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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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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 x (Number of nodes) = (Number of MPI processes per node) x (Number of OpenMP threads per MPI processes).

Code Block
languagebash
#!/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 02:00:00            # 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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Note

Some options do not support hybrid run (such as running WRF-Chem). If this is the case, do the following:

  • use #SBATCH --cpus-per-task=1 and export OMP_NUM_THREADS=1,

  • increase the total number of tasks, for example, #SBATCH --ntasks-per-node=64128

  • specify the number of tasks for each executable explicitly; for instance, use
    srun -n16 ./real.exe
    srun -n64 n128 -c1 ./wrf.exe

3. Job submission

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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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