Blog Post

Learning About Climate Sensitivity from Disparate Information Sources

Mar 31, 2016 | Roger M. Cooke

In this tutorial, I use Uninet, a Bayesian belief net program, to illustrate learning about climate sensitivity from disparate information sources.

I focus on three key concepts:

  • Negative learning—how more information can make us less certain
  • Deconfliction—how we can deal with conflicting observational signals
  • Obsolescence—how seemingly obsolete systems can increase our understanding

The tutorial uses real values from joint research with NASA Langley Research Center.

The views expressed in RFF blog posts are those of the authors and should not be attributed to Resources for the Future.