Add to ORKGParameterizations in numerical weather prediction models are intended to represent sub-grid scale processes. Increased computing power has led to increased resolution in NWP models, and thus th
Due to the massive disparity between the largest and smallest eddies in the atmosphere and ocean, it...
Numerical weather prediction (NWP) modeling always involves boundary layer (BL) parameterization sch...
The scale dependency of variance of total water mixing ratio is explored by analyzing data from a ge...
With increasing resolution of numerical weather prediction (NWP) models, classical subgrid‐scale pro...
The explosive growth of computing power, coupled with scientific and technological emphasis on a nat...
Numerical cloud models, which are based the non-hydrostatic equations of motion, have been extensive...
The long-term success of climate models that operate on multiresolution grids depends on access to s...
The central theme of this paper is to describe how cloud system resolving models (CRMs) of grid spac...
A large-domain large-eddy simulation of a tropical deep convection system is used as a benchmark to ...
Numerical weather prediction models are increasing in resolution and becoming capable of explicitly ...
A cloud-resolving model (CRM) allows performing numerical simulations of convective clouds, such as ...
Computer power has grown to the point that very-fine-mesh mesoscale modelling is now possible. Going...
Numerical computer models play a key role in Earth science. They are used to make predictions on tim...
The non-local turbulence parameterization, i. e., transilient theory was used in the host model MM4 ...
Systematic biases in the representation of boundary layer (BL) clouds are a leading source of uncert...
Due to the massive disparity between the largest and smallest eddies in the atmosphere and ocean, it...
Numerical weather prediction (NWP) modeling always involves boundary layer (BL) parameterization sch...
The scale dependency of variance of total water mixing ratio is explored by analyzing data from a ge...
With increasing resolution of numerical weather prediction (NWP) models, classical subgrid‐scale pro...
The explosive growth of computing power, coupled with scientific and technological emphasis on a nat...
Numerical cloud models, which are based the non-hydrostatic equations of motion, have been extensive...
The long-term success of climate models that operate on multiresolution grids depends on access to s...
The central theme of this paper is to describe how cloud system resolving models (CRMs) of grid spac...
A large-domain large-eddy simulation of a tropical deep convection system is used as a benchmark to ...
Numerical weather prediction models are increasing in resolution and becoming capable of explicitly ...
A cloud-resolving model (CRM) allows performing numerical simulations of convective clouds, such as ...
Computer power has grown to the point that very-fine-mesh mesoscale modelling is now possible. Going...
Numerical computer models play a key role in Earth science. They are used to make predictions on tim...
The non-local turbulence parameterization, i. e., transilient theory was used in the host model MM4 ...
Systematic biases in the representation of boundary layer (BL) clouds are a leading source of uncert...
Due to the massive disparity between the largest and smallest eddies in the atmosphere and ocean, it...
Numerical weather prediction (NWP) modeling always involves boundary layer (BL) parameterization sch...
The scale dependency of variance of total water mixing ratio is explored by analyzing data from a ge...