Satellite data of aerosol optical depths (AODs) from the moderate resolution imaging spectroradiometer (MODIS) and carbon monoxide (CO) columns from the measurements of pollution in the troposphere (MOPITT) were collected for the study in Northern Thailand. Comparative analyses were conducted of MODIS (Terra and Aqua) AODs with ground particulate matter with diameter below 10 microns (PM₁₀) concentrations and MOPITT CO surface/total columns with ground CO concentrations for 2014–2017. Temporal variations in both the satellite and ground datasets were in good agreement. High levels of air pollutants were common during March–April. The annual analysis of both satellite and ground datasets revealed the highest levels of air pollutants in 2016 and the lowest levels in 2017. The AODs and PM₁₀ concentrations were at higher levels in the morning than in the afternoon. The comparison between satellite products showed that AODs correlated better with the CO total columns than the CO surface columns. The regression analysis presented better performance of Aqua AODs-PM₁₀ than Terra AODs-PM₁₀ with correlation coefficients (r) of 0.72–0.83 and 0.57–0.79, respectively. Ground CO concentrations correlated better with MOPITT CO surface columns (r = 0.65–0.73) than with CO total columns (r = 0.56–0.72). The r values of satellite and ground datasets were greatest when the analysis was restricted to November–March (dry weather periods with possible low mixing height (MH)). Overall, the results suggested that the relationships between satellite and ground data can be used to develop predictive models for ground PM₁₀ and CO in northern Thailand, particularly during air pollution episodes located where ground monitoring stations are limited.

中文翻译：

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卫星测量的气溶胶光学深度和一氧化碳，并与地面数据进行比较。

收集了来自中分辨率成像光谱仪（MODIS）和对流层污染测量（MOPITT）的一氧化碳（CO）列的气溶胶光学深度（AOD）卫星数据，用于泰国北部的研究。对2014–2017年采用直径小于10微米（PM ₁₀）的地面颗粒物的MODIS（Terra和Aqua）AOD和采用地面CO浓度的MOPITT CO表面/总柱进行了比较分析。卫星和地面数据集的时间变化都很好。在三月至四月期间，空气污染物含量较高。对卫星和地面数据集的年度分析显示，2016年的空气污染物最高水平，而2017年的水平最低。AOD和PM ₁₀早晨的浓度高于下午的浓度。卫星产品之间的比较表明，AOD与CO总色谱柱的相关性比CO表面色谱柱的相关性更好。回归分析显示，Aqua AODs-PM _10的性能优于Terra AODs-PM ₁₀，相关系数（r）分别为0.72-0.83和0.57-0.79。地面CO浓度与MOPITT CO表面色谱柱（r = 0.65-0.73）的相关性比与CO总色谱柱（r = 0.56-0.72）更好。在[R当分析仅限于11月至3月（干旱天气期间，混合高度（MH）可能较低）时，卫星和地面数据集的最大值最大。总体而言，结果表明，卫星和地面数据之间的关系可用于开发泰国北部地面PM ₁₀和CO的预测模型，尤其是在地面监测站位置有限的空气污染事件期间。