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首页> 外文期刊>Atmospheric Measurement Techniques >Accounting for the effects of surface BRDF on satellite cloud and?trace-gas retrievals: a?new approach based on geometry-dependent?Lambertian equivalent reflectivity?applied?to?OMI?algorithms
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Accounting for the effects of surface BRDF on satellite cloud and?trace-gas retrievals: a?new approach based on geometry-dependent?Lambertian equivalent reflectivity?applied?to?OMI?algorithms

机译:考虑到地面BRDF对卫星云和“痕量气体”的影响:一种基于几何相关的朗伯等效反射率的新方法应用于OMI算法

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Most satellite nadir ultraviolet and visible cloud, aerosol, and trace-gas algorithms make use of climatological surface reflectivity databases. For example, cloud and NOsub2/sub retrievals for the Ozone Monitoring Instrument (OMI) use monthly gridded surface reflectivity climatologies that do not depend upon the observation geometry. In reality, reflection of incoming direct and diffuse solar light from land or ocean surfaces is sensitive to the sun–sensor geometry. This dependence is described by the bidirectional reflectance distribution function (BRDF). To account for the BRDF, we propose to use a new concept of geometry-dependent Lambertian equivalent reflectivity (LER). Implementation within the existing OMI cloud and NOsub2/sub retrieval infrastructure requires changes only to the input surface reflectivity database. The geometry-dependent LER is calculated using a vector radiative transfer model with high spatial resolution BRDF information from the Moderate Resolution Imaging Spectroradiometer (MODIS) over land and the Cox–Munk slope distribution over ocean with a contribution from water-leaving radiance. We compare the geometry-dependent and climatological LERs for two wavelengths, 354 and 466?nm, that are used in OMI cloud algorithms to derive cloud fractions. A detailed comparison of the cloud fractions and pressures derived with climatological and geometry-dependent LERs is carried out. Geometry-dependent LER and corresponding retrieved cloud products are then used as inputs to our OMI NOsub2/sub algorithm. We find that replacing the climatological OMI-based LERs with geometry-dependent LERs can increase NOsub2/sub vertical columns by up to 50?% in highly polluted areas; the differences include both BRDF effects and biases between the MODIS and OMI-based surface reflectance data sets. Only minor changes to NOsub2/sub columns (within 5?%) are found over unpolluted and overcast areas.
机译:大多数卫星最低点紫外线和可见云,气溶胶和痕量气体算法都利用气候表面反射率数据库。例如,臭氧监测仪器(OMI)的云和NO 2 检索使用的月度网格状表面反射率气候不依赖于观测几何形状。实际上,从陆地或海洋表面入射的直接和漫射太阳光的反射对太阳传感器的几何形状很敏感。这种依赖性由双向反射率分布函数(BRDF)来描述。为了说明BRDF,我们建议使用与几何相关的朗伯等效反射率(LER)的新概念。在现有的OMI云和NO 2 检索基础架构中实施仅需要更改输入表面反射率数据库。依赖几何的LER是使用矢量辐射传输模型计算的,该模型具有来自陆地中分辨率成像光谱仪(MODIS)的高空间分辨率BRDF信息以及海洋上的Cox-Munk坡度分布,并具有离水辐射的贡献。我们比较了两个波长354和466?nm的几何相关和气候LER,这两个波长用于OMI云算法中以得出云分数。进行了对与气候和几何相关的LER得出的云量和压力的详细比较。然后,将与几何相关的LER和相应的检索到的云产品用作我们的OMI NO 2 算法的输入。我们发现,在高度污染的地区,用基于几何的LER代替基于OMI的LER可以使NO 2 垂直柱增加多达50%。差异包括BRDF效应以及基于MODIS和OMI的表面反射率数据集之间的偏差。在未污染和阴天地区,仅发现NO 2 列的细微变化(在5%以内)。

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