9129767 R5NGXX2P 1 apa 50 date desc year Vernon 18 https://flvernon.scrippsprofiles.ucsd.edu/wp-content/plugins/zotpress/
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Sheng, Y., Brenguier, F., Mordret, A., Higueret, Q., Aubert, C., Pinzon‐Rincon, L., Hollis, D., Vernon, F., Wyatt, F., & Ben‐Zion, Y. (2024). In Situ Velocity‐Strain Sensitivity Near the San Jacinto Fault Zone Analyzed Through Train Tremors. Geophysical Research Letters, 51(15), e2024GL110113. https://doi.org/10.1029/2024GL110113
Tang, L., Igel, H., Montagner, J., & Vernon, F. (2024). Seismic Anisotropy From 6C Ground Motions of Ambient Seismic Noise. Journal of Geophysical Research: Solid Earth, 129(6), e2024JB028959. https://doi.org/10.1029/2024JB028959
Vavra, E. J., Qiu, H., Chi, B., Share, P., Allam, A., Morzfeld, M., Vernon, F., Ben‐Zion, Y., & Fialko, Y. (2023). Active Dipping Interface of the Southern San Andreas Fault Revealed by Space Geodetic and Seismic Imaging. Journal of Geophysical Research: Solid Earth, 128(11), e2023JB026811. https://doi.org/10.1029/2023JB026811
Share, P. ‐E., Vernon, F. L., & Ben‐Zion, Y. (2023). The Variable Continuous Bimaterial Interface in the San Jacinto Fault Zone Revealed by Dense Seismic Array Analysis of Fault Zone Head Waves. Journal of Geophysical Research: Solid Earth, 128(2), e2022JB025070. https://doi.org/10.1029/2022JB025070
Sheng, Y., Mordret, A., Sager, K., Brenguier, F., Boue, P., Rousset, B., Vernon, F., Higueret, Q., & Ben-Zion, Y. (2022). Monitoring Seismic Velocity Changes Across the San Jacinto Fault Using Train-Generated Seismic Tremors. Geophysical Research Letters, 49(19), 8. https://doi.org/10.1029/2022gl098509
Share, P. E., Peacock, J. R., Constable, S., Vernon, F. L., & Wang, S. G. (2022). Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging. Geophysical Journal International, 232(1), 694–704. https://doi.org/10.1093/gji/ggac356
Dewangan, A., Pande, Y., Braun, H. W., Vernon, F., Perez, I., Altintas, I., Cottrell, G. W., & Nguyen, M. H. (2022). FIgLib & SmokeyNet: Dataset and deep learning model for real-time wildland fire smoke detection. Remote Sensing, 14(4), 15. https://doi.org/10.3390/rs14041007
Martynov, V. G., Astiz, L., Kilb, D., & Vernon, F. L. (2021). Modulation of seismic noise near the San Jacinto fault in southern California: origin and observations of the cyclical time dependence and associated crustal properties. Geophysical Journal International, 225(1), 127–139. https://doi.org/10.1093/gji/ggaa585
Qin, L., Share, P. E., Qiu, H. R., Allam, A. A., Vernon, F. L., & Ben-Zion, Y. (2021). Internal structure of the San Jacinto fault zone at the Ramona Reservation, north of Anza, California, from dense array seismic data. Geophysical Journal International, 224(2), 1226–1242. https://doi.org/10.1093/gji/ggaa482
Mordret, A., Brenguier, F., Causse, M., Boue, P., Voisin, C., Dumont, I., Vernon, F. L., & Ampuero, J. P. (2020). Seismic stereometry reveals preparatory behavior and source kinematics of intermediate-size earthquakes. Geophysical Research Letters, 47(17). https://doi.org/10.1029/2020gl088563
Caton, R. C., Pavlis, G. L., Thomson, D. J., & Vernon, F. L. (2020). Methods for the robust computation of the long-period seismic spectrum of broad-band arrays. Geophysical Journal International, 222(3), 1480–1501. https://doi.org/10.1093/gji/ggaa218
Cheng, Y. F., Ben-Zion, Y., Brenguier, F., Johnson, C. W., Li, Z. F., Share, P. E., Mordret, A., Boue, P., & Vernon, F. (2020). An automated method for developing a catalog of small earthquakes using data of a dense seismic array and nearby stations. Seismological Research Letters, 91(5), 2862–2871. https://doi.org/10.1785/0220200134
