Msc thesis topics 2019 - Portal
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Transcript of Msc thesis topics 2019 - Portal
Vulnerability to hail
> Analyse hail damage data from insurance companies and radar based hail properties to derive hail vulnerability functions for buildings and cars
> Requirements:— We are looking for someone interested in an applied research
question— This research topic entails mainly statistical data analyses— Experience with R and / or Python are an asset but not a
requirement> Supervision:
— Olivia Romppainen-Martius— Veronika Röthlisberger— Hélène Barras
> Start: September 2019> Contact: [email protected]
Lagrangian analysis of thunderstorms
> Analyse thunderstorms in Switzerland in very high-resolution weather model simulations and use trajectory analysis to investigate air stream pathways into and through the thunderstorms
> Requirements:— We are looking for someone interested in thunderstorm dynamics and meteorological data
analysis, ideally you have attended Meteo2 and Meteo3— This research topic requires some programming, previous programming experience is not
needed > Supervision:
— Tim Raupach— Andrey Martynov— Michael Sprenger (ETH Zurich)
> Start: September 2019> Contact: > [email protected]
Comparison of microphysics schemes
> Analyse the effect of microphysics parametrizations on the simulation of hailstorms in Switzerland in very high-resolution weather model simulations
> Requirements:— We are looking for someone interested in thunderstorm microphysics
and meteorological data analysis, ideally you have attended Meteo2 and Meteo3
— This research topic requires some programming, previous programming experience is not needed
> Supervision:— Tim Raupach— Andrey Martynov
> Start: September 2019> Contact: > [email protected]
Temporal clustering of heavy precipitation
> Analyse catchment aggregated precipitation data for the temporal clustering of heavy precipitation events and related floods
> Requirements:— We are looking for someone interested in applied statistics
and large-scale dynamics — This research topic entails mainly statistical data analyses— Experience with R and / or Python are an asset but not a
requirement> Supervision:
— Pauline Riviore— Mubashshir Ali— Yannick Barton
> Start: September 2019> Contact: [email protected]
