New Research Examines Role of Clouds in Climate Change

Image: Arun Kulshreshtha/Wikimedia Commons

New findings published Tuesday appear to undermine a controversial study - oft-cited by those who downplay the human impacts of climate change - that claimed variations in cloud cover are driving temperature changes across the globe.

The analysis confirms - as most atmospheric scientists have long held - that the reverse is true: Clouds change in response to temperature changes. There is no evidence clouds can cause meaningful climate change, concluded the report's author, Andrew Dessler, an atmospheric scientist at Texas A&M University. "Suggestions that significant revisions to mainstream climate science are required are therefore not supported," he wrote.

Dessler's findings are the third blow in less than a week to the research of University of Alabama, Huntsville, climatologist Roy Spencer.

On Friday, the editor at the journal that published Spencer's paper resigned, stating that the paper "should ... not have been published."

And on Thursday, a separate study led by Lawrence Livermore National Laboratory researcher Benjamin Santer purported to disprove earlier Spencer claims that climate models overstate observed warming and thus are unreliable predictors of the future.

Myriad atmospheric events combine to drive weather and climate. That complexity has long stymied researchers trying to predict the impact that changes to the atmospheric system - notably the addition of billions of tons of greenhouse gases from industrial activity - will have on the Earth's climate.

Spencer, a scientist whose views and findings often put him outside the consensus on climate change, co-authored a report in July that concluded the influence of those many variables are too strong to reliably attribute any climate change to humans.

That paper, published in the two-year-old - and relatively obscure - journal Remote Sensing, explored the interaction between changes in ocean heat, cloud cover and surface temperatures. It found that computer models could not adequately explain changes in temperature observed over the past 10 years but - if certain key assumptions are made and a simple climate model is used - random changes in cloud cover could drive temperature changes enough to account for the observations.

The results, widely cited by those who claim the science on the human influence on climate change remains unsettled, cut against the basic tenets of atmospheric science, Dessler said in an interview.

But Spencer's key assumptions were wrong, Dessler added. And while Spencer and his co-author, University of Alabama scientist Danny Braswell, claimed to have examined 14 climate models, they presented just the results of the six models showing the biggest mismatch with reality.

"You would think, if you have a scientific history of being wrong on so many issues, you would have a little bit of humility before claiming you've overturned scientific evidence yet again," Dessler said.

The oceans are a primary driver of weather worldwide, responsible for periodic weather patterns such as El Ni?o and La Ni?a, known collectively as "ENSO," that bring extreme weather to many parts of the globe.

Dessler's research, published in the journal Geophysical Research Letters, looked at 10 years' worth of data from the sky and the sea. That data, he said, show the ocean's influence on the Earth's climate to be 20 times larger than any influence due to cloud cover changes. Spencer and Braswell assumed the ratio was closer to 0.5, Dessler said.

The bottom line, Dessler added, is that energy trapped by clouds can only explain a small part of the temperature changes seen from 2000 to 2010.

"It's like someone saying Newton is wrong," Dessler said. "ENSO is not caused by clouds."

Spencer, in an interview Tuesday, said he had not had a chance to closely review Dessler's work. "It looks like he's done something that isn't obviously wrong," he said of the research. "He gets a very different answer from us. We need to look into why that is."

Source: http://rss.sciam.com/click.phdo?i=4ae79982b57bb451c705adebfda1d3fe

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