The Weather Research and Forecasting (WRF) Model is a state-of-the-art numerical weather prediction system developed to meet both atmospheric research and operational forecasting demands. It offers a flexible, scalable platform capable of simulating a broad spectrum of meteorological phenomena — from large-scale global patterns to localized events like thunderstorms and hurricanes.
WRF supports high-resolution simulations and effectively captures the complex interactions between the atmosphere and other Earth system components, including land surfaces and oceans.
Inductiva stays up to date with the latest versions of WRF. Below is a list of the supported versions, along with their respective release dates:
To use a specific WRF version, simply specify it when initializing the simulator:
wrf = inductiva.simulators.WRF( \
version="4.6.1")
If you need to use a version not listed here, please feel free to Contact Us. We’ll be happy to accommodate your request!
Each version of WRF in the Inductiva API has its own publicly available container image, so you can also use it to run simulations. These images are hosted in our Docker Hub repository, Kutu, and you can find the Dockerfile details for each version here.
The Inductiva Guide to WRF ☔️
Learn to run and scale WRF simulations on the Inductiva.AI Cloud HPC platform. Explore tutorials and benchmarks for weather modeling.
Test Your Inductiva Setup
Test your Inductiva.AI setup by running a quick WRF simulation in the cloud before scaling up to advanced weather and climate simulations.