Ross, Zachary E.

Combined from CaltechAUTHORS

• Shi, Yaozhong and Lavrentiadis, Grigorios, et el. (2024) Broadband Ground-Motion Synthesis via Generative Adversarial Neural Operators: Development and Validation; Bulletin of the Seismological Society of America; 10.1785/0120230207
• Sun, Hongyu and Ross, Zachary E., et el. (2023) Phase Neural Operator for Multi‐Station Picking of Seismic Arrivals; Geophysical Research Letters; Vol. 50; No. 24; e2023GL106434; 10.1029/2023gl106434
• Zhu, Weiqiang and Biondi, Ettore, et el. (2023) Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning; Nature Communications; Vol. 14; 8192; PMCID PMC10713581; 10.1038/s41467-023-43355-3
• Muir, Jack B. and Ross, Zachary E. (2023) A deep Gaussian process model for seismicity background rates; Geophysical Journal International; Vol. 234; No. 1; 427-438; 10.1093/gji/ggad074
• Yang, Yan and Gao, Angela F., et el. (2023) Rapid Seismic Waveform Modeling and Inversion With Neural Operators; IEEE Transactions on Geoscience and Remote Sensing; Vol. 61; Art. No. 5906712; 10.1109/tgrs.2023.3264210
• Atterholt, James and Ross, Zachary E. (2023) Finite Source Properties of Large Strike-Slip Earthquakes; 10.22541/essoar.167898487.74643181/v1
• Wilding, John D. and Zhu, Weiqiang, et el. (2023) The magmatic web beneath Hawai'i; Science; Vol. 379; No. 6631; 462-468; 10.1126/science.ade5755
• Sirorattanakul, Krittanon and Ross, Zachary E., et el. (2022) The 2020 Westmorland, California Earthquake Swarm as Aftershocks of a Slow Slip Event Sustained by Fluid Flow; Journal of Geophysical Research. Solid Earth; Vol. 127; No. 11; Art. No. e2022JB024693; 10.1029/2022jb024693
• Ross, Zachary E. and Ben-Zion, Yehuda, et el. (2022) Geometrical properties of seismicity in California; Geophysical Journal International; Vol. 231; No. 1; 493-504; 10.1093/gji/ggac189
• Rahman, Md Ashiqur and Florez, Manuel A., et el. (2022) Generative Adversarial Neural Operators; 10.48550/arXiv.arXiv.2205.03017
• Wilding, John D. and Ross, Zachary E. (2022) Aftershock Moment Tensor Scattering; Geophysical Research Letters; Vol. 49; No. 9; Art. No. e2022GL098473; 10.1029/2022GL098473
• Florez, Manuel A. and Caporale, Michaelangelo, et el. (2022) Data-Driven Synthesis of Broadband Earthquake Ground Motions Using Artificial Intelligence; Bulletin of the Seismological Society of America; Vol. 112; No. 4; 1979-1996; 10.1785/0120210264
• Atterholt, James and Ross, Zachary E. (2022) Bayesian Framework for Inversion of Second-Order Stress Glut Moments: Application to the 2019 Ridgecrest Sequence Mainshock; Journal of Geophysical Research. Solid Earth; Vol. 127; No. 4; Art. No. e2021JB023780; 10.1029/2021JB023780
• Liu, Yuan-Kai and Ross, Zachary E., et el. (2022) A unified perspective of seismicity and fault coupling along the San Andreas Fault; Science Advances; Vol. 8; No. 8; Art. No. eabk1167; PMCID PMC8865773; 10.1126/sciadv.abk1167
• Stephenson, Oliver L. and Köhne, Tobias, et el. (2022) Deep Learning-Based Damage Mapping With InSAR Coherence Time Series; IEEE Transactions on Geoscience and Remote Sensing; Vol. 60; Art. No. 5207917; 10.1109/tgrs.2021.3084209
