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A non-parametric method for correction of global radiation observations

机译:一种用于校正全球辐射观测值的非参数方法

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摘要

This paper presents a method for correction and alignment of global radiation observations based on information obtained from calculated global radiation, in the present study one-hour forecast of global radiation from a numerical weather prediction (NWP) model is used. Systematical errors detected in the observations are corrected. These are errors such as: tilt in the leveling of the sensor, shadowing from surrounding objects, clipping and saturation in the signal processing, and errors from dirt and wear. The method is based on a statistical non-parametric clear-sky model which is applied to both the observed and the calculated radiation in order to find systematic deviations between them. The method is applied to correct global radiation observations from a climate station located at a district heating plant in Denmark. The results are compared to observations recorded at the Danish Technical University. The method can be useful for optimized use of solar radiation observations for forecasting, monitoring, and modeling of energy production and load which are affected by solar radiation.
机译:本文提出了一种基于从计算出的全球辐射中获得的信息来校正和对准全球辐射观测的方法,在本研究中,我们使用了数值天气预报(NWP)模型对全球辐射的一小时预报。纠正在观测中检测到的系统错误。这些错误包括:传感器的水平仪倾斜,周围物体的阴影,信号处理中的削波和饱和以及灰尘和磨损引起的错误。该方法基于统计的非参数晴空模型,该模型适用于观测到的辐射和计算出的辐射,以便找到它们之间的系统偏差。该方法适用于纠正来自位于丹麦的区域供热厂的气候站的全球辐射观测值。将结果与丹麦技术大学记录的观察结果进行比较。该方法对于将太阳辐射观测值优化用于预测,监视和建模受太阳辐射影响的能量生产和负荷可能有用。

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