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.
As part of an effort to address a critical shortage of scientists trained in data assimilation, more than 139 national and international scientists, graduate students and federal and private sector researchers gathered at OU's National Weather Center from June 1 – 5 for the CADRE-EPIC Data Assimilation Training and Science Workshop, a five-day event that brought together some of the field's leading researchers with students and early-career scientists working to enter it.
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.
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