Earth’s atmosphere [image credit – learnweather.com]
Our headline differs slightly from the article below, which glosses over the actual research findings to some extent. Speculation about possible future unwanted climate scenarios is a favourite hobby of climate alarmists, but this one at least has been largely discarded. As a co-author put it “we were able to show that many climate model projections of very large stratospheric water vapour changes are now inconsistent with observational evidence.”
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New research led by the University of East Anglia (UEA) reduces uncertainty in future climate change linked to the stratosphere, with important implications for life on Earth, says Science Daily.
Man-made climate change is one of the greatest challenges facing us today [Talkshop comment – unsupported assertion], but uncertainty in the exact magnitude of global change hampers effective policy responses.
A significant source of uncertainty relates to future changes to water vapour in the stratosphere, an extremely dry region of the atmosphere 15-50 km above the Earth’s surface.
Future increases in water vapour here risk amplifying climate change and slowing down the recovery of the ozone layer, which protects life on Earth from harmful solar ultraviolet radiation.
Now an international team led by Peer Nowack, until recently a member of the Climatic Research Unit at UEA, has developed a new statistical learning approach that combines information from satellite observations with state-of-the-art climate model data to narrow the range of likely future stratospheric water vapour amounts.
One of the key results, published today in the journal Nature Geoscience, effectively rules out the most extreme scenarios, which imply that water vapour concentrations could increase by more than 25% per degree of global warming.
The new approach represents a 50% reduction in the 95th percentile of climate model responses.
“Man-made climate change affects Earth’s atmosphere in many important and often surprising ways,” said Prof Nowack, now at the Institute of Theoretical Informatics at the Karlsruhe Institute of Technology, Germany.
“In our paper, we look at changes in stratospheric water vapour under global warming, an effect that is still poorly understood. Since water vapour is central to the physics and chemistry of the stratosphere, I felt that we crucially need a new approach to address this longstanding uncertainty factor.
“With our new data-driven approach, which exploits machine learning ideas, we were able to make highly effective use of Earth observations to reduce this uncertainty. This required us to develop a framework in which we could combine scientific understanding and mathematical relationships learned from satellite data in innovative ways.”
“With this approach, we were able to show that many climate model projections of very large stratospheric water vapour changes are now inconsistent with observational evidence,” said co-author Dr Sean Davis, a Research Scientist at the National Oceanic and Atmospheric Administration in the US, specializing in satellite measurements of stratospheric water vapour.
Full article here.
via Tallbloke’s Talkshop
June 29, 2023 at 08:19AM
Iowa Climate Science Education 