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
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DOI | |
发表期刊 | |
ISSN | 1674-7313
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EISSN | 1869-1897
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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 | |
语种 | 英语
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学校署名 | 第一
; 通讯
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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.
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出版者 | |
EI入藏号 | 20232414211865
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EI主题词 | Ionosphere
; Ionospheric measurement
; Shock waves
; Surface waves
; Volcanoes
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EI分类号 | Atmospheric Properties:443.1
; Seismology:484
; Classical Physics; Quantum Theory; Relativity:931
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来源库 | EV Compendex
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引用统计 |
被引频次[WOS]:4
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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.
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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.
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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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条目包含的文件 | 条目无相关文件。 |
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