T. Taira
- ORCiD
- https://orcid.org/0000-0002-6170-797X
- OpenAlex ID
- https://openalex.org/A5031095419 (API record)
Associated Concepts [?]
- Geology
- Seismology
- Biology
- Paleontology
- Physics
- Engineering
- Computer science
- Civil engineering
- Fault (geology)
- Geography
- Quantum mechanics
- Geophysics
- Optics
- Mathematics
- Aerospace engineering
- Thermodynamics
- Tectonics
- San andreas fault
- Induced seismicity
Authored Works
sorted by decreasing year, and then by display-name
- VS30 at two seismic stations in the Central Valley of California using S-wave refraction tomography and MASW
- The SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest Earthquake Sequence Data
- Spatiotemporal Variations of Surface Deformation, Shallow Creep Rate, and Slip Partitioning between the San Andreas and Southern Calaveras Fault
- Seismic monitoring in Monterey Bay, CA, using distributed acoustic sensing
- Periodic Seismic Velocity Changes in Southern California Caused by Changes in Seasonal Stress
- Inferring damage state and evolution from coda wave velocity changes in faulted and intact granite samples at different stresses
- Detecting high-frequency anthropogenic seismic sources for seismic velocity monitoring
- Atmospheric-Solid Earth Coupling Excites Global Vibrations from the Upper Crust to the Upper Mantle Following the 2022 Hunga Eruption, Tonga.
- Using near repeating earthquakes for monitoring aseismic processes along the Central Costa Rica Subduction Zone
- Temporal changes of seismic velocities at depth in the San Andreas fault zone associated with the 2004 Mw6 Parkfield earthquake from repeating earthquakes
- Parkfield earthquake delay caused by wastewater injection at the San Ardo oilfield
- Near-surface velocity reduction and anisotropy for early aftershocks revealed by coda interferometry
- Introduction to the SCEC Community Stress Drop Validation Study
- Comparing Finite-Source and Corner Frequency Based Stress Drop for the Ridgecrest Sequence
- Change in seismic velocity during laboratory triaxial stick-slip experiments
- Building New Earthquake Catalogs Using Machine Learning-based Seismic Phase Picking Algorithms in Northern California
Linked Co-Authors
- A. Baltay
- Adam T. Ringler
- B. Shiro
- Barbara Romanowicz
- David C. Wilson
- Douglas S. Dreger
- Esteban J. Chaves
- F. L. Vernon
- Fenglin Niu
- Florent Brenguier
- Grace Carlson
- Guang Zhai
- Hidenori Miyake
- Hongrui Qiu
- J. H. Chan
- Liwei Chen
- M. Khoshmanesh
- M. Shirzaei
- Matthew M. Haney
- Pierre Boué
- Qingkai Kong
- R. C. Aster
- R. D. Catchings
- R. M. Allen
- Rachel E. Abercrombie
- Robert E. Anthony
- Robin S. Matoza
- Roland Bürgmann
- Toshiro Tanimoto
- Yehuda Ben‐Zion
- Yixiao Sheng
- Yosuke Aoki
- Yuexin Li
Linked Collaborating Institutions
- Boston University, Massachusetts
- California Institute of Technology
- Colorado State University
- Helmholtz Center for Geosciences, Potsdam
- Lawrence Livermore National Laboratory, California
- Louisiana State University
- Monterey Bay Aquarium Research Institute, California
- National Institute of Geophysics and Volcanology, Italy
- National Research Center for Disaster Prevention, Japan
- Rice University, Texas
- U.S. Geological Survey
- University of California, Berkeley
- University of California, Berkeley, Department of Earth and Planetary Science
- University of California, San Diego, Scripps Institution of Oceanography
- University of California, Santa Barbara
- University of California, Santa Cruz
- University of Liverpool, UK
- University of Memphis, Tennessee
- University of Southern California
- University of Tokyo, Earthquake Research Institute
- University of Tokyo, Japan
- Virginia Polytechnic Institute and State University
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