《Table 7 The correlation coefficient values between precipitation extremes in CA and atmospheric cir

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《通过气温和降水极值追踪中亚地区的气候变化（英文）》

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**Significant at p<0.01；*Significant at p<0.05.WCI＿DJF denotes WCI in December，January and February.

Spearman’s correlation analysis was conducted to investigate the statistical relationships between the 17 climate extremes and 10 atmospheric circulations（AAO，AO，NAO，NOI，PDO，PNA，SH，SO，TPI_B and WCI）in CA.The results showed that，in 1957–2005，SH and WCI had significant correlations with temperature extremes（Table 6），while TPI_B and PNA showed good consistency with precipitation extremes（Table 7）.SH showed significant correlation with Tav，Txav，Tnav，FD0，ID0，TXn，TNn and Prcptot（correlation coefficient R=–0.415，–0.331，–0.457，0.320，0.507，–0.350，–0.365 and–0.313，respectively），and WCI exhibited significant correlation with Tav，Tnav，FD0，TXn and TNn（R=0.402，0.485，–0.382，0.347，and 0.394，respectively）.TPI_B had good consistency with Tav，Tnav，ID0，Prcptot，CDD，CWD，R10，R20，Rx1 and Rx5（R=0.312，0.326，–0.377，0.531，–0.422，0.311，0.516，0.568，0.344 and 0.451，respectively），whereas PNA had significant correlation with Prcptot，CDD，R10，R20mm，Rx1，Rx5（R=0.359，–0.312，0.324，0.300，0.342 and0.315，respectively）.From the preceding，we can see that both SH and TPI_B had significant correlation（p<0.05）with Tav，Tnav and Prcptot.SH had significant correlation（p<0.05）with 7 temperature extremes and strong correlation（p<0.01）with 3 temperature extremes.TPI_B showed good consistency（p<0.05）with all 7 precipitation extremes in this study and significant correlation（p<0.01）with 5 of them.WCI was highly correlated with Tav（p<0.01），but not with Prcptot（p>0.05）.PNA had significant correlation with Prcptot（p>0.05），but not with Tav（p>0.05）.Based on these findings，we speculate that SH and TPI_B were the most important atmospheric circulation factors influencing the temperature and precipitation extremes of CA during 1957–2005.