For More Information:
301 405 3596
Estimating the State of Large Spatiotemporally Chaotic Systems: Weather Prediction, etc.
Dr. Edward Ott
Professor, Electrical and Computer Engineering, Univ. of Maryland
February 1, 2008, 2:00 p.m.
Jeong H. Kim Engineering Building, Rm. 1110
Inferring the current state of an evolving system from measurements is a prerequisite for forecasting the future evolution of the system, for control of the system, or for scientific studies of the system's dynamics. A common case is where measurements are continually made and where there is some available model of the system dynamics. The classical solution to this problem is the well known Kalman filter technique. However, the classical methods are completely infeasable for large high dimensional systems because their computational requirements would be many orders of magnitude beyond what is possible. This talk will discuss a new approach to this problem . Although originally motivated by the goal of improving weather forecasts, the technique is generally applicable to large spatiotemporally chaotic systems. Illustrative examples will be presented from weather forecasting and from an application to laboratory experiments on Rayleigh-Benard convection. The current prospects for the adoption of our technique by national and international weather prediction centers will be reviewed.
 E. Ott, B.R. Hunt, I. Szunyogh, et al., Tellus A, vol.56, p.415 (2004).
Edward Ott received his Batchelor's degree from The Cooper Union and his Ph.D. from The Polytechnic Institute of Brooklyn. Following a Postdoctoral position at Cambridge University, he joined the faculty of Electrical Engineering at Cornell University remaining there for 11 years. In 1979 Prof. Ott joined the University of Maryland, where he currently holds a position as a Distinguished University Professor with a joint appointment in the Department of Electrical and Computer Engineering and the Department of Physics. Prof. Ott's principal area of current research is in basic and applied aspects of chaos and nonlinear dynamics. He is an author of over 350 journal articles, as well as the widely used textbook, 'Chaos in Dynamical Systems'. Prof. Ott is a fellow of the IEEE and of the American Physical Society. He is listed as one of the most highly cited researchers in physics by the Institute for Scientific Information.
Faculty Host: Dr. Reza Ghodssi
This Event is For: Public • Campus • Clark School