Articles | Volume 11, issue 4
https://doi.org/10.5194/se-11-1597-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-11-1597-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Method article
| 
28 Aug 2020
Method article |
| 28 Aug 2020
Introducing noisi: a Python tool for ambient noise cross-correlation modeling and noise source inversion
Department of Earth and Planetary Sciences, Harvard University, 24 Oxford Street, Cambridge, Massachusetts 02139, USA
Department of Earth Sciences, University of Oxford, Oxford OX1 3AN, UK
Jonas Igel
Institut für Geophysik, ETH Zürich, 8092 Zurich, Switzerland
Korbinian Sager
Earth, Environmental and Planetary Sciences, Brown University, Providence, Rhode Island 02912, USA
Eléonore Stutzmann
Institut de Physique du Globe de Paris, Université de Paris, CNRS, 75005 Paris, France
Tarje Nissen-Meyer
Department of Earth Sciences, University of Oxford, Oxford OX1 3AN, UK
Andreas Fichtner
Institut für Geophysik, ETH Zürich, 8092 Zurich, Switzerland
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Laura A. Ermert, Enrique Cabral-Cano, Estelle Chaussard, Darío Solano-Rojas, Luis Quintanar, Diana Morales Padilla, Enrique A. Fernández-Torres, and Marine A. Denolle
Solid Earth, 14, 529–549, https://doi.org/10.5194/se-14-529-2023, https://doi.org/10.5194/se-14-529-2023, 2023
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Mexico City is built on a unique ground containing the clay-rich sediments of the ancient lake Texcoco. Continuous imperceptible shaking of these deposits by city traffic and other sources allows us to monitor changes in the subsurface seismic wave speed. Wave speed varies seasonally, likely due to temperature and rain effects; it temporarily drops after large earthquakes then starts to recover. Throughout the studied period, it increased on average, which may be related to soil compaction.
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We are developing an interdisciplinary dynamic earthquake risk framework for Switzerland for advancing earthquake risk mitigation. It includes various earthquake risk products and services, such as Operational Earthquake Forecasting and Earthquake Early Warning, and adopts a user-centred approach. Standardisation is crucial for widespread adoption and recognition, and the harmonisation of products into seamless solutions that access the same databases, workflows, and software.
Laura A. Ermert, Enrique Cabral-Cano, Estelle Chaussard, Darío Solano-Rojas, Luis Quintanar, Diana Morales Padilla, Enrique A. Fernández-Torres, and Marine A. Denolle
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Imaging the inside of the Earth requires knowledge of how the Earth's properties affect seismic recordings. However, certain properties, such as density, affect seismograms in a way that is not fully known. Using numerical simulations, we can calculate a synthetic seismogram for a medium with and without density heterogeneities, and then compare the two signals. That way, we quantify the density effect on a seismogram. We also show that it is visible and growing as the wavefield gets scattered.
