Eitemau Tebyg

• Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
  gan: Behrens, Gunnar, et al.
  Cyhoeddwyd: (2024)
• Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON
  gan: Heuer, Helge, et al.
  Cyhoeddwyd: (2023)
• Data-Driven Equation Discovery of a Cloud Cover Parameterization
  gan: Grundner, Arthur, et al.
  Cyhoeddwyd: (2023)
• Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
  gan: Heuer, Helge, et al.
  Cyhoeddwyd: (2025)
• Causally-informed deep learning to improve climate models and projections
  gan: Iglesias-Suarez, Fernando, et al.
  Cyhoeddwyd: (2023)