The Consortium for Advanced Data Assimilation Research and Education (CADRE), funded by NOAA, is revolutionizing weather forecasting through cutting-edge data assimilation research and workforce development. By integrating observations with numerical models, CADRE provides an evolving picture of the Earth system, crucial for accurate weather and climate predictions. This $6.6 million initiative, led by the University of Oklahoma and involving six universities, aims to enhance NOAA's numerical weather prediction systems, improving the accuracy of extreme weather forecasts and climate response strategies. CADRE's innovative approach leverages artificial intelligence, new observation platforms, and advanced mathematics to push the boundaries of data assimilation science.
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.
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