The impact of the QBO vertical structure on June extreme high temperatures in South Asia

Using observation data and numerical simulations, we have demonstrated that the stratospheric Quasi-Biennial Oscillation (QBO) can predict extreme high temperatures (EHTs) in South Asia in June. The vertical structure of the QBO plays a crucial role in this prediction. When the QBO in June shows easterlies (westerlies) at 50 hPa and westerlies (easterlies) at 70 hPa, more (fewer) EHT events occur. This likely results from the QBO’s vertical structure causing positive (negative) temperature anomalies in the lower stratosphere and negative (positive) static stability anomalies near the tropical tropopause. These anomalies enhance (weaken) convective activity over the equatorial Indian Ocean, leading to anomalous circulation with ascending (descending) air over the equatorial Indian Ocean and descending (ascending) air over northern and central South Asia. This suppresses (promotes) convection over northern and central South Asia, affecting cloud formation and precipitation. Consequently, more (less) solar radiation reaches the region, along with weaker (stronger) evaporative cooling effects, warming (cooling) the surface and creating a background state conducive to (against) EHT events. Additionally, the opposite zonal winds at 30 hPa and 50 hPa in April may serve as a reference factor for predicting the probability of EHT events in northern and central South Asia. This study provides a potential approach for forecasting tropospheric extreme weather events based on stratospheric signals.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2024-10-07
DOI
https://doi.org/10.1038/s41612-024-00791-2
Citations
6
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.70

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article

The impact of the QBO vertical structure on June extreme high temperatures in South Asia

Fei Xie, Fuhai Luo, Wenshou Tian, Jiali Luo et al.
6 citations
npj Climate and Atmospheric Science
Climate variability and models
1.70
article

The impact of the QBO vertical structure on June extreme high temperatures in South Asia

Fei Xie, Fuhai Luo, Wenshou Tian, Jiali Luo, Fangrui Zhu, Xiao Chen, Zhenhua Wang, Mingzhen Gu
article en
6 citations

Abstract

Using observation data and numerical simulations, we have demonstrated that the stratospheric Quasi-Biennial Oscillation (QBO) can predict extreme high temperatures (EHTs) in South Asia in June. The vertical structure of the QBO plays a crucial role in this prediction. When the QBO in June shows easterlies (westerlies) at 50 hPa and westerlies (easterlies) at 70 hPa, more (fewer) EHT events occur. This likely results from the QBO’s vertical structure causing positive (negative) temperature anomalies in the lower stratosphere and negative (positive) static stability anomalies near the tropical tropopause. These anomalies enhance (weaken) convective activity over the equatorial Indian Ocean, leading to anomalous circulation with ascending (descending) air over the equatorial Indian Ocean and descending (ascending) air over northern and central South Asia. This suppresses (promotes) convection over northern and central South Asia, affecting cloud formation and precipitation. Consequently, more (less) solar radiation reaches the region, along with weaker (stronger) evaporative cooling effects, warming (cooling) the surface and creating a background state conducive to (against) EHT events. Additionally, the opposite zonal winds at 30 hPa and 50 hPa in April may serve as a reference factor for predicting the probability of EHT events in northern and central South Asia. This study provides a potential approach for forecasting tropospheric extreme weather events based on stratospheric signals.

npj Climate and Atmospheric ScienceVol. 7(1)
Beijing Normal University (CN), Lanzhou University (CN)
Lanzhou University, National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 16%
Climate variability and models
1.70
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