Measuring the spectral irradiance of solar radiation is required in many fields of science and technology. In this work, we present an in-depth discussion of the measuring procedure and required corrections for such measurements. We also describe our measurement uncertainty analysis, which is based on a Monte-Carlo procedure in accordance with the Guide to the expression of uncertainty in measurement (JCGM, Paris, 2008). For this purpose, fifteen uncertainty sources are identified, analyzed and described analytically. As a specific application example, we describe the instrumentation and procedure for determining the spectral irradiance of a solar simulator at the ISO/IEC 17 025 accredited solar cell calibration laboratory ISFH CalTeC and the corresponding measurement uncertainty analysis. Moreover, we provide a Python implementation for this calculation along with the paper. We show that for state-of-the-art instrumentation, significant uncertainty contributions arise from the reference lamp (primary calibration standard), stray light and signal-to-noise ratio. If sharp spectral features are present (which is common, e.g. for Xenon lamps), spectral bandwidth and wavelength uncertainty also contribute significantly to the overall uncertainty.

许多科学和技术领域都需要测量太阳辐射的光谱辐照度。在这项工作中，我们对测量程序和此类测量所需的校正进行了深入讨论。我们还描述了我们的测量不确定度分析，该分析基于蒙特卡罗程序，符合测量不确定度表达指南（JCGM，巴黎，2008 年）。为此，对 15 个不确定性源进行了识别、分析和分析描述。作为一个具体的应用示例，我们描述了在 ISO/IEC 17 025 认可的太阳能电池校准实验室 ISFH CalTeC 中确定太阳模拟器光谱辐照度的仪器和程序以及相应的测量不确定度分析。此外，我们在论文中提供了用于该计算的 Python 实现。我们表明，对于最先进的仪器，参考灯（主要校准标准）、杂散光和信噪比会产生显着的不确定性贡献。如果存在尖锐的光谱特征（这很常见，例如氙灯），光谱带宽和波长不确定性也会显着影响整体不确定性。