Florian Baur
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Florian Baur
- Bis heute 5 Jahre und 6 Monate, seit Jan. 2020
Postdoctoral Researcher
Deutscher Wetterdienst
In this research position at Deutscher Wetterdienst, my primary responsibility was to enhance the fast forward operator (MFASIS) for generating synthetic satellite images in the solar spectrum, with a specific focus on cloud and aerosol-affected radiances.
- 2 Jahre, Sep. 2013 - Aug. 2015
Synoptic Meteorologist
http://www.alpenbergwetter.com/
Produce weather forecasts for mountaineering purpose
- 5 Monate, März 2012 - Juli 2012Leopold-Franzens-Universität Innsbruck
Tutor - Meteorologischen Praktikum
Ausbildung von Florian Baur
- 3 Jahre und 6 Monate, Feb. 2016 - Juli 2019
Research
LMU München
My PhD research focused on one of the key challenges in numerical weather prediction: accurately forecasting the location and intensity of convective weather events, such as thunderstorms, which can have devastating impacts. Specifically, I investigated how soil moisture heterogeneity influences convective precipitation across Central Europe, using the numerical weather prediction model operational at the German Weather Service (DWD).
- 3 Jahre und 6 Monate, Feb. 2016 - Juli 2019
Research
LMU München
My PhD research focused on one of the key challenges in numerical weather prediction: accurately forecasting the location and intensity of convective weather events, such as thunderstorms, which can have devastating impacts. Specifically, I investigated how soil moisture heterogeneity influences convective precipitation across Central Europe, using the numerical weather prediction model operational at the German Weather Service (DWD).
- 3 Jahre und 6 Monate, Feb. 2016 - Juli 2019
Research
LMU München
My PhD research focused on one of the key challenges in numerical weather prediction: accurately forecasting the location and intensity of convective weather events, such as thunderstorms, which can have devastating impacts. Specifically, I investigated how soil moisture heterogeneity influences convective precipitation across Central Europe, using the numerical weather prediction model operational at the German Weather Service (DWD).
- 3 Jahre und 6 Monate, Feb. 2016 - Juli 2019
Research
LMU München
My PhD research focused on one of the key challenges in numerical weather prediction: accurately forecasting the location and intensity of convective weather events, such as thunderstorms, which can have devastating impacts. Specifically, I investigated how soil moisture heterogeneity influences convective precipitation across Central Europe, using the numerical weather prediction model operational at the German Weather Service (DWD).
- 3 Jahre und 6 Monate, Feb. 2016 - Juli 2019
Research
LMU München
- 6 Jahre und 4 Monate, Okt. 2009 - Jan. 2016
Atmospheric sciences
University of Innsbruck
Boundary Layer Meteorology, Synoptic Meteorology
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
Französisch
Grundlagen
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