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Tropical intraseasonal oscillations as key driver and source of predictability for the 2022 Pakistan record-breaking rainfall event

Earth Sciences

Tropical intraseasonal oscillations as key driver and source of predictability for the 2022 Pakistan record-breaking rainfall event

J. Xie, P. Hsu, et al.

Discover how the devastating floods in Pakistan during August 2022 were influenced by tropical and extratropical intraseasonal oscillations, as revealed by a study conducted by Jinhui Xie, Pang-Chi Hsu, June-Yi Lee, Lu Wang, and Andrew G. Turner. Dive into the mechanics of weather prediction that could reshape our understanding of extreme rainfall events.

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~3 min • Beginner • English
Abstract
In August 2022, Pakistan experienced unprecedented monsoon rains, leading to devastating floods and landslides affecting millions. While previous research has mainly focused on the contributions of seasonal and synoptic anomalies, this study elucidates the dominant influences of tropical and extratropical intraseasonal oscillations on both the occurrence and subseasonal prediction of this extreme rainfall event. Our scale-decomposed moisture budget analysis revealed that intense rainfall in Pakistan was triggered and sustained by enhanced vertical moisture transport anomalies, primarily driven by interactions between intraseasonal circulation anomalies and the prevailing background moisture field when tropical and mid-latitude systems coincided over Pakistan. Evaluation of subseasonal-to-seasonal prediction models further highlighted the critical role of tropical intraseasonal modes in causing this extreme rainfall event in Pakistan. Models that accurately predicted northward-propagating intraseasonal convection with a forecast lead time of 8–22 days demonstrated good skill in predicting the extreme event over Pakistan.
Publisher
npj Climate and Atmospheric Science
Published On
Oct 23, 2024
Authors
Jinhui Xie, Pang-Chi Hsu, June-Yi Lee, Lu Wang, Andrew G. Turner
Tags
Pakistan floods
monsoon rains
intraseasonal oscillations
moisture transport
rainfall prediction
climate science
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