Solid Earth
Solid Earth
SE
Articles | Volume 15, issue 2
Articles | Volume 15, issue 2
https://doi.org/10.5194/se-15-197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-15-197-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 2
Method article
 | 
09 Feb 2024
Method article |  | 09 Feb 2024

Earthquake monitoring using deep learning with a case study of the Kahramanmaras Turkey earthquake aftershock sequence

Wei Li, Megha Chakraborty, Jonas Köhler, Claudia Quinteros-Cartaya, Georg Rümpker, and Nishtha Srivastava

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 761 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
686 49 26 761 25 26
  • HTML: 686
  • PDF: 49
  • XML: 26
  • Total: 761
  • BibTeX: 25
  • EndNote: 26
Views and downloads (calculated since 05 Jul 2023)
Cumulative views and downloads (calculated since 05 Jul 2023)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 761 (including HTML, PDF, and XML) Thereof 698 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 May 2024
Download
Short summary
Seismic phase picking and magnitude estimation are crucial components of real-time earthquake monitoring and early warning. Here, we test the potential of deep learning in real-time earthquake monitoring. We introduce DynaPicker, which leverages dynamic convolutional neural networks for event detection and arrival-time picking, and use the deep-learning model CREIME for magnitude estimation. This workflow is tested on the continuous recording of the Turkey earthquake aftershock sequences.
Read more