“Selected Statistical Topics in Climatology"
November 10, 2009
A Presentation by Dorin Drignei
The study of climate has become increasingly important because of its effects on the Earth’s environmental and ecological systems. Most often, climate is defined in terms of weather variables, such as temperature, precipitation and wind, averaged over a time span (e.g. 30 years), and defined on the whole Earth or a region. This talk presents some recent statistical topics involving climate observations and climate models. The climate observations discussed here are the upper-atmosphere, Earth-surface and deep-ocean temperatures. The climate model is called MIT 2D and has been developed by the MIT Joint Program on the Science and Policy of Global Change.
Dorin Drignei has been an assistant professor of statistics at Oakland University since Fall 2006. He has research interests in statistical methodology and applications of computer models. Prior to his current appointment he was a visiting scientist at the National Center for Atmospheric Research.
Ellen Barnes giving Dorin Drignei a Certificate of Appreciation from the Detroit Chapter