Johnson, C. W., Ben-Zion, Y., Meng, H. R., & Vernon, F. (2020). Identifying different classes of seismic noise signals using unsupervised learning. Geophysical Research Letters, 47(15). https://doi.org/10.1029/2020gl088353
Share, P. E., Taborik, P., Stepancikova, P., Stemberk, J., Rockwell, T. K., Wade, A., Arrowsmith, J. R., Donnellan, A., Vernon, F. L., & Ben-Zion, Y. (2020). Characterizing the uppermost 100 m structure of the San Jacinto fault zone southeast of Anza, California, through joint analysis of geological, topographic, seismic and resistivity data. Geophysical Journal International, 222(2), 781–794. https://doi.org/10.1093/gji/ggaa204
Martynov, V. G., Astiz, L., Kilb, D., & Vernon, F. L. (2020). The M2 tidal tilt results from USArray seismic data from the western United States. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120190314
Johnson, C. W., Kilb, D., Baltay, A., & Vernon, F. (2020). Peak ground velocity spatial variability revealed by dense seismic array in Southern California. Journal of Geophysical Research: Solid Earth, 125(6), e2019JB019157. https://doi.org/10.1029/2019jb019157
Kilb, D., & Vernon, F. (2020). Southern California jolted by moderate but intense quake. Temblor. https://doi.org/10.32858/temblor.084
Qin, L., Vernon, F. L., Johnson, C. W., & Ben-Zion, Y. (2019). Spectral characteristics of daily to seasonal ground motion at the Pinon Flats Observatory from coherence of seismic data. Bulletin of the Seismological Society of America, 109(5), 1948–1967. https://doi.org/10.1785/0120190070
Brenguier, F., Baue, P., Ben-Zion, Y., Vernon, F., Johnson, C. W., Mordret, A., Coutant, O., Share, P. E., Beauce, E., Hollis, D., & Lecocq, T. (2019). Train traffic as a powerful noise source for monitoring active faults with seismic interferometry. Geophysical Research Letters, 46(16), 9529–9536. https://doi.org/10.1029/2019gl083438
Johnson, C. W., Meng, H. R., Vernon, F., & Ben-Zion, Y. (2019). Characteristics of ground motion generated by wind interaction with trees, structures, and other surface obstacles. Journal of Geophysical Research-Solid Earth, 124(8), 8519–8539. https://doi.org/10.1029/2018jb017151
Johnson, C. W., Vernon, F., Nakata, N., & Ben-Zion, Y. (2019). Atmospheric processes modulating noise in Fairfield nodal 5 Hz geophones. Seismological Research Letters, 90(4), 1612–1618. https://doi.org/10.1785/0220180383
Zigone, D., Ben-Zion, Y., Lehujeur, M., Campillo, M., Hillers, G., & Vernon, F. L. (2019). Imaging subsurface structures in the San Jacinto fault zone with high-frequency noise recorded by dense linear arrays. Geophysical Journal International, 217(2), 879–893. https://doi.org/10.1093/gji/ggz069
Sahakian, V. J., Baltay, A., Hanks, T. C., Buehler, J., Vernon, F. L., Kilb, D., & Abrahamson, N. A. (2019). Ground motion residuals, path effects, and crustal properties: A pilot study in Southern California. Journal of Geophysical Research: Solid Earth, 124(6), 5738–5753. https://doi.org/10.1029/2018jb016796
Share, P. E., Allam, A. A., Ben-Zion, Y., Lin, F. C., & Vernon, F. L. (2019). Structural properties of the San Jacinto Fault Zone at Blackburn Saddle from seismic data of a dense linear array. Pure and Applied Geophysics, 176(3), 1169–1191. https://doi.org/10.1007/s00024-018-1988-5
Sahakian, V., Baltay, A., Hanks, T., Buehler, J., Vernon, F., Kilb, D., & Abrahamson, N. (2018). Decomposing leftovers: Event, path, and site residuals for a small‐magnitude Anza region GMPE. Bulletin of the Seismological Society of America. https://doi.org/10.1785/0120170376
