701-1253-00L Analysis of Climate and Weather Data
| Semester | Herbstsemester 2017 |
| Dozierende | C. Frei |
| Periodizität | jährlich wiederkehrende Veranstaltung |
| Lehrsprache | Englisch |
Lehrveranstaltungen
| Nummer | Titel | Umfang | Dozierende | ||||
|---|---|---|---|---|---|---|---|
| 701-1253-00 G | Analysis of Climate and Weather Data | 2 Std. |
| C. Frei |
Katalogdaten
| Kurzbeschreibung | 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. |
| Lernziel | 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. |
| Inhalt | Introduction into the theoretical background and the practical application of methods of data analysis in meteorology and climatology. Topics: exploratory methods, hypothesis testing, analysis of climate trends, measuring the skill of climate and forecasting models, analysis of extremes, 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. |
| Skript | 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. |
| Literatur | 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. |
| Voraussetzungen / Besonderes | Prerequisites: Atmosphäre, Mathematik IV: Statistik, Anwendungsnahes Programmieren. |
Leistungskontrolle
| Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird) | |
Leistungskontrolle als Semesterkurs | |
| ECTS Kreditpunkte | 3 KP |
| Prüfende | C. Frei |
| Form | Sessionsprüfung |
| Prüfungssprache | Englisch |
| Repetition | Die Leistungskontrolle wird in jeder Session angeboten. Die Repetition ist ohne erneute Belegung der Lerneinheit möglich. |
| Prüfungsmodus | mündlich 30 Minuten |
| Diese Angaben können noch zu Semesterbeginn aktualisiert werden; verbindlich sind die Angaben auf dem Prüfungsplan. | |
Lernmaterialien
| Hauptlink | Analysis of Climate and Weather Data |
| Es werden nur die öffentlichen Lernmaterialien aufgeführt. | |
Gruppen
| Keine Informationen zu Gruppen vorhanden. |
Einschränkungen
| Keine zusätzlichen Belegungseinschränkungen vorhanden. |
