The performance of seventeen sunshine-duration-based models has been assessed using data from seven meteorological stations in Croatia. Conventional statistical indicators are used as numerical indicators of the model performance: mean absolute percentage error (MAPE), mean bias error (MBE), mean absolute error (MAE), and root-mean-square error (RMSE). The ranking of the models was done using the combination of all these parameters, all having equal weights. The Rietveld model was found to perform the best overall, followed by Soler and Dogniaux-Lemoine monthly dependent models. For three best-performing models, new adjusted coefficients are calculated, and they are validated using separate dataset. Only the Dogniaux-Lemoine model performed better with adjusted coefficients, but across all analysed locations, the adjusted models showed improvement in reduced maximum percentage error.

中文翻译：

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克罗地亚根据阳光持续时间估算太阳辐射的模型比较

已使用克罗地亚七个气象站的数据评估了 17 个基于日照持续时间的模型的性能。模型性能的数值指标采用常规统计指标：平均绝对百分比误差（MAPE）、平均偏差误差（MBE）、平均绝对误差（MAE）和均方根误差（RMSE）。模型的排名是使用所有这些参数的组合完成的，所有参数都具有相同的权重。发现 Rietveld 模型总体上表现最好，其次是 Soler 和 Dogniaux-Lemoine 月度依赖模型。对于三个表现最佳的模型，计算新的调整系数，并使用单独的数据集进行验证。只有 Dogniaux-Lemoine 模型在调整系数后表现更好，但在所有分析的位置，