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• W4361192228 abstract "Abstract Heat waves, droughts, and compound drought and heat waves (CDHWs) have received extensive attention because of their disastrous impacts on agriculture, ecosystems, human health, and society. Here, we computed the heat wave magnitude index (HWMI), drought magnitude index (DMI), and compound drought and heat wave magnitude index (CDHMI) for Yangtze River Valley (YRV) from July to August during 1961–2022. We compared the large-scale atmospheric circulation characteristics of different extreme events based on these indexes. The results show that the positive center with sink motion in East Asia provides a favorable circulation background for heat wave events. Drought events are mainly affected by the zonal wave train dominated by a significant negative anomaly in Siberia and a high-pressure anomaly upstream, and anticyclonic water vapor with strong divergence over the Yangtze River basin. During CDHW events, both anomalous systems that affect heat waves and droughts appear and strengthen simultaneously. Specifically, the positive anomaly center in YRV expands abnormally, and the +-+ wave train over the northern 50°N region of East Asia becomes more obvious. Therefore, the positive anomaly and water vapor anomaly brought by the two circulation patterns at different latitudes are superimposed over the YRV, leading to severe CDHWs. At the same time, the warm positive eddy center and cold negative eddy center in high latitudes exhibit more stable positive pressure features, which are conducive to the persistent development and strengthening of CDHWs. In addition, the anomalous warm sea surface temperature in western Pacific moderating the favorable circulation patterns may also promote the occurrence of CDHWs in the YRV, which is demonstrated by model simulation." @default.
• W4361192228 created "2023-03-31" @default.
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• W4361192228 date "2023-03-28" @default.
• W4361192228 modified "2023-09-27" @default.
• W4361192228 title "Understanding Changes in Heat Waves, Droughts, and Compound Events in Yangtze River Valley and the Corresponding Atmospheric Circulation Patterns" @default.
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• W4361192228 doi "https://doi.org/10.21203/rs.3.rs-2687144/v1" @default.
• W4361192228 hasPublicationYear "2023" @default.
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