39 citations · 113 across the 7 of their papers we have counts for
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physics.ao-ph2022★ 1 cited
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification
Daniel Getter, Julie Bessac, Johann Rudi +1
Machine learning models have been employed to perform either physics-free data-driven or hybrid dynamical downscaling of climate data. Most of these implementations operate over re…
physics.comp-ph2022★ 37 cited
Flash-X, a multiphysics simulation software instrument
Anshu Dubey, Klaus Weide, Jared O'Neal +28
Flash-X is a highly composable multiphysics software system that can be used to simulate physical phenomena in several scientific domains. It derives some of its solvers from FLASH…