Roger Pielke Sr., in a post about the climate models’ difficulties in getting clouds right, poses this question:
How can international climate protocols, such as Kyoto, be established when the climate response to human climate forcings (and even natural forcings) is not adequately understood?
The short answer is that we make decisions all the time, large and small, in the face of uncertainty. We do it based on our understanding of the uncertainties, which we hope scientists have done a good job explaining to us. And we do it based on other values and considerations. The science can help us here, but it’s not the only input into the process.
For the slightly longer answer, I’ll borrow a bit from Sarewitz et al. (one of the “al.” being Roger Pielke Jr.) from their introduction to Prediction: Decision-Making and the Future of Nature:
The theoretical and technical difficulties of predicting complex natural systems are immense, and the magnitudes of the uncertainties associated with such predictions may be not only larege, but also themselves highly uncertain…. The idea that predictive science can simplify the decision-making process by creating a clearer picture of the future is deeply appealing in principle, but deeply problematic in practice.
The expectation that we need merely banish scientific uncertainty is an appealing one, but experience suggests it is wrong. In decision-making outside the scientific arena, we make decisions of vast import with far less of a clear picture of the expected outcomes that Roger seems to be demanding – going to war, for example, or implementing vast federal tax and spending policies. But even the picture of certainty Roger seems to want from science-driven decision-making is an illusion, as Daniel Sarewitz has persuasively argued:
(S)cientific uncertainty, which so often occupies a central place in environmental controversies, can be understood not as a lack of scientific understanding but as the lack of coherence among competing scientific understandings, amplified by the various political, cultural, and institutional contexts within which science is carried out.
In the climate case, Sarewitz’s argument is on point: writing two years ago, he noted the ongoing argument over what at the time looked like discrepancies between surface and satellite-derived temperature trends. Opponents of action to reduce greenhouse gases frequently cited the uncertainties caused by the discrepancies to support their position. Sarewitz presciently wrote: “resolving the discrepancy to everyone’s satisfaction would not really solve anything.”
Well, the discrepancy’s now been largely resolved, but, to no one’s surprise, the argument over greenhouse gas reductions has not been settled as a result. It obviously takes more than merely sorting out the science.
As Steve Rayner points out in an essay in the aforementioned volume, climate models are but one of many factors driving decision-making:
While scientists may reasonably strive for a break-through improvement in the quality of their long-term modeling of the climate system, the broader field of societal risk management or practical politics suggests that policy will likely be driven by negotiation among competing values rather than probabilistic forecasting.
John-I agree with you (and Dan Sarewitz and R.Pielke Jr.) that decisions can (and must) be made even with uncertainty. However, protocols such as Kyoto are premised based on a misleading presentation of the science.
As a comment on the reconciling of the surface and tropospheric temperature trends, we also agree that whether or not they conform is not going to substantively change the policy debate.
However, with respect to the science issue of temperature trends, you are not accurate when you conclude “Well, the discrepancy’s now been largely resolved..”. As I have written on my weblog (see http://climatesci.atmos.colostate.edu/2006/01/23/why-there-is-a-warm-bias-in-the-existing-analyses-of-the-global-average-surface-temperature/ and http://climatesci.atmos.colostate.edu/2006/01/19/where-is-the-newly-recognized-uncertainty-in-the-global-surface-temperature-record-assessed-in-the-giss-surface-temperature-record/), there are remaining issues with the skillful diagnosis of surface temperature trend data.
Thanks for the comment. When I talked about “resolving the discrepancy,” I was referring to the narrow issue of the apparent disconnect between the MSU data and surface temperatures and model results. I think the papers in Science back in August have largely removed the apparent discrepancy. I didn’t mean to imply that the uncertainties over surface temperatures, which you have so ably documented, have been removed – merely that this particular piece of scientized argument has evaporated with no apparent settling of the underlying conflict.
Its odd that RP doesn’t mention Timo’s provenance, no?
I dunno either. Who is Timo?
This is Timo.
He runs the Climate Sceptics Yahoo group:
There are a handful on “denialists” on it. But, that’s to be expected with 300 members.
Actually, it’s not odd at all though. There’s plenty of meat elsewhere – as opposed to what’s on the bandwagon…