石榴生长过程中的气候条件对其果实品质具有重大影响，因而本研究利用2005—2018年枣庄石榴品质资料以及同时期气象监测资料，依据前人研究成果和专家知识，选取决定枣庄石榴品质优劣的单果重、百粒重、可溶性固形物作为表征石榴果实品质的指标，并利用相关分析法筛选出影响各品质指标的主要气象因子，然后采用逐步回归法建立各品质指标与相应气象因子间的关系；利用层次分析法确定各品质指标的权重，建立枣庄石榴的气候品质综合评价指数模型，并基于综合评价指数的大小划分等级，用于估测枣庄石榴的整体品质。结果表明，枣庄石榴气候品质主要与生长期6月和成熟期9、10月旬尺度的光、温、湿有关，与气温、空气湿度和日照多呈正相关，尤其果实发育后期的气温日较差对果实营养品质的影响最大，但与降水的相关性则随着果实生长阶段不同而有正负差别。利用2019、2020年的数据对所建立的石榴气候品质综合评价模型进行验证，等级划分结果与根据实测品质指标所得结果一致，表明可以利用该模型估测当年枣庄石榴的整体品质。

In the process of growth and development of pomegranate, environmental meteorological conditions have significant impacts on its fruit quality. Therefore, this study was conducted with the quality data of Zaozhuang pomegranate from 2005 to 2018 and the meteorological monitoring data in the same period. Based on the previous relevant research results and expert knowledge, the single fruit weight, 100-grain weight and soluble solids were selected to represent the pomegranate quality, and the main meteorological factors affecting each quality factor were screened out by correlation analysis, then their relationships were established by stepwise regression method. The weightiness of each quality character was determined by analytic hierarchy process method, and then the comprehensive climate quality evaluation model was established. The climate quality grades was divided based on the comprehensive evaluate index for estimating the whole quality of Zaozhuang pomefranate. The results showed that the climatic quality of Zaozhuang pomegranate was mainly correlated with light, temperature and humidity of June, September and October at ten-day scale. It was mostly positively correlated with the air temperature, humidity and light, especially the diurnal temperature range at the later stage of fruit growth, but its correlation with precipatation was different with the change of fruit growth stages. The data of 2019 and 2020 were used to verify the established Zaozhuang pomegranate climate quality evaluation model, and the results showed that the divided grades were same with those obtained according to measured quality characters, which indicated that we could use this model to estimate the pomegranate quality of the year before picking.