Using open-science workflow tools to produce SCEC CyberShake physics-based probabilistic seismic hazard models
- 1Statewide California Earthquake Center, University of Southern California, Los Angeles, CA, United States
- 2United States Geological Survey, Earthquake Science Center, Pasadena, CA, United States
- 3Department of Geological Sciences, San Diego State University, San Diego, CA, United States
- 4San Diego Supercomputer Center, University of California, San Diego, San Diego, CA, United States
- 5Information Sciences Institute, University of Southern California, Marina del Rey, CA, United States
- 6Pacific Gas and Electric Company, San Francisco, CA, United States
- 7Department of Earth Sciences, University of Southern California, Los Angeles, CA, United States
A corrigendum on
Using open-science workflow tools to produce SCEC CyberShake physics-based probabilistic seismic hazard models
by Callaghan, S., Maechling, P. J., Silva, F., Su, M. –H., Milner, K. R., Graves, R. W., Olsen, K. B., Cui, Y., Vahi, K., Kottke, A., Goulet, C. A., Deelman, E., Jordan, T. H., and Ben-Zion, Y. (2024). Front. High Perform. Comput. 2:1360720. doi: 10.3389/fhpcp.2024.1360720
In the published article, there was an error in the Funding statement. A source of funding was omitted from the original Funding statement: “The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Southern California Earthquake Center with funding from National Science Foundation Cooperative Agreements EAR-1600087 and EAR-2225216 and United States Geological Survey Cooperative Agreements G17AC00047 and G22AC00070 (SCEC Contribution #13382). Additional support was provided by the Pacific Gas and Electric Company. This research used the Pegasus Workflow Management System funded by the National Science Foundation under the OAC SI2-SSI program, grant #1664162. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This computational work was performed using the DOE ALCC allocation, Improved Seismic Hazard Modeling Using Physics-based Simulations.” The additional source of funding should appear after “Additional support was provided by the Pacific Gas and Electric Company”.
The correct Funding statement appears below.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Southern California Earthquake Center with funding from National Science Foundation Cooperative Agreements EAR-1600087 and EAR-2225216 and United States Geological Survey Cooperative Agreements G17AC00047 and G22AC00070 (SCEC Contribution #13382). Additional support was provided by the Pacific Gas and Electric Company, and the National Science Foundation under Grant Number OAC-2311833 and OAC-2139536. This research used the Pegasus Workflow Management System funded by the National Science Foundation under the OAC SI2-SSI program, grant #1664162. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which was supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This computational work was performed using the DOE ALCC allocation, Improved Seismic Hazard Modeling Using Physics-based Simulations.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: scientific workflows, probabilistic seismic hazard analysis, high performance computing, seismic simulations, distributed computing, computational modeling
Citation: Callaghan S, Maechling PJ, Silva F, Su M-H, Milner KR, Graves RW, Olsen KB, Cui Y, Vahi K, Kottke A, Goulet CA, Deelman E, Jordan TH and Ben-Zion Y (2024) Corrigendum: Using open-science workflow tools to produce SCEC CyberShake physics-based probabilistic seismic hazard models. Front. High Perform. Comput. 2:1497384. doi: 10.3389/fhpcp.2024.1497384
Received: 16 September 2024; Accepted: 17 September 2024;
Published: 26 September 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Callaghan, Maechling, Silva, Su, Milner, Graves, Olsen, Cui, Vahi, Kottke, Goulet, Deelman, Jordan and Ben-Zion. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Scott Callaghan, c2NvdHRjYWwmI3gwMDA0MDt1c2MuZWR1