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Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters

机译:更新的MISR水上研究气溶胶提取算法-第2部分:针对浅水,浑浊,贫营养和富营养化水域的多角度气溶胶提取算法

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Coastal waters serve as transport pathways to the ocean for all agricultural and other runoff from terrestrial sources, and many are the sites for upwelling of nutrient-rich, deep water; they are also some of the most biologically productive on Earth. Estimating the impact coastal waters have on the global carbon budget requires relating satellite-based remote-sensing retrievals of biological productivity (e.g., chlorophyll a concentration) to in situ measurements taken in near-surface waters. The Multi-angle Imaging SpectroRadiometer (MISR) can uniquely constrain the “atmospheric correction” needed to derive ocean color from remote-sensing imagers. Here, we retrieve aerosol amount and type from MISR over all types of water. The primary limitation is an upper bound on aerosol optical depth (AOD), as the algorithm must be able to distinguish the surface. This updated MISR research aerosol retrieval algorithm (RA) also assumes that light reflection by the underlying ocean surface is Lambertian. The RA computes the ocean surface reflectance ( Rsubrs/sub ) analytically for a given AOD, aerosol optical model, and wind speed. We provide retrieval examples over shallow, turbid, and eutrophic waters and introduce a productivity and turbidity index (PTI), calculated from retrieved spectral Rsubrs/sub , that distinguished water types (similar to the the normalized difference vegetation index, NDVI, over land). We also validate the new algorithm by comparing spectral AOD and ?ngstr?m exponent (ANG) results with 2419 collocated AErosol RObotic NETwork (AERONET) observations. For AERONET 558?nm interpolated AOD 0.20, the ANG RMSE is 0.25 and r is 0.89. Although MISR RA AOD retrieval quality does not appear to be substantially impacted by the presence of turbid water, the MISR-RA-retrieved ?ngstr?m exponent seems to suffer from increased uncertainty under such conditions. MISR supplements current ocean color sources in regions where sunglint precludes retrievals from single-view-angle instruments. MISR atmospheric correction should also be more robust than that derived from single-view instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS). This is especially true in regions of shallow, turbid, and eutrophic waters, locations where biological productivity can be high, and single-view-angle retrieval algorithms struggle to separate atmospheric from oceanic features.
机译:沿海水域是所有来自陆源的农业和其他径流的通向海洋的运输途径,其中许多是营养丰富的深水上升的场所。它们也是地球上生物生产力最高的一些。要估算沿海水域对全球碳预算的影响,需要将基于卫星的生物生产力遥感检索(例如叶绿素a浓度)与在近地表水域中进行的现场测量相关联。多角度成像光谱辐射仪(MISR)可以独特地约束从遥感影像仪获得海洋色彩所需的“大气校正”。在这里,我们从MISR检索所有类型的水上的气溶胶数量和类型。主要限制是气溶胶光学深度(AOD)的上限,因为该算法必须能够区分表面。此更新的MISR研究气溶胶提取算法(RA)还假设底层海洋表面的光反射是朗伯型的。对于给定的AOD,气溶胶光学模型和风速,RA通过解析计算海洋表面反射率(R rs )。我们提供了浅水,浑浊和富营养化水域的取水实例,并介绍了根据取回的光谱R rs 计算出的生产力和浊度指数(PTI),以区分水的类型(类似于归一化差异植被指数,NDVI(陆地)。我们还通过将光谱AOD和ngstr?m指数(ANG)结果与2419并置的AErosol机器人网络(AERONET)观察结果进行比较来验证新算法。对于AERONET 558?nm内插AOD 0.20,ANG RMSE为0.25,r为0.89。尽管MISR RA AOD的取水质量似乎不受混浊水的影响,但在这种情况下,MISR-RA回收的指纹指数似乎会增加不确定性。 MISR补充了某些地区的当前海洋颜色来源,在这些地区中,日照阻止了从单视角仪器中进行的取回。 MISR大气校正也应比从中分辨率成像光谱仪(MODIS)等单视图仪器获得的校正更可靠。在浅水,浑浊和富营养化的水域,生物生产力可能很高的地区,以及单视角检索算法难以将大气特征与海洋特征区分开的地区尤其如此。

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