Statistics for detecting climate changeSerge Guillas
Georgia Institute of Technology
In this talk, we give an overview of various approaches for the detection and attribution of anthropogenic influence on climate. We introduce patterns, fingerprints and optimal fingerprinting, and the corresponding generalized least squares translation. We formulate the detection and attribution problem as a regression equation, and discuss Bayesian methods. We examine the uncertainties in the observations and general circulation models. Finally, we present a few promising research avenues.
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