Role of Quasi‐Biweekly Cloud‐Radiative Feedback in Modulating and Simulating Extreme Rainfall Intensity Over Asian Monsoon Regions

Abstract Although Cloud‐radiative feedback (CRF) has been investigated in terms of its modulation of extreme precipitation over tropical oceans, the specific timeframe of CRF variability and the associated processes driving extreme rainfall over Asian monsoon regions remain unclear. Based on observational analyses and model sensitivity experiments, this study reveals that longwave CRF at the quasi‐biweekly timescale is most closely linked to the intensity of persistent (≥3‐day) heavy rainfall events in southern China and northern India by efficiently maintaining the large‐scale convective perturbations. When CRF is disabled, the quasi‐biweekly convective anomalies supporting extreme precipitation are weakened. Additional assessments of Coupled Model Intercomparison Project historical simulations confirm that models with more accurate quasi‐biweekly longwave CRF exhibit smaller biases in capturing the amplitude of persistent heavy rainfall. These results have implications for improving model capability in simulating and forecasting quasi‐biweekly CRF to mitigate the risks of extreme precipitation events in monsoonal Asia.

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Publication Details

Journal
Geophysical Research Letters
Published
2024-11-07
DOI
https://doi.org/10.1029/2024gl111671
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.57

Funders

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article

Role of Quasi‐Biweekly Cloud‐Radiative Feedback in Modulating and Simulating Extreme Rainfall Intensity Over Asian Monsoon Regions

Shuzhen Hu, Hongli Chen, Pang‐Chi Hsu
2 citations
Geophysical Research Letters
Climate variability and models
0.57
article

Role of Quasi‐Biweekly Cloud‐Radiative Feedback in Modulating and Simulating Extreme Rainfall Intensity Over Asian Monsoon Regions

Shuzhen Hu, Hongli Chen, Pang‐Chi Hsu
article en
2 citations

Abstract

Abstract Although Cloud‐radiative feedback (CRF) has been investigated in terms of its modulation of extreme precipitation over tropical oceans, the specific timeframe of CRF variability and the associated processes driving extreme rainfall over Asian monsoon regions remain unclear. Based on observational analyses and model sensitivity experiments, this study reveals that longwave CRF at the quasi‐biweekly timescale is most closely linked to the intensity of persistent (≥3‐day) heavy rainfall events in southern China and northern India by efficiently maintaining the large‐scale convective perturbations. When CRF is disabled, the quasi‐biweekly convective anomalies supporting extreme precipitation are weakened. Additional assessments of Coupled Model Intercomparison Project historical simulations confirm that models with more accurate quasi‐biweekly longwave CRF exhibit smaller biases in capturing the amplitude of persistent heavy rainfall. These results have implications for improving model capability in simulating and forecasting quasi‐biweekly CRF to mitigate the risks of extreme precipitation events in monsoonal Asia.

Geophysical Research LettersVol. 51(21)
Nanjing University of Information Science and Technology (CN), Ministry of Education (BD)
National Natural Science Foundation of China, Government of Jiangsu Province
Life below water
Openalex Percentile: Top 33%
Climate variability and models
0.57
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