Intensification of summer mesoscale convective systems in East China under global warming

Mesoscale Convective Systems (MCSs) are the primary drivers of extreme rainfall and flood hazards. Understanding their response to global warming is therefore important for improving climate projections and disaster risk reduction. In East China, however, evidence remains largely limited to case studies, and long-term projections of MCSs are scarce due to their poor representation in coarse-resolution climate models. Using convection-permitting model simulations with a pseudo–global warming approach, this study presents 22-summer projections of future MCSs over East China under the SSP5-8.5 scenario. Results show that future MCSs exhibit higher precipitation intensity and wider convective areas. Convective precipitation intensifies more than stratiform precipitation, indicating a transition toward more convection-dominated systems, accompanied by enhanced mid-level updrafts and super–Clausius–Clapeyron scaling of extreme rainfall. Increases in convective available potential energy (CAPE) and total column water vapor (TCWV) largely explain the intensification of maximum convective precipitation, with vertical zonal wind shear acting as a key dynamic modulator. The product of TCWV and vertical velocity is identified as an effective predictor of MCS peak precipitation. These findings imply heightened risks of intense rainfall from MCSs in East China and highlight the combined roles of thermodynamic and dynamic processes in shaping future MCSs.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2026-05-22
DOI
https://doi.org/10.1038/s41612-026-01441-5
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Intensification of summer mesoscale convective systems in East China under global warming

Douglas J. Parker, John H. Marsham, Juan Fang, Jianping Tang et al.
npj Climate and Atmospheric Science
Climate variability and models
article

Intensification of summer mesoscale convective systems in East China under global warming

Douglas J. Parker, John H. Marsham, Juan Fang, Jianping Tang, Yutong Lu, Deliang Chen, Sinan Gu
article en

Abstract

Mesoscale Convective Systems (MCSs) are the primary drivers of extreme rainfall and flood hazards. Understanding their response to global warming is therefore important for improving climate projections and disaster risk reduction. In East China, however, evidence remains largely limited to case studies, and long-term projections of MCSs are scarce due to their poor representation in coarse-resolution climate models. Using convection-permitting model simulations with a pseudo–global warming approach, this study presents 22-summer projections of future MCSs over East China under the SSP5-8.5 scenario. Results show that future MCSs exhibit higher precipitation intensity and wider convective areas. Convective precipitation intensifies more than stratiform precipitation, indicating a transition toward more convection-dominated systems, accompanied by enhanced mid-level updrafts and super–Clausius–Clapeyron scaling of extreme rainfall. Increases in convective available potential energy (CAPE) and total column water vapor (TCWV) largely explain the intensification of maximum convective precipitation, with vertical zonal wind shear acting as a key dynamic modulator. The product of TCWV and vertical velocity is identified as an effective predictor of MCS peak precipitation. These findings imply heightened risks of intense rainfall from MCSs in East China and highlight the combined roles of thermodynamic and dynamic processes in shaping future MCSs.

npj Climate and Atmospheric Science
University of Leeds (GB), Nanjing University of Information Science and Technology (CN), Bjerknes Centre for Climate Research (NO), NORCE Research AS (NO), Zhejiang Meteorological Bureau (CN), Ningxia Meteorological Bureau (CN), Nanjing University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Tsinghua University, Natural Environment Research Council, Natural Science Foundation of Zhejiang Province
Climate action
Openalex Percentile: Top 6%
Climate variability and models
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