• Smith, Jonthan D. and Ross, Zachary E., et el. (2022) HypoSVI: Hypocentre inversion with Stein variational inference and physics informed neural networks; Geophysical Journal International; Vol. 228; No. 1; 698-710; 10.1093/gji/ggab309
• Gao, Angela F. and Castellanos, Jorge C., et el. (2021) DeepGEM: Generalized Expectation-Maximization for Blind Inversion; ISBN 9781713845393; 35th Conference on Neural Information Processing Systems; 1-12
• Smith, Jonathan D. and Azizzadenesheli, Kamyar, et el. (2021) EikoNet: Solving the Eikonal Equation With Deep Neural Networks; IEEE Transactions on Geoscience and Remote Sensing; Vol. 59; No. 12; 10685-10696; 10.1109/TGRS.2020.3039165
• Yang, Yan and Gao, Angela F., et el. (2021) Seismic wave propagation and inversion with Neural Operators; 10.48550/arXiv.2108.05421
• Avouac, Jean-Philippe and Vrain, Maxime, et el. (2021) A Convolution Model for Earthquake Forecasting Derived from Seismicity Recorded During the ST1 Geothermal Project on Otaniemi Campus, Finland
• Yu, Ellen and Bhaskaran, Aparna, et el. (2021) Southern California Earthquake Data Now Available in the AWS Cloud; Seismological Research Letters; Vol. 92; No. 5; 3238-3247; 10.1785/0220210039
• Li, Bing Q. and Smith, Jonathan D., et el. (2021) Basal nucleation and the prevalence of ascending swarms in Long Valley caldera; Science Advances; Vol. 7; No. 35; Art. No. eabi8368; PMCID PMC8397262; 10.1126/sciadv.abi8368
• Atterholt, James and Ross, Zachary E. (2021) Bayesian framework for inversion of second-order stress glut moments: application to the 2020 M_w 7.7 Caribbean Earthquake
• Ross, Zachary E. and Cochran, Elizabeth S. (2021) Evidence for Latent Crustal Fluid Injection Transients in Southern California From Long-Duration Earthquake Swarms; Geophysical Research Letters; Vol. 48; No. 12; Art. No. e2021GL092465; 10.1029/2021gl092465
• Richards, Cole and Tape, Carl, et el. (2021) Anisotropy Variations in the Alaska Subduction Zone Based on Shear-Wave Splitting From Intraslab Earthquakes; Geochemistry, Geophysics, Geosystems; Vol. 22; No. 5; Art. No. e2020GC009558; 10.1029/2020gc009558
• Marsan, D. and Ross, Z. E. (2021) Inverse Migration of Seismicity Quiescence During the 2019 Ridgecrest Sequence; Journal of Geophysical Research. Solid Earth; Vol. 126; No. 3; Art. No. e2020JB020329; 10.1029/2020jb020329
• Smith, Jonathan D. and Ross, Zachary E., et el. (2021) HypoSVI: Hypocenter inversion with Stein variational inference and Physics Informed Neural Networks; 10.48550/arXiv.2101.03271
• Hauksson, Egill and Olson, Brian, et el. (2021) The Normal-Faulting 2020 M_w 5.8 Lone Pine, Eastern California, Earthquake Sequence; Seismological Research Letters; Vol. 92; No. 2A; 679-698; 10.1785/0220200324
• Florez, Manuel A. and Caporale, Michaelangelo, et el. (2021) Data-driven Accelerogram Synthesis using Deep Generative Models; 10.48550/arXiv.2011.09038
• Yeck, William Luther and Patton, John M., et el. (2021) Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center; Seismological Research Letters; Vol. 92; No. 1; 469-480; 10.1785/0220200178
• Zhang, Xiaotian and Jia, Zhe, et el. (2020) Extracting Dispersion Curves From Ambient Noise Correlations Using Deep Learning; IEEE Transactions on Geoscience and Remote Sensing; Vol. 58; No. 12; 8932-8939; 10.1109/tgrs.2020.2992043
