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Title: An Adaptable Seismic Data Format

Abstract

We present ASDF, the Adaptable Seismic Data Format, a modern and practical data format for all branches of seismology and beyond. The growing volume of freely available data coupled with ever expanding computational power opens avenues to tackle larger and more complex problems. Current bottlenecks include inefficient resource usage and insufficient data organization. Properly scaling a problem requires the resolution of both these challenges, and existing data formats are no longer up to the task. ASDF stores any number of synthetic, processed or unaltered waveforms in a single file. A key improvement compared to existing formats is the inclusion of comprehensive meta information, such as event or station information, in the same file. Additionally, it is also usable for any non-waveform data, for example, cross-correlations, adjoint sources or receiver functions. Last but not least, full provenance information can be stored alongside each item of data, thereby enhancing reproducibility and accountability. Any data set in our proposed format is self-describing and can be readily exchanged with others, facilitating collaboration. The utilization of the HDF5 container format grants efficient and parallel I/O operations, integrated compression algorithms and check sums to guard against data corruption. To not reinvent the wheel and to buildmore » upon past developments, we use existing standards like QuakeML, StationXML, W3C PROV and HDF5 wherever feasible. Usability and tool support are crucial for any new format to gain acceptance. We developed mature C/Fortran and Python based APIs coupling ASDF to the widely used SPECFEM3D_GLOBE and ObsPy toolkits.« less

Authors:
 [1];  [2];  [2];  [2];  [2];  [3]; ORCiD logo [4];  [5];  [6]
+ Show Author Affiliations
  1. Ludwig Maximilian Univ., Munich (Germany). Dept. of Earth and Environmental Sciences
  2. Princeton Univ., NJ (United States). Dept. of Geosciences
  3. Univ. of Toronto, ON (Canada). Dept. of Physics
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Univ. of Nice Sophia Antipolis, Valbonne (France). Géoazur Lab.
  6. Princeton Univ., NJ (United States). Dept. of Geosciences, Program in Applied & Computational Mathematics
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF); Natural Sciences and Engineering Research Council of Canada (NSERC)
OSTI Identifier:
1559753
Grant/Contract Number:  
AC05-00OR22725; 1112906; 487237
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Volume: 207; Journal Issue: 2; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Time-series analysis; Seismic tomography; Computational seismology; Wave propagation

Citation Formats

Krischer, Lion, Smith, James, Lei, Wenjie, Lefebvre, Matthieu, Ruan, Youyi, de Andrade, Elliott Sales, Podhorszki, Norbert, Bozdağ, Ebru, and Tromp, Jeroen. An Adaptable Seismic Data Format. United States: N. p., 2016. Web. doi:10.1093/gji/ggw319.
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Krischer, Lion, Smith, James, Lei, Wenjie, Lefebvre, Matthieu, Ruan, Youyi, de Andrade, Elliott Sales, Podhorszki, Norbert, Bozdağ, Ebru, & Tromp, Jeroen. An Adaptable Seismic Data Format. United States. https://doi.org/10.1093/gji/ggw319
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Krischer, Lion, Smith, James, Lei, Wenjie, Lefebvre, Matthieu, Ruan, Youyi, de Andrade, Elliott Sales, Podhorszki, Norbert, Bozdağ, Ebru, and Tromp, Jeroen. Thu . "An Adaptable Seismic Data Format". United States. https://doi.org/10.1093/gji/ggw319. https://www.osti.gov/servlets/purl/1559753.
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@article{osti_1559753,
title = {An Adaptable Seismic Data Format},
author = {Krischer, Lion and Smith, James and Lei, Wenjie and Lefebvre, Matthieu and Ruan, Youyi and de Andrade, Elliott Sales and Podhorszki, Norbert and Bozdağ, Ebru and Tromp, Jeroen},
abstractNote = {We present ASDF, the Adaptable Seismic Data Format, a modern and practical data format for all branches of seismology and beyond. The growing volume of freely available data coupled with ever expanding computational power opens avenues to tackle larger and more complex problems. Current bottlenecks include inefficient resource usage and insufficient data organization. Properly scaling a problem requires the resolution of both these challenges, and existing data formats are no longer up to the task. ASDF stores any number of synthetic, processed or unaltered waveforms in a single file. A key improvement compared to existing formats is the inclusion of comprehensive meta information, such as event or station information, in the same file. Additionally, it is also usable for any non-waveform data, for example, cross-correlations, adjoint sources or receiver functions. Last but not least, full provenance information can be stored alongside each item of data, thereby enhancing reproducibility and accountability. Any data set in our proposed format is self-describing and can be readily exchanged with others, facilitating collaboration. The utilization of the HDF5 container format grants efficient and parallel I/O operations, integrated compression algorithms and check sums to guard against data corruption. To not reinvent the wheel and to build upon past developments, we use existing standards like QuakeML, StationXML, W3C PROV and HDF5 wherever feasible. Usability and tool support are crucial for any new format to gain acceptance. We developed mature C/Fortran and Python based APIs coupling ASDF to the widely used SPECFEM3D_GLOBE and ObsPy toolkits.},
doi = {10.1093/gji/ggw319},
journal = {Geophysical Journal International},
number = 2,
volume = 207,
place = {United States},
year = {Thu Aug 25 00:00:00 EDT 2016},
month = {Thu Aug 25 00:00:00 EDT 2016}
}
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Publisher's Version of Record
https://doi.org/10.1093/gji/ggw319
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    Works referencing / citing this record:

    ITalian ACcelerometric Archive (ITACA), version 3.1
    collection, January 2020

    • D'Amico, Maria Clara; Felicetta, Chiara; Russo, Emiliano
    • Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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    ITalian ACcelerometric Archive (ITACA), version 3.2
    collection, January 2022

    • Russo, Emiliano; Felicetta, Chiara; D'Amico, Maria Clara
    • Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    • DOI: 10.13127/itaca.3.2

    Influence of reservoir geology on seismic response during decameter-scale hydraulic stimulations in crystalline rock
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