Speaker: |
Sid Redner |
Title: |
On the Role of Global Warming on the Statistics of Record-Breaking Temperatures |
Abstract: |
We theoretically study long-term statistics of record-breaking daily temperatures and validate these predictions by simulations, and by comparing with long-term daily temperature data from various locations around the world. Using extreme statistics, we derive the number and the magnitude of record temperature events, based on a Gaussian daily temperature distribution; such a distribution seems to account for much of the data. We then consider the effect of global warming on record temperature events.
With the current global warming rate we are able to detect a measurable influence the frequency of these events over the time range of the available observations. Additional anomalous features of record temperature events will also be presented.
Download talk (pdf)
|
|
Organizing Committee
Anna Amirdjanova,
Department of Statistics,
University of Michigan Charlie Doering,
Departments of Mathematics and
Physics & MCTP
University of Michigan
Len Sander,
Department of Physics
& MCTP
University of Michigan
|