Upwelling spectral radiance as measured in different depths at radiometer station PS71/278-2 (corrected version)

In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.821098), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features <430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features <430 nm are consistent and are not used for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.

在既往的上行辐亮度（upwelling radiance, Lu）剖面数据集（DOI:10.1594/PANGAEA.821098）中，Lu数据存在3 nm的波长偏移误差，该偏移对应原始测量的分辨率设置。相关已发表研究的结论未受此误差影响。Taylor等人2013年的研究仅使用了存在3 nm偏移误差的Lu数据，因此其分析内部逻辑自洽。Bracher等人2015年的研究采用了由该存在偏移误差的Lu数据计算得到的遥感反射率（remote sensing reflectance, RRS）数据集。由此生成的RRS数据仅在入射下行辐照度随波长快速变化的波段存在不一致性，进而在<430 nm波段产生了错误特征。本研究同时使用了该既往数据集与本次发布的数据集对应的Lu和RRS数据，最终得到了一致的结果——这是因为<430 nm波段的错误特征具有一致性，且Bracher等人2015年的研究中并未将这些特征用于色素预测（因这些特征包含于首个经验正交函数中）。