Abstract: The paper aims to find the relationship between the quality of big leaf tea and the climatic conditions, and offer a technological support for undertaking climate quality evaluation of large leaf tea. The microclimatic data by parallel observation method of 19 tea gardens in the main Pu’er tea production area was applied to clarify the climate quality evaluation factors and indexes of big leaf tea, and establish single factor fitness models and climate quality indexes using correlation analysis and fuzzy math methods. The results showed that there were significantly negative correlation between the average temperature in the big leaf tea plant growing season and caffeine content, and between the relative humidity and amino acid content. Combined with physiologic characters of the big leaf tea plant, the evaluation indexes were determined, single meteorological element and the comprehensive fitness models were established. The verification accuracy of the evaluation method was 84% in the researching area.