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Observed and Simulated Mesoscale Convective Systems over High Mountain Asia. Part II: Past Trend and Future Projection

  • Wenhao Dong
  • , Deliang Chen
  • , Xiaomeng Huang
  • , Julia Kukulies
  • , Puxi Li
  • , Yanluan Lin
  • , Yong Luo
  • , Fengfei Song
  • , Kaicun Wang
  • , Yuanyu Xie
  • , Kun Yang
  • Tsinghua University
  • China Meteorological Administration
  • Laoshan Laboratory
  • Ocean University of China
  • Peking University
  • Princeton University

Research output: Contribution to journal › Article › peer-review

1 Citation (Web of Science)

Abstract

In the second half of this two-part study, we apply a mesoscale convective system (MCS) tracking method to two satellite datasets, together covering nearly four decades the longest observational MCS record to date over High Mountain Asia (HMA). Using this dataset, we examine past trends of warm-season MCS characteristics and their environmental drivers. A consistent decreasing trend in MCS frequency is found during 1985-2023. Analysis of dynamic and thermodynamic variables indicates increasing convective inhibition (CIN), which represents the energy barrier to convective initiation, as the primary driver of this trend. Enhanced CIN modulates the convective population by suppressing weaker convection, which is common over HMA, while favoring fewer but stronger convective systems. We further leverage simulations from a high-resolution global climate model and a global storm-resolving model to assess MCS responses to global warming. Both models consistently project continued reductions in MCS frequency under warmer conditions, suggesting a sustained downward trend in future climates. Changes in MCS-related precipitation are more nuanced, reflecting a balance between reduced MCS frequency and increased precipitation intensity per event. These fndings provide a multidecadal perspective on the evolution and projected response of MCSs over HMA, highlighting the critical role of CIN in regulating convective organization and the potential for rarer but more intense storms to amplify hydrological and societal risks in a warming climate.
Original languageEnglish
Pages (from-to)5263-5276
Number of pages14
JournalJournal of Climate
Volume39
Issue number17
DOIs
StatePublished - Sep 2026

Keywords

  • Atmosphere
  • Climate models
  • Cloud resolving models
  • Mesoscale systems
  • Tibetan Plateau
  • Trends

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