• Li, Bing Q. and Avouac, Jean-Philippe, et el. (2020) Induced seismicity in the Dallas-Fort Worth Basin: Enhanced seismic catalogue and evaluation of fault slip potential; ISBN 9781713822585; SEG Technical Program Expanded Abstracts 2020; 1304-1308; 10.1190/segam2020-3428222.1
• Plesch, Andreas and Shaw, John H., et el. (2020) Detailed 3D Fault Representations for the 2019 Ridgecrest, California, Earthquake Sequence; Bulletin of the Seismological Society of America; Vol. 110; No. 4; 1818-1831; 10.1785/0120200053
• Hough, Susan E. and Ross, Zachary E., et el. (2020) Introduction to the Special Section on the 2019 Ridgecrest, California, Earthquake Sequence; Bulletin of the Seismological Society of America; Vol. 110; No. 4; 1395-1399; 10.1785/0120200201
• Schulte-Pelkum, Vera and Ross, Zachary E., et el. (2020) Tectonic Inheritance With Dipping Faults and Deformation Fabric in the Brittle and Ductile Southern California Crust; Journal of Geophysical Research. Solid Earth; Vol. 125; No. 8; Art. No. e2020JB019525; 10.1029/2020jb019525
• Cochran, Elizabeth S. and Skoumal, Robert J., et el. (2020) Activation of optimally and unfavourably oriented faults in a uniform local stress field during the 2011 Prague, Oklahoma, sequence; Geophysical Journal International; Vol. 222; No. 1; 153-168; 10.1093/gji/ggaa153
• Ross, Zachary E. and Cochran, Elizabeth S., et el. (2020) 3D fault architecture controls the dynamism of earthquake swarms; Science; Vol. 368; No. 6497; 1357-1361; 10.1126/science.abb0779
• Kanamori, Hiroo and Ross, Zachary E., et el. (2020) Estimation of radiated energy using the KiK-net downhole records—old method for modern data; Geophysical Journal International; Vol. 221; No. 2; 1029-1042; 10.1093/gji/ggaa040
• Ross, Zachary E. and Trugman, Daniel T., et el. (2020) Directivity Modes of Earthquake Populations with Unsupervised Learning; Journal of Geophysical Research. Solid Earth; Vol. 125; No. 2; Art. No. e2019JB018299; 10.1029/2019JB018299
• Trugman, Daniel T. and Ross, Zachary E., et el. (2020) Imaging Stress and Faulting Complexity Through Earthquake Waveform Similarity; Geophysical Research Letters; Vol. 47; No. 1; Art. No. e2019GL085888; 10.1029/2019gl085888
• Ross, Zachary E. and Idini, Benjamín, et el. (2019) Hierarchical interlocked orthogonal faulting in the 2019 Ridgecrest earthquake sequence; Science; Vol. 366; No. 6463; 346-351; 10.1126/science.aaz0109
• Trugman, Daniel T. and Ross, Zachary E. (2019) Pervasive Foreshock Activity Across Southern California; Geophysical Research Letters; Vol. 46; No. 15; 8772-8781; 10.1029/2019GL083725
• Ross, Zachary E. and Trugman, Daniel T., et el. (2019) Searching for Hidden Earthquakes in Southern California; Science; Vol. 364; No. 6442; 767-771; 10.1126/science.aaw6888
• Hauksson, Egill and Ross, Zachary E., et el. (2019) Slow-Growing and Extended-Duration Seismicity Swarms: Reactivating Joints or Foliations in the Cahuilla Valley Pluton, Central Peninsular Ranges, Southern California; Journal of Geophysical Research. Solid Earth; Vol. 124; No. 4; 3933-3949; 10.1029/2019jb017494
• Kanamori, Hiroo and Ross, Zachary E. (2019) Reviving mB; Geophysical Journal International; Vol. 216; No. 3; 1798-1816; 10.1093/gji/ggy510
