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- June 12, 2024
[Frontier Letter] Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly progressed in various fields of earthquake seismology, achieving great success. In this paper, we review the recent advances, focusing on catalog development, seismicity analysis, ground-motion prediction, and crustal deformation analysis. The efficiency, accuracy, and flexibility of machine learning are the driving forces behind the establishment of its usage for various tasks in earthquake seismology. There remain many problems where machine learning can effectively solve, and its application will further expand and advance our knowledge of earthquake seismology.
- Kubo et al. (2024): Recent advances in earthquake seismology using machine learning. Earth Planets Space 76:36, https://doi.org/10.1186/s40623-024-01982-0
![[Frontier Letter] Recent advances in earthquake seismology using machine learning](https://www.earth-planets-space.org/wp-content/uploads/2024/06/40623_2024_1982_Figa_HTML-80x33.png)
![[Frontier Letter] Simulation study of atmosphere–ionosphere variations driven by the eruption of Hunga Tonga-Hunga Ha’apai on 15 January 2022](https://www.earth-planets-space.org/wp-content/uploads/2023/11/Figure_20240227-1-80x38.jpg)
