Research > Theory & Computational Methods
Theory & Computational Methods
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 MoreStatistical 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 moreCenter for Space Environment Modeling
The Center for Space Environment Modeling (CSEM) develops high-performance, first-principles based computational models to describe and predict the space weather conditions from the Sun to the ionosphere, atmosphere and surface. The multitude of codes used are coupled together under the umbrella of the Space Weather Modeling Framework.
Learn MoreCenter 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.
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