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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

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Xiu-Yuan Ding

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Open access Sep 2026

Dual physical pathways shape subseasonal-to-seasonal predictability of North American summer heat extremes

Improving the subseasonal-to-seasonal (S2S) prediction of heatwaves is a critical scientific challenge due to their severe societal impacts and the limited predictability at these lead times. Here we show two dominant and physically distinct sources of S2S predictability for the weekly hot days across North America....

B. Xiang, Lucas Harris, Gan Zhang et al. · 0 citations
Open access Sep 2026

Stratospheric wave predictability enhances surface forecasts over North America

Advances in subseasonal-to-seasonal (S2S) forecasting have broad socioeconomic benefits. Stratospheric variability has been identified as a major source of surface predictability on S2S timescales, yet its influence on forecasting North American cold extremes has not been fully understood. Here, using hindcasts from a...

Xiu-Yuan Ding, Bao-Qiang Xiang, Gang Chen et al. · 0 citations

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