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Ionospheric phase scintillation index estimation based on 1 Hz geodetic GNSS receiver measurements by using continuous wavelet transform

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posted on 2022-12-06, 11:22 authored by Dongsheng Zhao, Wang Li, Chendong Li, Xu Tang, Qianxin Wang, Craig HancockCraig Hancock, Gethin Wyn Roberts, Kefei Zhang
The adverse effect of the ionospheric scintillation on Global Navigation Satellite System (GNSS) requires scintillation monitoring on a global scale. Ionospheric Scintillation Monitoring Receivers (ISMR) are usually adopted to monitor scintillation, while they are not suitable for global monitoring due to the 50 Hz data collecting rate, which restricts the distribution. This paper proposes a new method to extract the phase scintillation index from each GNSS carrier with 1s-sampling-interval, mainly based on the cycle slip detection, the geodetic detrending and the wavelet transform, in which the optimal symmetry parameter and the time-bandwidth product are determined with trial calculation. Taken the (Formula presented.) index provided by ISMR as the reference, 1-year observations are utilized to evaluate the scintillation monitoring performance of the extracted index regarding the correlation of the magnitude in each observation arc, the detected daily scintillation occurrence rate, the diurnal variation pattern of the ionospheric scintillation, the correlation between the scintillation occurrence rate and the space weather parameter, and the complementary cumulative distribution of the magnitudes. Compared to the performance of Rate of Total electron content Index, a higher consistency can be achieved between the extracted index and the (Formula presented.) index, indicating the rationality of applying the proposed method in monitoring scintillations. The extracted scintillation index can be expected to introduce geodetic receivers operating at 1s-sampling-interval into the field of ionospheric scintillation monitoring on a global scale.

Funding

GNSS+ water vapor detection research and its innovative application in extreme weather and climate change

National Natural Science Foundation of China

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Research on Error Characteristics and Optimization Algorithm of Fengyun-3 C Occultation Data

National Natural Science Foundation of China

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National Natural Science Foundation of China (NSFC). Grant Number: 42074226

MOE, Fundamental Research Funds for the Central Universities. Grant Numbers: 2020QN30, 2020QN31, 42074226

Natural Science Foundation of Jiangsu Province (Jiangsu Natural Science Foundation). Grant Numbers: BK20200664, BK20200646

Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University. Grant Number: 20-01-09

Open Research Fund of Key Laboratory of Land Environment and Disaster Monitoring, Ministry of Natural Resources, China university of mining and technology. Grant Number: LEDM2021B10

National Key Research and Development Program of China. Grant Number: 2020YFA0713502

Xuzhou Key Project. Grant Number: KC19111

Programme of Introducing Talents of Discipline to Universities. Grant Number: B20046

Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

History

School

  • Architecture, Building and Civil Engineering

Published in

Space Weather

Volume

20

Issue

4

Publisher

American Geophysical Union

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by American Geophysical Union under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2022-04-13

Publication date

2022-04-27

Copyright date

2022

eISSN

1542-7390

Language

  • en

Depositor

Dr Craig Hancock. Deposit date: 30 November 2022

Article number

e2021SW003015

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