Evaluation of GNSS-TEC Data-Driven IRI-2016 Model for Electron Density

Author:

Peng Jing1,Yuan Yunbin2,Liu Yanwen23,Zhang Hongxing2,Zhang Ting23ORCID,Wang Yifan1,Dai Zelin1

Affiliation:

1. Joint Laboratory of Power Remote Sensing Technology, Electric Power Research Institute, Yunnan Power Grid Company Ltd., Kunming 650217, China

2. State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China

3. University of Chinese Academy of Sciences, Beijing 100049, China

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.

Funder

Science and Technology Project of the China Southern Power Grid Yunnan Power Grid Company Ltd.

Publisher

MDPI AG

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