• Kong, Qingkai and Trugman, Daniel T., et el. (2019) Machine Learning in Seismology: Turning Data into Insights; Seismological Research Letters; Vol. 90; No. 1; 3-14; 10.1785/0220180259
• Ross, Zachary E. and Yue, Yisong, et el. (2019) PhaseLink: A Deep Learning Approach to Seismic Phase Association; Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1; 856-869; 10.1029/2018JB016674
• Meier, Men-Andrin and Ross, Zachary E., et el. (2019) Reliable Real-time Seismic Signal/Noise Discrimination with Machine Learning; Journal of Geophysical Research. Solid Earth; Vol. 124; No. 1; 788-800; 10.1029/2018jb016661
• Ross, Zachary E. and Meier, Men-Andrin, et el. (2018) Generalized Seismic Phase Detection with Deep Learning; Bulletin of the Seismological Society of America; Vol. 108; No. 5A; 2894-2901; 10.1785/0120180080
• Cochran, Elizabeth S. and Ross, Zachary E., et el. (2018) Induced earthquake families reveal distinctive evolutionary patterns near disposal wells; Journal of Geophysical Research. Solid Earth; Vol. 123; No. 9; 8045-8055; 10.1029/2018JB016270
• Ross, Zachary E. and Meier, Men-Andrin, et el. (2018) P-wave arrival picking and first-motion polarity determination with deep learning; Journal of Geophysical Research. Solid Earth; Vol. 123; No. 6; 5120-5129; 10.1029/2017JB015251
• Cheng, Yifang and Ross, Zachary E., et el. (2018) Diverse volumetric faulting patterns in the San Jacinto fault zone; Journal of Geophysical Research. Solid Earth; Vol. 123; No. 6; 5068-5081; 10.1029/2017JB015408
• Qin, L. and Ben-Zion, Y., et el. (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; Vol. 213; No. 1; 98-114; 10.1093/gji/ggx540
• Ross, Zachary E. and Kanamori, Hiroo, et el. (2018) Dissipative intraplate faulting during the 2016 M_w 6.2 Tottori, Japan earthquake; Journal of Geophysical Research. Solid Earth; Vol. 123; No. 2; 1631-1642; 10.1002/2017JB015077
• Allam, A. A. and Schulte-Pelkum, V., et el. (2017) Ten kilometer vertical Moho offset and shallow velocity contrast along the Denali fault zone from double-difference tomography, receiver functions, and fault zone head waves; Tectonophysics; Vol. 721; 56-69; 10.1016/j.tecto.2017.09.003
• Yue, Han and Ross, Zachary E., et el. (2017) The 2016 Kumamoto M_w = 7.0 earthquake: a significant event in a fault-volcano system; Journal of Geophysical Research. Solid Earth; Vol. 122; No. 11; 9166-9183; 10.1002/2017JB014525
• Ross, Zachary E. and Rollins, Christopher, et el. (2017) Aftershocks driven by afterslip and fluid pressure sweeping through a fault-fracture mesh; Geophysical Research Letters; Vol. 44; No. 16; 8260-8267; 10.1002/2017GL074634
• Share, Pieter-Ewald and Ben-Zion, Yehuda, et el. (2017) Internal structure of the San Jacinto fault zone at Blackburn Saddle from seismic data of a linear array; Geophysical Journal International; Vol. 210; No. 2; 819-832; 10.1093/gji/ggx191
• Ross, Z. E. and Kanamori, H., et el. (2017) Anomalously large complete stress drop during the 2016 M_w 5.2 Borrego Springs earthquake inferred by waveform modeling and near-source aftershock deficit; Geophysical Research Letters; Vol. 44; No. 12; 5994-6001; 10.1002/2017GL073338
• Qiu, H. and Ben-Zion, Y., et el. (2017) Internal structure of the San Jacinto fault zone at Jackass Flat from data recorded by a dense linear array; Geophysical Journal International; Vol. 209; No. 3; 1369-1388; 10.1093/gji/ggx096
