Abstract: The meteorological data collected at 12 stations in Yulin are analyzed based on the liner regression analysis and accumulative anomaly analysis to get the characteristics and trend of climate change in Yulin during 1974-2012, Morlet analysis is used to get the variation period of climate series, and accumulative anomaly, Mann-Kendall abrupt test and moving t-test, Yamamoto analysis for different subsequences were applied to detect catastrophe points of climate series. Results show that the range of climatic warming is higher than climate drying; there exist cold/warm, dry/wet alternation and a negative correlation between the annual mean air temperature and the annual precipitation, and there is a weak trend of getting-cold and getting-humid from warming-drying since 2006; the main cycles of the annual mean air temperature and annual precipitation are 13 a, 8-9 a, 30 a, 5 a and 3 a, 8-9 a, respectively; the amount and time of catastrophe points of the climate series are different, and the catastrophe of annual precipitation is not obvious; synthetic analysis should be adopted to get accurate catastrophe point of climate series.

Key words: climate change, wavelet analysis, statistical characteristics, Yulin