Climate Feedback

Are better predictions needed for adaptation?

Last year, I reported on efforts to merge climate modelling with weather forecasting to create probabilistic climate predictions, with the ultimate aim of providing information that could aid adaptation.

Given enough money to build a world climate research facility with hundreds of petaflops of computing power, scientists could study simulations at the kilometre scale, and answer some of the big questions in climate science, such as how and when regions will be affected, concluded the World Modelling Summit for Climate Prediction last May.

Now, a group of scientists led by Suraje Dessai of the University of Exeter and the Tyndall Centre, UK argue that better climate predictions will not necessarily aid adaptation, and that waiting for better predictability in order to act on climate change would be a ‘significantly flawed’ approach.

Writing in the latest issue of EOS, a newsletter of the American Geophysical Union, Dessai and co-authors say that, in any case, the ability to predict future climate is limited by inherent uncertainty that will always leave ‘some level of irreducible ignorance in our understanding’. Furthermore, our ability to predict other factors that are likely to influence the outcome of adaptation efforts, such as population growth or changes in technology, is even more limited than our ability to predict the climate.

But this lack of predictability should not be seen as an excuse to postpone strategies for adaptation, they argue. After all, many organizations such as water authorities only need to know the range of possible representations of future climate to better understand their vulnerabilities. The authors call on decision makers to examine their adaptation strategies over a wide range of potential future scenarios of climate and other economic, political and cultural factors. Society will benefit more, they say, from knowing the vulnerability of climate-influenced decisions in the face of large uncertainty than from any foreseeable increase in the accuracy and precision of climate predictions.

Olive Heffernan

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