Likelihood-based climate model evaluation
Neyman Seminar
Mar 2, 2011, 04:00 PM - 05:00 PM | 1011 Evans Hall | Happening As Scheduled
Amy Braverman, Jet Propulsion Laboratory, California Institute of Technology
Like other scientific and engineering problems that involve physical
modeling of complex systems, climate models can be evaluated and
diagnosed by comparing their output to observations. Though the
global remote sensing data record is relatively short by
climate-research standards, these data offer opportunities
to evaluate model predictions in new ways. For example, remote
sensing data are...