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A collaborative research team from China has published a new analysis that shows the horizontal heat flux in the mixed layer plays a crucial role in extreme heat events in the North China Plain region.

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Machine-learning research published in two related papers today in Nature Geosciences reports the detection of seismic signals accurately predicting the Cascadia fault’s slow slippage, a type of failure observed to precede large earthquakes in other subduction zones.

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