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

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.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2024-10-23
DOI
https://doi.org/10.1038/s41612-024-00809-9
Citations
7
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.98

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article

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

Jinhui Xie, June‐Yi Lee, Andrew G. Turner, Pang‐Chi Hsu et al.
7 citations
npj Climate and Atmospheric Science
Climate variability and models
1.98
article

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

Jinhui Xie, June‐Yi Lee, Andrew G. Turner, Pang‐Chi Hsu, Lu Wang
article en
7 citations

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.

npj Climate and Atmospheric ScienceVol. 7(1)
Nanjing University of Information Science and Technology (CN), Institute for Basic Science (KR), National Centre for Atmospheric Science (GB), Pusan National University (KR), University of Reading (GB)
Sight Research UK, National Research Foundation, National Natural Science Foundation of China, National Research Foundation of Korea, Nanjing University of Information Science and Technology, Nanjing University, Institute for Basic Science, Natural Environment Research Council
Climate action
Openalex Percentile: Top 14%
Climate variability and models
1.98
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