COLLOQUIUM
DEPARTMENT OF MATHEMATICS AND STATISTICS
OAKLAND UNIVERSITY
ROCHESTER, MICHIGAN 48309
Dorin Drignei
Oakland University
Statistical Analysis of Climate Models
Abstract
The study of climate has become increasingly important due to its effects on the Earth’s environmental and ecological systems. In order to investigate and predict the complex climate system scientists rely on climate models. The most realistic 3-dimensional climate models, however, are very computationally intensive. This talk presents a statistical kriging method that facilitates more computationally efficient scientific investigations based on climate models. Related topics such as climate model calibration and statistical sensitivity analysis will also be discussed. The methods will be illustrated with a climate model developed by the MIT Joint Program on the Science and Policy of Global Change.
Tuesday, November 8, 2011
3:00– 4:00 P.M.
372 Science and Engineering Building
(Refreshments at 2:30-3:00 PM in the kitchen area adjacent to 368 SEB)