Abstract Aerosols and cloud interaction remains highly important in the climatic process and its validation with space-based Ozone Monitoring Instrument (OMI) and ground-based observation of Aeronet Robotic Network (AERONET) is therefore essential. OMI and AERONET AODs was logrithmically subset and variations observed in both instruments show spatio-temporal quality of being more noticeable, which could lead to changes in the microphysical scale of clouds and instrumental biases. In this study, we have examined the spatio-temporal OMI AODs variations over Banizoumbou and validated results using AERONET AOD, precipitable water and cloud fraction data from Moderate Resolution Imaging Spectroradiometer (MODIS) from the period between 2014 and 2018. Additionally, estimated the absolute mean bias values of both AODs, correlating the results and performing the mean and standard deviation analysis. To validate instrumental error in retrieving AOD values, we calculated the root mean square error (RMSE) and mean absolute error (MAE) with standard error of measurements and perform 7 day kinematic back trajectories at various initial pressures to estimate zonal and meridional jet winds. Additionally, the seasonal loading of aerosols from the Dust Surface Mass Concentration shows aerosols masking cloud. The results show that winter season has period of good AODs agreement and the absolute bias error and its standard deviation for OMI and AERONET AODs is 0.216 ± 0.08. The correlation results obtained with cloud and precipitable water are 0.51, 0.32 and 0.20, −0.18 which show high monsoon AOD dominance the desert. It could be concluded that instrumental performance has spatio-temporal bias.

中文翻译：

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使用 AERONET 数据验证 Banizoumbou 上气溶胶-云相互作用的 OMI 季节性和时空变化

摘要 气溶胶和云的相互作用在气候过程中仍然非常重要，因此使用天基臭氧监测仪 (OMI) 和航空机器人网络 (AERONET) 的地面观测对其进行验证是必不可少的。OMI 和 AERONET AOD 是对数子集，在两种仪器中观察到的变化显示出更明显的时空质量，这可能导致云的微物理尺度和仪器偏差的变化。在这项研究中，我们检查了 Banizoumbou 上的 OMI AOD 时空变化，并使用 AERONET AOD、中分辨率成像光谱仪 (MODIS) 2014 年至 2018 年期间的可降水量和云分数数据验证了结果。此外，估计了绝对值两个 AOD 的平均偏差值，关联结果并执行平均值和标准偏差分析。为了验证检索 AOD 值时的仪器误差，我们计算了均方根误差 (RMSE) 和平均绝对误差 (MAE) 以及测量的标准误差，并在各种初始压力下执行 7 天运动学反向轨迹以估计纬向和经向急流。此外，来自灰尘表面质量浓度的气溶胶季节性负荷显示气溶胶掩盖了云。结果表明，冬季具有良好的 AOD 一致性时期，OMI 和 AERONET AOD 的绝对偏差及其标准偏差为 0.216 ± 0.08。与云和可降水获得的相关结果为 0.51、0.32 和 0.20、-0.18，表明沙漠中季风 AOD 占优势。