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Weather Research and Forecasting (WRF) model is a well-known atmospheric modeling system developed by NCAR. It is suitable for both meteorological research and operational weather prediction.

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Module name

Description

Note

WRF/4.4.2-DMSM-cpeCray-23.03

Standard WRF model

Aggressive optimization

WRFchem/4.5.1-DM-cpeIntel-23.09

WRF model with chemistry,
including WRF-Chem tools

Standard optimization

WPS/4.4-DM-cpeCray-23.03

WRF pre-processing system

for WRF 4.4.X

WPS/4.5-DM-cpeIntel-23.09

WRF pre-processing system

for WRF 4.5.X

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titleMore details

DM indicates that the module only supports MPI (Slurm’s task); therefore, --cpus-per-task=1 and export OMP_NUM_THREADS=1 should be used.

DMSM indicates that the module supports both MPI and OpenMP. Users can set the number of OpenMP thread per MPI process through --cpus-per-task.

For WRF on LANTA, we recommend setting --cpus-per-task equals to 2, 4 or 8. We note that the -c${SLURM_CPUS_PER_TASK} option for srun is essential.

1. Input file

1.1 To run the WRF model, time-dependent meteorological data (global model output/background state) is required. It can be downloaded from, for example, WRF - Free Data and NCEP GFS / GDAS.

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