【摘要】 基于MODIS level2的气溶胶产品,分别利用地面气象观测和ECMWF再分析资料进行垂直订正和地面水汽订正,建立MODIS气溶胶光学厚度与地面颗粒物浓度间的关系模型,并分析了颗粒物浓度的时间变化特征。结果表明:（1）MODIS光学厚度与地面PM_2.5和PM₁₀浓度相关性较差,经过垂直订正得到的地面消光系数与PM_2.5和PM₁₀浓度的相关性增强,水汽订正后的干消光系数与PM_2.5和PM₁₀浓度的相关性进一步提高。（2）ECMWF再分析格点数据中边界层厚度和相对湿度产品适用于MODIS光学厚度的垂直订正和水汽订正。（3）利用MODIS光学厚度历史数据反演的合肥市月平均PM_2.5浓度自2000年以来呈震荡增长趋势,PM_2.5浓度冬季较高,春秋次之,夏季最低。更多还原

【Abstract】 Based on aerosol optical depth from MODIS Ievel2 products,the relationship model between aerosol optical depth and particulate matter concentration was established by vertical correction and water vapor correction.The time series of PM_2.5 concentration in Hefei was analyzed as well.Results show that the correlation coefficient of aerosol optical depth and PM concentration is low.However,the correlation coefficient is obviously higher than before through vertical correction and water vapor correction.The boundary layer thickness and relative humidity from ECMWF reanalysis products are suitable for vertical correction and water vapor correction of aerosol optical depth.The month average PM_2.5 concentrations of Hefei by calculating with MODIS aerosol optical depth show a trend of growth shock.PM_2.5 concentration is high in winter,followed in spring and autumn,and the lowest in summer.更多还原