Golos, E. M., Fang, H., Yao, H., Zhang, H., Burdick, S., Vernon, F., Schaeffer, A., Lebedev, S., & van der Hilst, R. D. (2018). Shear Wave Tomography Beneath the United States Using a Joint Inversion of Surface and Body Waves. Journal of Geophysical Research-Solid Earth, 123(6), 5169–5189. https://doi.org/10.1029/2017jb014894
Qin, L., Ben-Zion, Y., Qiu, H., Share, P. E., Ross, Z. E., & Vernon, F. L. (2018). Internal structure of the San Jacinto fault zone in the trifurcation area southeast of Anza, California, from data of dense seismic arrays. Geophysical Journal International, 213(1), 98–114. https://doi.org/10.1093/gji/ggx540
Jacques, A. A., Horel, J. D., Crosman, E. T., & Vernon, F. L. (2017). Tracking Mesoscale Pressure Perturbations Using the USArray Transportable Array. Monthly Weather Review, 145(8), 3119–3142. https://doi.org/10.1175/mwr-d-16-0450.1
Share, P. E., Ben-Zion, Y., Ross, Z. E., Qiu, H. R., & Vernon, F. L. (2017). Internal structure of the San Jacinto fault zone at Blackburn Saddle from seismic data of a linear array. Geophysical Journal International, 210(2), 819–832. https://doi.org/10.1093/gji/ggx191
Donner, S., Lin, C. J., Hadziioannou, C., Gebauer, A., Vernon, F., Agnew, D. C., Igel, H., Schreiber, U., & Wassermann, J. (2017). Comparing direct observation of strain, rotation, and displacement with array estimates at Pinon Flat Observatory, California. Seismological Research Letters, 88(4), 1107–1116. https://doi.org/10.1785/0220160216
Qiu, H., Ben-Zion, Y., Ross, Z. E., Share, P. E., & Vernon, F. L. (2017). Internal structure of the San Jacinto fault zone at Jackass Flat from data recorded by a dense linear array. Geophysical Journal International, 209(3), 1369–1388. https://doi.org/10.1093/gji/ggx096
Thomson, D. J., & Vernon, F. L. (2016). Some comments on the analysis of “big” scientific time series. Proceedings of the Ieee, 104(11), 2220–2249. https://doi.org/10.1109/jproc.2016.2598218
Tanimoto, T., Lin, C.-J., Hadziioannou, C., Igel, H., & Vernon, F. (2016). Estimate of Rayleigh-to-Love wave ratio in the secondary microseism by a small array at Piñon Flat observatory, California. Geophysical Research Letters, 43(21), 11,173-11,181. https://doi.org/10.1002/2016GL071133
Ross, Z. E., Ben-Zion, Y., White, M. C., & Vernon, F. L. (2016). Analysis of earthquake body wave spectra for potency and magnitude values: implications for magnitude scaling relations. Geophysical Journal International, 207(2), 1158–1164. https://doi.org/10.1093/gji/ggw327
Ross, Z. E., White, M. C., Vernon, F. L., & Ben-Zion, Y. (2016). An improved algorithm for real-time S-wave picking with application to the (augmented) ANZA network in Southern California. Bulletin of the Seismological Society of America, 106(5), 2013–2022. https://doi.org/10.1785/0120150230
Roux, P., Moreau, L., Lecointre, A., Hillers, G., Campillo, M., Ben-Zion, Y., Zigone, D., & Vernon, F. (2016). A methodological approach towards high-resolution surface wave imaging of the San Jacinto Fault Zone using ambient-noise recordings at a spatially dense array. Geophysical Journal International, 206(2), 980–992. https://doi.org/10.1093/gji/ggw193
Jacques, A. A., Horel, J. D., Crosman, E. T., Vernon, F., & Tytell, J. (2016). The Earthscope US transportable array 1 Hz surface pressure dataset. Geoscience Data Journal, 3(1), 29–36. https://doi.org/10.1002/gdj3.37
