We review the basic ideas of chaos, and show how it is possible to "beat chaos" and find the physical origin of the atmosphere and ocean instabilities with a simple application of the breeding method
Dr. Eugenia Kalnay is a Distinguished University Professor in the Department of Atmospheric and Oceanic Science at the University of Maryland. Current research interests of Dr. Kalnay are in predictability and ensemble forecasting, numerical weather prediction, data assimilation, coupled ocean-atmosphere modeling and climate change.
Before joining the University of Maryland as a faculty, Dr. Kalnay was the Director of the Environmental Modeling Center of the National Centers for Environmental Prediction, National Weather Service. Dr. Kalnay received her Ph. D. from MIT in 1971 under Jule G. Charney and the License in Meteorology for the University of Buenos Aires in 1965.
She received several major awards including the WMO/IMO Prize for 2009, the AMS Jule G. Charney Award, the NASA medal for Exceptional Scientific Achievement, Dept of Commerce gold medals, the Senior Executive Service Presidential Rank Award, the Kirwan Award, and the first Eugenia Brin Endowed Professorship in Data Assimilation. She is a member of the National Academy of Engineering and a foreign member of the Academia Europaea and author of the book "Atmospheric Modeling, Data Assimilation and Predictability".