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Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence

Earth Sciences

Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence

Y. Lee, D. Cho, et al.

This study conducted by Yeonsu Lee, Dongjin Cho, Jungho Im, Cheolhee Yoo, Joonele Lee, Yoo-Geun Ham, and Myong-In Lee uncovers vital teleconnection drivers for predicting heatwaves in South Korea. By employing machine learning and explainable AI, the research identifies significant correlations between snow depth variability in key mountain regions and summer climate triggers, showcasing the power of advanced ML techniques in this domain.

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