The Weather Research and Forecasting (WRF) Model is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometers.
For researchers, WRF can produce simulations based on actual atmospheric conditions (i.e., from observations and analyses) or idealized conditions. WRF offers operational forecasting a flexible and computationally-efficient platform, while reflecting recent advances in physics, numerics, and data assimilation contributed by developers from the expansive research community. WRF is currently in operational use at NCEP and other national meteorological centers as well as in real-time forecasting configurations at laboratories, universities, and companies.
Sample script:
#! /bin/bash -f
#SBATCH --mail-user=username@iitg.ac.in
#SBATCH --job-name="test"
#SBATCH --nodes=18
#SBATCH --ntasks-per-node=12 # Run a single task
#SBATCH --time=130:00:00
#SBATCH --mem=0
#SBATCH --error=job.%J.err
#SBATCH –output=job.%J.out
#SBATCH --partition=standard
module load compilers/intel/parallel_studio_xe_2019.3.062
mpirun -np 216 /pathto/wrf.exe
Example:
#! /bin/bash -f
#SBATCH --mail-user=xyz@iitg.ernet.in
#SBATCH --job-name="wrfchem"
#SBATCH --nodes=10
#SBATCH --ntasks-per-node=12 # Run a single task
#SBATCH --time=190:00:00
#SBATCH --mem=0
#SBATCH --error=/scratch/xyz/JOBS/job.%J.err
#SBATCH --output=/scratch/xyz/JOBS/job.%J.out
#SBATCH --partition=standard
module load compilers/intel/parallel_studio_xe_2019.3.062
mpirun -np 120 /pathto/wrf.exe