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TEHRAN, Mar 19-"Emergent constraints will help developers make models that better predict the future," climate researcher Steve Klein said.
TEHRAN, Young Journalists Club (YJC) -By looking at which climate mechanisms and variables drive uncertainty among climate models, scientists have found a way to narrow the range of predictions.
Scientists and their models agree, the world is getting warmer and the climate is changing as a result of growing greenhouse gas emissions. But even the best models can't say exactly what the planet's climate systems will look like in 2100.
Even when they're fed the same datasets, climate models produce different ranges of possibilities. The uncertainty surrounding climate feedbacks, like the snow-albedo feedback, explains the discrepancies among model predictions.
The snow-albedo feedback suggests the planet's declining snow coverage will amplify warming. With less snow, the planet's surface will be darker and absorb more of the sun's energy. There are many similar feedback mechanisms that are poorly understood and cause uncertainty in climate models.
Source:upi
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