首页> 外文会议>Remote Sensing of the Atmosphere and Clouds; Proceedings of SPIE-The International Society for Optical Engineering; vol.6408 >Systematic Bias in MODIS Dust Aerosol Retrieval at Kanpur (AERONET), Indo-Gangetic Basin
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Systematic Bias in MODIS Dust Aerosol Retrieval at Kanpur (AERONET), Indo-Gangetic Basin

机译:印度洋恒流盆地坎普尔(AERONET)MODIS尘埃气溶胶回收的系统偏差

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摘要

We have compared the spectral aerosol optical depth (AOD) and aerosol fine mode fraction (AFMF) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) with those of Aerosol Robotic Network (AERONET) at Kanpur (26.45N, 80.35E), northern India for the pre-monsoon season (March to June, 2001-2005). We found that MODIS systematically overestimates AOD during pre-monsoon season (known to be influenced by dust transport from north-west of India). The errors in AOD were correlated with the MODIS top-of-atmosphere apparent surface reflectance in 2.1 μm channel (ρ_(2.1)~*). MODIS aerosol algorithm uses ρ_(2.1)~* to derive the surface reflectance in visible channels (ρ_(0.47), ρ_(0.66)) using an empirical mid IR-visible correlation (ρ_(0.47) = ρ_(2.1)/4, ρ_(0.66) = ρ_(2.1)/2). The large uncertainty in estimating surface reflectance in visible channels (Δρ_(0.66) ± 0.04, Δρ_(0.47)±0.02) at higher values of ρ_(2.1)~* x (ρ_(2.1)~* >0.18) leads to higher aerosol contribution in the total reflected radiance at top-of-atmosphere to compensate for the reduced surface reflectance in visible channels and thus leads to overestimation of AOD. This was also reflected in the very low values of AFMF during pre-monsoon whose accuracy depends on the aerosol path radiance in 0.47 and 0.66 μm channels and aerosol models. The errors in AOD were also high in the scattering angle range 110°-140°, where the effect of dust non-spherity on its optical properties is significant. The direct measurements of spectral surface reflectance are required over the Indo-Gangetic basin in order to validate the mid IR-visible relationship. MODIS aerosol models should also be modified to incorporate the effect of non-spherity of dust aerosols.
机译:我们将印度中部坎普尔(26.45N,80.35E)的中分辨率成像光谱仪(MODIS)的气溶胶光学深度(AOD)和气溶胶精细模式分数(AFMF)与气溶胶机器人网络(AERONET)的气溶胶光学深度进行了比较。季风前季节(2001-2005年3月至6月)。我们发现,MODIS系统在季风前季节系统地高估了AOD(已知这是受到印度西北部粉尘迁移的影响)。 AOD的误差与2.1微米通道(ρ_(2.1)〜*)中MODIS的大气顶视在表面反射率相关。 MODIS气溶胶算法使用ρ_(2.1)〜*来得出可见通道中的表面反射率(ρ_(0.47),ρ_(0.66)),并使用经验中红外可见光相关性(ρ_(0.47)=ρ_(2.1)/ 4, ρ_(0.66)=ρ_(2.1)/ 2)。在较高的ρ_(2.1)〜* x(ρ_(2.1)〜*> 0.18)值下,可见通道中的表面反射率估计存在较大不确定性(Δρ_(0.66)±0.04,Δρ_(0.47)±0.02)导致较高的气溶胶浓度大气总反射辐射的贡献,以补偿可见通道中降低的表面反射率,从而导致对AOD的高估。这也反映在季风前的AFMF值非常低,其精度取决于0.47和0.66μm通道和气溶胶模型中的气溶胶路径辐射。在散射角范围为110°-140°时,AOD的误差也很高,其中灰尘非球形性对其光学性能的影响非常明显。为了验证中红外与可见光之间的关系,需要在印度恒河盆地上直接测量光谱表面反射率。还应修改MODIS气溶胶模型,以纳入粉尘气溶胶非球形性的影响。

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