CCMI szeminárium – Boris Bonev (NVIDIA Zurich, École Polytechnique Paris)

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Speaker: Boris Bonev (NVIDIA Zurich, École Polytechnique Paris) Title: Geometric Neural Operators for Machine Learning Probabilistic Weather Prediction Abstract: Machine learning has recently enabled fast and accurate surrogate models for numerical weather and climate prediction. However, many current architectures struggle on extreme events, introduce spurious artifacts or instabilities when they ignore the spherical geometry of the Earth, and are often tightly coupled to a particular input grid or resolution, limiting flexibility for downstream applications. These shortcomings highlight a m…