基于大气可降水量的AOD模型构建与分析OA

To investigate the correlation between precipitable water vapor(PWV)and aerosol optical depth(AOD),a novel AOD estimation model was developed based on PWV.The model incorporates not only a linear relationship between PWV and AOD but also accounts for the periodic characteristics observed in the residuals of the linear fit.Utilizing high-precision PWV and AOD data from 20 sta-tions in Yunnan from 2016 to 2019,the model was constructed and validated.The results reveal a strong lagged correlation between PWV and AOD in the region,with an average correlation coefficient of 0.82.The proposed model achieved excellent performance in AOD estimation,both in internal and external validations,yielding a mean standard deviation(STD)of 0.11 mm and a root mean square er-ror(RMSE)of 0.12 mm.This model effectively paves the way for estimating high-precision AOD from PWV,thereby opening up new avenues for atmospheric environmental monitoring and research using GNSS remote sensing.