Machine Learning methods used in EERIE

Machine Learning methods used in EERIE

Our 10-minute presentation format Storms, Eddies and Science Hour features the following EERIE project scientists and topics related to Machine Learning methods used in EERIE:
  • Jan-Hendrik Malles (UBREMEN): “Introduction to causal model evaluation and first results from EERIE”.
  • Bobby Antonio (UOXF): “Investigating the use of a machine learning atmospheric emulator in spinning up an ocean model”.
  • Gunnar Behrens (UBREMEN): “Stochastic Deep Learning Parameterizations of Convective Processes”
Katja Weigel (UBREMEN) hosts the session.