SCREAM#

Provided by Lawrence Livermore National Laboratory (LLNL), USA

Model description#

The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM) is a non-hydrostatic, spectral element atmospheric model that discretizes the globe on a cubed sphere. Details of the components that comprise the model can be found in Caldwell et al. (2021) and at our documentation page https://e3sm.org/about/organization/ngd-sub-projects/ngd-nonhydrostatic-atmosphere/1.

Location:

/fastdata/ka1081/DYAMOND/data/winter_data/DYAMOND_WINTER/LLNL/SCREAM-3km/DW-ATM/

containing the grid file atmos/fx/gn/grid.nc

Setup:

Atmosphere-only, with land model from E3SMv1 and prescribed SST and sea ice

Resolution:

The horizontal grid for dynamics is a cubed-sphere grid with 1024 spectral elements to a face, denoted ne1024. Within each element, fields are represented by degree 3 polynomials, using nodal values on a 4x4 grid of Gauss-Lobatto-Lengdre (GLL) nodes. The edge and corner nodes are shared by adjacent elements, resulting in an average spacing between GLL nodes of ~3.25 km. Physical parameterizations are computed on a uniformly spaced 2x2 physics grid within each spectral element to avoid the nonuniform spacing of the GLL nodes. All output variables are on this physics grid.
In the vertical, SCREAM has a 128 layer grid with the model top at 40km (2.25 hPa) and a sponge layer in the top 14 layers.
The land model for this simulation is taken from E3SMv1 and run at 1/8 degree.
Prescribed SST and sea ice are applied on the ocean grid from Caldwell et al (2019) , which has 18 km grid spacing in the tropics tapering to 6 km spacing near the poles.
The experiment run with a 75 second coupling timestep across model components and the radiation scheme was run every 5 min. Each one of the schemes had their own timesteps, pleas see Caldwell et al. (2021) .

Comments:

Detailed description of the experiment, the model setup and observations for evaluations are given in Caldwell et al. (2021) .

Data description:

SCREAM 3km

Contact person:

Peter Caldwell (LLNL) and Christopher Terai (LLNL)