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Simon Driscoll
University of CambridgeMeeting roles in:
Advances in Data Assimilation, Data Fusion, Machine Learning, Predictability, and Uncertainty Quantification in the Geosciences III: Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling III Oral
Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling I Oral
Developments in Machine Learning Across Earth System Modeling: Subgrid-Scale Parameterizations, Emulation, and Hybrid Modeling II Poster
Exploring the Dynamical and Physical Encoding of Idealised Baroclinic Waves in a Deep Learning Weather Model
Machine Learning for sensor placement and understanding the climates of Africa and Asia
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