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Long Island Sound Coastal Observatory: assessment of above-water radiometric measurement uncertainties using collocated multi and hyper-spectral systems: reply to comment

机译:长岛声音海岸天文台:使用并置的多光谱和高光谱系统评估水上辐射测量的不确定性:回复评论

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Uncertainties associated with the derivation of the exact normalized water-leaving radiance (L_(WN)) from an above-water radiometric system were analyzed in Harmel et al. [Appl. Opt. 50, 5842 (2011)] based on collocated hyperspectral (HyperSAS) and multispectral (SeaPRISM) systems installed on the Long Island Sound Coastal Observational (LISCO) platform. Based on a 1.5 year time series of LISCO data, uncertainty contributors in the derivation of L_(WN) were quantified in units of unbiased relative percentage differences (URPD) by applying the different steps of the respective data processing incrementally. Results showed that discrepancy between L_(WN) data of two systems is significantly reduced when the average total sea radiance data of SeaPRISM is used in lieu of the standard one, which utilizes only the lowest total sea radiance measurements to remove the sky glint perturbations. The Zibordi comment [Appl. Opt. 51, 3888 (2012)] rejects the conclusion that attributes the sky glint removal step as the major uncertainty contributor in the SeaPRISM processing. It then states that the observed discrepancy might be due to an increased probability of sun-glint contamination in HyperSAS measurements because of its wider field of view and longer integration time. It was also underlined that observed dispersion between the atmospheric transmittance data derived from HyperSAS and SeaPRISM measurements can be attributed to probable contamination by stray light perturbation or issues with the noncosine response of the HyperSAS irradiance sensor. Finally, it was suggested to thoroughly investigate those instrumental perturbations. In this reply, impacts of non-perfect cosine response of the irradiance sensor are shown to be relatively low (<2percent on average) and therefore can only partially explain the bias in atmospheric transmittance. Additional discrepancies between the HyperSAS and SeaPRISM downwelling irradiance derivation are attributed to the presence of absorbing aerosols. Intercomparisons of the total sea radiance and nonnormalized water-leaving radiance, complementary to those discussed in the LISCO paper, are analyzed, and this analysis shows that discrepancies in normalized water-leaving radiance retrievals arise from data processing and not from instrumental uncertainty. In addition, limitations in the standard data processing to meaningfully derive normalized water-leaving radiance for various appropriate viewing configurations are discussed. It is finally advocated that the issue of sky glint perturbation correction requires further analysis based on radiative transfer computations, including refined modeling of wave slope distributions.
机译:Harmel等人分析了与从水上辐射测量系统推导的精确归一化净放水辐射率(L_(WN))相关的不确定性。 [应用选择。 50,5842(2011)]基于安装在长岛声音海岸观测(LISCO)平台上的并置高光谱(HyperSAS)和多光谱(SeaPRISM)系统。根据LISCO数据的1.5年时间序列,通过逐步应用各个数据处理的不同步骤,以无偏的相对百分比差(URPD)为单位量化L_(WN)推导中的不确定性贡献因素。结果表明,当使用SeaPRISM的平均总海洋辐射率数据代替标准的一个系统时,两个系统的L_(WN)数据之间的差异会大大减少,该标准仅使用最低的总海洋辐射率测量值来消除天体闪烁扰动。 Zibordi评论[Appl。选择。 51,3888(2012)]否定了将天空闪烁消除步骤归因于SeaPRISM处理的主要不确定因素的结论。然后,它指出观察到的差异可能是由于HyperSAS测量范围内的太阳光闪烁污染的可能性增加,因为它具有更宽的视野和更长的积分时间。还强调指出,从HyperSAS和SeaPRISM测量获得的大气透射率数据之间观察到的离散可能归因于杂散光干扰或HyperSAS辐照度传感器的非余弦响应问题造成的污染。最后,建议彻底研究那些工具扰动。在此回复中,辐照度传感器的非理想余弦响应的影响显示为相对较低(平均<2%),因此只能部分解释大气透射率的偏差。 HyperSAS和SeaPRISM下行辐射辐照度推导之间的其他差异归因于吸收气溶胶的存在。分析了与LISCO论文中所讨论的互补的总海辐射率和非归一化水辐射率之间的比对,该分析表明归一化离水辐射率检索中的差异源自数据处理而非仪器不确定性。此外,还讨论了在标准数据处理中针对各种适当的查看配置有意义地导出标准化的留水辐射率的限制。最后,有人建议对天闪干扰校正的问题需要基于辐射传递计算进行进一步分析,包括对波场斜率分布进行精细建模。

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