Related subject area
Subject area: Crustal structure and composition | Editorial team: Seismics, seismology, paleoseismology, geoelectrics, and electromagnetics | Discipline: Seismology
The impact of seismic noise produced by wind turbines on seismic borehole measurements
Probing environmental and tectonic changes underneath Mexico City with the urban seismic field
Quantifying gender gaps in seismology authorship
Mapping the basement of the Cerdanya Basin (eastern Pyrenees) using seismic ambient noise
Referent seismic crustal model of the Dinarides
Constraints on fracture distribution in the Los Humeros geothermal field from beamforming of ambient seismic noise
Radial anisotropy and S-wave velocity depict the internal to external zone transition within the Variscan orogen (NW Iberia)
Distributed acoustic sensing as a tool for subsurface mapping and seismic event monitoring: a proof of concept
Seismic monitoring of the STIMTEC hydraulic stimulation experiment in anisotropic metamorphic gneiss
One-dimensional velocity structure modeling of the Earth's crust in the northwestern Dinarides
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Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration
3D crustal structure of the Ligurian Basin revealed by surface wave tomography using ocean bottom seismometer data
Elastic anisotropies of deformed upper crustal rocks in the Alps
A revised image of the instrumental seismicity in the Lodi area (Po Plain, Italy)
Seismic radiation from wind turbines: observations and analytical modeling of frequency-dependent amplitude decays
Relocation of earthquakes in the southern and eastern Alps (Austria, Italy) recorded by the dense, temporary SWATH-D network using a Markov chain Monte Carlo inversion
Seismic noise variability as an indicator of urban mobility during the COVID-19 pandemic in the Santiago metropolitan region, Chile
Transversely isotropic lower crust of Variscan central Europe imaged by ambient noise tomography of the Bohemian Massif
Evaluating seismic beamforming capabilities of distributed acoustic sensing arrays
Crustal structure of southeast Australia from teleseismic receiver functions
Seismic monitoring of the Auckland Volcanic Field during New Zealand's COVID-19 lockdown
Using horizontal-to-vertical spectral ratios to construct shear-wave velocity profiles
Crustal structures beneath the Eastern and Southern Alps from ambient noise tomography
Deep learning for fast simulation of seismic waves in complex media
Fault reactivation by gas injection at an underground gas storage off the east coast of Spain
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Modeling active fault systems and seismic events by using a fiber bundle model – example case: the Northridge aftershock sequence
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Wind turbines that are located close to a seismometer produce ground tremors that can increase the noise level at the seismic station. Using numerical models, we analyse the effectivity of borehole installations to reduce this impact. We study effects of geophysical parameters on the borehole effectivity and validate our modelling approach with data from real boreholes. Boreholes are effective in reducing the impact of wind turbines; however, this depends on the wavelength of the seismic wave.
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By analysing the authorship of peer-reviewed articles, we identify lower representation of women among single authors, high-impact authors, and highly productive authors. Seismology continues to be a male-dominated field, and trends suggest that parity is decades away. These gaps are an obstacle to women’s career advancement and, if neglected, may perpetuate the leaky-pipeline problem.
Jordi Díaz, Sergi Ventosa, Martin Schimmel, Mario Ruiz, Albert Macau, Anna Gabàs, David Martí, Özgenç Akin, and Jaume Vergés
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We assess the capability of multiple methods based on the interpretation of seismic noise to map the basement of the Cerdanya Basin, located in the eastern Pyrenees. Basement depth estimations retrieved from the different approaches are consistent, with maximum depths reaching 700 m close to the Têt fault bounding the basin to the east. Our results prove that seismic noise analysis using high-density networks is an excellent tool to improve the geological characterization of sedimentary basins.
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Presently there is no complete crustal model of the Dinarides. Using the compilations of previous studies, we have created vertically, and laterally varying crustal models defined on a regular grid for the wider area of the Dinarides, also covering parts of Adriatic Sea and SW part of the Pannonian Basin. In addition to the seismic velocities and density, we also defined three interfaces – sedimentary deposits bottom, Carbonate rock thickness and crustal thickness.
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The energy transition is an important topic for benefiting the future; thus renewable energy is required to reach net-zero carbon emission goals. Geothermal energy, heat from the ground, can be used in this transition. Therefore, geothermal fields need to be characterized as much as possible to allow for increased productivity within these fields. This study involves and looks at potential fractures within a geothermal field at depth to help increase the overall understanding of this field.
Jorge Acevedo, Gabriela Fernández-Viejo, Sergio Llana-Fúnez, Carlos López-Fernández, Javier Olona, and Diego Pérez-Millán
Solid Earth, 13, 659–679, https://doi.org/10.5194/se-13-659-2022, https://doi.org/10.5194/se-13-659-2022, 2022
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The NW Iberian Peninsula provides one of the most complete Variscan sections in Europe, showing the transition between a sedimentary domain with folds and thrust and a metamorphic domain with igneous intrusions. By processing the seismic ambient noise recorded by several seismograph networks in this area, new 3-D S-wave velocity and radial anisotropy models were created. These models reveal the limit between the two domains, delineating the core of the large western European Variscan Belt.
