Frankfurt Institute for Advanced Studies, 60438 Frankfurt am Main, Germany
Institute of Geosciences, Goethe University, 60438 Frankfurt am Main, Germany
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Total article views: 2,942 (including HTML, PDF, and XML)
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2,942
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PDF: 324
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Total article views: 2,663 (including HTML, PDF, and XML)
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2,260
324
79
2,663
104
147
HTML: 2,260
PDF: 324
XML: 79
Total: 2,663
BibTeX: 104
EndNote: 147
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Cumulative views and downloads
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Total article views: 279 (including HTML, PDF, and XML)
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279
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279
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Views and downloads (calculated since 05 Jul 2023)
Cumulative views and downloads
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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: 2,942 (including HTML, PDF, and XML)
Thereof 2,632 with geography defined
and 310 with unknown origin.
Total article views: 2,663 (including HTML, PDF, and XML)
Thereof 2,366 with geography defined
and 297 with unknown origin.
Total article views: 279 (including HTML, PDF, and XML)
Thereof 266 with geography defined
and 13 with unknown origin.
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.
Seismic phase picking and magnitude estimation are crucial components of real-time earthquake...
