Numerical Methods & Scientific Computing
We develop and use numerical techniques for weather and climate models, remote sensing and statistical applications, and for modeling the Sun, heliosphere, and planetary space environments including that of the Earth. We address high-performance and parallel computing aspects as well as software and data management issues. Learn More
Statistical methods and data assimilation
We develop and use new data assimilation techniques, proven statistical methods, and novel machine learning and artificial intelligence -based tools to uncover the physical and chemical processes governing the atmosphere, climate, and the space environment in the solar system. We also evaluate models and produce optimally merged model and observation datasets. Learn more
Center for Radiative Shock Hydrodynamics
The Center for Radiative Shock Hydrodynamics (CRASH) advances predictive science in the area of radiation hydrodynamics to study radiative shocks and high-energy-density and astrophysical flows. Validation and verification of experiments is carried out through simulations using a software framework. Learn More
SWMF Downloadable Software
The SWMF is a software framework that provides a common operating environment for the various modeling components included. Each of the components models particular aspects of space weather (sun, heliosphere, magnetosphere, etc) and the various commands allow you to control how those models run and interact with each other. The SWMF also can also be used for many other applications not related to space weather, including but not restricted to high energy density physics, exoplanets, general plasma physics. Learn More
