27–30 Mar 2023
Mathematical Institute for Machine Learning and Data Science, Ingolstadt
Europe/Berlin timezone

The conference brings together researchers working on consistent modeling, data-driven approaches, and uncertainty in short-to-medium term forecasting with researchers on related questions on climate scales. It aims to interlink recent advances in both fields and showcase new developments the underlying theory, methods, and parametrizations.

Topics

  • uncertainty quantification and predictability
  • parametrizations and structure-preserving and invariant-conserving schemes
  • data-driven modeling and machine learning, data assimilation
  • waves in atmosphere and ocean, wave-vortex interactions

 

The conference is supported by the German Collaborative Research Networks TRR 165 “Waves to Weather” and TRR 181 “Energy Transfers in Atmosphere and Ocean” funded by the German Research Foundation (DFG). It will feature highlights from within the networks as well as contributions from the global research community.

Starts
Ends
Europe/Berlin
Mathematical Institute for Machine Learning and Data Science, Ingolstadt
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