69 citations · 124 across the 5 of their papers we have counts for
5 papers
Generative convective parametrization of dry atmospheric boundary layer
Florian Heyder, Juan Pedro Mellado, Jörg Schumacher
Turbulence parametrizations will remain a necessary building block in kilometer-scale Earth system models. In convective boundary layers, where the mean vertical gradients of conse…
Reduced-order modeling of two-dimensional turbulent Rayleigh-Bénard flow by hybrid quantum-classical reservoir computing
Philipp Pfeffer, Florian Heyder, Jörg Schumacher
Two hybrid quantum-classical reservoir computing models are presented to reproduce low-order statistical properties of a two-dimensional turbulent Rayleigh-Bénard convection flow a…
Hybrid quantum-classical reservoir computing of thermal convection flow
Philipp Pfeffer, Florian Heyder, Jörg Schumacher
We simulate the nonlinear chaotic dynamics of Lorenz-type models for a classical two-dimensional thermal convection flow with 3 and 8 degrees of freedom by a hybrid quantum--classi…
Generalizability of reservoir computing for flux-driven two-dimensional convection
Florian Heyder, Juan Pedro Mellado, Jörg Schumacher
We explore the generalization properties of an echo state network applied as a reduced dynamical model to predict flux-driven two-dimensional turbulent convection. To this end, we…
Echo State Network for two-dimensional turbulent moist Rayleigh-Bénard convection
Florian Heyder, Jörg Schumacher
Recurrent neural networks are machine learning algorithms which are suited well to predict time series. Echo state networks are one specific implementation of such neural networks…