Abstract: The paper aims to study the impact of meteorological factors on 1000-grain weight of winter wheat, and provide a basis for increasing wheat yield. Based on related meteorological and agricultural data of the Yaodu Meteorological Bureau of Linfen from 1981 to 2014, by mathematical statistics, linear fitting, multiple regression methods, and etc., we analyzed the correlation between 1000-grain weight of winter wheat in Linfen and various meteorological data. The results showed that: 1000- grain weight of winter wheat had a good correlation with the accumulated temperature, average temperature, precipitation, average lowest (highest) temperature and relative humidity of mid-May, except the correlation with the mean minimum temperature was significant at the 0.05 level, all the other correlations were significant at 0.01 level. The temperature was negatively correlated with 1000-grain weight, the precipitation and relative humidity were positively correlated with 1000- grain weight. We established a forecasting regression model of 1000- grain weight equation of winter wheat and carried out the fit test, the forecast bias was less than 20%. The study provides a basis for improving wheat cultivation management according to climate condition, and enhancing winter wheat yield forecast.