A new global model for the ionospheric F2 peak height for radio wave propagation
A new global model for the ionospheric F2 peak height for radio wave propagation
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DOI：
10.5194/angeo-30-797-2012
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发表时间：
2012-05
影响因子：
1.9
通讯作者：
M. M. Hoque-M.;N. Jakowski
中科院分区：
文献类型：
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作者：
M. M. Hoque-M.;N. Jakowski
抽象的。F2层峰值密度高度hmF 2是表征高频传播条件的最重要的电离层参数之一。因此，对峰值电子密度高度的空间和时间变化进行建模和预测的能力，对于电离层研究和无线电频率规划和操作都非常有用。对于全球hmF 2建模，我们提出了一个非线性模型的方法与13个模型系数和一些经验固定的参数。该模型方法描述了hmF 2在全球范围内的时间和空间依赖性。为了确定13个模型系数，我们将此模型方法应用于大量的全球hmF 2观测数据，这些数据来自全球69个电离层探测站，包括CHAMP、GRACE和COSMIC卫星上的GNSS无线电掩星测量数据。我们已经发现，该模型适合这些输入数据具有相同的均方根（RMS）和10%的标准偏差。与电子密度NeQuick模型相比，我们提出的诺伊斯特雷利茨全球hmF 2模型（诺伊斯特雷利茨峰高模型- NPHM）在高、低太阳活动条件下与观测数据的均方根偏差分别约为13%和12%，而NeQuick模型的相应偏差分别为18%和16%.
Abstract. The F2-layer peak density height hmF2 is one of the most important ionospheric parameters characterizing HF propagation conditions. Therefore, the ability to model and predict the spatial and temporal variations of the peak electron density height is of great use for both ionospheric research and radio frequency planning and operation. For global hmF2 modelling we present a nonlinear model approach with 13 model coefficients and a few empirically fixed parameters. The model approach describes the temporal and spatial dependencies of hmF2 on global scale. For determining the 13 model coefficients, we apply this model approach to a large quantity of global hmF2 observational data obtained from GNSS radio occultation measurements onboard CHAMP, GRACE and COSMIC satellites and data from 69 worldwide ionosonde stations. We have found that the model fits to these input data with the same root mean squared (RMS) and standard deviations of 10%. In comparison with the electron density NeQuick model, the proposed Neustrelitz global hmF2 model (Neustrelitz Peak Height Model – NPHM) shows percentage RMS deviations of about 13% and 12% from the observational data during high and low solar activity conditions, respectively, whereas the corresponding deviations for the NeQuick model are found 18% and 16%, respectively.