Nicola Piana Agostinetti, Alberto Villa, and Gilberto Saccorotti
Solid Earth, 13, 449–468, https://doi.org/10.5194/se-13-449-2022, https://doi.org/10.5194/se-13-449-2022, 2022
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Sensing the Earth is a fundamental operation for the future where georesources, like geothermal energy and CO2 underground storage, will become important tools for addressing societal challenges. The development of networks of optical fibre cables gives the possibility of a sensing grid with an unprecedented spatial coverage. Here, we investigate the potential of using portions of a optical fibre cable as a standard seismometer for exploring the subsurface and monitoring georesources.
Carolin M. Boese, Grzegorz Kwiatek, Thomas Fischer, Katrin Plenkers, Juliane Starke, Felix Blümle, Christoph Janssen, and Georg Dresen
Solid Earth, 13, 323–346, https://doi.org/10.5194/se-13-323-2022, https://doi.org/10.5194/se-13-323-2022, 2022
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Hydraulic stimulation experiments in underground facilities allow for placing monitoring equipment close to and surrounding the stimulated rock under realistic and complex conditions at depth. We evaluate how accurately the direction-dependent velocity must be known for high-resolution seismic monitoring during stimulation. Induced transient deformation in rocks only 2.5–5 m apart may differ significantly in magnitude and style, and monitoring requires sensitive sensors adapted to the frequency.
Gregor Rajh, Josip Stipčević, Mladen Živčić, Marijan Herak, Andrej Gosar, and the AlpArray Working Group
Solid Earth, 13, 177–203, https://doi.org/10.5194/se-13-177-2022, https://doi.org/10.5194/se-13-177-2022, 2022
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We investigated the 1-D velocity structure of the Earth's crust in the NW Dinarides with inversion of arrival times from earthquakes. The obtained velocity models give a better insight into the crustal structure and show velocity variations among different parts of the study area. In addition to general structural implications and a potential for improving further work, the results of our study can also be used for routine earthquake location and for detecting errors in seismological bulletins.
Guido Maria Adinolfi, Raffaella De Matteis, Rita de Nardis, and Aldo Zollo
Solid Earth, 13, 65–83, https://doi.org/10.5194/se-13-65-2022, https://doi.org/10.5194/se-13-65-2022, 2022
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We propose a methodology useful to evaluate (1) the reliability of a focal mechanism solution inferred by the inversion of seismological data and (2) the performance of a seismic network, operated to monitor natural or induced seismicity, to assess focal mechanism solutions. As a test case, we studied the focal mechanism reliability by using synthetic data computed for ISNet, a local seismic network monitoring the Irpinia fault system (southern Italy).
Nicola Piana Agostinetti and Giulia Sgattoni
Solid Earth, 12, 2717–2733, https://doi.org/10.5194/se-12-2717-2021, https://doi.org/10.5194/se-12-2717-2021, 2021
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One of the present-day challenges for geoscientists is tackling the big data revolution. An ever-growing amount of data needs to be processed and data are subjectively handled before using them to make inferences on the Earth’s interior. But imposing subjective decisions on the data might have strong influences on the final outputs. Here we present a totally novel and automatic application for screening the data and for defining data volumes that are consistent with physical hypotheses.
Felix N. Wolf, Dietrich Lange, Anke Dannowski, Martin Thorwart, Wayne Crawford, Lars Wiesenberg, Ingo Grevemeyer, Heidrun Kopp, and the AlpArray Working Group
Solid Earth, 12, 2597–2613, https://doi.org/10.5194/se-12-2597-2021, https://doi.org/10.5194/se-12-2597-2021, 2021
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The Ligurian Sea opened ~30–15 Ma during SE migration of the Calabrian subduction zone. Using ambient seismic noise from stations on land and at the ocean bottom, we calculated a 3D shear-velocity model of the Ligurian Basin. In keeping with existing 2D studies, we find a shallow crust–mantle transition at the SW basin centre that deepens towards the northeast, Corsica, and the Liguro-Provençal coast. We observe a separation of SW and NE basins. We do not observe high crustal vP/vS ratios.