Tytell, J., Vernon, F., Hedlin, M., Hedlin, C. D., Reyes, J., Busby, B., Hafner, K., & Eakins, J. (2016). The USARRAY transportable array as a platform for weather observation and research. Bulletin of the American Meteorological Society, 97(4), 603–619. https://doi.org/10.1175/bams-d-14-00204.1
Li, Z. F., Peng, Z. G., Ben-Zion, Y., & Vernon, F. L. (2015). Spatial variations of shear wave anisotropy near the San Jacinto Fault Zone in Southern California. Journal of Geophysical Research-Solid Earth, 120(12), 8334–8347. https://doi.org/10.1002/2015jb012483
Thomson, D. J., & Vernon, F. L. (2015). Unexpected, high-Q, low-frequency peaks in seismic spectra. Geophysical Journal International, 202(3), 1690–1710. https://doi.org/10.1093/gji/ggv175
Ben-Zion, Y., Vernon, F. L., Ozakin, Y., Zigone, D., Ross, Z. E., Meng, H. R., White, M., Reyes, J., Hollis, D., & Barklage, M. (2015). Basic data features and results from a spatially dense seismic array on the San Jacinto fault zone. Geophysical Journal International, 202(1), 370–380. https://doi.org/10.1093/gji/ggv142
Jacques, A. A., Horel, J. D., Crosman, E. T., & Vernon, F. L. (2015). Central and Eastern US surface pressure variations derived from the USArray Network. Monthly Weather Review, 143(4), 1472–1493. https://doi.org/10.1175/mwr-d-14-00274.1
Mikhalevsky, P. N., Sagen, H., Worcester, P. F., Baggeroer, A. B., Orcutt, J., Moore, S. E., Lee, C. M., Vigness-Raposa, K. J., Freitag, L., Arrott, M., Atakan, K., Beszczynska-Moeller, A., Duda, T. F., Dushaw, B. D., Gascard, J. C., Gavrilov, A. N., Keers, H., Morozov, A. K., Munk, W. H., … Yuen, M. Y. (2015). Multipurpose Acoustic Networks in the Integrated Arctic Ocean Observing System. Arctic, 68, 11–27.
Yang, H. F., Li, Z. F., Peng, Z. G., Ben-Zion, Y., & Vernon, F. (2014). Low-velocity zones along the San Jacinto Fault, Southern California, from body waves recorded in dense linear arrays. Journal of Geophysical Research-Solid Earth, 119(12), 8976–8990. https://doi.org/10.1002/2014jb011548
Allam, A. A., Ben-Zion, Y., Kurzon, I., & Vernon, F. (2014). Seismic velocity structure in the Hot Springs and Trifurcation areas of the San Jacinto fault zone, California, from double-difference tomography. Geophysical Journal International, 198(2), 978–999. https://doi.org/10.1093/gji/ggu176
Kurzon, I., Vernon, F. L., Rosenberger, A., & Ben-Zion, Y. (2014). Real-time automatic detectors of P and S waves using singular value decomposition. Bulletin of the Seismological Society of America, 104(4), 1696–1708. https://doi.org/10.1785/0120130295
Jacobeit, E., Thomas, C., & Vernon, F. (2013). Influence of station topography and Moho depth on the mislocation vectors for the Kyrgyz Broadband Seismic Network (KNET). Geophysical Journal International, 193(2), 949–959. https://doi.org/10.1093/gji/ggt014
Kane, D. L., Shearer, P. M., Goertz-Allmann, B. P., & Vernon, F. L. (2013). Rupture directivity of small earthquakes at Parkfield. Journal of Geophysical Research-Solid Earth, 118(1), 212–221. https://doi.org/10.1029/2012jb009675
Pavlis, G. L., Sigloch, K., Burdick, S., Fouch, M. J., & Vernon, F. L. (2012). Unraveling the geometry of the Farallon plate: Synthesis of three-dimensional imaging results from USArray. Tectonophysics, 532, 82–102. https://doi.org/10.1016/j.tecto.2012.02.008
Kilb, D., Biasi, G., Anderson, J., Brune, J., Peng, Z. G., & Vernon, F. L. (2012). A Comparison of Spectral Parameter Kappa from Small and Moderate Earthquakes Using Southern California ANZA Seismic Network Data. Bulletin of the Seismological Society of America, 102(1), 284–300. https://doi.org/10.1785/0120100309