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首页> 外文期刊>Atmospheric Measurement Techniques Discussions >Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties
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Inversion of multiangular polarimetric measurements over open and coastal ocean waters: a joint retrieval algorithm for aerosol and water-leaving radiance properties

机译:开放式和沿海海域多态偏振测量的反演:气溶胶和留液辐射度的联合检索算法

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摘要

Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll?a. The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions.
机译:海洋颜色遥感是由于气溶胶和氢化醇的复杂光学性质,对沿海水域有挑战性的任务。为了进行准确的大气校正,我们之前实现了一个联合检索算法,以下称为多角偏振海洋颜色(Mapol)算法,同时获得气溶胶和剩余的液体信号。 Mapol算法已通过矢量辐射传输模型产生的合成数据验证,并且在气溶胶和海洋水光学性质方面已经证明了良好的检索性能(Gao等,2018)。在这项工作中,我们将该算法应用于在两个现场运动中获得的开放和沿海海域的研究扫描偏振仪(RSP)的空中偏振测量:2014年船飞机生物学研究(Sabor)和北大西洋气溶胶和海洋生态系统研究(Naames)2015年和2016年。两种不同但相关的生物光学模型设计用于海洋水景。一种模型与传统的开放海洋水生物学模型对齐,从叶绿素的浓度参数化海洋光学性质?a。另一个是用于沿海水域的广义生物光学模型,包括七个自由参数来描述浮游植物,有色溶解的有机物和幼稚颗粒的吸收和散射。评估气溶胶光学深度的检索误差和剩余的含水辐射。通过与海洋颜色数据产品的比较,从都有来自原位测量和中等分辨率的成像光谱仪(MODIS),以及来自高频谱分辨率LIIDAR(HSRL)和气溶胶机器人网络(AEROSOL)的气溶胶产品,MAPOL算法演示在各种气溶胶和海洋水条件下检索气溶胶和留下水辐射性能的灵活性和准确性。

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