Accurate estimation of solar power generation is crucial for the effective planning and operation of solar energy sector. Solar potential can be estimated at a location from long-term historical irradiance data processed from atmospheric reanalysis datasets. The current study employs a clear-sky radiative transfer model ( to simulate the net surface irradiance at four distinct locations in India, comparing our model's output with mean monthly ground-based measurements of surface irradiance. Our findings reveal that the model marginally underestimates solar irradiance, with potential deviations varying depending on the accuracy of input data. This research evaluates the influence of particulate matter concentration and relative humidity on the scattering and absorption of solar radiation. We also state the variability in surface irradiance across the country with the rainfall trends that enhance assessment accuracy. The study reports an annual deviation of 10–15 % in surface irradiance across the country, where rural settlements show lower deviations in simulations. The radiative transfer calculations mentioned in the study are simplistic yet beneficial for evaluation of solar potential. Transmittance estimated from clear-sky models is further implemented in all-sky (with clouds), and thus, model accuracy is an important parameter. Additionally, we explore the trends in aerosol concentrations and the impact of local climatological factors on surface irradiance, providing insights critical for optimizing solar energy utilization.

中文翻译：

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受印度当地气候影响的 6S 晴空辐照度评估


准确估算太阳能发电量对于太阳能行业的有效规划和运营至关重要。可以根据大气再分析数据集处理的长期历史辐照度数据来估计某个位置的太阳能潜力。当前的研究采用晴空辐射传输模型（模拟印度四个不同地点的净表面辐照度，将我们模型的输出与月平均地面辐照度测量值进行比较。我们的研究结果表明，该模型略微低估了太阳辐照度，潜在偏差取决于输入数据的准确性。这项研究评估了颗粒物浓度和相对湿度对太阳辐射散射和吸收的影响。我们还指出了全国各地表面辐照度随降雨趋势的变化。该研究报告称，全国地表辐照度的年偏差为 10-15%，其中农村居民区的模拟偏差较小。研究中提到的辐射传输计算虽然简单，但有利于评估太阳透射率。晴空模型的估计进一步在全天空（有云）中实现，因此模型精度是一个重要参数。此外，我们还探讨了气溶胶浓度的趋势以及当地气候因素对表面辐照度的影响，为优化太阳能利用提供了至关重要的见解。