首页> 外文会议>Asian conference on remote sensing;ACRS >RETRIEVAL OF AEROSOL OPTICAL PROPERTIES OVER LAND BASED ON NOAA/AVHRR DATA AND ITS APPLICATION FOR EASTERN CHINA HAZE EVENT IN JANUARY 2013
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RETRIEVAL OF AEROSOL OPTICAL PROPERTIES OVER LAND BASED ON NOAA/AVHRR DATA AND ITS APPLICATION FOR EASTERN CHINA HAZE EVENT IN JANUARY 2013

机译:基于NOAA / AVHRR数据的陆上气溶胶光学特性反演及其在2013年1月中国东部霾事件中的应用

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Due to the important influence of earth radiative and health-related effects, monitoring aerosols using satellite data is important both for the assessment of aerosol optical properties and for its rapid and flexible response to natural hazards. In this paper, Aerosol Optical Depth (AOD) and aerosol type are simultaneously retrieved based on NOAA/AVHRR data, using GOES-R (Geostationary Operational Environmental Satellite) algorithm. With the removal of cloudy pixels from clear and hazy pixels, MODIS MCD43C2 BRDF/Albedo snow-free quality product was processed to AVHRR observation geometries and then input as surface reflectance. Lookup tables were constructed offline utilizing six aerosol types obtained from AERONET ground-based observations. Lastly, AOD and aerosol type were retrieved based on the performance of top-of-atmospheric spectral reflectances of channel 1 and 2. Above algorithm is applied to analyze Eastern China severe haze event in January 2013. We found that AOD increases significantly during haze event and aerosol type tends to be polluted-related. Backward trajectory results from HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory model) show that haze moves mainly in Eastern China and close to the ground, which can partly explain the long duration of this serious haze event.
机译:由于地球辐射和与健康有关的影响的重要影响,使用卫星数据监测气溶胶对于评估气溶胶的光学特性及其对自然灾害的快速灵活的响应都非常重要。在本文中,使用GOES-R(对地静止作战环境卫星)算法,基于NOAA / AVHRR数据同时检索了气溶胶光学深度(AOD)和气溶胶类型。从清晰和朦胧的像素中去除了浑浊的像素后,将MODIS MCD43C2 BRDF / Albedo无雪优质产品加工成AVHRR观测几何形状,然后输入为表面反射率。查找表是使用从AERONET地面观测获得的六种气溶胶类型离线构建的。最后,根据通道1和2的最高光谱反射率的性能,获取了AOD和气溶胶类型。上述算法被用于分析2013年1月中国东部严重霾事件。我们发现,霾事件期间AOD显着增加气溶胶类型往往与污染有关。 HYSPLIT(混合单粒子拉格朗日综合轨迹模型)的向后轨迹结果表明,霾主要在中国东部并靠近地面移动,这可以部分解释这一严重霾事件的持续时间。

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