首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance
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Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance

机译:第二代运算算法:中分辨率成像光谱仪的光谱反射率反演,反演陆地上的气溶胶特性

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摘要

Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from Moderate Resolution Imaging Spectroradiometer (MODIS) observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the surface reflectance assumptions, the set of aerosol model optical properties, and the aerosol lookup table (LUT). This second-generation operational algorithm performs a simultaneous inversion of two visible (0.47 and 0.66 μm) and one shortwave-IR (2.12 μm) channel, making use of the coarse aerosol information content contained in the 2.12 μm channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (τ) at 0.55 μm, the nondust or fine weighting (η), and the surface reflectance at 2.12 μm. Retrievals of small-magnitude negative τ values (down to ?0.05) are considered valid, thus balancing the statistics of τ in near zero τ conditions. Preliminary validation of this algorithm shows much improved retrievals of τ, where the MODIS/Aerosol Robotic Network τ (at 0.55 μm) regression has an equation of: y = 1.01x + 0.03, R = 0.90. Global mean τ for the test bed is reduced from ~0.28 to ~0.21.
机译:自2000年初首次亮起以来,已经通过中分辨率成像光谱仪(MODIS)观测到的光谱反射率对陆地上的气溶胶特性进行了全球可操作的定量检索。这些产品已经过不断评估和验证,并指出了改进的机会。我们已经替换了表面反射率假设,气溶胶模型光学特性集和气溶胶查找表(LUT)。此第二代运算算法利用两个包含在2.12μm通道中的粗颗粒气溶胶信息,同时反转两个可见光(0.47和0.66μm)和一个短波IR(2.12μm)通道。三个通道的反演产生三个几乎独立的参数,气溶胶光学深度(τ)为0.55μm,无尘或精细权重(η),表面反射率为2.12μm。小幅度负τ值(低至?0.05)的检索被认为是有效的,因此可以在接近零τ的条件下平衡τ的统计量。该算法的初步验证显示,τ的取回得到了极大改进,其中MODIS / Aerosol机器人网络τ(在0.55μm处)的回归方程为:y = 1.01x + 0.03,R = 0.90。试验床的总体平均τ从〜0.28降低到〜0.21。

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