Abstract: In order to investigate the main meteorological factors of high temperature damage to tobacco leaves and detemine the degree of occurrence of high temperature damage to tobacco leaves, the relationship between the meteorological indexes and the quality of high temperature damage to tobacco leaves from mid-June to early July in Fuzhou, Jiangxi Province during 2014-2016, were analyzed by using the principal component regression analysis. The assessment grade model of high temperature damage to tobacco leaves was established and verified by the component regression analysis testing. The results showed that the main impact meteorological factors were the maximum temperature, the increasing extent of temperature during heat damage, the solar radiation, and the duration of high temperature. The three grades of evaluation index system for high temperature damage tobacco leaf:0.75 ≤ DHI<0.97, grade 1, mild heat damage; 0.97 ≤ DHI<1.13, grade 2, moderate heat damage; DHI ≥ 1.13, Grades 3, severe heat damage. The model evaluation results had a negative correlation with the score of tobacco leaves quality, and the correlation coefficient was-0.93, which passed the significant test at 1% level. The accuracy achieved up to 83.3%. The results can provide scientific basis for monitoring, warning and risk assessment of high temperature damage to tobacco leaves.