Ruth Keppler, Roman Vasin, Michael Stipp, Tomás Lokajícek, Matej Petruzálek, and Nikolaus Froitzheim
Solid Earth, 12, 2303–2326, https://doi.org/10.5194/se-12-2303-2021, https://doi.org/10.5194/se-12-2303-2021, 2021
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Rocks in mountain belts have been deformed during continental collision causing a certain alignment of the minerals referred to as crystallographic preferred orientation (CPO). Minerals have anisotropic properties: the velocity of seismic waves travelling through them is direction dependent. This leads to anisotropy of the rocks. We measured the CPO of common rocks within the Alps. With this data and known anisotropic properties of the minerals we calculated the seismic anisotropy of the rocks.
Laura Peruzza, Alessandra Schibuola, Maria Adelaide Romano, Marco Garbin, Mariangela Guidarelli, Denis Sandron, and Enrico Priolo
Solid Earth, 12, 2021–2039, https://doi.org/10.5194/se-12-2021-2021, https://doi.org/10.5194/se-12-2021-2021, 2021
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In weakly seismic or poorly monitored areas, the uncritical use of earthquake catalogues can be misleading. This is the case for a central sector in the Po Valley, where the Northern Apennines and Southern Alps collide. We collect and reprocess the available instrumental data of about 300 earthquakes from 1951 to 2019. The seismicity is weak, deeper than expected, and far from some existing human activities carried out underground. The potential tectonic causative sources are still unknown.
Fabian Limberger, Michael Lindenfeld, Hagen Deckert, and Georg Rümpker
Solid Earth, 12, 1851–1864, https://doi.org/10.5194/se-12-1851-2021, https://doi.org/10.5194/se-12-1851-2021, 2021
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Frequency-dependent amplitude decays of seismic signals induced by wind turbines are determined from (up to) 6 months of continuous recordings measured along an 8 km profile located at a wind farm in Bavaria, Germany. The radiation pattern and amplitude decay of the induced signals are accounted for by an analytical approach that includes path and source effects. This approach is generalized to predict the characteristic seismic radiation patterns of arbitrary wind farm configurations.
Azam Jozi Najafabadi, Christian Haberland, Trond Ryberg, Vincent F. Verwater, Eline Le Breton, Mark R. Handy, Michael Weber, and the AlpArray and AlpArray SWATH-D working groups
Solid Earth, 12, 1087–1109, https://doi.org/10.5194/se-12-1087-2021, https://doi.org/10.5194/se-12-1087-2021, 2021
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This study achieved high-precision hypocenters of 335 earthquakes (1–4.2 ML) and 1D velocity models of the Southern and Eastern Alps. The general pattern of seismicity reflects head-on convergence of the Adriatic Indenter with the Alpine orogenic crust. The relatively deeper seismicity in the eastern Southern Alps and Giudicarie Belt indicates southward propagation of the Southern Alpine deformation front. The derived hypocenters form excellent data for further seismological studies, e.g., LET.
Javier Ojeda and Sergio Ruiz
Solid Earth, 12, 1075–1085, https://doi.org/10.5194/se-12-1075-2021, https://doi.org/10.5194/se-12-1075-2021, 2021
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In Santiago, Chile, the lockdown imposed due to COVID-19 was recorded by seismological instruments. This analysis shows temporal changes in the surface vibrations controlled by lockdown phases, mobility, and epidemiological factors. Our findings suggest that
dynamic lockdownand the early deconfinement in April 2020 caused an increase in mobility and therefore virus transmission. We propose that seismic networks could be used to monitor urban mobility as a new proxy in public policies.
Jiří Kvapil, Jaroslava Plomerová, Hana Kampfová Exnerová, Vladislav Babuška, György Hetényi, and AlpArray Working Group
Solid Earth, 12, 1051–1074, https://doi.org/10.5194/se-12-1051-2021, https://doi.org/10.5194/se-12-1051-2021, 2021
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This paper presents a high-resolution 3-D shear wave velocity (vS) model of the Bohemian Massif crust imaged from high-density data and enhanced depth sensitivity of tomographic inversion. The dominant features of the model are relatively higher vS in the upper crust than in its surrounding, a distinct intra-crustal interface, and a velocity decrease in the lower part of the crust. The low vS in the lower part of the crust is explained by the anisotropic fabric of the lower crust.
