ABSTRACT

This presentation describes a major paradigm shift now underway in the field of meteorology¡ªaway from today's environment in which remote sensing systems, atmospheric prediction models, and hazardous weather detection systems operate in fixed configurations, and on fixed schedules largely independent of weather¡ªto one in which they can change their configuration dynamically in response to the evolving weather. This transformation involves the creation of adaptive radars, Grid-enabled analysis and forecast systems, and associated cyberinfrastructure that operate automatically on demand. In addition to describing the research and technology development being performed to establish this capability within a service oriented architecture, the associated economic and societal implications of dynamically adaptive weather sensing, analysis and prediction systems will be discussed. Biography: Kelvin K. Droegemeier, Professor of Meteorology (University of Oklahoma), Director Emeritus (Center for Analysis and Prediction of Storms (CAPS)), and Associate VP for Research (University of Oklahoma). Kelvin Droegemeier received his Bachelor's degree with Special Distinction in Meteorology in 1980 from the University of Oklahoma, and M.S. and Ph.D. degrees in atmospheric science in 1982 and 1985, respectively, from the University of Illinois at Urbana-Champaign under the direction of R. Wilhelmson. He joined the University of Oklahoma in September, 1985 as an Assistant Professor of Meteorology, and was tenured and promoted to Associate Professor in July, 1991, and promoted to Professor in July, 1998. Dr. Droegemeier was co-founder in 1989 of the NSF Science and Technology Center (STC) for Analysis and Prediction of Storms (CAPS), and served for five years as its deputy director. He then directed CAPS from 1994 until 2006, and today is Director Emeritus of CAPS. Other Recent and Upcoming Colloquia