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Found 2 papers, 1 papers with code
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts
Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables.
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows
It is tested whether machine learning methods can be used for preconditioning to increase the performance of the linear solver -- the backbone of the semi-implicit, grid-point model approach for weather and climate models.
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