Research Interests

  • European weather and extremes on subseasonal to seasonal (S2S) timescales
  • S2S forecasting with machine learning models
  • Links of major sudden stratospheric warming events to European cold waves

Curriculum Vitae

  • since 2020: PhD student, IMK-TRO, KIT
  • 2016 - 2020: M.Sc. in meteorology, KIT
  • 2013 - 2016: B.Sc. in meteorology, KIT


  • Climatology practicals (BSc, 2021-2022)
  • Methods of Data Analysis practicals (MSc, since 2023)


Can Machine Learning Models be a Suitable Tool for Predicting Central European Cold Winter Weather on Subseasonal to Seasonal Timescales?
Kiefer, S. M.; Lerch, S.; Ludwig, P.; Pinto, J. G.
2023. Artificial Intelligence for the Earth Systems, 2 (4), Art.-Nr.: e230020. doi:10.1175/AIES-D-23-0020.1

Other publications

Master Thesis
Kiefer, S. (2020): Characteristics of Selected Major Sudden Stratospheric Warming Events and their Links to European Cold Waves in Extended Range Ensemble Forecasts. Supervisors: J. G. Pinto (IMK-TRO, KIT) and P. Braesicke (IMK-ASF, KIT) link