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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Angular dependence of aerosol information content in CAPI/TanSat observation over land: Effect of polarization and synergy with A-train satellites
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Angular dependence of aerosol information content in CAPI/TanSat observation over land: Effect of polarization and synergy with A-train satellites

机译:土地上的气溶胶信息含量的角度依赖性:陆舰卫星极化与协同作用的影响

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摘要

Aerosols affect the radiative transfer in the absorption bands of carbon dioxide (CO2), thereby contributing to the uncertainties in the retrieval of CO2 from space. A Cloud and Aerosol Polarimetric Imager (CAPI) has been designed to fly on the Chinese Carbon Dioxide Observation Satellite (TanSat) and provide aerosol and cloud information to facilitate the measurements of CO2. This study aims to assess the information content about aerosol properties that can be obtained from CAPI's observations of radiance and polarization. We simulate synthetic CAPI observations using the UNified Linearized Vector Radiative Transfer Model (UNL-VRTM), from which the degree of freedom for signal (DFS) and a posteriori error for various aerosol parameters are calculated using optimal estimation theory. The simulation considers different combinations of fine and coarse aerosols and includes detailed treatment for both soil and vegetation surfaces. It is found that CAPI can provide 3 to 4.5 independent pieces of information about aerosol parameters, mainly related to aerosol total volume (or aerosol optical depth), fine mode fraction (fmf(nu)) of aerosol volume, and imaginary part of refractive index for coarse mode aerosols. At directions around back-scattering, aerosol information content is smaller due in part to the large directional surface reflectance. In addition, aerosol DFS also depends on fmf(nu), aerosol optical depth and solar zenith angle, and such dependence is analyzed for various viewing and azimuth angles. Due to weaker scattering of coarse aerosol, the information content of large particle is relatively less. Therefore, as fmf(nu) decreases, DFS remains large for fine aerosol and increases for coarse aerosol. With larger aerosol optical depth (AOD), more aerosol information content can be obtained, but when AOD increases to a threshold ranging from 0.5 to 1.2, aerosol DFS doesn't increase any more. At larger solar zenith angles (SZA), a longer light path affected by aerosol can slightly increase aerosol information content. Furthermore, the degree of linear polarization (DOLP) is shown to be more sensitive to aerosol properties than reflectance, hence improves CAPI's aerosol retrieval accuracy. The additional information content raised from DOLP measurements ranges from 1 to 1.8 in terms of DFS and reaches the largest in conditions of 0.2
机译:气溶胶影响二氧化碳(CO2)的吸收带中的辐射转移,从而有助于从太空中检索二氧化碳的不确定性。云和气溶胶Polarimetric成像仪(CAPI)设计用于在中国二氧化碳观察卫星(涉及)上飞行,并提供气溶胶和云信息,以便于测量CO2。本研究旨在评估关于气溶胶特性的信息含量,可以从Capi对辐射和极化观察中获得的。我们使用统一的线性化矢量辐射转移模型(UNL-VRTM)来模拟合成CAPI观察,从中使用最佳估计理论计算信号(DFS)的自由度和各种气溶胶参数的后验误差。仿真考虑了细小气溶胶的不同组合,包括对土壤和植被表面的详细处理。结果发现,CAPI可以提供3至4.5个关于气溶胶参数的独立信息,主要与气溶胶总量(或气溶胶光学深度),气溶胶体积的精细模式分数(FMF(NU))和虚部的折射率部分相关用于粗糙模式气溶胶。在背部散射的方向上,由于大方向表面反射率,气溶胶信息含量较小。此外,气溶胶DF也取决于FMF(NU),气溶胶光学深度和太阳能天顶角,并且对各种观察和方位角分析这种依赖性。由于粗气溶胶散射较弱,大颗粒的信息含量相对较少。因此,随着FMF(NU)降低,DFS对于细气溶胶仍然很大,并且粗糙气溶胶增加。具有较大的气溶胶光学深度(AOD),可以获得更多的气溶胶信息含量,但是当AOD增加到0.5至1.2的阈值时,气溶胶DFS不会再增加。在较大的太阳能天性角度(SZA),受气溶胶影响的更长的光路可以略微增加气溶胶信息含量。此外,线性极化程度(DOLP)显示对气溶胶特性比反射率更敏感,因此提高了CAPI的气溶胶检索精度。在DOLP测量中提出的附加信息内容在DFS方面为1至1.8,并且在SZA <60度下达到0.2

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  • 作者单位

    Chinese Acad Sci Inst Atmospher Phys Key Lab Middle Atmosphere &

    Global Environm Obser Beijing 100029 Peoples R China;

    Univ Nebraska Earth &

    Atmospher Sci 303 Bessey Hall Lincoln NE 68588 USA;

    Chinese Acad Sci Inst Atmospher Phys Key Lab Middle Atmosphere &

    Global Environm Obser Beijing 100029 Peoples R China;

    Univ Nebraska Earth &

    Atmospher Sci 303 Bessey Hall Lincoln NE 68588 USA;

    Chinese Acad Sci Inst Atmospher Phys Key Lab Middle Atmosphere &

    Global Environm Obser Beijing 100029 Peoples R China;

    Chinese Acad Sci Inst Atmospher Phys Key Lab Middle Atmosphere &

    Global Environm Obser Beijing 100029 Peoples R China;

    Chinese Acad Sci Changchun Inst Opt Fine Mech &

    Phys Changchun 130033 Peoples R China;

    Univ Edinburgh Sch Geosci Natl Ctr Earth Observat Edinburgh Midlothian Scotland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境监测;一般性问题;地球物理学;
  • 关键词

    CAPI; Aerosol; Information content; Retrieval error; DFS;

    机译:Capi;气溶胶;信息内容;检索错误;DFS;

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