Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Daniel E. McNamara"'
Autor:
Mark D Petersen, Allison M Shumway, Peter M Powers, Morgan P Moschetti, Andrea L Llenos, Andrew J Michael, Charles S Mueller, Arthur D Frankel, Sanaz Rezaeian, Kenneth S Rukstales, Daniel E McNamara, Paul G Okubo, Yuehua Zeng, Kishor S Jaiswal, Sean K Ahdi, Jason M Altekruse, Brian R Shiro
Publikováno v:
Earthquake Spectra. 38:865-916
The 2021 US National Seismic Hazard Model (NSHM) for the State of Hawaii updates the previous two-decade-old assessment by incorporating new data and modeling techniques to improve the underlying ground shaking forecasts of tectonic-fault, tectonic-f
Autor:
Mark D. Petersen, Morgan P. Moschetti, Sanaz Rezaeian, Allison M. Shumway, Daniel E. McNamara, Eric M. Thompson, Arthur Frankel, Nicolas Luco, Peter M. Powers
Publikováno v:
Earthquake Spectra. 37:1354-1390
The United States Geological Survey (USGS) National Seismic Hazard Model (NSHM) is the scientific foundation of seismic design regulations in the United States and is regularly updated to consider the best available science and data. The 2018 update
Autor:
Peter M. Powers, Arthur Frankel, Oliver S. Boyd, Brandon S. Clayton, Mark D. Petersen, Kenneth S. Rukstales, Charles S. Mueller, Susan M. Hoover, Edward H. Field, Kishor Jaiswal, Yuehua Zeng, Morgan P. Moschetti, Nicolas Luco, Allison M. Shumway, Daniel E. McNamara, Sanaz Rezaeian, Eric M. Thompson
Publikováno v:
Earthquake Spectra. 37:959-987
The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground motion forecasts for the conterminous United States. The NSHM considers many new data and com
Autor:
Mark D. Petersen, David C. Wilson, Harley M. Benz, Morgan P. Moschetti, Daniel E. McNamara, Eric M. Thompson, Alison M. Shumway, Emily Wolin, Peter M. Powers
Publikováno v:
Bulletin of the Seismological Society of America. 110:1517-1529
We evaluated the performance of 12 ground-motion models (GMMs) for earthquakes in the tectonically active shallow crustal region of southern California using instrumental ground-motion observations from the 2019 Ridgecrest, California, earthquake seq
Publikováno v:
Bulletin of the Seismological Society of America. 110:698-714
This article assesses the ability of regionally specific, frequency-dependent crustal attenuation (1/Q) to reduce mean magnitude discrepancies between seismic stations in the northern Appalachian and Grenville provinces (NAP and GP) of Canada. LgQ(f)
Autor:
Morgan P. Moschetti, Allison M. Shumway, Daniel E. McNamara, Eric M. Thompson, John Rekoske, Mark D. Petersen, Charles S. Mueller, Peter M. Powers, Emily Wolin
Publikováno v:
Bulletin of the Seismological Society of America. 110:666-688
The selection and weighting of ground-motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using
Autor:
Adria Ruth McClain, Elizabeth S. Cochran, Alan Yong, David C. Wilson, Daniel E. McNamara, Jamison H. Steidl, Nicholas J. van der Elst, Mark Alvarez, Emily Wolin
Publikováno v:
Seismological Research Letters. 91:1952-1960
Rapid seismic deployments following large earthquakes capture ephemeral near-field recordings of aftershocks and ambient noise that can provide valuable data for seismological studies. The U.S. Geological Survey installed 19 temporary seismic station
Autor:
Daniel E. McNamara, Emily Wolin
Publikováno v:
Bulletin of the Seismological Society of America. 110:270-278
Advances in seismic instrumentation have enabled data to be recorded at increasing sample rates. This has in turn created a need to establish higher frequency baselines for assessing data quality, as the widely used new high-noise model (NHNM) and ne
Autor:
Morgan P. Moschetti, Daniel E. McNamara, Alison M. Shumway, John Rekoske, Eric M. Thompson, Mark D. Petersen, Charles S. Mueller, Emily Wolin, Peter M. Powers
Publikováno v:
Seismological Research Letters. 91:183-194
Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (Mw 7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated w
Autor:
Kenneth S. Rukstales, Edward H. Field, Mark D. Petersen, Charles S. Mueller, Susan M. Hoover, Sanaz Rezaeian, Oliver S. Boyd, Nico Luco, Allison M. Shumway, Kishor S. Jaiswal, Morgan P. Moschetti, Yuehua Zeng, Daniel E. McNamara, P. Powers, Eric M. Thompson, Arthur Frankel, Brandon S. Clayton
Publikováno v:
Earthquake Spectra. 36:5-41
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central an