TRAIN aims to transform complex geophysical and atmospheric data from ground-based and remote sensing measurements into actionable risk intelligence through advanced computational and data sciences approaches and high-performance computing and simulations. We will thus bridge the gap between raw information and community resilience

There is a crucial need to better simulate and forecast natural hazards to thrive on a living planet – natural hazards are not going away any time soon and affect drastically populations, infrastructures, economies, and our environment.

TRAIN aims to build the community at Penn State to become a nationally recognized Center for natural hazards where research innovation can happen to respond proactively to funding opportunities and coordinate natural hazard responses.