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Simplified and Fast Atmospheric Radiative Transfer model for satellite-based aerosol optical depth retrieval

机译:基于卫星气溶胶光学深度检索的简化和快速的大气散热转移模型

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摘要

Satellite-based aerosol optical depth (AOD) retrieval over land remains a considerable challenge when high temporal and spatial resolutions are required. This paper presents the Simplified and Fast Atmospheric Radiative Transfer (SFART) model for direct calculation of satellite AOD via analytical equations rather than the lookup table (LUT) approach. The SFART model considers the impact of both Rayleigh and aerosol multiple scattering. A comprehensive comparison with the Simplified Method for Atmospheric Correction (SMAC) and single scattering approximation method is conducted. In validation with 6S, good atmospheric reflectance (Rayleigh thorn aerosol) accuracy is achieved by SFART, with approximately 69% of the data falling within the 5% estimated error (EE) envelope at both 440 and 640 nm. This is higher than the SMAC accuracy (within 5% EE: 42.83% and 39.91% at 440 and 640 nm, respectively) and is a tremendous improvement over the single scattering approximation method (within 5% EE: 15.67% and 20.5% at 440 and 640 nm, respectively). SFART is then applied for AOD retrieval to Himawari-8 satellite data over the North China Plain on both normal and hazy days. The retrieved AOD values are validated against collected AERONET data (Version 3, Level 2.0). Approximately 59% of the SFART AOD values fall within the EE bounds of +/-(0.05 + 15%) with a root mean squared error of 0.22 (for 339 collocations). The promising results given by SFART indicate that this method can facilitate improved AOD calculation using empirical or real-time aerosol models in an efficient and flexible manner.
机译:当需要高时和空间分辨率时,卫星的气溶胶光学深度(AOD)仍然是一个相当大的挑战。本文介绍了通过分析方程直接计算卫星AOD的简化和快速的大气辐射转移(SFART)模型,而不是查找表(LUT)方法。 SFART模型考虑了瑞利和气溶胶多次散射的影响。进行了与大气校正(SMAC)和单散射近似法的简化方法进行全面比较。在验证6S中,SFART实现了良好的大气反射率(瑞利刺气溶胶)精度,大约69%的数据落在440和640nm的5%估计误差(EE)信封内。这高于SMAC精度(分别为440和640nm的5%:42.83%和39.91%),并且对单次散射近似法(在5%EE中的5%:15.67%和440内)的巨大改进和640 nm分别)。然后在正常和朦胧的日子将SFART在华北平原上应用于Himawari-8卫星数据的AOD检索。检索到的AOD值针对收集的AeroNet数据(3级,2.0级)验证。大约59%的SFART AOD值落在+/-(0.05 + 15%)的EE界限内,具有0.22(339个搭配)的根均平方误差。 SFART给出的有希望的结果表明,该方法可以以高效且灵活的方式使用经验或实时气溶胶模型来促进AOD计算。

著录项

  • 来源
    《Atmospheric environment》 |2020年第3期|117362.1-117362.12|共12页
  • 作者单位

    Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;

    San Diego State Univ Dept Geog 5500 Campanile Dr San Diego CA 92182 USA;

    Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;

    Beijing Normal Univ Coll Global Change & Earth Syst Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China;

    Capital Normal Univ Coll Resource Environm & Tourism Beijing 100048 Peoples R China;

    Hong Kong Polytech Univ Dept Land Surveying & Geoinformat Hong Kong Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AOD; Himawari-8; AERONET; SMAC;

    机译:AO D;向日葵8;AOORINE T;S MA C.;

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