Hello. This is my first blog for climatepolicy.org. First, I want to thank the organizers and the AMS for asking me. Second, as introduction, what I will write about here follows from a class that I have been teaching the last two years at U of Michigan. This class throws all of the pieces out there, science, policy, business, ethics, public health, geo-engineering, energy, current law, beliefs, etc., and tries to look as these pieces as a system. We have projects where we try to develop solutions, or at least strategies to develop solutions. More thanks – I want to thank my excellent students, the guest lecturers in the course, and many seminar speakers who come through the university.
For my first entry I will write about the intersection between climate science and policy. If we look at the development of climate knowledge from scientific investigation, then there are two types of knowledge. The first type of knowledge is a quantitative representation of climate parameters and their correlated behavior. An example of this type of knowledge is a prediction of the temperature, and it is the prediction of rapidly warming temperature that motivates the possibility of climate policy. The other type of knowledge is an estimate of uncertainty. Good scientific method is always accompanied by an analysis of error sources and some measure of the uncertainty. Uncertainty can always be used to prevent the development of policy. Therefore, the idea of climate science as a constant march to reduce uncertainty in our statements of predicted climate change is not very well posed. There is always uncertainty, and in complex systems, we discover new sources of uncertainty. Hence, there is always a reservoir of uncertainty to keep policy from converging around the gravity of scientific evidence. (more…)