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. It 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 and across scales ranging from meters to thousands of kilometres.
If you have any corrections, comments or contributions, please feel free to email us on email@example.com so that we can continue to update and upgrade the guides over time.
The installation (obtaining and compiling the source code) is NCI specific. The NCAR guides which we link to give instructions for compilation. DO NOT USE THOSE INSTRUCTIONS. They will not work. First, install WRF using this wiki's instructions and only follow the NCAR guides for running your simulation.
Warning for Gadi: Modern versions of JasPER are incompatible with WRF at this moment. This means it is impossible to create WRF output in GRIB2 format which shouldn't be an issue as users output netCDF. It seems WPS v4 and newer can still use inputs in GRIB2 with modern versions of JasPER. I will try to introduce the fix to older versions of WPS so you can still use older versions of WRF/WPS with GRIB2 inputs.
Installation Guides for Raijin
Note: These guides are for Raijin only currently.
- Raijin: WRF v4.1.1 installation
- Raijin: WRF v4.0.2 installation
- WRF v188.8.131.52 installation
- WRF v3.9 installation * New installation instructions *
- WRF v3.8.1 installation * New installation instructions *
- WRF v3.7.1 installation * New installation instructions *
- WRF V3.6 installation
- WRF V3.5.1 Chem installation
- WRF V3.5.1 installation
- WRF V3.5 installation
- WRF V3.4.1 installation
- WRF V3.4 installation
- WRF V3.3.1 installation
- V3.3 installation
Running WRF at NCI
UPP hasn't been ported to Gadi yet.
Process for WRF porting to NCI machine