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Unveiling global warming's impact on daily precipitation with deep learning

ScienceDaily · last updated

A research team has conclusively demonstrated that global warming stands as primary driver behind the recent increase in heavy rainfall and heatwaves using deep learning convolutional neural network.

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What began as a theory in the 1890s — that industrial emissions of carbon dioxide could increase global temperatures — had progressed to a scientific fact a century later. Scientists across a range of disciplines are studying the impact of the still-growing concentration of carbon dioxide and other so-called “greenhouse gases” in the atmosphere as they call for industrial and governmental policies to slow, then halt, the warming of the planet. 

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