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首页> 外文期刊>International Journal of Biosciences >Calibration of the modified Angstrom global solar radiation models for different seasons in South of Iran
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Calibration of the modified Angstrom global solar radiation models for different seasons in South of Iran

机译:伊朗南部不同季节经修正的Angstrom全球太阳辐射模型的校准

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The Angstrom equation is one of themostaccurate and widely used sunshine based models to estimate global solar radiation. The key in its application is the calibration of the local specific coefficients. The global solar radiation in fall and winter is affected by cloudiness conditions and thelower ratios of actual to maximum possible sunshine hours, resulted in receiving the lower global solar radiation during these seasons compared with the received radiation in spring and summer. Therefore, in this study, due to differences in sky-cloudiness, and atmosphere transmissivity in different seasons, the coefficients of the Angstrom modified models, namely Angstrom-Prescott, Modified Angstrom-Prescott and Reitveld, calibrated for the fall, winter, spring and summer seasons in Bajgah, Iran, independently. The seasonal based calibrated equations were compared based on statistical error tests such as the mean bias error (MBE), root mean square error (RMSE), coefficient of determination (R2) and Nash–Sutcliffe equation (NSE) indexes. Good agreement wasfound between measured values and estimated data by the mentioned models. Statistical analysis is indicated that three seasonal based calibrated models are more accurate and recommendable to use in study region, when sunshine hours data are available in comparison with Angstrom-Prescott equation using the recommended coefficients for northern hemisphere
机译:Angstrom方程是最准确且广泛使用的基于阳光的模型来估计全球太阳辐射。其应用中的关键是局部比系数的校准。秋季和冬季的全球太阳辐射受到多云条件的影响,实际与最大可能日照小时数的比率较低,导致与春季和夏季相比,在这些季节中接收到的全球太阳辐射较低。因此,在本研究中,由于天空多云和不同季节的大气透过率的差异,对Angstrom-Prescott,改良的Angstrom-Prescott和Reitveld的Angstrom修正模型的系数针对秋季,冬季,春季和伊朗Bajgah的夏季独立。在统计误差测试的基础上对基于季节性的校准方程进行了比较,例如平均偏差误差(MBE),均方根误差(RMSE),确定系数(R2)和纳什–萨特克利夫方程(NSE)指标。通过上述模型,在测量值和估计数据之间发现了很好的一致性。统计分析表明,与北半球的推荐系数相比,当可获得日照时间数据与Angstrom-Prescott方程比较时,三个基于季节的校准模型更准确,建议在研究区域中使用

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