Finer Vertical Resolution Improves the Sudden Stratospheric Warming Prediction Through Better Representing Planetary Waves

Abstract Sudden stratospheric warmings (SSWs) strongly impact tropospheric weather, yet their accurate prediction remains a significant challenge. This study investigates the predictability of SSWs in the Whole Atmosphere Community Climate Model with different vertical resolutions. Results show that SSW onset can be successfully captured up to 5 days in advance with 70 vertical layers, notably shorter than ∼10‐day lead time achieved by operational models. In contrast, when vertical layers are increased to 138, the lead time can be extended to 10 days, with the improvement attributed to better prediction of planetary wave vertical propagation and the resultant wave‐mean flow interactions. Further analysis reveals that the SSW predictability is more sensitive to the vertical resolution between 0.1 and 100 hPa than in the troposphere or mesosphere and beyond. This study demonstrates that enhancing vertical resolution alone can substantially improve SSW prediction skill, despite using coarse horizontal resolution (∼1°) and simplified initialization.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-03-09
DOI
https://doi.org/10.1029/2025gl120534
Primary Topic
Atmospheric Ozone and Climate
Type
article
Field-Weighted Citation Impact
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article

Finer Vertical Resolution Improves the Sudden Stratospheric Warming Prediction Through Better Representing Planetary Waves

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Geophysical Research Letters
Atmospheric Ozone and Climate
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Finer Vertical Resolution Improves the Sudden Stratospheric Warming Prediction Through Better Representing Planetary Waves

Yuan Liang, Huiwen Xiao, Lin Wang, Adam A. Scaife, Steven C. Hardiman, Nick J. Dunstone, Xi Chen
article en

Abstract

Abstract Sudden stratospheric warmings (SSWs) strongly impact tropospheric weather, yet their accurate prediction remains a significant challenge. This study investigates the predictability of SSWs in the Whole Atmosphere Community Climate Model with different vertical resolutions. Results show that SSW onset can be successfully captured up to 5 days in advance with 70 vertical layers, notably shorter than ∼10‐day lead time achieved by operational models. In contrast, when vertical layers are increased to 138, the lead time can be extended to 10 days, with the improvement attributed to better prediction of planetary wave vertical propagation and the resultant wave‐mean flow interactions. Further analysis reveals that the SSW predictability is more sensitive to the vertical resolution between 0.1 and 100 hPa than in the troposphere or mesosphere and beyond. This study demonstrates that enhancing vertical resolution alone can substantially improve SSW prediction skill, despite using coarse horizontal resolution (∼1°) and simplified initialization.

Geophysical Research LettersVol. 53(5)
Met Office (GB), Chinese Academy of Sciences (CN), Tiandi Science & Technology (China) (CN), Institute of Atmospheric Physics (CN), University of Chinese Academy of Sciences (CN)
Climate action
Openalex Percentile: Top 48%
Atmospheric Ozone and Climate
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