Evaluation of net radiation using the autoregressive models with higher orders over Nigeria

O. Ojo
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引用次数: 2

Abstract

In this study, monthly surface net radiation data were collected from the Nigeria Meteorological Agency, Lagos covering a duration of 31 years (1983- 2013) spatially distributed across the four climatic regions: Semi-Arid (SAR), Sub-humid Dry (SHD), Sub-humid Humid (SHH) and Humid (HUM) regions. The net radiation was evaluated using different forms of Auto-Regressive models – AR {p} where p is the number of orders of the auto-regressive. The analysis showed that AR {4} performed best in all the regions and stations investigated. Regionally, AR {4} has maximum values of coefficient of determination of 0.8127 in HUM, 0.7876 in SHH, 0.5765 in SHD and 0.7973 in SAR regions. It can be concluded that the higher the order of auto-regressive models, the more accurate estimation of net radiation it will give irrespective of location in Nigeria.
用高阶自回归模式评价尼日利亚上空的净辐射
本研究收集了尼日利亚拉各斯气象局(Nigeria Meteorological Agency, Lagos) 1983- 2013年31年的月地表净辐射数据,分布在半干旱(SAR)、亚湿润干燥(SHD)、亚湿润湿润(SHH)和湿润(HUM)四个气候区。使用不同形式的自回归模型(AR {p})评估净辐射,其中p是自回归的阶数。分析表明,AR b{4}在所有被调查的地区和电台中表现最好。从区域上看,AR b{4}在HUM、SHH、SHD和SAR区域的决定系数最大值分别为0.8127、0.7876、0.5765和0.7973。可以得出结论,自回归模型的阶数越高,无论在尼日利亚的哪个地方,它对净辐射的估计就越准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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