{"title":"评估由 GNSS-TEC 数据驱动的 IRI-2016 电子密度模型","authors":"Jing Peng, Yunbin Yuan, Yanwen Liu, Hongxing Zhang, Ting Zhang, Yifan Wang, Zelin Dai","doi":"10.3390/atmos15080958","DOIUrl":null,"url":null,"abstract":"The ionosphere is one of the important error sources that affect the communication of radio signals. The international reference ionosphere (IRI) model is a commonly used model to describe ionospheric parameters. The driving parameter IG12 of the IRI-2016 model was optimally updated based on GNSS-TEC data from 2015 and 2019. The electron density profiles and NmF2 calculated by the IRI-2016 model (upda-IRI-2016) driven by the updated IG12 value (IG-up) were evaluated for their accuracy using ionosonde observations and COSMIC inversion data. The experiments show that both the electron density profiles and NmF2 calculated by upda-IRI-2016 driven by IG-up show significant optimization effects, compared to the IRI-2016 model driven by IG12. For electron density, the precision improvement (PI) for both MAE and RMSE at the Beijing station exceed 31.2% in January 2015 and 16.0% in January 2019. While the PI of MAE and RMSE at the Wuhan station, which is located at a lower latitude, both exceed 32.5% in January 2015, both exceed 42.1% in January 2019, which is significantly higher than that of the Beijing station. In 2015, the PI of MAE and RMSE compared with COSMIC are both higher than 20%. For NmF2, the PI is greater for low solar activity years and low latitude stations, with the Wuhan station showing a PI of more than 11.7% in January 2019 compared to January 2015. The PI compared to COSMIC was higher than 17.2% in 2015.","PeriodicalId":8580,"journal":{"name":"Atmosphere","volume":"8 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of GNSS-TEC Data-Driven IRI-2016 Model for Electron Density\",\"authors\":\"Jing Peng, Yunbin Yuan, Yanwen Liu, Hongxing Zhang, Ting Zhang, Yifan Wang, Zelin Dai\",\"doi\":\"10.3390/atmos15080958\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ionosphere is one of the important error sources that affect the communication of radio signals. The international reference ionosphere (IRI) model is a commonly used model to describe ionospheric parameters. The driving parameter IG12 of the IRI-2016 model was optimally updated based on GNSS-TEC data from 2015 and 2019. The electron density profiles and NmF2 calculated by the IRI-2016 model (upda-IRI-2016) driven by the updated IG12 value (IG-up) were evaluated for their accuracy using ionosonde observations and COSMIC inversion data. The experiments show that both the electron density profiles and NmF2 calculated by upda-IRI-2016 driven by IG-up show significant optimization effects, compared to the IRI-2016 model driven by IG12. For electron density, the precision improvement (PI) for both MAE and RMSE at the Beijing station exceed 31.2% in January 2015 and 16.0% in January 2019. While the PI of MAE and RMSE at the Wuhan station, which is located at a lower latitude, both exceed 32.5% in January 2015, both exceed 42.1% in January 2019, which is significantly higher than that of the Beijing station. In 2015, the PI of MAE and RMSE compared with COSMIC are both higher than 20%. For NmF2, the PI is greater for low solar activity years and low latitude stations, with the Wuhan station showing a PI of more than 11.7% in January 2019 compared to January 2015. The PI compared to COSMIC was higher than 17.2% in 2015.\",\"PeriodicalId\":8580,\"journal\":{\"name\":\"Atmosphere\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atmosphere\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.3390/atmos15080958\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmosphere","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.3390/atmos15080958","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
电离层是影响无线电信号通信的重要误差源之一。国际参考电离层(IRI)模型是描述电离层参数的常用模型。根据 2015 年和 2019 年的 GNSS-TEC 数据,对 IRI-2016 模型的驱动参数 IG12 进行了优化更新。利用电离层观测数据和COSMIC反演数据,评估了IRI-2016模型(upda-IRI-2016)在更新的IG12值(IG-up)驱动下计算的电子密度剖面和NmF2的准确性。实验表明,与IG12驱动的IRI-2016模型相比,IG-up驱动的upda-IRI-2016计算的电子密度剖面和NmF2都有显著的优化效果。在电子密度方面,北京站的 MAE 和 RMSE 精度改进(PI)在 2015 年 1 月和 2019 年 1 月分别超过 31.2% 和 16.0%。而纬度较低的武汉站的 MAE 和 RMSE 的 PI 在 2015 年 1 月均超过 32.5%,2019 年 1 月均超过 42.1%,明显高于北京站。与 COSMIC 相比,2015 年 MAE 和 RMSE 的 PI 均高于 20%。对于 NmF2,低太阳活动年和低纬度站点的 PI 更大,武汉站 2019 年 1 月与 2015 年 1 月相比 PI 超过 11.7%。与 COSMIC 相比,2015 年的 PI 高于 17.2%。
Evaluation of GNSS-TEC Data-Driven IRI-2016 Model for Electron Density
The ionosphere is one of the important error sources that affect the communication of radio signals. The international reference ionosphere (IRI) model is a commonly used model to describe ionospheric parameters. The driving parameter IG12 of the IRI-2016 model was optimally updated based on GNSS-TEC data from 2015 and 2019. The electron density profiles and NmF2 calculated by the IRI-2016 model (upda-IRI-2016) driven by the updated IG12 value (IG-up) were evaluated for their accuracy using ionosonde observations and COSMIC inversion data. The experiments show that both the electron density profiles and NmF2 calculated by upda-IRI-2016 driven by IG-up show significant optimization effects, compared to the IRI-2016 model driven by IG12. For electron density, the precision improvement (PI) for both MAE and RMSE at the Beijing station exceed 31.2% in January 2015 and 16.0% in January 2019. While the PI of MAE and RMSE at the Wuhan station, which is located at a lower latitude, both exceed 32.5% in January 2015, both exceed 42.1% in January 2019, which is significantly higher than that of the Beijing station. In 2015, the PI of MAE and RMSE compared with COSMIC are both higher than 20%. For NmF2, the PI is greater for low solar activity years and low latitude stations, with the Wuhan station showing a PI of more than 11.7% in January 2019 compared to January 2015. The PI compared to COSMIC was higher than 17.2% in 2015.
期刊介绍:
Atmosphere (ISSN 2073-4433) is an international and cross-disciplinary scholarly journal of scientific studies related to the atmosphere. It publishes reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.