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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Below is an example of a WRF submission script. It can be created using vi submitWRF.sh. To ensure whole node allocation, please verify that 128 = (Number of MPI processes per node) x (Number of OpenMP threads per MPI processes) – this is strongly recommended.
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#!/bin/bash
#SBATCH -p compute # Partition
#SBATCH -N 1 # Number of nodes
#SBATCH --ntasks-per-node=32 # Number of MPI processes per node
#SBATCH --cpus-per-task=4 # Number of OpenMP threads per MPI process
#SBATCH -t 5-00:00:00 # Job runtime limit
#SBATCH -J WRF # Job name
#SBATCH -A ltxxxxxx # Account *** {USER EDIT} ***
module purge
module load WPS/4.4-DM-cpeCray-23.03
module load WRF/4.4.2-DMSM-cpeCray-23.03
export OMP_STACKSIZE="32M"
export OMP_NUM_THREADS=${SLURM_CPUS_PER_TASK}
ulimit -s unlimited
# *** {USER EDIT} *** #
# Please check that namelist.wps and namelist.input are in this same directory
link_grib /--Path-to-your-meteorological-data--/
link_vtable /--Name-of-Vtable-to-parse-the-above-met-data--/
# -- WPS -- #
link_wps
srun -n${SLURM_NTASKS} ./geogrid.exe
srun -N1 -n1 ./ungrib.exe
srun -n${SLURM_NTASKS} ./metgrid.exe
unlink_wps
# -- WRF -- #
link_emreal
srun -n${SLURM_NTASKS} ./real.exe
srun -n${SLURM_NTASKS} -c${SLURM_CPUS_PER_TASK} ./wrf.exe
unlink_emreal |
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Other main packages installed in netcdf-py39 are NCO, CDO, netcdf4-python, wrf-python, pyngl, pynio and cartopy.
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