Impacts of changing atmospheric circulations and declining spring Barents Sea ice on more frequent summer heatwave in Southern China

被引:0
|
作者
Wang, Zhikuan [1 ]
Song, Zhichao [1 ]
Ma, Qianrong [1 ]
Feng, Taichen [2 ,3 ,4 ]
Yan, Pengcheng [5 ]
Feng, Guolin [1 ,6 ]
机构
[1] Yangzhou Univ, Coll Phys Sci & Technol, Yangzhou 225012, Peoples R China
[2] Sun Yat Sen Univ, Sch Atmospher Sci, Minist Educ, Zhuhai 519082, Peoples R China
[3] Sun Yat Sen Univ, Key Lab Trop Atmosphere Ocean Syst, Minist Educ, Zhuhai 519082, Peoples R China
[4] Southern Marine Sci & Engn Guangdong Lab, Zhuhai 519082, Peoples R China
[5] China Meteorol Adm, Inst Arid Meteorol China Meteorol Adm, Key Lab Arid Climat Change & Reducing Disaster Gan, Key Lab Arid Climat Change & Reducing Disaster, Lanzhou 730030, Peoples R China
[6] Natl Climate Ctr, China Meteorol Adm Key Lab Climate Predict Studies, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Southern China Heatwaves; Self-organizing Map; Large-scale Circulation; Spring Barents Sea Ice; WAVES; JET;
D O I
10.1016/j.atmosres.2024.107874
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In Southern China (SC), heatwaves have intensified and became more frequent since the early 2000s. Using Self- Organizing Maps (SOM), SC heatwaves were classified into four distinct types. SOM1, the dominant pattern (accounting for 75.9 % events), centered in the Yangtze River Basin. The most severe events in this category featured a maximum temperature (Tmax) of 44.5 degrees C, impacted 600 stations, and lasted for 13 days. SOM1 was primarily influenced by the westward extension of the Western Pacific Subtropical High (WPSH), the eastward extension of the South Asian High (SAH), abnormal European Blocking (EB) and Silk Road Pattern (SRP). Four most extreme heatwaves were categorized under SOM2, including the 2022 mega heatwave, which recorded a higher T max (45.0 degrees C), broader coverage (623 stations), and longer duration (36 days). These events are driven by much stronger EB, WPSH, and SAH anomalies, indicating a more intensified circulation pattern compared to SOM1. SOM3 comprising eight events, primarily affected eastern SC. In contrast, SOM4 including two cases mainly affected western SC. Increased SC heatwaves have been linked to changing large-scale circulations and spring Barents Sea ice loss. Random Forest quantified the relative importance of different large-scale circulation factors, revealing that the reconstructed circulation pattern associated with SOM1 showed a significant enhancement, with its contribution to heatwaves increasing from 14.5 % to 47.2 % since the early 2000s. Spring Barents Sea ice loss influenced SC heatwaves by adjusting aforementioned circulations, especially after the early 2000s, supported by diagnosis and numerical experiments.
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页数:13
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