Abstract: The strong and weak correlations of decadal variation of respective indices of circulation characteristic qualities, such as the polar vortex in Northern Hemisphere, Asia polar vortex area and strength index, and East Asian trough strength and location index, were analyzed and tested to pass through significant level. In strong correlation periods, the correlations between these circulation characteristic qualities and air temperature and precipitation anomalies in Ningxia in January and February revealed that the stability of air temperature and precipitation were high, that means that, as the reference factors in prediction, these circulation characteristic qualities were very important. The correlation analysis and significance test between the earlyNino 3.4 region SST monitoring state in December and the air temperature and precipitation in Ningxia in next January and February from 1961 to 2010 revealed that, under the El Nino/La Nina events, there was a significant positive correlation and a negative correlation between air temperature and precipitation since 2000 under climate warming; under an El Nino event, there was a significant positive and negative correlation between air temperature and precipitation in February; under a La Nina event, there was a significant negative correlation between air temperature and precipitation in February; under a constant SST, there was no significant correlation between air temperature and precipitation in January and February, and all these correlations passed the significant level test. Fifteen La Nina events occurred from 1961 to 2010, their probabilities affecting air temperature and precipitation anomalies in Ningxia in January and February were described, and it was verified with X² test that there was no significant correlation between La Nina event and air temperature and precipitation in January and February.

Key words: font-family: 宋体, mso-bidi-font-family: 宋体, mso-font-kerning: 1.0pt, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, Nino 3.4 region SST')">mso-bidi-language: AR-SA">Nino 3.4 region SST, El Nino event, La Nina event, air temperature, precipitation, correlation analysis, Ningxia