China Collection 2.0: The aerosol optical depth dataset from the synergetic retrieval of aerosol properties algorithm
China Collection 2.0: The aerosol optical depth dataset from the synergetic retrieval of aerosol properties algorithm
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DOI：
10.1016/j.atmosenv.2014.06.019
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发表时间：
2014-10
影响因子：
5
通讯作者：
Yong Xue;Xingwei He;Hui Xu;J. Guang;Jianping Guo;L. Mei
中科院分区：
文献类型：
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作者：
Yong Xue;Xingwei He;Hui Xu;J. Guang;Jianping Guo;L. Mei
自从 NASA TERRA 和 AQUA 卫星上的中分辨率成像光谱辐射计 (MODIS) 传感器运行以来，已经发布了广泛的数据产品。基于DarkTarget和DeepBlue方法，NASA发布了10公里空间分辨率的气溶胶光学深度（AOD）产品Collection 5.0和Collection 5.1。 Collection 6.0即将发布，空间分辨率为3公里。尽管在全球范围内得到了验证，但 MODIS 检索的 AOD 产品中仍然发现区域和系统错误。这对于明亮的异质陆地表面（例如中国大陆）尤其显着。为了解决异质亮地表气溶胶反演问题，协同利用TERRA和AQUA卫星的MODIS数据，开发了气溶胶属性协同反演算法（SRAP）。利用SRAP算法，我们制作了2002年8月至2012年8月的AOD数据集-China Collection 2.0，并将AOD结果与气溶胶机器人网络（AERONET）和中国气象局气溶胶遥感网络（CARSNET）的测量结果进行了比较。我们发现，与 AERONET 观测值相比，中国收藏 2.0 AOD 值中有 62% 在 ±(0.05 + 20%) 的预期误差 (EE) 范围内，56% 在 ±(0.05 + 15%) 的 EE 范围内。对于 CARSNET 验证，我们发现 60% 的 China Collection 2.0 AOD 值在 ±(0.05 + 20%) 的预期误差 (EE) 范围内，53% 在 ±(0.05 + 15%) 的 EE 范围内。此外，我们还将AOD结果与MODIS气溶胶产品进行了比较，交叉验证表明两者AOD具有良好的一致性。月平均AOD结果显示，3-8月我国东部沿海地区AOD普遍偏高，其他月份AOD不超过0.5。季节平均结果表明，AOD较高值主要分布在华东和华南地区。
A wide range of data products have been published since the operation of the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on NASA's TERRA and AQUA satellites. Based on DarkTarget and DeepBlue method, NASA has published Aerosol Optical Depth (AOD) products Collection 5.0 and Collection 5.1 at 10 km spatial resolution. The Collection 6.0 will be published soon with spatial resolution of 3 km. Although validated globally, regional and systematic errors are still found in the MODIS-retrieved AOD products. This is especially remarkable for bright heterogeneous land surface, such as mainland China. In order to solve the aerosol retrieval problem over heterogeneous bright land surface, the Synergetic Retrieval of Aerosol Properties algorithm (SRAP) has been developed based on the synergetic use of the MODIS data of TERRA and AQUA satellites. Using the SRAP algorithm, we produced AOD dataset-China Collection 2.0, dated from August 2002 to August 2012, and compared the AOD results with AErosol Robotic NETwork (AERONET) and Chinese Meteorological Administration Aerosol Remote Sensing Network (CARSNET) measurements. We find that 62% of China Collection 2.0 AOD values are within an expected error (EE) range of ±(0.05 + 20%) and that 56% are within an EE range of ±(0.05 + 15%) when compared with AERONET-observed values. For CARSNET validation, we find that 60% of China Collection 2.0 AOD values are within an expected error (EE) range of ±(0.05 + 20%) and that 53% are within an EE range of ±(0.05 + 15%). In addition, we also compare the AOD results with MODIS aerosol products, the cross validation shows that the two AOD have good consistency. Monthly averaged AOD results show that AOD is generally high in China's eastern coastal region from March to August, and AOD is not more than 0.5 in other months. Season averaged results show that the higher values of AOD are mostly distributed in eastern and southern China.