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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Multiangle Imaging SpectroRadiometer global aerosol productassessment by comparison with the Aerosol Robotic Network
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Multiangle Imaging SpectroRadiometer global aerosol productassessment by comparison with the Aerosol Robotic Network

机译:通过与Aerosol机器人网络进行比较,对多角度成像SpectroRadiometer进行了全球气溶胶产品评估

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A statistical approach is used to assess the quality of the Multiangle ImagingSpectroRadiometer (MISR) version 22 (V22) aerosol products. Aerosol optical depth(AOD) retrieval results are improved relative to the early postlaunch values reported by[Kahn et al. (2005)], which varied with particle type category. Overall, about 70% to 75% of MISR AOD retrievals fall within 0.05 or20% x AOD of the paired validation data from the Aerosol Robotic Network(AERONET), and about 50% to 55% are within 0.03 or 10% x AERONET AOD, exceptat sites where dust or mixed dust and smoke are commonly found. Retrieved particlemicrophysical properties amount to categorical values, such as three size groupings:"small," "medium," and "large." For particle size, ground-based AERONET sunphotometer Angstrom exponents are used to assess statistically the corresponding MISRvalues, which are interpreted in terms of retrieved size categories. Coincident single-scattering albedo (SSA) and fraction AOD spherical data are too limited for statisticalvalidation. V22 distinguishes two or three size bins, depending on aerosol type, and abouttwo bins in SSA (absorbing vs. nonabsorbing), as well as spherical vs. nonsphericalparticles, under good retrieval conditions. Particle type sensitivity varies considerably withconditions and is diminished for midvisible AODs below about 0.15 or 0.2. On the basis ofthese results, specific algorithm upgrades are proposed and are being investigated by theMISR team for possible implementation in future versions of the product.
机译:统计方法用于评估多角度成像光谱辐射仪(MISR)22版(V22)气雾剂产品的质量。相对于[Kahn等人]报道的发射后早期值,气溶胶光学深度(AOD)检索结果得到了改善。 (2005)],随粒子类型类别而变化。总体而言,大约70%至75%的MISR AOD检索值介于气溶胶机器人网络(AERONET)的配对验证数据的0.05或20%x AOD之内,大约50%至55%的误差在0.03或10%x AERONET AOD之内,除通常发现粉尘或粉尘和烟雾混合的地方。检索到的颗粒微物理性质总计为分类值,例如三个大小分组:“小”,“中”和“大”。对于颗粒大小,基于地面的AERONET日光光度计Angstrom指数用于统计评估相应的MISR值,这些值根据检索到的大小类别进行解释。巧合的单散射反照率(SSA)和分数AOD球形数据太有限,无法进行统计验证。在良好的检索条件下,V22可以根据气溶胶类型区分两个或三个大小的垃圾箱,以及SSA中大约两个垃圾箱(吸收性粒子与非吸收性粒子)以及球形粒子与非球形粒子。粒子类型的灵敏度随条件而变化很大,对于低于0.15或0.2的中可见AOD,其灵敏度会降低。根据这些结果,提出了特定的算法升级,并且MISR团队正在研究这些算法的升级,以便在该产品的未来版本中实现。

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