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Impact Analysis of Intraseasonal Oscillation Signals on the Compound High Temperature–Drought Event in Southwestern China Between August and September 2024
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Yonghua LI1, Haonan JI2, Yingying BAI1, Bo XIANG1, Juanxiong HE3
Chinese Journal of Atmospheric Sciences | 2026, 50(4) : 1117 - 1134
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Chinese Journal of Atmospheric Sciences | 2026, 50(4): 1117-1134
• Articles •
Impact Analysis of Intraseasonal Oscillation Signals on the Compound High Temperature–Drought Event in Southwestern China Between August and September 2024
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Yonghua LI1, Haonan JI2, Yingying BAI1, Bo XIANG1, Juanxiong HE3
Affiliations
  • 1Chongqing Climate Center/China Meteorological Administration Key Open Laboratory of Transforming Climate Resources to Economy/Geleshan National Climate Observatory, Chongqing 401147
  • 2Key Laboratory of Meteorological Disaster & Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044
  • 3Institute of Atmospheric physics Chinese Academy of Sciences, Beijing 100029
Published: 2026-07-15 doi: 10.3878/j.issn.1006-9895.2509.25041
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Southwestern China experienced a typical compound heat–drought event between mid-August and mid-September 2024, which significantly impacted the local economy and livelihoods. In this region, such compound events are related to intraseasonal oscillations (ISOs) originating from different areas. However, conventional statistical methods fail to distinguish the specific contributions of various ISOs to these extreme conditions. Using atmospheric-circulation diagnostics and numerical simulations using the Weather Research and Forecasting model with varying-ISO-signal-driven boundary forcings, this study reveals the following: the ISO signal induced by a mid-latitude westerly wave train in the upper troposphere increased the regional average temperature by 1.331°C in Southwestern China, primarily affecting the northern part of the region. This ISO signal accounted for 62.8% of the overall compound heat–drought event. The ISO signal associated with a middle-tropospheric teleconnection wave train increased regional average temperatures by 0.768°C. This impact is mainly concentrated in the eastern Sichuan Basin and most of Chongqing, accounting for 37.2% of the event. The development of this compound event was predominantly influenced by a mid-latitude westerly wave train from the northwestern boundary. This promoted the significant expansion of the South Asian High over Southwestern China, resulting in strong positive geopotential height anomalies. Simultaneously, warm advection due to the westward extension and northward shift of the Western North Pacific Subtropical High, coupled with positive tropospheric geopotential height anomalies, contributed to regional temperature increases and decreased soil moisture. Overall, this study enhances the understanding of the mechanisms driving compound heat–drought events in Southwestern China, providing a foundation for improving subseasonal-prediction capabilities.

Intraseasonal oscillation signals  /  Southwestern China  /  Compound high-temperature and drought disaster event  /  Formation mechanisms  /  Numerical model simulation experiments
李永华, 季豪楠, 白莹莹, 向波, 何卷雄. ISO信号对2024年8~9月中国西南地区高温干旱复合灾害事件的影响分析. 大气科学, 2026 , 50 (4) : 1117 -1134 . DOI: 10.3878/j.issn.1006-9895.2509.25041
Yonghua LI, Haonan JI, Yingying BAI, Bo XIANG, Juanxiong HE. Impact Analysis of Intraseasonal Oscillation Signals on the Compound High Temperature–Drought Event in Southwestern China Between August and September 2024[J]. Chinese Journal of Atmospheric Sciences, 2026 , 50 (4) : 1117 -1134 . DOI: 10.3878/j.issn.1006-9895.2509.25041
Year 2026 volume 50 Issue 4
209
84
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doi: 10.3878/j.issn.1006-9895.2509.25041
  • Receive Date:2025-03-09
  • Online Date:2026-09-30
  • Published:2026-07-15
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  • Received:2025-03-09
Affiliations
    1Chongqing Climate Center/China Meteorological Administration Key Open Laboratory of Transforming Climate Resources to Economy/Geleshan National Climate Observatory, Chongqing 401147
    2Key Laboratory of Meteorological Disaster & Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044
    3Institute of Atmospheric physics Chinese Academy of Sciences, Beijing 100029
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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