Modeling TEC Maps Over China Using Particle Swarm Optimization Neural Networks and Long‐Term Ground‐Based GPS, COSMIC, and Fengyun Data

Shi, Shuangshuang; Zhang, Kefei; Shi, Jiaqi; Hu, Andong; Zhao, Dongsheng; Shi, Zhongchao; Sun, Peng; Wu, Huajing; Wu, Suqin

doi:10.1029/2022sw003357

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Modeling TEC Maps Over China Using Particle Swarm Optimization Neural Networks and Long‐Term Ground‐Based GPS, COSMIC, and Fengyun Data

2023
By Shi, Shuangshuang ; Zhang, Kefei ; Shi, Jiaqi ; ...
Source: Space Weather, 21(4)

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Journal Title:

Space Weather
Personal Author:

Shi, Shuangshuang ; Zhang, Kefei ; Shi, Jiaqi ; Hu, Andong ; Zhao, Dongsheng ; ... More +

Shi, Shuangshuang ; Zhang, Kefei ; Shi, Jiaqi ; Hu, Andong ; Zhao, Dongsheng ; Shi, Zhongchao ; Sun, Peng ; Wu, Huajing ; Wu, Suqin Less -
NOAA Program & Office:

CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

This paper presents a new model for ionospheric total electron content (TEC) over China. The new model is developed using a hybrid method composed of the particle swarm optimization (PSO) and artificial neural network and long-term observations from 257 ground-based global navigation satellite systems (GNSS) stations and space-borne GNSS radio occultation systems (COSMIC and Fengyun) during the 14-year period of 2008–2021. The PSO algorithm is used to optimize the traditional back-propagation neural network (BP-NN) model by reducing the effects of the local minimum problem. The new model is validated using out-of-sample data, and its results are compared to the BP-NN, IRI-2016 model, and global ionospheric
Keywords:

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Atmospheric Science
Source:

Space Weather, 21(4)
DOI:

https://doi.org/10.1029/2022sw003357
ISSN:

1542-7390;1542-7390;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
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https://creativecommons.org/licenses/by-nc-nd/4.0/
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CC BY-NC-ND
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Library
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urn:sha256:be0b9091a34ac6ce2b1cdc105fd3635194b350fa5349a1cbef74fa0708576661
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https://repository.library.noaa.gov/view/noaa/54676/noaa_54676_DS1.pdf
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