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Estimating Global Solar Radiation from Routine Meteorological Parameters Over a Tropical City (7.23°N; 3.52°E) Using Quadratic Models

机译:使用二次模型估算来自热带城市(7.23°N; 3.52°E)的常规气象参数的全球太阳辐射

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摘要

The need for adequate solar radiation is ever increasing for various applications. However there is an inadequate data of solar radiation in many countries due to the cost of instrument set up. Hence this study investigates two models for estimating solar radiation from routinely measured meteorological parameters. The data were obtained from the International Institute of Tropical Agriculture, Ibadan. The regression coefficients of the quadratic models were determined and used to estimate the global solar radiation for both forward and backward predictions. Their predictive accuracies were compared with four other models and the measured values using standard statistical error indicators. The results showed for forward as compared to backward predictions in bracket root mean square errors 1.2 (1.1); mean bias errors 1.1 (0.8) and mean percentage errors -4.8% (-2.9%) while for backward prediction 1.9 (1.7), 1.7 (1.4) and 7.9% (2.2%) measured in KJm−2day−1 respectively. A positive error value shows an over estimation while a negative value shows an under estimation. The models are versatile for estimating global solar radiation at the horizontal surface, fixing missing data and correcting outliers.
机译:对于各种应用,对充足的太阳辐射的需求是越来越多的。然而,由于仪器设置的成本,许多国家的太阳辐射数据存在不足。因此,本研究调查了两种估算太阳辐射的模型,从常规测量的气象参数估算。数据是从Ibadan国际热带农业研究所获得的。确定二次模型的回归系数并用于估计向前和向后预测的全局太阳辐射。使用标准统计误差指示符将其预测精度与四个其他模型和测量值进行比较。与括号根均方误差1.2(1.1)的括号根均线误报相比,结果向前表示前进。平均偏差误差1.1(0.8)和平均百分比误差-4.8%(-2.9%),同时分别在KJM-2day-1中测量的后退预测1.9(1.7),1.7(1.4)和7.9%(2.2%)。正误差值显示过估计,而负值显示在估计下。该模型是多功能的,用于估算水平表面的全球太阳辐射,修复缺失的数据和校正异常值。

著录项

  • 作者

    Gbadebo I. Olatona;

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  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
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