• Ross, Zachary E. and Hauksson, Egill, et el. (2017) Abundant off-fault seismicity and orthogonal structures in the San Jacinto fault zone; Science Advances; Vol. 3; No. 3; Art. No. e1601946; PMCID PMC5351979; 10.1126/sciadv.1601946
• Hauksson, Egill and Meier, Men-Andrin, et el. (2017) Evolution of seismicity near the southernmost terminus of the San Andreas Fault: Implications of recent earthquake clusters for earthquake risk in southern California; Geophysical Research Letters; Vol. 44; No. 3; 1293-1301; 10.1002/2016GL072026
• Wu, Francis T. and Ross, Zachary E., et el. (2016) Dense network, intense seismicity and tectonics of Taiwan; Tectonophysics; Vol. 692, Pt. B; 152-163; 10.1016/j.tecto.2016.04.025
• Ross, Zachary E. and Ben-Zion, Yehuda, et el. (2016) Analysis of earthquake body wave spectra for potency and magnitude values: implications for magnitude scaling relations; Geophysical Journal International; Vol. 207; No. 2; 1158-1164; 10.1093/gji/ggw327
• Ross, Z. E. and White, M. C., et el. (2016) An Improved Algorithm for Real‐TimeS‐Wave Picking with Application to the (Augmented) ANZA Network in Southern California; Bulletin of the Seismological Society of America; Vol. 106; No. 5; 2013-2022; 10.1785/0120150230
• Ross, Zachary E. and Ben-Zion, Yehuda (2016) Toward reliable automated estimates of earthquake source properties from body wave spectra; Journal of Geophysical Research. Solid Earth; Vol. 121; No. 6; 4390-4407; 10.1002/2016jb013003
• Okaya, David and Christensen, Nikolas I., et el. (2016) Terrane‐controlled crustal shear wave splitting in Taiwan; Geophysical Research Letters; Vol. 43; No. 2; 556-563; 10.1002/2015gl066446
• Ross, Z. E. and Ben-Zion, Y. (2015) An algorithm for automated identification of fault zone trapped waves; Geophysical Journal International; Vol. 202; No. 2; 933-942; 10.1093/gji/ggv197
• Ben-Zion, Yehuda and Vernon, Frank L., et el. (2015) Basic data features and results from a spatially dense seismic array on the San Jacinto fault zone; Geophysical Journal International; Vol. 202; No. 1; 370-380; 10.1093/gji/ggv142
• Ross, Z. E. and Ben-Zion, Y., et el. (2015) Isotropic source terms of San Jacinto fault zone earthquakes based on waveform inversions with a generalized CAP method; Geophysical Journal International; Vol. 200; No. 2; 1269-1280; 10.1093/gji/ggu460
• Ross, Z. E. and Ben-Zion, Y. (2014) Automatic picking of direct P, S seismic phases and fault zone head waves; Geophysical Journal International; Vol. 199; No. 1; 368-381; 10.1093/gji/ggu267
• Ross, Z. E. and Ben-Zion, Y. (2014) An earthquake detection algorithm with pseudo-probabilities of multiple indicators; Geophysical Journal International; Vol. 197; No. 1; 458-463; 10.1093/gji/ggt516
• Ross, Z. E. and Ben-Zion, Y. (2013) Spatio-temporal variations of double-couple aftershock mechanisms and possible volumetric earthquake strain; Journal of Geophysical Research. Solid Earth; Vol. 118; No. 5; 2347-2355; 10.1002/jgrb.50202
• Moss, Robb Eric S. and Ross, Zachary E. (2011) Probabilistic Fault Displacement Hazard Analysis for Reverse Faults; Bulletin of the Seismological Society of America; Vol. 101; No. 4; 1542-1553; 10.1785/0120100248