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Found 5 papers, 0 papers with code
Generative convective parametrization of dry atmospheric boundary layer
In this work, we present a parametrization for a dry convective boundary layer based on a generative adversarial network.
Direct data-driven forecast of local turbulent heat flux in Rayleigh-Bénard convection
A combined convolutional autoencoder-recurrent neural network machine learning model is presented to analyse and forecast the dynamics and low-order statistics of the local convective heat flux field in a two-dimensional turbulent Rayleigh-B\'{e}nard convection flow at Prandtl number ${\rm Pr}=7$ and Rayleigh number ${\rm Ra}=10^7$.
Echo State Network for two-dimensional turbulent moist Rayleigh-Bénard convection
The reservoir is subsequently fed by the data and results in predictions of future flow states.
Supergranule aggregation for constant heat flux-driven turbulent convection
Turbulent convection processes in nature are often found to be organized in a hierarchy of plume structures and flow patterns.
Fluid Dynamics Solar and Stellar Astrophysics
Reservoir computing model of two-dimensional turbulent convection
Reservoir computing is applied to model the large-scale evolution and the resulting low-order turbulence statistics of a two-dimensional turbulent Rayleigh-B\'{e}nard convection flow at a Rayleigh number ${\rm Ra}=10^7$ and a Prandtl number ${\rm Pr}=7$ in an extended domain with an aspect ratio of 6.