Martijn P. A. van den Ende and Jean-Paul Ampuero
Solid Earth, 12, 915–934, https://doi.org/10.5194/se-12-915-2021, https://doi.org/10.5194/se-12-915-2021, 2021
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Distributed acoustic sensing (DAS) is an emerging technology that measures stretching of an optical-fibre cable. This technology can be used to record the ground shaking of earthquakes, which offers a cost-efficient alternative to conventional seismometers. Since DAS is relatively new, we need to verify that existing seismological methods can be applied to this new data type. In this study, we reveal several issues by comparing DAS with conventional seismometer data for earthquake localisation.
Mohammed Bello, David G. Cornwell, Nicholas Rawlinson, Anya M. Reading, and Othaniel K. Likkason
Solid Earth, 12, 463–481, https://doi.org/10.5194/se-12-463-2021, https://doi.org/10.5194/se-12-463-2021, 2021
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In this study, ground motion caused by distant earthquakes recorded in southeast Australia is used to image the structure of the crust and underlying mantle. This part of the Australian continent was assembled over the last 500 million years, but it remains poorly understood. By studying variations in crustal properties and thickness, we find evidence for the presence of an old microcontinent that is embedded in the younger terrane and forms a connection between Victoria and Tasmania.
Kasper van Wijk, Calum J. Chamberlain, Thomas Lecocq, and Koen Van Noten
Solid Earth, 12, 363–373, https://doi.org/10.5194/se-12-363-2021, https://doi.org/10.5194/se-12-363-2021, 2021
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The Auckland Volcanic Field is monitored by a seismic network. The lockdown measures to combat COVID-19 in New Zealand provided an opportunity to evaluate the performance of seismic stations in the network and to search for small(er) local earthquakes, potentially hidden in the noise during "normal" times. Cross-correlation of template events resulted in detection of 30 new events not detected by GeoNet, but there is no evidence of an increase in detections during the quiet period of lockdown.
Janneke van Ginkel, Elmer Ruigrok, and Rien Herber
Solid Earth, 11, 2015–2030, https://doi.org/10.5194/se-11-2015-2020, https://doi.org/10.5194/se-11-2015-2020, 2020
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Knowledge of subsurface velocities is key to understand how earthquake waves travel through the Earth. We present a method to construct velocity profiles for the upper sediment layer on top of the Groningen field, the Netherlands. Here, the soft-sediment layer causes resonance of seismic waves, and this resonance is used to compute velocities from. Recordings from large earthquakes and the background noise signals are used to derive reliable velocities for the deep sedimentary layer.
Ehsan Qorbani, Dimitri Zigone, Mark R. Handy, Götz Bokelmann, and AlpArray-EASI working group
Solid Earth, 11, 1947–1968, https://doi.org/10.5194/se-11-1947-2020, https://doi.org/10.5194/se-11-1947-2020, 2020
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The crustal structure of the Eastern and Southern Alps is complex. Although several seismological studies have targeted the crust, the velocity structure under this area is still not fully understood. Here we study the crustal velocity structure using seismic ambient noise tomography. Our high-resolution models image several velocity anomalies and contrasts and reveal details of the crustal structure. We discuss our new models of the crust with respect to the geologic and tectonic features.
Ben Moseley, Tarje Nissen-Meyer, and Andrew Markham
Solid Earth, 11, 1527–1549, https://doi.org/10.5194/se-11-1527-2020, https://doi.org/10.5194/se-11-1527-2020, 2020
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Simulations of seismic waves are very important; they allow us to understand how earthquakes spread and how the interior of the Earth is structured. However, whilst powerful, existing simulation methods usually require a large amount of computational power and time to run. In this research, we use modern machine learning techniques to accelerate these calculations inside complex models of the Earth.
