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首页> 外文期刊>Atmospheric chemistry and physics >Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns
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Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns

机译：使用ATSR-2，AATSR和MODIS / TERTA在中国大陆AOD的二十年卫星观测：数据集评估和大规模模式

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The retrieval of aerosol properties from satellite observations provides their spatial distribution over a wide area in cloud-free conditions. As such, they complement ground-based measurements by providing information over sparsely instrumented areas, albeit that significant differences may exist in both the type of information obtained and the temporal information from satellite and ground-based observations. In this paper, information from different types of satellite-based instruments is used to provide a 3-D climatology of aerosol properties over mainland China, i.e., vertical profiles of extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), a lidar flying aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite and the column-integrated extinction (aerosol optical depth – AOD) available from three radiometers: the European Space Agency (ESA)'s Along-Track Scanning Radiometer version 2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR) (together referred to as ATSR) and NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite, together spanning the period 1995–2015. AOD data are retrieved from ATSR using the ATSR dual view (ADV) v2.31 algorithm, while for MODIS Collection?6 (C6) the AOD data set is used that was obtained from merging the AODs obtained from the dark target (DT) and deep blue (DB) algorithms, further referred to as the DTDB merged AOD product. These data sets are validated and differences are compared using Aerosol Robotic Network (AERONET) version?2 L2.0 AOD data as reference. The results show that, over China, ATSR slightly underestimates the AOD and MODIS slightly overestimates the AOD. Consequently, ATSR AOD is overall lower than that from MODIS, and the difference increases with increasing AOD. The comparison also shows that neither of the ATSR and MODIS AOD data sets is better than the other one everywhere. However, ATSR ADV has limitations over bright surfaces which the MODIS DB was designed for. To allow for comparison of MODIS C6 results with previous analyses where MODIS Collection 5.1 (C5.1) data were used, also the difference between the C6 and C5.1 merged DTDB data sets from MODIS/Terra over China is briefly discussed. brbr The AOD data sets show strong seasonal differences and the seasonal features vary with latitude and longitude across China. Two-decadal AOD time series, averaged over all of mainland China, are presented and briefly discussed. Using the 17?years of ATSR data as the basis and MODIS/Terra to follow the temporal evolution in recent years when the environmental satellite Envisat was lost requires a comparison of the data sets for the overlapping period to show their complementarity. ATSR precedes the MODIS time series between 1995 and 2000 and shows a distinct increase in the AOD over this period. The two data series show similar variations during the overlapping period between 2000 and 2011, with minima and maxima in the same years. MODIS extends this time series beyond the end of the Envisat period in 2012, showing decreasing AOD.
机译：从卫星观察结果中检索气溶胶性质在无云条件下的广域地区提供空间分布。因此，它们通过在稀疏仪表区域提供的信息来补充基于地基测量，尽管在获得的信息类型和来自卫星和地面观测的时间信息中可能存在显着差异。在本文中，使用来自不同类型的卫星仪器的信息用于提供在中国大陆的气溶胶特性的3D气候学，即来自云 - 气溶胶激光器的消光系数垂直曲线，具有正交极化（卡利普），a Lidar飞行船云雾激光乐队和红外线探险卫星观测（Calipso）卫星和三辐射仪（Aerosol光学深度和Ndash; Aod）提供的卫星和红外线探测器卫星观测：欧洲空间局（ESA）沿着轨道扫描辐射计版本2（ATSR-2），高级轨道扫描辐射计（AATSR）（一起被称为ATSR）和NASA的适度分辨率成像光谱仪（MODIS），在Terra Satellite中，一起跨越1995年和Ndash; 2015。使用ATSR双视图（ADV）V2.31算法从ATSR检索AOD数据，而对于MODIS集合？6（C6），使用AOD数据集以合并从黑暗目标（DT）获得的AODS获得深蓝色（DB）算法，进一步称为DTDB合并AOD产品。这些数据集是验证的，使用气溶机器机器人网络（AERONET）版本（AERONET）版本2 L2.0 AOD数据作为参考来进行差异。结果表明，在中国，ATSR略微低估AOD和MODIS略微高估AOD。因此，ATSR AOD总体地低于MODIS，并且随着AOD的增加而增加。比较还表明，ATSR和MODIS AOD数据集中都不比其他地方更好。但是，ATSR ADV对Modis DB设计的亮表面有局限性。为了允许使用先前分析的MODIS C6结果，其中使用了MODIS Collection 5.1（C5.1）数据，简要讨论了C6和C5.1之间的C6和C5.1之间的差异与中国的MODIS / Terra合并了DTDB数据集。 AOD数据集显示出强烈的季节性差异，季节性功能随着中国的纬度和经度而异。两位二世奥德AOD时间序列，在中国大陆的平均，并介绍并简要讨论过。使用17年的ATSR数据作为基础和MODIS / TERTA，近年来当环境卫星envisat丢失时需要比较重叠时期的数据集以显示它们的互补性。 ATSR先于1995年至2000年间的MODIS时间序列之前，在此期间显示了AOD中的明显增加。两种数据系列在2000年至2011年之间的重叠期间显示出类似的变化，同时具有最小值和最大值。 MODIS将此时间序列扩展到2012年Envisat期间结束时，显示AOD。

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