Variability of Summer Drought and Heatwave Events in Northeast China

气候学 气候变化 环境科学 降水 极端气候 中国 全球变暖 农业 热浪 索引(排版) 空间分布 极端天气 热指数 地理 自然地理学 气象学 生态学 万维网 考古 相对湿度 计算机科学 地质学 生物 遥感
作者
Rui Wang,Longpeng Cong,Ying Sun,Xiaotian Bai
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:17 (14): 6569-6569
标识
DOI:10.3390/su17146569
摘要

As global climate change intensifies, extreme climate events are becoming more frequent, presenting significant challenges to socioeconomic systems and ecosystems. Northeast China, a region highly sensitive to climate change, has been profoundly impacted by compound drought and heat extremes (CDHEs), affecting agriculture, society, and the economy. To evaluate the characteristics and evolution of summer CDHEs in this region, this study analyzed observational data from 81 meteorological stations (1961–2020) and developed a Standardized Temperature–Precipitation Index (STPI) using the Copula joint probability method. The STPI’s effectiveness in characterizing compound drought and heat conditions was validated against historical records. Using the constructed STPI, this study conducted a comprehensive analysis of the spatiotemporal distribution of CDHEs. The Theil–Sen median trend analysis, Mann–Kendall trend tests, and the frequency of CDHEs were employed to examine drought and heatwave patterns and their influence on compound events. The findings demonstrated an increase in the severity of compound drought and heat events over time. Although the STPI exhibited a slight interannual decline, its values remained above −2.0, indicating the continued intensification of these events in the study area. Most of the stations showed a non-significant decline in the Standardized Precipitation Index and a significant rise in the Standardized Temperature Index, indicating that rising temperatures primarily drive the increasing severity of compound drought and heat events. The 1990s marked a turning point with a significant increase in the frequency, severity, and spatial extent of these events.
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