The issues about climatic drivers of extreme precipitation in the Jialing River Basin are complex and unclear. In order to investigate the climatic drivers, we collected daily precipitation data from 1960 to 2019 to analyze the spatio-temporal changes of the consecutive dry days (CDD) and consecutive wet days (CWD), using statistical methods of Sen’slope, Mann-Kendall, and random forest. The results showed that the trends of CDD and CWD were -3.8-4.8 d/10a and -0.42-0 d/10a, with 2 (3.3%) and 10 (15.9%) stations reaching the significant trend of p=0.05, respectively. In terms of local climatic drivers, there was a strong positive correlation between CWD and annual precipitation, with the correlation coefficients of 34 (54%) stations reaching the significant trend of p=0.05. As for climate circulation, both single and multi-factor analysis showed that Nino 3.4 and SOI (southern oscillation index) were the main driving factors of the continuous extreme precipitation in the Jialing River Basin, and there were 28 (44.4%) and 15 (23.8%) stations with significant correlation coefficients for CDD and CWD, respectively; whereas SASMI (south Asian summer monsoon index) and PDO (Pacific decadal oscillation) were the secondary driving factors of CDD and CWD respectively.