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 coupled S2S forecast system, we identify a wave-1-like pattern among leading sources of predictability in the lower stratosphere during extended winters. This mode, characterized by strong stratospheric wave activity, improves second-week temperature prediction over North America by 15% (2 to 28%). It also increases the likelihood of North American cold extremes by 50%. Prediction skill for these extremes increases by 28% in forecasts conditioned on the wave-1-like stratospheric mode, across regions inhabited by over 69% of the Canadian population and over 30% of the U.S. population. These skill enhancements are attributed to the vertical wave coupling between the stratosphere and troposphere, distinct from the well-known downward influence of sudden stratospheric warmings (SSW). By conditioning forecasts on stratospheric states, our findings highlight strong stratospheric waves as windows of opportunity for skillful winter S2S predictions.

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Publication Details

Journal
Science Advances
Published
2026-09-18
DOI
https://doi.org/10.1126/sciadv.aee4171
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Stratospheric wave predictability enhances surface forecasts over North America

Liping Wang, Gang Chen, Xiuyuan Ding, Baoqiang Xiang
Science Advances
Climate variability and models
article

Stratospheric wave predictability enhances surface forecasts over North America

Liping Wang, Gang Chen, Xiuyuan Ding, Baoqiang Xiang
article en

Abstract

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 coupled S2S forecast system, we identify a wave-1-like pattern among leading sources of predictability in the lower stratosphere during extended winters. This mode, characterized by strong stratospheric wave activity, improves second-week temperature prediction over North America by 15% (2 to 28%). It also increases the likelihood of North American cold extremes by 50%. Prediction skill for these extremes increases by 28% in forecasts conditioned on the wave-1-like stratospheric mode, across regions inhabited by over 69% of the Canadian population and over 30% of the U.S. population. These skill enhancements are attributed to the vertical wave coupling between the stratosphere and troposphere, distinct from the well-known downward influence of sudden stratospheric warmings (SSW). By conditioning forecasts on stratospheric states, our findings highlight strong stratospheric waves as windows of opportunity for skillful winter S2S predictions.

Science AdvancesVol. 12(38)
University of California, Los Angeles (US), NOAA Geophysical Fluid Dynamics Laboratory (US), Princeton University (US), University Corporation for Atmospheric Research (US), University of Virginia (US)
National Oceanic and Atmospheric Administration
Openalex Percentile: Top 14%
Climate variability and models
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Stratospheric wave predictability enhances surface forecasts over North America — Liping Wang, Gang Chen, et al. · Science Advances (2026) | TGRS Research Map | TGRS