Abstract: The authors studied the effect of meteorological factors on the harvest patterns of tea yield in Laoshan, Qingdao in order to determine the primary agro-meteorological hazard indicators causing the disaster year of tea yield in Laoshan. Based on the tea yield data and corresponding meteorological data in Laoshan from 1994 to 2016, by using SPSS 22.0, we conducted independent sample T test, crosstab analysis and x2 test. The meteorological factors having significant effect on the harvest patterns of tea yield were screened first, and then an agro-meteorological prediction model of the harvest patterns of tea yield in Laoshan was built by binary logistic regression analysis. Using the established model to forecast the tea yield data during 1994- 2013, the accuracy rate of“non-disaster years”and“disaster years”was 92.6% and 83.3%, respectively; the prediction accuracy rate of“non-disaster years”during 2014-2015 was 100% and that of“disaster years ”in 2016 was 96.7%. The results indicated that: the cause of“disaster years”of tea yield reduction in Laoshan was that the daily lowest temperature was below -10℃ for 2 consecutive days in winter. The strong cold wave in winter might cause dramatic drop in temperature; when the lowest temperature was below - 10℃ for 2 consecutive days, the soil in tea garden in Laoshan became frozen and the water movement and rise in soil were encumbered. In such a case, the cells in vivo of tea tree were frozen and suffered from physiological cold damage and even died, these resulted in tea yield reduction. The research results provide a theoretical basis for the development of meteorological service and disaster prevention and mitigation for tea production in Laoshan.