Superczynski Stephen D, Kondragunta Shobha, Lyapustin Alexei I
Systems Research Group Inc., NOAA/NESDIS/STAR, College Park, Maryland.
NOAA/NESDIS/STAR, College Park, Maryland.
J Geophys Res Atmos. 2017 Mar 16;122(5):3005-3022. doi: 10.1002/2016JD025720. Epub 2017 Jan 29.
The Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm is under evaluation for use in conjunction with the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission. Column aerosol optical thickness (AOT) data from MAIAC are compared against corresponding data from the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument over North America during 2013. Product coverage and retrieval strategy, along with regional variations in AOT through comparison of both matched and un-matched seasonally gridded data are reviewed. MAIAC shows extended coverage over parts of the continent when compared to VIIRS, owing to its pixel selection process and ability to retrieve aerosol information over brighter surfaces. To estimate data accuracy, both products are compared with AERONET Level 2 measurements to determine the amount of error present and discover if there is any dependency on viewing geometry and/or surface characteristics. Results suggest that MAIAC performs well over this region with a relatively small bias of -0.01; however there is a tendency for greater negative biases over bright surfaces and at larger scattering angles. Additional analysis over an expanded area and longer time period are likely needed to determine a comprehensive assessment of the products capability over the Western Hemisphere.
大气校正多角度实现(MAIAC)算法正在接受评估,以用于与地球静止海岸和空气污染事件(GEO-CAPE)任务相结合。2013年期间,将MAIAC的柱气溶胶光学厚度(AOT)数据与北美地区可见光红外成像辐射仪套件(VIIRS)仪器的相应数据进行了比较。通过比较匹配和不匹配的季节性网格化数据,回顾了产品覆盖范围和反演策略,以及AOT的区域变化。与VIIRS相比,MAIAC在该大陆部分地区显示出更广泛的覆盖范围,这归因于其像素选择过程以及在较亮表面上反演气溶胶信息的能力。为了估计数据准确性,将这两种产品与AERONET二级测量数据进行比较,以确定存在的误差量,并发现是否存在对观测几何和/或表面特征的任何依赖性。结果表明,MAIAC在该区域表现良好,偏差相对较小,为-0.01;然而,在较亮表面和较大散射角处存在更大负偏差的趋势。可能需要在更大区域和更长时间段内进行额外分析,以全面评估这些产品在西半球的能力。