相关函数的分析表明,黄陵地区树轮早材最小密度与6月份气温及4～6月份降水显著相关,其相关系数分别为 0.616(α=0.0001)和-0.662(α=0.0001).在此基础上,将早材最小密度指标与稳定C同位素指标采用第一主分量法合并,较精确地重建了黄陵地区6月气温,重建值的解释方差达45%.同时以早材最小密度重建了该区4～6月降水,解释方差达49%.并提出,6月份气温实质上指示了东亚夏季风前锋到达此地时间上的早晚. Correlation analysis showed that the minimum density of early tree timber rotation in Huangling was significantly correlated with the June air temperature and the precipitation from April to June, with correlation coefficients of 0.616 (α = 0.0001) and -0.662 (α = 0.0001), respectively On the basis of the first principal component method, the minimum density index of earlywood and the stable C isotope index are combined to accurately reconstruct the June temperature in Huangling region, and the interpretation variance of the reconstructed value reaches 45% .At the same time, The precipitation from April to June in this area accounts for 49% of the variance, and suggested that the temperature in June essentially indicated the time of arrival of the East Asian summer monsoon striker in time.