Likelihood-based climate model evaluation

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...