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Retrieval of the aerosol asymmetry factor from Sun-sky radiometer measurements: application to almucantar geometry and accuracy assessment

机译:从Sun-Sky辐射计测量中检索气溶胶不对称因子:应用于Almucantar几何和准确性评估

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摘要

The Devaux-Vermeulen-Li (DVL) method is a simple method that directly retrieves aerosol optical parameters based on single-wavelength solar-sky radiation observations, without the assumption of aerosol microphysical properties. Inheriting the previous retrieval of single-scattering albedo (SSA) and scattering phase function, the DVL method is modified to derive the aerosol asymmetric factor (g) parameter. Interpolation methods were proposed to estimate the phase function over the extreme forward and backward scattering regions where instrumental observations are missing; thus, g could be derived from the phase function over the entire scattering angle region. To evaluate the g accuracy from the DVL algorithm, especially for non-spherical aerosols, synthetic retrieval with typical aerosol models (water-soluble, biomass burning, dust-sphericity, and dust-spheroid models) and retrievals from AERONET observations (Beijing site, from January 2011 to March 2015) were implemented at four wavelengths (440, 675, 870, and 1020 nm). The numerical experiments showed that DVL retrieves g with errors less than +/- 0.02 under "error-free" conditions. When measurement uncertainties were present, all g errors were within +/- 0.03, except for the angular pointing error for the coarse mode-dominated dust-sphericity/spheroid aerosols. Most importantly, g retrievals were not sensitive to the aerosol optical depth (AOD) and sky radiance errors, which are important influencing factors for SSA retrieval. Comparison of DVL retrievals with AERONET version 2 level 2.0 products [with AOD (440 nm) 0.2] shows that the DVL g was well correlated with that of AERONET, especially for the 675, 870, and 1020 nm bands, with root mean square deviations (RMSDs) smaller than 0.02 and absolute values of mean bias deviation smaller than 0.01. Relatively larger deviations occurred at the 440 nm band, where g values were underestimated by approximately 0.03 compared to those of AERONET, with a higher RMSD of approximately 0.035. Both the synthetic retrieval and comparison with AERONET indicated that the algorithm performance for large, non-spherical particles is comparable to that of other spherical aerosol particles in retrieving g. (C) 2017 Optical Society of America
机译:Devaux-vereulen-Li(DVL)方法是一种简单的方法,即基于单波长太阳能辐射观察直接检索气溶胶光学参数,而无需假设气溶胶微手术性质。继承先前检索单散射反玻璃(SSA)和散射相位功能,修改了DVL方法以导出气溶胶不对称因子(G)参数。提出插值方法来估计缺少仪器观测的极端前向和后向散射区域的相位功能;因此,G可以从整个散射角区域上的相位函数导出。为了评估来自DVL算法的G精度,特别是对于非球形气溶胶,具有典型气溶胶模型的合成检索(水溶性,生物质燃烧,粉尘 - 球形和灰尘 - 球形模型)以及来自Aeroonet观测的检索(北京网站,从2011年1月到2015年3月)在四个波长(440,675,870和1020nm)中实施。数值实验表明,DVL在“无差错”条件下的误差低于+/- 0.02。当存在测量不确定因素时,所有G误差都在+/- 0.03内,除了粗模式主导的粉尘球体/球状气溶胶的角度指向误差。最重要的是,G检索对气溶胶光学深度(AOD)和天空辐射误差不敏感,这是SSA检索的重要影响因素。使用AERONET版2级2.0产品[AOD(440 nm)& 0.2]显示DVL G与机AERONET的良好相关,特别是对于675,870和1020nm频带,具有小于0.02的根均方偏差(RMSDS)和小于0.01的平均偏差偏差的绝对值。在440nm波段发生比较较大的偏差,其中G值与AeroNet相比大约0.03次低估,具有较高的RMSD约0.035。合成检索和与AERONET的比较表明,大型非球形颗粒的算法性能与检索G中的其他球形气溶胶颗粒的算法性能相当。 (c)2017年光学学会

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  • 来源
    《Applied optics》 |2017年第36期|共9页
  • 作者单位

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Univ Lille 1 Lab Opt Atmospher F-59655 Villeneuve Dascq France;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Remote Sensing &

    Digital Earth State Environm Protect Key Lab Satellite Remote S Beijing 100101 Peoples R China;

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