Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia
To improve the accuracy of predictions and simplify the difficulty with the algorithm, a simplified empirical model is proposed in developing a long-term predictive approach in determining the ionosphere’s F2-layer critical frequency (<i>f<sub>o</sub></i>F<sub>...
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doaj-798c35e4060e40a2a17a9c86bb778cc62020-11-25T01:57:01ZengMDPI AGApplied Sciences2076-34172019-08-01916321910.3390/app9163219app9163219Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East AsiaJian Wang0Hongmei Bai1Xiangdong Huang2Yuebin Cao3Qiang Chen4Jianguo Ma5School of Microelectronics, Tianjin University, Tianjin 300072, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaQingdao Institute for Ocean Technology, Tianjin University, Qingdao 266100, ChinaQingdao Institute for Ocean Technology, Tianjin University, Qingdao 266100, ChinaQingdao Institute for Ocean Technology, Tianjin University, Qingdao 266100, ChinaQingdao Institute for Ocean Technology, Tianjin University, Qingdao 266100, ChinaTo improve the accuracy of predictions and simplify the difficulty with the algorithm, a simplified empirical model is proposed in developing a long-term predictive approach in determining the ionosphere’s F2-layer critical frequency (<i>f<sub>o</sub></i>F<sub>2</sub>). The main distinctive features introduced in this model are: (1) Its vertical incidence sounding data, which were obtained from 18 ionosonde stations in east Asia between 1949 and 2017, used in reconstructing the model and verification; (2) the use of second-order polynomial and triangle harmonic functions, instead of linear ones, to obtain the relationship between the seasonal vs. solar-cycle variations of <i>f<sub>o</sub></i>F<sub>2</sub> and solar activity parameters; (3) the flux of solar radio waves at 10.7 cm and sunspot number are together introduced in reconstructing the temporal characteristics of <i>f<sub>o</sub></i>F<sub>2</sub>; and (4) the use of the geomagnetic dip coordinates rather than geographic coordinates in reconstructing the spatial characteristics of <i>f<sub>o</sub></i>F<sub>2</sub>. The statistical results reveal that <i>f<sub>o</sub></i>F<sub>2</sub> values calculated from the proposed model agree well with the trend in the monthly median statistical characteristics obtained from measurements. The results are better than those obtained from the International Reference Ionosphere model using both the CCIR and URSI coefficients. Furthermore, the proposed model has enabled some useful guidelines to be established for a more complete and accurate Asia regional or global model in the future.https://www.mdpi.com/2076-3417/9/16/3219ionosphereF2-layer critical frequencysimplified regional modellong-term predictioneast Asia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jian Wang Hongmei Bai Xiangdong Huang Yuebin Cao Qiang Chen Jianguo Ma |
spellingShingle |
Jian Wang Hongmei Bai Xiangdong Huang Yuebin Cao Qiang Chen Jianguo Ma Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia Applied Sciences ionosphere F2-layer critical frequency simplified regional model long-term prediction east Asia |
author_facet |
Jian Wang Hongmei Bai Xiangdong Huang Yuebin Cao Qiang Chen Jianguo Ma |
author_sort |
Jian Wang |
title |
Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia |
title_short |
Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia |
title_full |
Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia |
title_fullStr |
Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia |
title_full_unstemmed |
Simplified Regional Prediction Model of Long-Term Trend for Critical Frequency of Ionospheric F2 Region over East Asia |
title_sort |
simplified regional prediction model of long-term trend for critical frequency of ionospheric f2 region over east asia |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-08-01 |
description |
To improve the accuracy of predictions and simplify the difficulty with the algorithm, a simplified empirical model is proposed in developing a long-term predictive approach in determining the ionosphere’s F2-layer critical frequency (<i>f<sub>o</sub></i>F<sub>2</sub>). The main distinctive features introduced in this model are: (1) Its vertical incidence sounding data, which were obtained from 18 ionosonde stations in east Asia between 1949 and 2017, used in reconstructing the model and verification; (2) the use of second-order polynomial and triangle harmonic functions, instead of linear ones, to obtain the relationship between the seasonal vs. solar-cycle variations of <i>f<sub>o</sub></i>F<sub>2</sub> and solar activity parameters; (3) the flux of solar radio waves at 10.7 cm and sunspot number are together introduced in reconstructing the temporal characteristics of <i>f<sub>o</sub></i>F<sub>2</sub>; and (4) the use of the geomagnetic dip coordinates rather than geographic coordinates in reconstructing the spatial characteristics of <i>f<sub>o</sub></i>F<sub>2</sub>. The statistical results reveal that <i>f<sub>o</sub></i>F<sub>2</sub> values calculated from the proposed model agree well with the trend in the monthly median statistical characteristics obtained from measurements. The results are better than those obtained from the International Reference Ionosphere model using both the CCIR and URSI coefficients. Furthermore, the proposed model has enabled some useful guidelines to be established for a more complete and accurate Asia regional or global model in the future. |
topic |
ionosphere F2-layer critical frequency simplified regional model long-term prediction east Asia |
url |
https://www.mdpi.com/2076-3417/9/16/3219 |
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