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: 3,071 (including HTML, PDF, and XML)
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2,527
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PDF: 445
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BibTeX: 127
EndNote: 165
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Cumulative views and downloads
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Total article views: 1,501 (including HTML, PDF, and XML)
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1,477
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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: 4,572 (including HTML, PDF, and XML)
Thereof 4,245 with geography defined
and 327 with unknown origin.
Total article views: 3,071 (including HTML, PDF, and XML)
Thereof 2,758 with geography defined
and 313 with unknown origin.
Total article views: 1,501 (including HTML, PDF, and XML)
Thereof 1,487 with geography defined
and 14 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...
