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国际参考电离层模型IRI(the international reference ionosphere model)是利用全球电离层测站以及卫星观测数据建立的电离层经验模型,并广泛用于电离层研究领域.本文选用2014年地磁暴平静期的IRI-2016模式和电离层垂测仪的数据,对电离层F2层峰值电子密度NmF2和峰值高度HmF2两个物理量,通过IRI模型最新版本(IRI-2016)在地磁环境平静期的误差精度进行评估.根据不同磁倾角范围分别选择5个台站(Juliusruh(54°N,13°E)磁倾角:68.54°,Okinawa(26°N,128°E)磁倾角:37.26°,Jicamarca(12°S,77°W)磁倾角:-0.26°,Port_Stanley(52°S,58°W)磁倾角:-51.20°,Hermanus(34°S,19°E)磁倾角:-64.24°)进行NmF2和HmF2参数对比分析.5个台站中Port_Stanley站的NmF2相关性最差(相关系数0.68),Okinawa站HmF2相关性最差(相关系数0.52),Juliusruh站两个参数的相关性最高(相关系数0.87).以Juliusruh站为例进行白昼、夜晚以及不同季节的分析,可以看出白昼误差明显低于夜晚,相较于分季(春或秋)和冬季,IRI模型在夏季预测效果最好.5个台站的研究结果表明,IRI模型与垂测仪数据具备一致性,IRI模型的值高于实测数据值.
The international reference ionosphere model (IRI) is an ionospheric empirical model established using global ionospheric stations and satellite observations and is widely used in ionospheric research.In this paper, the IRI -2016 mode and the ionospheric vertical well, the two physical quantities of the peak electron density (NmF2) and peak height (HmF2) in the F2 layer of the ionosphere were evaluated by the accuracy of the error of the IRI-2016 during the geomagnetic quiet period. Five stations (Juliusruh (54 ° N, 13 ° E)) are chosen according to different ranges of magnetic dip angle: 68.54 °, inclination angle of Okinawa (26 ° N, 128 ° E): 37.26 °, Jicamarca (12 ° S, 77 ° W) Magnetic dip: -0.26 °, Port_Stanley (52 ° S, 58 ° W) Magnetic dip: -51.20 °, Hermanus (34 ° S, 19 ° E) Magnetic dip: -64.24 °) The NmF2 and HmF2 parameters The correlation between the NmF2 of Port_Stanley station and the Okinawa station was the worst (correlation coefficient 0.68) and HfF2 (correlation coefficient 0.52). The Juliusruh station had the highest correlation (0.87). Take Juliusruh Station as an example to analyze daytime, nighttime and different seasons, we can see that Compared with the seasonal (spring or autumn) and winter (winter or autumn), the IRI model had the best forecast in the summer, and the results of the five stations showed that the IRI model and the vertical testers had the same data and the IRI model The value is higher than the measured data value.