Abstract
During February 2023, a total of 32 individual DAS systems acted jointly as a global seismic monitoring network. The aim of this Global DAS Month campaign was to coordinate a diverse network of organizations, instruments, and file formats in order to gain knowledge and move toward the next generation of earthquake monitoring networks. During this campaign, 156 earthquakes of magnitude 5 or larger were reported by the USGS and contributors shared data for 60 min after each event’s origin time. Participating systems represent a variety of manufacturers, a range of recording parameters, and varying cable emplacement settings (e.g., shallow burial, borehole, subaqueous, dark fiber). Monitored cable lengths vary between 152 and 120129 m, with channel spacing between 1 and 49 m. The data has a total size of 6.8 TB, and is available for free download. Organizing and executing the Global DAS Month has produced a unique dataset for further exploration and highlighted areas of further development for the seismological community to address.
| Original language | English |
|---|---|
| Pages (from-to) | 1569-1577 |
| Number of pages | 9 |
| Journal | Seismological Research Letters |
| Volume | 95 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 2024 |
Funding
Significant community engagement took place under the umbrella of the distributed acoustic sensing (DAS) Research Coordination Network (National Science Foundation [NSF] Grant Number EAR-1948737). Initial discussion was supported by the Air Force Research Laboratory through Grant Number FA9453-21-2-0018. A. W. thanks all contributors for discussing data formats. Z. J. S. acknowledges support from the NSF through Grant Number EAR2022716. The Global DAS Month relied on voluntary contributions from various organizations, and the authors are grateful to them for making this possible. Each institution, as referred to their number in Table 1, acknowledge the following: [1] thank Kuo-Lung Wang, Ching-Chou Fu, and Chin-Shang Ku for field support. Funding support from the Academia Sinica Career Development Award (Grant Number AS-CDA-111-M01). [2] thank the MiDAS team, Chin-Jen Lin, and Chin-Shang Ku from IESAS for technical support and data management. This grant is supported by Academia Sinica Grand Challenge Program (Number AS-GC-109-11). [3] thank InPAC lab at RMIT and AARTNet for providing access to the ALIRT fiber. AuScope and the Australian Government enabled the project via the National Collaborative Research Infrastructure Strategy (NCRIS). [4] thank Schweizerische S\u00FCdostbahn AG for providing data access. [5] thank the Bedretto BULGG for providing access to their borehole fibers, and the Bedretto Team and FEBUS optics for their continued support. [6] thank ETH, and specifically the ETH-Domain grants for Open Research Data (ORD) Explore projects for funding. [8] thank Disentis Bergbahnen for the access to their fiber-optic systems and continuous support before, during and after the acquisition, as well as the European Union\u2019s Horizon 2020 research and innovation program under the Marie Sk\u0142odowska-Curie Grant Agreement Number 955515. [10] thank Landsvirkjun for providing access to the geothermal site and the telecom cable; Project funding by Helmholtz Association, and geoPuR project funded by the European Regional Development Fund (ERDF) and the \u201CInvestitions und Landesbank Brandenburg\u201D (ILB) under the contract 85037956, and Improve ETN from the Horizon 2020 research and Innovation program under the grant agreement 858092, and and SPIN ITN from the horizon 2020 research and Innovation program under the Marie Sk\u0142odowska-Curie Grant Agreement Number 955515. This work was also supported by the European Union\u2019s Horizon 2020 Research and Innovation Program (Geo-INQUIRE Gareth Phillips for extensive field support at Eskdalemuir. Funding support from AWE/Blacknest, and NERC Grant Numbers NE/ T012684/1, NE/X005496/1, and NE/S00677X/1. University of Leeds Fiber-Optic Sensing Facility loan UOL-FOF-0002. [16] thank Silixa for providing an iDAS interrogator and acknowledge support through the German Research Foundation (Grant Number LI3721/2-1), ERC-Advanced Project ROMY, UFS Schneefernerhaus GmbH and A1 Telekom Austria AG. [18] thank Yong Chen, You-Yi Ruan, Tao Wang, and Wei Liu for their support during field instrumentation and data processing. Funding support from the National Natural Science Foundation of China (Grant Number 42225702). [19] thank the Norwegian research council for partially funding the NORFOX array under Grant Number 296486. [20] thank CGF (Grant Number 309960) and the Research Council of Norway for funding the acquisition. They also thank ASN for the support during the acquisition and Sikt for accessing the fiber optic cables. [21] acknowledge Fervo Energy and particularly Aleksei Titov, Sireesh Dadi, and Jack Norbeck for generous access to the DAS fiber in Blue Mountain well 73-22. [22] full acknowledgements are provided in the SandiaNL-Coupling dataset\u2019s README.txt. [24] thank 3 Rivers Communications for their kind hospitality. [25] thank OptaSense Inc. for loaning the interrogator unit and the Stanford ITS fiber team for crucial help with the Stanford DAS-2 experiment. [28] thank all colleagues from the Geophysics team of the Department of Ocean Science and Engineering, SUSTech, particularly Zhen Guo, and Yongshun John Chen, for providing crucial support in the Xinfengjiang DAS project. [29] thank all colleagues from Sternberg Astronomical Institute, Moscow State University, for accommodating the equipment at their facility in Caucaus and providing technical assistance. [30] thank Tampnet and ASN for permission to publish the results. [31] thank the central IT Services of Graz University of Technology for providing access to the telecommunication cable. [32] thank N. Lord, D. Fratta, A. Chavarria, R. Sutyla B. Pietzyk, L. Scott, J. Tollefson, M. Hephner, T. Artz, and W. Roggenthen for DAS deployment and AFRL and University of Wisconsin-Madison for funding.