2021
DOI: 10.1002/joc.7473
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Anthropogenic influence on compound dry and hot events in China based on Coupled Model Intercomparison Project Phase 6 models

Abstract: Compared to individual dry or hot events, compound dry and hot events (CDHEs) usually pose more severe economic and societal impacts. A growing body of literature investigates the role of anthropogenic forcing on variations of individual dry and hot events at different spatial scales. However, the attribution of CDHEs in China using model simulations from the Coupled Model Intercomparison Project Phase 6 (CMIP6) has received little attention. This study investigates the anthropogenic influence on CDHEs during … Show more

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Cited by 20 publications
(5 citation statements)
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“…This translates to an approximately threefold increase in frequency, fivefold increase in duration, and fourfold increase in severity by the end of the 21st century relative to year 2019. A significant increasing pattern in CDHW characteristics is projected for the high emission scenario (SSP5-8.5) followed by moderate (SSP2-4.5) scenarios compared to the mild (SSP1-2.6) scenarios, which is consistent with recent literature ( 21 , 30 ).…”
Section: Resultssupporting
confidence: 91%
See 1 more Smart Citation
“…This translates to an approximately threefold increase in frequency, fivefold increase in duration, and fourfold increase in severity by the end of the 21st century relative to year 2019. A significant increasing pattern in CDHW characteristics is projected for the high emission scenario (SSP5-8.5) followed by moderate (SSP2-4.5) scenarios compared to the mild (SSP1-2.6) scenarios, which is consistent with recent literature ( 21 , 30 ).…”
Section: Resultssupporting
confidence: 91%
“…Compound drought and heatwaves (CDHWs) pose a severe threat to socioecological systems ( 1 , 2 ), leading to greater impacts, e.g., wildfires ( 3 ), agriculture ( 4 6 ), massive heat-related mortalities ( 7 , 8 ), and socioeconomic catastrophes ( 9 ), than individual extremes ( 10 ). In recent decades, CDHWs have increased globally ( 11 ), including Europe ( 12 14 ), the United States ( 15 ), South America ( 16 ), Australia ( 17 , 18 ), and Asia ( 19 22 ).…”
mentioning
confidence: 99%
“…It may be noted that several studies have acknowledged the uncertainties in the projected return periods of drought characteristics (duration, severity and peak) due to various factors such as the choice of drought index, GCMs and bias‐correction methods (Ju et al, 2021; Wu et al, 2022; Xu et al, 2019a,b). To quantify the uncertainty in the projections of precipitation extremes, a variance‐based sensitivity analysis method was employed by Xu et al (2019a,b).…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, a comprehensive basin scale investigation of the spatial–temporal variation of compound events in the Godavari basin in peninsula India would be of great significance to address the challenges and prepare better for the emerging risks from compound events. Further, most of the available literature on compound events consider compound drought and heatwave (Chen et al, 2019; Wu et al, 2022; Zscheischler and Fischer, 2020), compound wind and precipitation (Martius et al, 2016; Y. Zhang et al, 2021), compound heavy rainfall and upstream‐downstream extreme river flow (Tao et al, 2022) and compound floods in coastal area (Fang et al, 2020; Wahl et al, 2015). Very few studies are available considering compound extremes events based on the extreme climatic indices at the basin scale (Xu and Zhang, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Yaddanapudi et al (2022) examined future projections of CWPE events for the coastal areas impacted by tropical cyclones on a global scale using CMIP6 models. Based on the CMIP6 models, Wu et al (2022) and Meng et al (2022) evaluated the future changes of compound dry and hot events and CWPEs in China, respectively. It can be seen that CWPEs have received increasing attention in recent years and there has been a gradual increase in the study of such compound extreme events using the CMIP6 model.…”
Section: Introductionmentioning
confidence: 99%