"If we're just mesmerized by the details of the model," Marston said, "we could be missing the big picture of why it's happening."

Marston's statistical approach can be used to help crack the code of complicated, dynamic atmospheric processes poorly understood through models, such as convection, cloud formation, and macroturbulence, which refers to the currents, swirls and eddies in the global atmosphere. More fundamentally, Marston said this approach can help to deepen understanding of what is happening in today's climate and what those changes can mean for climate in the future.

"We're trying to make the models more robust, to give better insights into what is actually going on," he said.

Marston's research, on which he teamed with former Brown undergraduate Emily Conover and Tapio Schneider of the California Institute of Technology, was selected last fall for publication in the Journal of the Atmospheric Sciences. Marston's ultimate research goal is to create a more realistic rendering of the global atmospheric system that can be used to understand the atmosphere of the past and to gauge future changes.

"We're improving the statistical methods themselves, so that they're more accurate," Marston said. "At the same time we are applying the methods to progressively more complete models of the Earth's atmosphere."

Marston will explain his research as part of a panel discussion titled "The Physics of Climate and Climate Change," scheduled on March 11, 2008, at the American Physical Society's meeting in New Orleans.  Source

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