Sprecher
Marco Banzhaf
(FFT)
Beschreibung
This presentation highlights the significance of storm surges in marinas on the Baltic Sea. It
uses the storm surge of 2023 as a case study and discusses the forecasting methods used
by the Federal Maritime and Hydrographic Agency. The speaker explains the mechanisms
of storm surges to improve understanding, examines the application of machine learning
techniques for storm surge prediction, and presents the data sets used. He addresses
challenges such as data volume and computational effort for training and validating models
and demonstrates the advantages of machine learning.
Autor
Marco Banzhaf
(FFT)
Co-Autoren
Florian Schütte
(FB1 - Physikalische Ozeanographie)
Dr.
Stephan Doerfel
(FH Kiel)
