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Here's the title and link: "An objective Bayesian, improved approach for applying optimal fingerprint techniques to estimate climate sensitivity".
At the time, all of the different approaches to estimate climate sensitivity (using historical data, climate models, and recent instrumental data) were in good agreement.
It's also worth noting that there are considerable uncertainties associated with the method used to estimate climate sensitivity in this new study.
So we have two methods to estimate climate sensitivity – using data from past climate changes and using complex climate models – which consistently give us approximately the same answer.
Ridley calls this the most robust method to estimate climate sensitivity, but that is a dubious and unsupported assertion at best.
By one estimate, climate change will cause a 30-40% drop in India's agricultural output by 2080.Rather belatedly, SAARC has noticed the problem.
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The World Health Organisation estimates climate change will cause around 250,000 deaths globally between 2030 and 2050.
There are three main categories of studies estimating climate sensitivity, which are based on: 1) very detailed climate models.
A recent report by the Organisation for Economic Cooperation and Development estimated climate finance flows to developing countries reached $62 billion in 2014.
As The Economist article noted, there have been a few recent studies estimating climate sensitivity toward the low end of that range, mainly using the second approach listed above, applying recent measurements to simple climate models.
Meanwhile, a major recent study published in the journal Nature examined nearly two dozen studies estimating climate sensitivity based on past climate changes over the past 65 million years.
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CEO of Professional Science Editing for Scientists @ prosciediting.com