Compound weather and climate events, which may cause devastating impacts on economic and social development, have become major threats in the twenty-first century, especially to countries with complex climate and terrain like China. A better understanding of the driving factors of compound weather and climate events is essential for reducing their impacts, which remains overall lacking. In this study, we evaluate the potential influence of large-scale circulation patterns on compound dry and hot events (CDHEs) during summer for the period 1921-2016 in mainland China using the composite analysis. Furthermore, the logistic regression model and correlation analysis are also used to confirm the result. The Atlantic Multidecadal Oscillation is found to affect CDHEs for about 18.52 of mainland China, followed by North Atlantic Oscillation and Pacific Decadal Oscillation accounting for about 14.64 and 12.96, respectively. El Nino-Southern Oscillation affects CDHEs for small areas (about 5.27). In general, regions with significant impacts of these indices from the three methods are overall consistent (mainly shown in northern parts of mainland China) with relatively larger areas estimated from the correlation analysis. These results are expected to be helpful for understanding occurrences of CDHEs and mitigating their negative impacts in China.
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