Aerosols are an important contributor to global atmospheric environmental changes and have critical effects on the global climate system and human health. Central Asia is one of the most important sources of dust aerosols in the world and produces a significant portion of global aerosols. Central Asia is also a scarce aerosol-data area, so it is of great significance to obtain and verify new aerosol data from this region. In this study, based on the aerosol optical depth (AOD) data from remote sensing (MYD04_L2) and ground-based observations (AERONET and Microtops II), the applicability of multiangle implementation of atmospheric correction (MAIAC) AOD in Central Asia was comprehensively analyzed, and the variation in AOD in Central Asia over the last 20 years was analyzed by the information entropy method. The results indicate that MAIAC AOD has good application prospects in Central Asia and can effectively compensate for the lack of observational data from Central Asia. MAIAC AOD exhibits excellent spatiotemporal consistency with MYD04 deep blue (DB) AOD and has a better ability than MYD04 DB AOD to describe local fine-scale features. Furthermore, MAIAC AOD demonstrates high consistency with ground-based AOD observations, showing high R (0.737) and low RMSE (0.067) values and having 65.2% of samples falling within the expected error (EE) envelope. When employing the ground-based AOD observations as a bridge, MAIAC exhibits superiority to MYD04 DB in both the richness number of valid high-quality retrievals and the retrieval accuracy of various evaluation indicators. The annual variation in AOD in Central Asia exhibits a unimodal distribution, with AOD being largest in April, followed by March and May, and comparable rangeability. Based on information entropy, interannual variation in AOD exists in most areas of Central Asia, with AOD in the Taklimakan Desert area being significantly increased and that in northern Central Asia (Kazakhstan) showing a downward trend.

气溶胶是导致全球大气环境变化的重要因素，并且对全球气候系统和人类健康具有关键影响。中亚是世界上最重要的粉尘气溶胶来源之一，占全球气溶胶的很大一部分。中亚地区也是一个稀疏的气溶胶数据区域，因此从该地区获取和验证新的气溶胶数据具有重要意义。在这项研究中，根据遥感（MYD04_L2）和地面观测（AERONET和Microtops II）的气溶胶光学深度（AOD）数据，全面分析了多角度实施大气校正（MAIAC）AOD在中亚的适用性，并通过信息熵方法分析了过去20年中亚地区AOD的变化。结果表明，MAIAC AOD在中亚地区具有良好的应用前景，可以有效弥补中亚缺乏观测资料。MAIAC AOD与MYD04深蓝色（DB）AOD表现出极好的时空一致性，并且比MYD04 DB AOD具有更好的描述局部精细尺度特征的能力。此外，MAIAC AOD与地面AOD观测值显示出高度一致性，显示出高R（0.737）和低RMSE（0.067）值，并且65.2％的样本落在预期误差（EE）范围内。当使用地面AOD观测结果作为桥梁时，MAIAC在有效的高质量检索的丰富数量和各种评估指标的检索准确性上均优于MYD04 DB。中亚地区AOD的年度变化呈现出单峰分布，AOD在4月最大，其次是3月和5月，并且具有相当的可变性。根据信息熵，中亚大部分地区的AOD都存在年际变化，塔克拉玛干沙漠地区的AOD显着增加，中亚北部（哈萨克斯坦）的AOD呈下降趋势。