中文版 | English
题名

Ionospheric disturbance analysis of the January 15, 2022 Tonga eruption based on GPS data

作者
通讯作者Chen, Kejie
发表日期
2023-08
DOI
发表期刊
ISSN
1674-7313
EISSN
1869-1897
卷号66页码:1798-1813
摘要
Hunga Tonga-Hunga Ha’apai climactic eruption on January 15, 2022, released enormous energy that affected the ionosphere over the Pacific Rim. We analyzed ionospheric disturbance following volcanic eruptions using near-field (<1000km), regional (1000–5000 km), and far-field (5000–12000 km) global positioning system (GPS) observations. The results indicate that the near-field ionospheric perturbation that occurred 8–15 min after the cataclysmic eruption was mainly derived from the shock wave (~1000 m/s) generated by the blast, while the low-frequency branch with long-distance propagation characteristics over the regional and the far-field was mainly associated with atmospheric Lamb waves (~330 m/s). Moreover, the amplitude of disturbance and background total electron content (TEC) are related proportionally. The intensity of the volcanic eruption and the background ionospheric conditions determine the magnitude of ionospheric responses. TEC perturbations were invisible on the reference days. Furthermore, the source location and onset time were calculated using the ray tracing technique, which confirms that the Tonga event triggered the ionospheric anomaly beyond the crater. Finally, the change in the frequency of the perturbations coincided with the arrival of the initial tsunami, implying the generation of a meteotsunami.
© 2023, Science China Press.
收录类别
EI ; SCI
语种
英语
学校署名
第一 ; 通讯
资助项目
We thank the responsible editor and two anonymous reviewers for their constructive comments. The raw GNSS data were archived by International GNSS Service (IGS, ftp://data-out.unavco.org/pub/), UNAVCO (ftp://data-out.unavco.org/pub/), GEONET Japan (https://terras.gsi.go.jp/), GeoNet New Zealand (https://www.geonet.org.nz), and Geoscience Australia (https://data.gnss.ga.gov.au/). We gratefully acknowledge the above institutions and communities for providing public access to GNSS data. Additionally, DART data were obtained from the New Zealand National Geohazards Centre (https://www.geonet.org.nz/tsunami/dart), and Wessel et al. provided the support of GMT mapping software. This work was supported by the National Natural Science Foundation of China (Grant Nos. 42074024, 41890813 & 41976066) and the Young Talent Promotion Project of the China Association for Science and Technology.We thank the responsible editor and two anonymous reviewers for their constructive comments. The raw GNSS data were archived by International GNSS Service (IGS, ftp://data-out.unavco.org/pub/ ), UNAVCO ( ftp://data-out.unavco.org/pub/ ), GEONET Japan ( https://terras.gsi.go.jp/ ), GeoNet New Zealand ( https://www.geonet.org.nz ), and Geoscience Australia ( https://data.gnss.ga.gov.au/ ). We gratefully acknowledge the above institutions and communities for providing public access to GNSS data. Additionally, DART data were obtained from the New Zealand National Geohazards Centre ( https://www.geonet.org.nz/tsunami/dart ), and Wessel et al. provided the support of GMT mapping software. This work was supported by the National Natural Science Foundation of China (Grant Nos. 42074024, 41890813 & 41976066) and the Young Talent Promotion Project of the China Association for Science and Technology.
出版者
EI入藏号
20232414211865
EI主题词
Ionosphere ; Ionospheric measurement ; Shock waves ; Surface waves ; Volcanoes
EI分类号
Atmospheric Properties:443.1 ; Seismology:484 ; Classical Physics; Quantum Theory; Relativity:931
来源库
EV Compendex
引用统计
被引频次[WOS]:4
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/706810
专题理学院_地球与空间科学系
工学院_海洋科学与工程系
作者单位
1.Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen; 518055, China
2.Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China
第一作者单位地球与空间科学系
通讯作者单位地球与空间科学系
第一作者的第一单位地球与空间科学系
推荐引用方式
GB/T 7714
Li, Jiafeng,Chen, Kejie,Chai, Haishan,et al. Ionospheric disturbance analysis of the January 15, 2022 Tonga eruption based on GPS data[J]. Science China Earth Sciences,2023,66:1798-1813.
APA
Li, Jiafeng.,Chen, Kejie.,Chai, Haishan.,Lin, Jian.,Zhou, Zhiyuan.,...&Lyu, Mingzhe.(2023).Ionospheric disturbance analysis of the January 15, 2022 Tonga eruption based on GPS data.Science China Earth Sciences,66,1798-1813.
MLA
Li, Jiafeng,et al."Ionospheric disturbance analysis of the January 15, 2022 Tonga eruption based on GPS data".Science China Earth Sciences 66(2023):1798-1813.
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