WRF-Practice

This is a partial codebase for the WRF practice I produced during my Numerical Weather Prediction class at the University of Utah. Only the driving namelist and batch files are included due to storage restraints.

Case

Workflow

Here is a step-by-step guide for running the WRF model with my code. Start with WRF Preprocessing System (WPS), run WRF model, and post-process with wrf-python.

WPS:

1. Edit namelist.wps to preferred domain configuration
2. Link initial conditions data to WPS

./link_grib.csh /path/to/your/data/*

3. Run WPS script

• In this case, run batch script

sbatch run_wps

4. Use ncl to view domains

module load ncl
ncl util/plotgrids_new.ncl

5. Check SLURM error and output files to ensure model
6. Move to ../run directory

WRF Run:

7. Change namelist.input to reflect the following

• Domain info from namelist.wps
• Physics schemes

8. Link WPS files to WRF run

ln –s ../WPS/met_em* .

9. Run WRF real batch script

sbatch run_real

• Check SLURM output files for errors

10. Run WRF final batch script

sbatch run_wrf

• Check SLURM output file for errors

Post-Processing:

11. Use ncview to view WRF output

'module load ncview'

12. Develop wrf-python scripts for better visualizations