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.
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.
A collaborative international research team led by Professor Yoo-Geun Ham from Chonnam National University and Professor Seung-Ki Min from Pohang University of Science and Technology (POSTECH) has made a discovery on the impact of global warming on global daily precipitation. Using a deep learning approach, they have unveiled a significant change in the characteristics of global daily precipitation for the first time. Their research findings were published on August 30 in the online version of Nature, the renowned academic journal, with the title “Anthropogenic Fingerprints in Daily Precipitation Revealed by Deep Learning.”
The research team devised a deep learning model to quantify the relationship between the intensity of global warming and global daily precipitation patterns. They then applied this model to data obtained from satellite-based precipitation observations. The results revealed that on more than 50% of all days, there was a clear deviation from natural variability in the daily precipitation pattern since 2015, influenced by human-induced global warming.
Read more at Pohang University of Science & Technology (POSTECH)
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