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Validating ionospheric scintillation indices extracted from 30s-sampling-interval GNSS geodetic receivers with long-term ground and in-situ observations in high-latitude regions

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posted on 20.09.2022, 13:56 authored by Dongsheng Zhao, Qianxin Wang, Wang Li, Shuangshuang Shi, Yiming Quan, Craig HancockCraig Hancock, Gethin Wyn Roberts, Kefei Zhang, Yu Chen, Xin Liu, Zemin Hao, Shuanglei Cui, Xueli Zhang, Xing Wang
As a frequently-occurred phenomenon in the high-latitude region, ionospheric scintillations affect the stable service of the positioning navigation and timing service of the Global Navigation Satellite System (GNSS), calling for an urgent need of monitoring the scintillations accurately. The monitoring of scintillations usually adopts a special type of receiver, called an ionospheric scintillation monitoring receiver (ISMR), which cannot cover the whole high-latitude region due to its loss distribution. Geodetic receivers are densely distributed, but set at a 30s-sampling-interval usually. It is a controversial issue, namely, the accuracy of the scintillation index extracted from 30s-sampling-interval observations. This paper evaluates the accuracy of two 30s-sampling-interval indices in monitoring scintillations from both the time and space aspects using observations collected in the whole year of 2020. The accuracy in the time aspect is assessed with the phase scintillation index from ISMR as the reference through the following three-pronged approaches, i.e., the accuracy of the daily scintillation occurrence rates in the year 2020, the correlation with space weather parameters, and the variation pattern of the scintillation occurrence rate with the local time and day of the year 2020. The accuracy in space is studied based on the scintillation grid model considering the following two aspects, i.e., the scintillation monitoring performance in a Swarm satellite observation arc, and the statistical scintillation occurrence rate in the whole research region throughout the year 2020. The results of this paper reveal the efficiency of the 30s-sampling-interval scintillation indices in monitoring scintillations and detecting the occurrence patterns in the high-latitude region. The outcome of this paper can provide a basic idea for introducing the widely distributed geodetic receivers to monitor and model the scintillations in the high-latitude region.

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 Foundations of China no. 42074226

Fundamental Research Funds for the Central Universities (2020CXNL08, 2020QN30)

Natural Science Foundation of Jiangsu Province (Nos. BK20200664, BK20200646, BK20191342

Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University (No. 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 (No. LEDM2021B10)

National Key Research and Development Program of China (No. 2020YFA0713502)

Xuzhou Key Project (No. KC19111)

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

Programme of Introducing Talents of Discipline to Universities (No. B20046)

Jiangsu Dual Creative Doctors Project

History

School

  • Architecture, Building and Civil Engineering

Published in

Remote Sensing

Volume

14

Issue

17

Publisher

MDPI

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is an Open Access article published by MDPI and distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).

Acceptance date

26/08/2022

Publication date

2022-08-29

Copyright date

2022

eISSN

2072-4292

Language

en

Depositor

Dr Craig Hancock. Deposit date: 20 September 2022

Article number

4255