Michael Maier-Gerber

Michael Maier-Gerber

Research Assistant (PhD student)

Karlsruhe Institute of Technology

Biography

I am a PhD student in the working group Atmospheric Dynamics at the Karlsruhe Institute of Technology (KIT), supervised by Andreas H. Fink and Michael Riemer (JGU, Mainz). As a member of the DFG Transregional Collaborative Research Center “Waves to Weather”, I am working in project C3 (”Predictability of tropical and hybrid cyclones over the North Atlantic Ocean”) on the development of statistical-dynamical models for probabilsitic predictions of sub-seasonal tropical cyclone activity. The aim of this work is to investigate a broad range of meteorologically relevant predictors, and to compare different model types and architectures with respect to their performance and physical interpretability.

Interests

  • Tropical Cyclones & Extreme Events
  • Dynamical & Tropical Meteorology
  • Statistical Forecasting & Machine Learning
  • Forecast Verification

Education

  • MSc in Meteorology, 2017

    Karlsruhe Institute of Technology, Germany

  • BSc in Meteorology, 2014

    Karlsruhe Institute of Technology, Germany

Experience

 
 
 
 
 

Research Visits

University of Colorado, University of Florida, State University of Albany and others

Apr 2018 – May 2018 USA
Funded by the Early-Career Scientist Grant of “Waves to Weather”
 
 
 
 
 

Research Assistant (PhD student)

WG Atmospheric Dynamics, Karlsruhe Institute of Technology (KIT)

Dec 2017 – Present Karlsruhe, Germany
 
 
 
 
 

Research Assistant

WG Atmospheric Dynamics, Karlsruhe Institute of Technology (KIT)

May 2017 – Dec 2017 Karlsruhe, Germany
 
 
 
 
 

Student Research Assistant

WG Land Surfaces and Boundary Layer, Karlsruhe Institute of Technology (KIT)

Feb 2015 – Dec 2016 Karlsruhe, Germany
 
 
 
 
 

Research Internship

Hurricane Research Division (AOML, NOAA)

May 2014 – Aug 2014 Miami, FL, USA

Recent Publications

Statistical-Dynamical Forecasting of Sub-Seasonal North Atlantic Tropical Cyclone Occurrence

Assessing the predictability of Medicanes in ECMWF ensemble forecasts using an object-based approach

Tropical Transition of Hurricane Chris (2012) over the North Atlantic Ocean: A Multiscale Investigation of Predictability

Birth of the Biscane

Conference Talks and Posters

(2021). Statistical-Dynamical Forecasting of Sub-Seasonal North Atlantic Tropical Cyclone Occurrence. American Meteorological Society, 34th Conference on Hurricanes and Tropical Meteorology, Online, 10-14 May 2021.

(2021). Using machine learning to leverage subseasonal forecasts of tropical cyclone occurrence. Helmholtz Association, Helmholtz AI Virtual Conference 2021, Online, 14-15 April 2021.

(2020). Equatorial waves as a key element for weather prediction in the tropics. Aeolus Cal/Val & Science Workshop 2020, Online, 2-6 November 2020.

(2019). Statistical-Dynamical Forecasting of North Atlantic TC Activity on the Subseasonal Time Scales. Waves to Weather, 19th Cyclone Workshop, Seeon, Bavaria, Germany, 29 Septepmber-4 October 2019.

(2018). Tropical Transition of Hurricane Chris (2012) over the North Atlantic Ocean: A Multiscale Investigation of Predictability. American Meteorological Society, 33rd Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, FL, USA, 16-20 April 2018.

(2018). Birth of the Biscane. American Meteorological Society, 33rd Conference on Hurricanes and Tropical Meteorology, Ponte Vedra, FL, USA, 16-20 April 2018.

Contact