Weather Research and Forecasting (WRF) model is a common atmospheric modeling system developed by NCAR. It is suitable for both meteorological research and operational weather prediction.
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Available version
WRF Version | Toolchain | Parallel | Module name | Optimization | |
|---|---|---|---|---|---|
4.4.2 | Cray + CrayMPICH | MPI+OpenMPWRF/4.4.2-DMSM-CrayCCE-22.06 | GNU + CrayMPICH | MPI+OpenMPAggressive | |
WRF/4.4.2-DMSM-CrayGNU-22.06 | Standard |
WPS Version | Toolchain | Parallel | Module name | Optimization | |
|---|---|---|---|---|---|
4.4 | Cray + CrayMPICH | MPIWPS/4.4-DM-CrayCCE-22.06 | GNU + CrayMPICH | MPIAggressive | |
WPS/4.4-DM-CrayGNU-22.06 | Standard |
1. Input file
1.1 To drive the WRF model, time-dependent meteorological data (global model output/background state) is required. It can be downloaded from, for example, WRF - Free Data and NCEP GFS / GDAS.
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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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