WRF is available for all users at HPC2N.
The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research needs.
WRF features multiple dynamical cores, a 3-dimensional variational (3DVAR) data assimilation system, and a software architecture allowing for computational parallelism and system extensibility. WRF is suitable for a broad spectrum of applications across scales ranging from meters to thousands of kilometers.
At HPC2N we have WRF installed as a module on Kebnekaise.
The binaries of WRF/WPS are available through the module system.
To access them you need to load the module on the command line and/or in the submit file. Use:
ml spider wrf
ml spider wps
to see which versions are available and how to install the module and its dependencies.
WRF/WPS 3.8.0 is built with Intel compilers and Intel MPI, and built with both MPI and OpenMP.
WRF 188.8.131.52 are built with GCC compilers and OpenMPI. Both serial and parallel versions exist - do ml spider wrf to check!
Example, loading WRF version 3.8.0-dmpar
ml icc/2017.1.132-GCC-6.3.0-2.27 ml ifort/2017.1.132-GCC-6.3.0-2.27 impi/2017.1.132 ml WRF/3.8.0-dmpar
The name of the wrf binary is wrf.exe and it is built with both MPI and OpenMP.
If that is not sufficient please contact firstname.lastname@example.org of what you need and we will see if we can build it.
All other binaries from WRF are available in normal serial versions.
The input tables are located under /pfs/data/wrf/geog
The Vtables are located in $EBROOTWPS/WPS/ungrib/Variable_Tables (environment variable can only be used after module WPS is loaded).
Files in $EBROOTWRF/WRFV3/run may need to be copied or linked to your case directory if the program complains about missing files.
Since wrf is built as a OpenMP/MPI combined binary special care must be taken in the submitfile.
#!/bin/bash # Request 2 nodes exclusively #SBATCH -N 2 #SBATCH --exclusive # We want to run OpenMP on one NUMA unit (the cores that share a memory channel) # On Kebnekaise it is 14. Change -c accordingly. #SBATCH -c 14 # Slurm will then figure out the correct number of MPI tasks available #SBATCH --time=6:00:00 # WRF version 3.8.0 ml icc/2017.1.132-GCC-6.3.0-2.27 ml ifort/2017.1.132-GCC-6.3.0-2.27 impi/2017.1.132 ml WRF/3.8.0-dmpar # Set OMP_NUM_THREADS to the same value as -c, i.e. 12 export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK # --cpu_bind=rank_ldom is only possible if --exclusive was used above and allocates one MPI task # with its 14 OpenMP cores per NUMA unit. srun --cpu_bind=rank_ldom wrf.exe