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: 2,128 (including HTML, PDF, and XML)
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1,782
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2,128
90
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HTML: 1,782
PDF: 284
XML: 62
Total: 2,128
BibTeX: 90
EndNote: 131
Views and downloads (calculated since 05 Jul 2023)
Cumulative views and downloads
(calculated since 05 Jul 2023)
Total article views: 1,849 (including HTML, PDF, and XML)
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1,503
284
62
1,849
86
128
HTML: 1,503
PDF: 284
XML: 62
Total: 1,849
BibTeX: 86
EndNote: 128
Views and downloads (calculated since 09 Feb 2024)
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
4
3
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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: 2,128 (including HTML, PDF, and XML)
Thereof 2,005 with geography defined
and 123 with unknown origin.
Total article views: 1,849 (including HTML, PDF, and XML)
Thereof 1,739 with geography defined
and 110 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...
