Based on temperature, natural precipitation and sunshine time, the suitability degree of meteorological factors in wheat growing stage were analyzed. It can provide theoretical foundation for the quantitative evaluation of crop climate. Based on fuzzy mathematics theory, the membership function model of temperature, precipitation and sunshine time for wheat were established and calculated to estimate the climatic suitability to wheat quantitatively. The meteorological factors during growth and development of wheat in 2008, 2009 and multi-annual average climatic data were calculated. The results indicated that the suitability degree for the temperature was relative high except in the reproductive growth phase, the suitability degree for the sunshine was relative high in whole growing stage, but for the precipitation was low with large variable extents. These explained that the sunshine was able to satisfy the growth and development of wheat. The lack of the natural precipitation and lower temperature in the reproductive growth phase were limited factors for the formation of the wheat yield. Dynamic model for crop climatic suitability degree based on fuzzy mathematics theory can objective reflect the suitability degree of meteorological factors for crop growth, and it can provide the basis for the improvement of weather service quality.