Home Investigating the preparation phase of volcanic eruptions using Swarm and GPS-TEC satellite data: The case of the 29 May 2024 Iceland-Sundhnúkur volcanic eruption
Article
Licensed
Unlicensed Requires Authentication

Investigating the preparation phase of volcanic eruptions using Swarm and GPS-TEC satellite data: The case of the 29 May 2024 Iceland-Sundhnúkur volcanic eruption

  • Mehdi Akhoondzadeh EMAIL logo
Published/Copyright: June 27, 2025
Become an author with De Gruyter Brill

Abstract

In the last 6 months, 5 eruptions have been reported at the location of Iceland’s volcanoes. In this study using the electron density and temperature data measured by the LP sensor onboard the Swarm satellites (A, B, C), the volcanic ionospheric anomalies around the location and time of the Sundhnúkur volcano have been investigated. Most parameters measured by the three Swarm satellites show striking anomalies on 34 and 8 days before the eruption. Also, in this study, GPS-TEC data were used as a volcanic precursor, and median-interquartile method was implemented to detect hidden and highly nonlinear volcano-ionospheric anomalies. This precursor detected clear anomalies in the time interval of 8 days before the eruption. Also, the values of AOD (Aerosol Optical Depth) parameter indicate abnormal behavior on 9 days prior to the event. To reduce the uncertainty of the detected volcanic anomalies, a confutation analysis was also performed, and no clear anomalies were observed in the same spatial and temporal interval studied, but in 2019. The observed anomalies are consistent with geological and seismic reports. For more detailed analysis, we separately investigated the tracks of the satellites crossing the volcano’s buffer zone. Observed anomalies in the time series analysis were acknowledged. Therefore, the results of this study emphasizes that Swarm satellite data, along with other satellite and field data, can be used to predict, detect and track volcanic activities and it is shown that by comparison with other lithospheric and atmospheric precursors, uncertainty in eruption prediction can be reduced.


Corresponding author: Mehdi Akhoondzadeh, Laboratory of Remote Sensing of Natural Hazards, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran, E-mail: 

Acknowledgments

The author would like to acknowledge the Space Weather Canada for the solar data that are freely available at https://www.spaceweather.gc.ca/solarflux/sx-5-flux-en.php, Giovanni web site for the atmospheric data that are freely available at http://giovanni.sci.gsfc.nasa.gov/giovanni/, the European Space Agency (ESA) for the Swarm data that are freely available at HTTP or FTP (anonymous login) server: swarm-diss.eo.esa.int and NASA NOAA for the geomagnetic indices that are freely available at https://www.ngdc.noaa.gov/geomag/indices/indices.html.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: Conceptualisation, methodology, software, data curation, and writing —original draft preparation by M.A.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: No funding.

  7. Data availability: The raw data can be obtained on request from the corresponding author.

References

1. Pritchard, ME, Simons, M. An InSAR-based survey of volcanic deformation in the central Andes. Geochem Geophys Geosyst 2004;5:2. https://doi.org/10.1029/2003GC000610.Search in Google Scholar

2. Coppola, D, Laiolo, M, Cigolini, C, Massimetti, F, Delle Donne, D, Ripepe, M, et al.. Thermal remote sensing for global volcano monitoring: experiences from the MIROVA system. Front Earth Sci 2020;7:362. https://doi.org/10.3389/feart.2019.00362.Search in Google Scholar

3. Piscini, A, Marchetti, D, De, SA. Multi-parametric climatological analysis associated with global significant volcanic eruptions during 2002–2017. Pure Appl Geophys 2020;176:3629–47.10.1007/s00024-019-02147-xSearch in Google Scholar

4. Marchetti, D, Zhu, K, Zhang, H, Zhima, Z, Yan, R, Shen, X, et al.. Clues of lithosphere, atmosphere and ionosphere variations possibly related to the preparation of La Palma 19 September 2021 volcano eruption. Remote Sens 2022;14:5001. https://doi.org/10.3390/rs14195001.Search in Google Scholar

5. Feng, J, Yuan, Y, Zhang, T, Zhang, Z, Meng, D. Analysis of ionospheric anomalies before the Tonga volcanic eruption on 15 January 2022. Remote Sens 2023;15:4879. https://doi.org/10.3390/rs15194879.Search in Google Scholar

6. Akhoondzadeh, M. Monitoring of volcanic precursors using satellite data: the case of Taftan volcano in Iran. J Appl Geodesy 2024;19:1–19. https://doi.org/10.1515/jag-2024-0049.Search in Google Scholar

