24824a
Vorlesung
WiSe 16/17: Weather and Climate Diagnostics
Henning Rust
Kommentar
Qualification objectives: Students are able to describe and assess selected weather and climate phenomena using diagnostic approaches, including calculation of spatio-temporal variability and knowledge of the underlying physical processes. They learn methods for the temporal and spatial analysis of observational data and numerical simulation results (including forecast models) and how to implement them in practice using a programming language. Students are familiar with the basic outcomes of these methods.
Contents:
Procedures for identifying meteorological phenomena at various spatial and temporal scales and assessing their spatio-temporal variability, underlying factors and mechanisms, connections between such phenomena: large-scale variability patterns (e.g. NAO, PNA, QBO, polar vortices, weather conditions) including interaction with the ocean; synoptic scale variability of the extratropics (waves, cyclones and emergence mechanisms, identification, measures of intensity, effects); weather parameters at stations. Exercise course: Computations related to lecture topics, using datasets and mathematical-statistical procedures (including multivariate statistics, cluster analysis). Schließen
15 Termine
Regelmäßige Termine der Lehrveranstaltung
Mo, 17.10.2016 10:30 - 12:00
Mo, 24.10.2016 10:30 - 12:00
Mo, 31.10.2016 10:30 - 12:00
Mo, 07.11.2016 10:30 - 12:00
Mo, 14.11.2016 10:30 - 12:00
Mo, 21.11.2016 10:30 - 12:00
Mo, 28.11.2016 10:30 - 12:00
Mo, 05.12.2016 10:30 - 12:00
Mo, 12.12.2016 10:30 - 12:00
Mo, 09.01.2017 10:30 - 12:00
Mo, 16.01.2017 10:30 - 12:00
Mo, 23.01.2017 10:30 - 12:00
Mo, 30.01.2017 10:30 - 12:00
Mo, 06.02.2017 10:30 - 12:00
Mo, 13.02.2017 10:30 - 12:00