气溶胶光学深度(AOD)是评估大气气溶胶负荷及其对气候影响的重要指标,空气质量,和公共卫生。在这项研究中,哥白尼大气监测服务(CAMS)的AOD数据与整个东地中海的气溶胶机器人网络(AERONET)的地面测量结果进行了验证,以不同气溶胶类型和来源为特征的区域。对550nm处的3小时CAMSAOD值与塞浦路斯20个AERONET站的观测值进行了比较分析,希腊,以色列,埃及,土耳其从2003年到2021年。CAMSAOD数据与AERONETAOD数据具有良好的总体一致性,皮尔逊相关系数为0.77,平均绝对误差(MAE)为0.08,均方根误差(RMSE)为0.11。尽管如此,在CAMSAOD数据性能中观察到时空变化,特定地点的相关系数在0.57到0.85之间,埃及的相关性最低,希腊的相关性最高。在AOD水平较高的内陆站点发现了CAMSAOD的低估,而在AOD水平较低的沿海站点观察到更好的协议。昼夜变化分析表明,下午和晚上的CAMS再分析性能有所提高。季节性,CAMS再分析显示,春季和秋季与AERONETAOD的一致性更好,在夏季和冬季注意到较低的相关系数。这项研究标志着CAMSAOD性能在东地中海地区的首次全面验证,为区域空气质量和气候建模提供了显着增强,并强调了在这种复杂和动态的地理环境中,一致验证在完善气溶胶估计中的重要作用。
Aerosol optical depth (AOD) is an essential metric for evaluating the atmospheric aerosol load and its impacts on climate, air quality, and public health. In this study, the AOD data from the Copernicus Atmosphere Monitoring Service (CAMS) were validated against ground-based measurements from the Aerosol Robotic Network (
AERONET) throughout the Eastern Mediterranean, a region characterized by diverse aerosol types and sources. A comparative analysis was performed on 3-hourly CAMS AOD values at 550 nm against observations from 20
AERONET stations across Cyprus, Greece, Israel, Egypt, and Turkey from 2003 to 2021. The CAMS AOD data exhibited a good overall agreement with
AERONET AOD data, demonstrated by a Pearson correlation coefficient of 0.77, a mean absolute error (MAE) of 0.08, and a root mean square error (RMSE) of 0.11. Nonetheless, spatial and temporal variations were observed in the CAMS AOD data performance, with site-specific correlation coefficients ranging from 0.57 to 0.85, the lowest correlations occurring in Egypt and the highest in Greece. An underestimation of CAMS AOD was noted at inland sites with high AOD levels, while a better agreement was observed at coastal sites with lower AOD levels. The diurnal variation analysis indicated improved CAMS reanalysis performance during the afternoon and evening hours. Seasonally, CAMS reanalysis showed better agreement with
AERONET AODs in spring and autumn, with lower correlation coefficients noted in summer and winter. This study marks the first comprehensive validation of CAMS AOD performance in the Eastern Mediterranean, offering significant enhancements for regional air quality and climate modeling, and underscores the essential role of consistent validation in refining aerosol estimations within this complex and dynamic geographic setting.