The normalized sunshine hours, effective accumulative temperature and normalized precipitation are calculated by use of daily meteorological data, yields of winter wheat and physiological meteorological indicators of winter wheat of its growth period. Based on path analysis, the contribution ratios of sunshine, temperature and precipitation to winter wheat meteorological yield are calculated, respectively. The influence coefficients, which reflect the impact of dekadly sunshine hours, effective accumulative temperature and normalized precipitation on winter wheat yield, are obtained by means of integration regression method, thus a quantitative estimation model for meteorological factors' influences on winter wheat yield is established. The example analysis indicates that the above influence coefficients of meteorological factors, calculated by use of the path analysis and the integral regression, can precisely reflect the relationship between the growth course of winter wheat and the meteorological conditions. The evaluation model can quantitatively estimate the effects of meteorological factors on the yield of winter wheat in the entire growth period, so that it is of higher scientificity and accuracy. The technique lines of the quantitative evaluating of meteorological factors provides a favorable technique foundation for developing related operational service.