7. Brown, SK, Auker, MR, Sparks, RSJ. Populations around Holocene volcanoes and development of a population exposure index. In: Loughlin, SC, Sparks, RSJ, Brown, SK, Jenkins, SF, Vye Brown, C, editors. Global Volcanic Hazards and Risk. Cambridge: Cambridge University Press; 2015:223–32 pp.10.1017/CBO9781316276273.006Search in Google Scholar

8. Poland, MP, Lopez, T, Wright, R, Pavolonis, MJ. Forecasting, detecting, and tracking volcanic eruptions from space. Remote Sens Earth Syst Sci 2020;3:55–94. https://doi.org/10.1007/s41976-020-00034-x.Search in Google Scholar

9. Harris, A. Thermal remote sensing of active volcanoes: a user’s manual. Cambridge, MA: Cambridge University Press; 2013.10.1017/CBO9781139029346Search in Google Scholar

10. Ramsey, MS, Harris, AJL. Volcanology 2020: how will thermal remote sensing of volcanic surface activity evolve over the next decade? (invited review article). J Volcanol Geotherm Res 2013;249:217–33. https://doi.org/10.1016/j.jvolgeores.2012.05.011.Search in Google Scholar

11. De Santis, A, Balasis, G, Pavon-Carrasco, FJ, Cianchini, G, Mandea, M. Potential earthquake precursory pattern from space: the 2015 Nepal event as seen by magnetic Swarm satellites. Earth Planet Sci Lett 2017;461:119–26. https://doi.org/10.1016/j.epsl.2016.12.037.Search in Google Scholar

12. Haagmans, R, Bock, R, Rider, H. Swarm; ESA’s magnetic field mission; 2013. Available from: https://earth.esa.int/documents/700255/1805948/ESA+magnetic+field+mission/36942f02-b2d4-4787-af81-eb19efb74265.Search in Google Scholar

13. Akhoondzadeh, M, De Santis, A, Marchetti, D, Piscini, A, Cianchini, G. Multi precursors analysis associated with the powerful Ecuador (MW=7.8) earthquake of 16 April 2016 using Swarm satellites data in conjunction with other multi-platform satellite and ground data. Adv Space Res 2018;61:248–63. https://doi.org/10.1016/j.asr.2017.07.014.Search in Google Scholar

14. Mayaud, PN. Derivation, Meaning and use of geomagnetic indices. Geophy. Washington, D. C: American Geo. Union; 1980, 22.10.1029/GM022Search in Google Scholar

15. https://www.volcanodiscovery.com/earthquakes/quake-info/9409766/mag4quake-May-29-2024-Iceland-11-km-NE-of-Sundhnukur.html.Search in Google Scholar

16. Dobrovolsky, IR, Zubkov, SI, Myachkin, VI. Estimation of the size of earthquake preparation zones. Pure Appl Geophys 1979;117:1025–44.10.1007/BF00876083Search in Google Scholar

17. Rishbeth, H, Mendillo, M. Patterns of F2-layer variability. J Atmos Sol Terr Phys 2001;63:1661–80. https://doi.org/10.1016/s1364-6826(01)00036-0.Search in Google Scholar

18. Pulinets, SA, Legen, AD, Gaivoronskaya, TV, Depuev, VK. Main phenomenological features of ionospheric precursors of strong earthquakes. J Atmos Sol Terr Phys 2003;65:1337–47.10.1016/j.jastp.2003.07.011Search in Google Scholar

19. Liu, JY, Chuo, YJ, Shan, SJ, Tsai, YB, Chen, YI, Pulinets, SA, et al.. Pre-earthquake-ionospheric anomalies registered by continuous GPS TEC. Ann Geophys 2004;22:1585–93. https://doi.org/10.5194/angeo-22-1585-2004.Search in Google Scholar

20. Pulinets, SA, Boyarchuk, KA. Ionospheric precursors of earthquakes. Berlin: Springer; 2004.Search in Google Scholar

21. Akhoondzadeh, M, Parrot, M, Saradjian, MR. Electron and ion density variations before strong earthquakes (M>6.0) using DEMETERand GPS data. Nat Hazards Earth Syst Sci 2010;10:7–18. https://doi.org/10.5194/nhess-10-7-2010.Search in Google Scholar

Received: 2025-01-27
Accepted: 2025-05-28
Published Online: 2025-06-27

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 23.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/jag-2025-0010/html
Scroll to top button