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Changes and Influencing Factors of Compound Hot–Dry Events in the Mongolian Plateau over the Past 40 Years
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Xiaorui ZHU1, Zhiwei YU1, Lei JU1, Pengjia LI1, Hao LIU1, Zhanli SUN2, Enliang GUO3, Guojie WANG4, Qiang LIU4, 5, Lijuan MIAO1
Chinese Journal of Atmospheric Sciences | 2026, 50(4) : 1265 - 1277
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Chinese Journal of Atmospheric Sciences | 2026, 50(4): 1265-1277
• Articles •
Changes and Influencing Factors of Compound Hot–Dry Events in the Mongolian Plateau over the Past 40 Years
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Xiaorui ZHU1, Zhiwei YU1, Lei JU1, Pengjia LI1, Hao LIU1, Zhanli SUN2, Enliang GUO3, Guojie WANG4, Qiang LIU4, 5, Lijuan MIAO1
Affiliations
  • 1School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044
  • 2Leibniz Institute of Agricultural Development in Transition Economies, Halle, Germany 06120,
  • 3College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022
  • 4School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
  • 5State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science & Technology, Nanjing 210044
Published: 2026-07-15 doi: 10.3878/j.issn.1006-9895.2508.25090
Outline
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In the context of global warming, the spatiotemporal correlation between extreme drought and heatwave events has intensified over time. Their compounding effects not only amplified their individual impacts but also exacerbated the pressure on water resources, agriculture, and ecological environments. Based on the fifth-generation reanalysis data from the European Centre for Medium-Range Weather Forecasts (ERA5), this study calculated the standardized precipitation evapotranspiration index (SPEI) and the standardized temperature index (STI) and employed the Frank Copula function to construct the standardized compound dry and hot index (SCDHI). This approach systematically revealed the spatiotemporal evolution characteristics of compound hot–dry events in the Mongolian Plateau between 1982 and 2023. Additionally, the study integrated a random forest regression model to identify and quantify the key climatic factors that influenced compound hot–dry events in the region. The results indicated that over the past four decades, the intensity, the time proportion, and the affected area proportion of compound hot–dry events in the Mongolian Plateau exhibited a significant decreasing trend. Among the climatic variables, STI was the most influential factor affecting the compound events, with a feature importance value of approximately 0.5. This was followed by SPEI, temperature, and potential evapotranspiration (PET), with feature importance values of 0.4, 0.1, and 0.1, respectively, while precipitation had a relatively weak impact. This study underscored the need to incorporate the long-term impacts of compound hot–dry events into the protection and management of the grassland ecosystem of the Mongolian Plateau. It emphasized the importance of developing adaptive management strategies based on scientific predictions and risk assessments to enhance the resilience and sustainability of the ecosystem.

Mongolian Plateau  /  Compound Hot–Dry Events  /  Standardized Compound Dry and Hot Index  /  Spatiotemporal Evolution  /  Influencing Factors
朱晓蕊, 余志巍, 鞠蕾, 李鹏嘉, 刘昊, 孙战利, 郭恩亮, 王国杰, 刘强, 缪丽娟. 近40年蒙古高原复合干热事件变化及影响要素研究. 大气科学, 2026 , 50 (4) : 1265 -1277 . DOI: 10.3878/j.issn.1006-9895.2508.25090
Xiaorui ZHU, Zhiwei YU, Lei JU, Pengjia LI, Hao LIU, Zhanli SUN, Enliang GUO, Guojie WANG, Qiang LIU, Lijuan MIAO. Changes and Influencing Factors of Compound Hot–Dry Events in the Mongolian Plateau over the Past 40 Years[J]. Chinese Journal of Atmospheric Sciences, 2026 , 50 (4) : 1265 -1277 . DOI: 10.3878/j.issn.1006-9895.2508.25090
Year 2026 volume 50 Issue 4
208
91
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Article Info
doi: 10.3878/j.issn.1006-9895.2508.25090
  • Receive Date:2025-05-22
  • Online Date:2026-09-30
  • Published:2026-07-15
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  • Received:2025-05-22
Affiliations
    1School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044
    2Leibniz Institute of Agricultural Development in Transition Economies, Halle, Germany 06120,
    3College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022
    4School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
    5State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science & Technology, Nanjing 210044
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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