Climate Change Odds Much Worse Than Thought
Sunday, May 24th, 2009

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The most comprehensive modeling yet carried out on the likelihood of how much hotter the Earth’s climate will get in this century shows that without rapid and massive action, the problem will be about twice as severe as previously estimated six years ago – and could be even worse than that.
The study uses the MIT Integrated Global Systems Model, a detailed computer simulation of global economic activity and climate processes that has been developed and refined by the Joint Program on the Science and Policy of Global Change since the early 1990s. The new research involved 400 runs of the model with each run using slight variations in input parameters, selected so that each run has about an equal probability of being correct based on present observations and knowledge. Other research groups have estimated the probabilities of various outcomes, based on variations in the physical response of the climate system itself. But the MIT model is the only one that interactively includes detailed treatment of possible changes in human activities as well – such as the degree of economic growth, with its associated energy use, in different countries.
Study co-author Ronald Prinn, the co-director of the Joint Program and director of MIT’s Center for Global Change Science, says that, regarding global warming, it is important “to base our opinions and policies on the peer-reviewed science,” he says. And in the peer-reviewed literature, the MIT model, unlike any other, looks in great detail at the effects of economic activity coupled with the effects of atmospheric, oceanic and biological systems. “In that sense, our work is unique,” he says.
The new projections, published this month in the American Meteorological Society’s Journal of Climate, indicate a median probability of surface warming of 5.2 degrees Celsius by 2100, with a 90% probability range of 3.5 to 7.4 degrees. This can be compared to a median projected increase in the 2003 study of just 2.4 degrees. The difference is caused by several factors rather than any single big change. Among these are improved economic modeling and newer economic data showing less chance of low emissions than had been projected in the earlier scenarios. Other changes include accounting for the past masking of underlying warming by the cooling induced by 20th century volcanoes, and for emissions of soot, which can add to the warming effect. In addition, measurements of deep ocean temperature rises, which enable estimates of how fast heat and carbon dioxide are removed from the atmosphere and transferred to the ocean depths, imply lower transfer rates than previously estimated.
Prinn says these and a variety of other changes based on new measurements and new analyses changed the odds on what could be expected in this century in the “no policy” scenarios – that is, where there are no policies in place that specifically induce reductions in greenhouse gas emissions. Overall, the changes “unfortunately largely summed up all in the same direction,” he says. “Overall, they stacked up so they caused more projected global warming.”
While the outcomes in the “no policy” projections now look much worse than before, there is less change from previous work in the projected outcomes if strong policies are put in place now to drastically curb greenhouse gas emissions. Without action, “there is significantly more risk than we previously estimated,” Prinn says. “This increases the urgency for significant policy action.”
To illustrate the range of probabilities revealed by the 400 simulations, Prinn and the team produced a “roulette wheel” that reflects the latest relative odds of various levels of temperature rise. The wheel provides a very graphic representation of just how serious the potential climate impacts are.
“There’s no way the world can or should take these risks,” Prinn says. And the odds indicated by this modeling may actually understate the problem, because the model does not fully incorporate other positive feedbacks that can occur, for example, if increased temperatures caused a large-scale melting of permafrost in arctic regions and subsequent release of large quantities of methane, a very potent greenhouse gas. Including that feedback “is just going to make it worse,” Prinn says.
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Ron Cram says:
May 24th, 2009
9:54 pm
This type of writing is most misleading. Computer models tells us how a certain hypothesis may play out if understanding is correct. Computer models are not scientific evidence and have no predictive power.
I recommend readers read the book by Duke professor Orrin Pilkey and his daughter titled “Useless Arithmetic.” It explains how computer models of coastlines are never correct. While he respects the work of the IPCC, he thinks the uncertainties of climate model predictions are not well explained to the public.
We should not be building policy on the basis of predictions which cannot be validated decades into the future. The shorter term predictions have been wrong about 50% of the time. You might as well flip a coin.
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