Antonio Villaseñor, Robert B. Herrmann, Beatriz Gaite, and Arantza Ugalde
Solid Earth, 11, 63–74, https://doi.org/10.5194/se-11-63-2020, https://doi.org/10.5194/se-11-63-2020, 2020
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We present new earthquake focal depths and fault orientations for earthquakes that occurred in 2013 in the vicinity of an underground gas storage off the east coast of Spain. Our focal depths are in the range of 5–10 km, notably deeper than the depth of the gas injection (2 km). The obtained fault orientations also differ from the predominant faults at shallow depths. This suggests that the faults reactivated are deeper, previously unmapped faults occurring beneath the sedimentary layers.
Juvenal Andrés, Deyan Draganov, Martin Schimmel, Puy Ayarza, Imma Palomeras, Mario Ruiz, and Ramon Carbonell
Solid Earth, 10, 1937–1950, https://doi.org/10.5194/se-10-1937-2019, https://doi.org/10.5194/se-10-1937-2019, 2019
Marisol Monterrubio-Velasco, F. Ramón Zúñiga, José Carlos Carrasco-Jiménez, Víctor Márquez-Ramírez, and Josep de la Puente
Solid Earth, 10, 1519–1540, https://doi.org/10.5194/se-10-1519-2019, https://doi.org/10.5194/se-10-1519-2019, 2019
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Earthquake aftershocks display spatiotemporal correlations arising from their self-organized critical behavior. Stochastical models such as the fiber bundle (FBM) permit the use of an analog of the physical model that produces a statistical behavior with many similarities to real series. In this work, a new model based on FBM that includes geometrical faults systems is proposed. Our analysis focuses on aftershock statistics, and as a study case we modeled the Northridge sequence.
Chisheng Wang, Junzhuo Ke, Jincheng Jiang, Min Lu, Wenqun Xiu, Peng Liu, and Qingquan Li
Solid Earth, 10, 1397–1407, https://doi.org/10.5194/se-10-1397-2019, https://doi.org/10.5194/se-10-1397-2019, 2019
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The point cloud of located aftershocks contains the information which can directly reveal the fault geometry and temporal evolution of an earthquake sequence. However, there is a lack of studies using state-of-the-art visual analytics methods to explore the data to discover hidden information about the earthquake fault. We present a novel interactive approach to illustrate 3-D aftershock point clouds, which can help the seismologist to better understand the complex fault system.
Michael Behm, Feng Cheng, Anna Patterson, and Gerilyn S. Soreghan
Solid Earth, 10, 1337–1354, https://doi.org/10.5194/se-10-1337-2019, https://doi.org/10.5194/se-10-1337-2019, 2019
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New acquisition styles for active seismic source exploration provide a wealth of additional quasi-passive data. We show how these data can be used to gain complementary information about the subsurface. Specifically, we process an active-source dataset from an alpine valley in western Colorado with both active and passive inversion schemes. The results provide new insights on subsurface hydrology based on the ratio of P-wave and S-wave velocity structures.
Joeri Brackenhoff, Jan Thorbecke, and Kees Wapenaar
Solid Earth, 10, 1301–1319, https://doi.org/10.5194/se-10-1301-2019, https://doi.org/10.5194/se-10-1301-2019, 2019
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Earthquakes in the subsurface are hard to monitor due to their complicated signals. We aim to make the monitoring of the subsurface possible by redatuming the sources and the receivers from the surface of the Earth to the subsurface to monitor earthquakes originating from small faults in the subsurface. By using several sources together, we create complex earthquake signals for large-scale faults sources.
Peter Klin, Giovanna Laurenzano, Maria Adelaide Romano, Enrico Priolo, and Luca Martelli
Solid Earth, 10, 931–949, https://doi.org/10.5194/se-10-931-2019, https://doi.org/10.5194/se-10-931-2019, 2019
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Using geological and geophysical data, we set up a 3-D digital description of the underground structure in the central part of the Po alluvial plain. By means of computer-simulated propagation of seismic waves, we were able to identify the structural features that caused the unexpected elongation and amplification of the earthquake ground motion that was observed in the area during the 2012 seismic crisis. The study permits a deeper understanding of the seismic hazard in alluvial basins.
