Collectively, the current IPCC computer modelled scenarios for the iconic doubling of atmospheric CO2 range from 1.1C to 6.4C, with a ‘most likely’ range of 2C to 4.5C. Higher estimates have a much lower probability of being accurate.
In this week’s Science magazine there are two related papers that discuss climate sensitivity:
Why Is Climate Sensitivity So Unpredictable?
Gerard H. Roe* and Marcia B. Baker
Uncertainties in projections of future climate change have not lessened substantially in past decades. Both models and observations yield broad probability distributions for long-term increases in global mean temperature expected from the doubling of atmospheric carbon dioxide, with small but finite probabilities of very large increases. We show that the shape of these probability distributions is an inevitable and general consequence of the nature of the climate system, and we derive a simple analytic form for the shape that fits recent published distributions very well. We show that the breadth of the distribution and, in particular, the probability of large temperature increases are relatively insensitive to decreases in uncertainties associated with the underlying climate processes.
Myles R. Allen and David J. Frame
Over the past 30 years, the climate research community has made valiant efforts to answer the “climate sensitivity” question: What is the long-term equilibrium warming response to a doubling of atmospheric carbon dioxide? Earlier this year, the Intergovernmental Panel on Climate Change (1) concluded that this sensitivity is likely to be in the range of 2° to 4.5°C, with a 1-in-3 chance that it is outside that range. The lower bound of 2°C is slightly higher than the 1.6°C proposed in the 1970s (2); progress on the upper bound has been minimal.
In a nut shell, the limits have been reached for model estimations of the upper bound and therefore even more complex models will be unable to resolve the greater uncertainty of higher bound estimates, so it’s time to “call off the search.”
New Scientist’s take is:
Climate is too complex for accurate predictions
Excerpt: “This finding reinforces not only that climate policies will necessarily be made in the face of deep, irreducible uncertainties,” says Roger Pielke, a climate policy expert at the University of Colorado at Boulder, US. “But also the uncomfortable reality – for climate modellers – that finite research dollars invested in ever more sophisticated climate models offer very little marginal benefit to decision makers.”
Personally, I disagree with the statement made in Science magazine that “This persistent, high-temperature tail of low probability has been one impediment to political action, as policy-makers have been reluctant to formulate policies to address climate change when the range of uncertainty is so large.” If this is true, then I haven’t noticed.


Jennifer Marohasy BSc PhD has worked in industry and government. She is currently researching a novel technique for long-range weather forecasting funded by the B. Macfie Family Foundation.