Deciphering the Intermodel Spread in Projections of the Impacts of Indian Summer Monsoon on ENSO Under Global Warming

Abstract The Indian summer monsoon (ISM) is intricately linked to the El Niño‐Southern Oscillation (ENSO) on interannual timescale. Although previous studies have explored ENSO's effects on the ISM, the reverse influence, particularly under global warming, remains unclear. This study examines the projected changes in the ISM's impacts on ENSO under the SSP5‐8.5 emission scenario using 34 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) that reasonably simulate the monsoon's effects on ENSO. A significant spread is found in the projections across the models, with approximately half of the models projecting an enhancing influence of ISM on ENSO, whereas the other half indicates a weakening effect. The intermodel spread is primarily associated with the projected changes in the strength of the feedback between precipitation and low‐level circulation over the tropical northwest Pacific, which is crucial for generating ISM‐induced anomalous circulation over the region. Models projecting an enhanced precipitation‐circulation feedback simulate larger ISM‐driven rainfall and circulation anomalies over the tropical northwest Pacific in a warmer climate, leading to more pronounced zonal wind anomalies near the equator along the southern side of the anomalous circulation and vice versa. As a result, the larger zonal wind anomalies caused by abnormal monsoons exert intensified effects on the subsequent ENSO evolution by significantly suppressing or amplifying the atmosphere‐ocean coupling processes related to ENSO development.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-02-22
DOI
https://doi.org/10.1029/2024jd042803
Primary Topic
Climate variability and models
Type
article
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article

Deciphering the Intermodel Spread in Projections of the Impacts of Indian Summer Monsoon on ENSO Under Global Warming

Shuheng Lin, Kaiqiang Deng, Keyan Fang, Song Yang et al.
Journal of Geophysical Research Atmospheres
Climate variability and models
article

Deciphering the Intermodel Spread in Projections of the Impacts of Indian Summer Monsoon on ENSO Under Global Warming

Shuheng Lin, Kaiqiang Deng, Keyan Fang, Song Yang, Buwen Dong
article en

Abstract

Abstract The Indian summer monsoon (ISM) is intricately linked to the El Niño‐Southern Oscillation (ENSO) on interannual timescale. Although previous studies have explored ENSO's effects on the ISM, the reverse influence, particularly under global warming, remains unclear. This study examines the projected changes in the ISM's impacts on ENSO under the SSP5‐8.5 emission scenario using 34 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) that reasonably simulate the monsoon's effects on ENSO. A significant spread is found in the projections across the models, with approximately half of the models projecting an enhancing influence of ISM on ENSO, whereas the other half indicates a weakening effect. The intermodel spread is primarily associated with the projected changes in the strength of the feedback between precipitation and low‐level circulation over the tropical northwest Pacific, which is crucial for generating ISM‐induced anomalous circulation over the region. Models projecting an enhanced precipitation‐circulation feedback simulate larger ISM‐driven rainfall and circulation anomalies over the tropical northwest Pacific in a warmer climate, leading to more pronounced zonal wind anomalies near the equator along the southern side of the anomalous circulation and vice versa. As a result, the larger zonal wind anomalies caused by abnormal monsoons exert intensified effects on the subsequent ENSO evolution by significantly suppressing or amplifying the atmosphere‐ocean coupling processes related to ENSO development.

Journal of Geophysical Research AtmospheresVol. 130(4)
Fujian Normal University (CN), Sun Yat-sen University (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), National Centre for Atmospheric Science (GB), Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (CN), University of Reading (GB)
Openalex Percentile: Top 98%
Climate variability and models
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