Simulating the global ecosystem is complex, potentially involving infinite variables that describe and relate nature's chemical, physical, and biological processes. The resulting range of possible climate scenarios has led to public confusion about the validity of climate prediction--and, more urgently, to delays in appropriate action. To better understand how climate scientists make their global weather forecasts (and why their predictions don't always agree), James Murphy, head of climate prediction at Britain's Met Office, Gavin Schmidt, a climate modeler at NASA's Goddard Institute for Space Studies, Leonard Smith, a physicist and mathematician at the London School of Economics, and Claudia Tebaldi, a statistician at Rand Corporation, explain the theory and practice of climate modeling and discuss how climate predictions should be interpreted and used.
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Originally Posted by DSM4Life
