Solar radiation from reanalysis datasets can be used to estimate solar energy potential in the absence of long-term surface measured data. Comprehensive validation of reanalysis data against short-term measurements of solar radiation is necessary to find uncertainties. The evaluation of the performance of seven reanalysis datasets (ERA-5, MERRA-2, ERA-Interim, JRA-55, NCEP-NCAR, NCEP-DOE, and CFSR) for Balochistan against high-quality surface measured data was performed using statistical analysis. The relative mean bias error (rMBE), relative mean absolute error (rMAE), and relative root mean square error of reanalysis solar radiation range from −4 to 7%, 8 to 14%, and 16 to 21%, respectively, using sub-daily data of six datasets except for NCEP-NCAR. Seasonal statistical analysis was performed to study seasonal variation of performance of datasets, which reveals the significant variation of errors in different seasons. Analysis of monthly mean data shows that rMBE and rMAE are less than 3 and 5% for ERA-...

中文翻译：

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使用巴基斯坦俾路支省的地表观测评估来自 NCEP、ECMWF、NASA 和 JMA 的再分析地表太阳辐射

在缺乏长期地表测量数据的情况下，来自再分析数据集的太阳辐射可用于估计太阳能潜力。有必要根据太阳辐射的短期测量结果对再分析数据进行全面验证，以发现不确定性。使用统计数据对俾路支省的七个再分析数据集（ERA-5、MERRA-2、ERA-Interim、JRA-55、NCEP-NCAR、NCEP-DOE 和 CFSR）的性能进行了评估。分析。再分析太阳辐射的相对平均偏差误差 (rMBE)、相对平均绝对误差 (rMAE) 和相对均方根误差范围分别为 -4 至 7%、8 至 14% 和 16 至 21%，使用 sub - 除 NCEP-NCAR 外的六个数据集的每日数据。通过季节性统计分析研究数据集性能的季节性变化，揭示了不同季节误差的显着变化。月平均数据分析表明，ERA-...的rMBE和rMAE分别低于3%和5%。