Large Eddy Simulations with ClimateMachine.jl

Climate models rely on parameterizations of physical processes whose direct numerical simulation (DNS) is infeasible because of its enormous computational cost. The accurate representation of unresolved processes below the grid scale of global climate models (GCMs), such as atmospheric turbulence and convection, is important for our ability to predict and understand climate. Large-eddy simulation (LES) frameworks are designed to allow studies of processes that are subgrid-scale in GCMs by examining smaller sections of the globe in greater detail. Processes whose relevant length-scales are smaller than the grid-scales in GCMs (typically tens to hundreds of kilometers) can be examined in greater…
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