.|
|Mode of examination||oral 30 minutes|
|This information can be updated until the beginning of the semester; information on the examination timetable is binding.|
|Main link||Analysis of Climate and Weather Data|
|Only public learning materials are listed.|
|701-1253-00 G||Analysis of Climate and Weather Data||2 hrs|
|No information on groups available.|
|There are no additional restrictions for the registration.|