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Application of MAIAC high spatial resolution aerosol retrievals over Po Valley (Italy)

机译:毛泽高空间分辨率气溶胶检索在PO谷(意大利)的应用

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The Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) data retrieved at 0.55μm with spatial resolutions of 10 km and 1 km AOD have been considered in this work. The 10 km resolution of MODIS AOD product is from the MODIS Collection 5.1 dark target retrieval and the 1 km resolution retrieval is from the new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm. We evaluate ability of these two products to characterize the spatial distribution of aerosols in urban areas through comparison with surface PM_(10) measurements. The Po Valley area (northern Italy) is considered in this study since urban air pollution is an important concern. Population and industrial activities are located in a large number of urban areas distributed within the valley. The 10 km spatial resolution of MODIS AOD product is considered too large for air quality studies at the urban scale. Using MAIAC data at 1 km, we examine the relationship between PM_(10) concentrations, AOD, and AOD normalized by Planetary Boundary Layer (PBL) depths obtained from NCEP global analysis, for year 2012 over the Po Valley. Results show that the MAIAC retrieval provides a high resolution depiction of the AOD within the Po Valley and performs nearly as well in a statistical sense as the standard MODIS retrieval during the time period considered. Results also show that normalization by the analyzed PBL depth to obtain an estimate of the mean boundary layer extinction is needed to capture the seasonal cycle of the observed PM_(10) over the Po Valley.
机译:在这项工作中考虑了在0.55μm的0.55μm下检出的温度分辨率成像光谱辐射器(MODIS)气溶胶光学深度(AOD)数据。 Modis AOD产品的10公里分辨率来自Modis Collection 5.1暗目标检索,1公里分辨率检索是来自大气校正(MAIAC)算法的新多角度实现。我们通过与表面PM_(10)测量的比较来评估这两种产品的能力,以表征城市地区气溶胶的空间分布。浦谷地区(意大利北部)在本研究中考虑,因为城市空气污染是一个重要关注。人口和工业活动位于山谷内分布的大量城市地区。 MODIS AOD产品的10公里空间分辨率被认为太大,用于城市规模的空气质量研究。我们在1公里使用麦阿累累累累累累纳垒数据,我们检查PM_(10)浓度,AOD和AOD之间的关系,由从NCEP全球分析获得的行星边界层(PBL)深度归一化,2012年在PO谷上。结果表明,枫木检索提供了PO谷内的AOD的高分辨率描绘,并且在考虑期间的标准MODIS检索时,几乎在统计学中执行差异。结果还表明,通过分析的PBL深度归一化以获得估计平均​​边界层灭绝的估计,以捕获PO谷上观察到的PM_(10)的季节循环。

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