Dissertation: The Role of Model Intercomparisons in Climate Science
Research Assistant: NSF project on Big Data in Climate science
The Robustness of "Robustness"
An in progress collaborative work (w/ Ben Kravitz) about different methods for measuring agreement between climate model projections. The key questions are:
(1) To what extent is an assessment of model agreement dependent on the agreement metric?
(2) Is there a "best" metric and, if so, what is it and why is it the best?
Based on the disproportionate amount of attention paid by climate scientists to the supposed global warming hiatus, it has recently been argued that contrarian discourse has “seeped into” climate science. While I agree that seepage has occurred, its effects remain unclear. This lack of clarity may give the impression that climate science has been compromised in a way that it hasn't—such a conclusion should be defended against. To do this I argue that the effects of seepage should be analyzed in terms of objectivity. I use seven meanings of objectivity to analyze contrarian discourse's impact on climate science. The resulting account supports the important point that climate science has not been compromised in a way that invalidates the conclusions its scientists have drawn, despite the reality of seepage having occurred.
Paper is available here.