Editorial| March 25, 2024 Early Publication Strengthening the Development and Use of "Deep" Seismic Event Catalogs Yongsoo Park; Yongsoo Park * 1Los Alamos National Laboratory, National Security Earth Science, Los Alamos, New Mexico, U.S.A. *Corresponding author: ysp@lanl.gov https://orcid.org/0000-0001-5466-8004 Search for other works by this author on: GSW Google Scholar Gregory C. Beroza; Gregory C. Beroza 2Department of Geophysics, Stanford University, Stanford, California, U.S.A. https://orcid.org/0000-0002-8667-1838 Search for other works by this author on: GSW Google Scholar William L. Ellsworth William L. Ellsworth 2Department of Geophysics, Stanford University, Stanford, California, U.S.A. https://orcid.org/0000-0001-8378-4979 Search for other works by this author on: GSW Google Scholar Author and Article Information Yongsoo Park https://orcid.org/0000-0001-5466-8004 * 1Los Alamos National Laboratory, National Security Earth Science, Los Alamos, New Mexico, U.S.A. Gregory C. Beroza https://orcid.org/0000-0002-8667-1838 2Department of Geophysics, Stanford University, Stanford, California, U.S.A. William L. Ellsworth https://orcid.org/0000-0001-8378-4979 2Department of Geophysics, Stanford University, Stanford, California, U.S.A. *Corresponding author: ysp@lanl.gov Publisher: Seismological Society of America First Online: 25 Mar 2024 Online ISSN: 1938-2057 Print ISSN: 0895-0695 © Seismological Society of America Seismological Research Letters (2024) https://doi.org/10.1785/0220240044 Article history First Online: 25 Mar 2024 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Yongsoo Park, Gregory C. Beroza, William L. Ellsworth; Strengthening the Development and Use of "Deep" Seismic Event Catalogs. Seismological Research Letters 2024; doi: https://doi.org/10.1785/0220240044 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search The development of seismic event catalogs has undergone a revolution due to the combination of increasingly available continuous waveform data with advanced methods for detecting events and phase arrival times. This began with template matching but has accelerated and generalized with the development of deep learning methods for detecting phase arrival times. Some of the most popular deep learning models for detecting phase arrival times (Zhu and Beroza, 2019; Mousavi et al., 2020) have been applied to a range of applications from quickly delivering refined catalogs of aftershocks after a major event (Liu et al.... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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