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Deep learning illuminates atmospheric blocking events of past, future

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Atmospheric blocking events are persistent, high-impact weather patterns that occur when large-scale high-pressure systems become stationary and divert the jet stream and storm tracks for days to weeks, and can be associated with record-breaking flooding or heat waves, such as in Europe in 2023. Scientists used a deep learning model to infer the frequency of blocking events over the past 1,000 years and shed light on how future climate change may impact these significant phenomena.

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