Abstract. Accurate retrieval of top of the atmosphere (TOA) radiance is a sustained research work in ocean color remote sensing. Spectral shapes of sensor input and sensor spectral response (SRF) function may significantly affect the achievable accuracy. A model is presented here to quantify the effects of spectral shapes. We also proposed an innovative method to retrieve the TOA spectral radiance that accounts for spectral shapes. Ten-fold improvement is demonstrated in retrieval accuracy using the proposed method on multiple data sets. Input spectral shape variations are simulated using spectra of TOA radiance, path radiance, exoatmospheric solar irradiance, and integrating sphere. SRF changes are simulated using SRFs of Ocean Color Monitor-2 and Sea-Viewing Wide Field-of-View Sensor. System spectral shape factor, a new parameter, is found to capture the spectral changes and helps quantitative assessment of the inaccuracy. The proposed method will be highly beneficial in deriving accurate geophysical products from the existing and upcoming ocean color remote sensing instruments.

中文翻译：

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基于系统光谱形状因子的海洋颜色辐射精度提升检索方法

摘要。大气层顶（TOA）辐射的准确反演是海洋颜色遥感的一项持续研究工作。传感器输入的光谱形状和传感器光谱响应 (SRF) 函数可能会显着影响可实现的精度。这里提出了一个模型来量化光谱形状的影响。我们还提出了一种创新方法来检索考虑光谱形状的 TOA 光谱辐射。使用所提出的方法在多个数据集上证明检索准确性提高了十倍。使用 TOA 辐射、路径辐射、大气层外太阳辐照度和积分球的光谱模拟输入光谱形状变化。SRF 变化是使用 Ocean Color Monitor-2 和 Sea-Viewing Wide Field-of-View Sensor 的 SRF 来模拟的。系统频谱形状因子，一个新参数，发现可以捕获光谱变化并有助于对不准确度进行定量评估。所提出的方法将非常有利于从现有和即将推出的海洋颜色遥感仪器中获取准确的地球物理产品。