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Quantifying uncertainty in climate change science: Empirical<br/><br/>information<br/><br/>theory, fluctuation dissipation theorems, and physics based<br/><br/>statistics

Tuesday, October 19, 2010 - 8:30am - 9:30am
Keller 3-180
Andrew Majda (New York University)
This lecture is based on the following papers: 1. A. Majda and B.
Gershgorin, 2010: Quantifying Uncertainty in Climate Change Science
Through Empirical Information Theory, PNAS in press 2. A. Majda, R.
Abramov, B. Gershgorin, High Skill in Low Frequency Climate Response
through Fluctuation Dissipation Theorems Despite Structural
Instability, PNAS, January 2010, Vol. 107, no. 2, pp 581 - 586. 3. B.
Gershgorin, A. Majda, Filtering A Nonlinear Slow-Fast System with
Strong Fast Forcing, Comm. Math. Sci., March 2010, Vol. 8, Issue 1, pp.
67-92 4. A. Majda, B. Gershgorin, Y. Yuan, Low Frequency Response and
Fluctuation-Dissipation Theorems: Theory and Practice, JAS, available
electronically, April 2010, Vol. 67, pp. 1186-1201. All papers except
the first one can be found on Majda's faculty website.
MSC Code: 
35Q93
Keywords: