OU will strengthen its global leadership in weather science and hazard preparedness by advancing research across the full prediction-to-response pipeline, supporting public safety, infrastructure protection, and informed decision-making.
Weather and Earth-System Prediction: Advanced atmospheric and Earth-system modeling, data assimilation, and AI-enabled forecasting to improve accuracy and lead time
Extreme Weather Observations: Innovative sensing platforms, field campaigns, and observational technologies that improve detection, monitoring, and warning capabilities
Fire Weather: Forecasting, risk assessment, and mitigation strategies to support land management, emergency response, and community protection
Infrastructure Resilience: Assessment and management of critical infrastructure performance under severe weather and hazard conditions
Risk, Decision, and Community Resilience: Translating forecasts and hazard information into actionable guidance for emergency managers, industry, and communities
The National Weather Center provides a one-of-kind collaborative work environment for federal, state, and academic units. These entities work together to improve our understanding of Earth’s atmosphere, provide accurate and timely forecasts for severe weather, and to educate and train future meteorologists.
The University of Oklahoma will receive up to $220 million over five years from the U.S. Department of Commerce and the National Oceanic and Atmospheric Administration to continue the life-saving weather research led by the OU-NOAA Cooperative Institute for Severe and High-Impact Weather Research and Operations, extending a nearly 50-year partnership that has helped give Americans earlier, more accurate weather warnings
From strengthening severe-weather preparedness to advancing national security, MITRE and the University of Oklahoma (OU) are joining forces to tackle some of the nation’s most critical challenges.
The National Weather Service has, for the first time, purchased vertical atmospheric profiles collected by drones — data collected by the University of Oklahoma (OU) and Meteomatics. The milestone is the next step forward for the Oklahoma 3D Mesonet.
Researchers from the Hydrometeorology and Remote Sensing (HyDROS) Laboratory at the University of Oklahoma published a review synthesizing 50 years of geostationary satellite meteorology, from the launch of the first Geostationary Operational Environmental Satellite (GOES-1) in 1975 to the present-day GOES-19.
With funding from NASA, Steven Cavallo is leading a global study of how small disturbances in the polar tropopause, a region roughly 30,000 feet above Earth’s surface, eventually grow into massive winter storms impacting millions.
Scott Salesky, a researcher with the University of Oklahoma, has been awarded funding from the U.S. Department of Defense (DoD) to study how clouds above the sea surface are created and changed by factors such as airborne particles and atmospheric instability.
The 3D Mesonet project aims to make advancements in gathering spatiotemporal atmospheric data in the United States, allowing scientists to better predict short-term, high-impact weather, like thunderstorms, severe winds and winter precipitation.
Greg McFarquhar, director of the Cooperative Institute for Severe and High-Impact Weather Research (CIWRO) and Operations and a researcher at the University of Oklahoma, has been awarded funding from the U.S. Department of Defense (DoD) to compile and analyze cloud property measurements from around the world.
A $19.9 million award from the U.S. National Science Foundation will fund the development of two groundbreaking KaRVIR systems (Dual-Doppler 3D Mobile Ka-band Rapid-Scanning Volume Imaging Radars for Earth System Science), state-of-the-art radars that will provide unique capabilities to close critical observational gaps in the atmospheric science community.
Nationally, individuals facing wildfire threats have no unified system to rely on. A team of researchers, led by Joe Ripberger from the University of Oklahoma, is looking to fill that gap.
