68 citations · 113 across the 7 of their papers we have counts for
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physics.ao-ph2023★ 3 cited
Formulation and calibration of CATKE, a one-equation parameterization for microscale ocean mixing
Gregory LeClaire Wagner, Adeline Hillier, Navid C. Constantinou +7
We describe CATKE, a parameterization for fluxes associated with small-scale or "microscale" ocean turbulent mixing on scales between 1 and 100 meters. CATKE uses a downgradient fo…
physics.ao-ph2020★ 17 cited
Capturing missing physics in climate model parameterizations using neural differential equations
Ali Ramadhan, John Marshall, Andre Souza +8
We explore how neural differential equations (NDEs) may be trained on highly resolved fluid-dynamical models of unresolved scales providing an ideal framework for data-driven param…