Andrew J. Calvert and Michael P. Doublier
Solid Earth, 10, 637–645, https://doi.org/10.5194/se-10-637-2019, https://doi.org/10.5194/se-10-637-2019, 2019
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Deep (> 40 km) seismic reflection surveys are acquired on land along crooked roads. Using the varying azimuth between source and receiver, the true 3-D orientation of crustal structures can be determined. Applying this method to a survey over the ancient Australian Yilgarn Craton reveals that most reflectors in the lower crust exhibit a systematic dip perpendicular to those in the overlying crust, consistent with lateral flow of a weak lower crust in the hotter early Earth 2.7 billion years ago.
Ruth A. Beckel and Christopher Juhlin
Solid Earth, 10, 581–598, https://doi.org/10.5194/se-10-581-2019, https://doi.org/10.5194/se-10-581-2019, 2019
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Scandinavia is crossed by extensive fault scarps that have likely been caused by huge earthquakes when the ice sheets of the last glacial melted. Due to the inaccessibility of the terrain, reflection seismic data have to be collected along crooked lines, which reduces the imaging quality unless special corrections are applied. We developed a new correction method that is very tolerant to noise and used it to improve the reflection image of such a fault and refine its geological interpretation.
Kees Wapenaar, Joeri Brackenhoff, and Jan Thorbecke
Solid Earth, 10, 517–536, https://doi.org/10.5194/se-10-517-2019, https://doi.org/10.5194/se-10-517-2019, 2019
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The earthquake seismology and seismic exploration communities have developed a variety of seismic imaging methods for passive- and active-source data. Despite the seemingly different approaches and underlying principles, many of these methods are based in some way or another on the same mathematical theorem. Starting with this theorem, we discuss a variety of classical and recent seismic imaging methods in a systematic way and explain their similarities and differences.
George Taylor, Sebastian Rost, Gregory A. Houseman, and Gregor Hillers
Solid Earth, 10, 363–378, https://doi.org/10.5194/se-10-363-2019, https://doi.org/10.5194/se-10-363-2019, 2019
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We constructed a seismic velocity model of the North Anatolian Fault in Turkey. We found that the fault is located within a region of reduced seismic velocity and skirts the edges of a geological unit that displays high seismic velocity, indicating that this unit could be stronger than the surrounding material. Furthermore, we found that seismic waves travel fastest in the NE–SW direction, which is the direction of maximum extension for this part of Turkey and indicates mineral alignment.
Haruo Sato
Solid Earth, 10, 275–292, https://doi.org/10.5194/se-10-275-2019, https://doi.org/10.5194/se-10-275-2019, 2019
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Recent seismological observations clarified that the velocity structure of the crust and upper mantle is randomly heterogeneous. I compile reported power spectral density functions of random velocity fluctuations based on various types of measurements. Their spectral envelope is approximated by the third power of wavenumber. It is interesting to study what kinds of geophysical processes created such a power-law spectral envelope at different scales and in different geological environments.
Peter Gaebler, Lars Ceranna, Nima Nooshiri, Andreas Barth, Simone Cesca, Michaela Frei, Ilona Grünberg, Gernot Hartmann, Karl Koch, Christoph Pilger, J. Ole Ross, and Torsten Dahm
Solid Earth, 10, 59–78, https://doi.org/10.5194/se-10-59-2019, https://doi.org/10.5194/se-10-59-2019, 2019
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On 3 September 2017 official channels of the Democratic People’s Republic of
Korea announced the successful test of a nuclear device. This study provides a
multi-technology analysis of the 2017 North Korean event and its aftermath using a wide array of geophysical methods (seismology, infrasound, remote sensing, radionuclide monitoring, and atmospheric transport modeling). Our results clearly indicate that the September 2017 North Korean event was in fact a nuclear test.
Claudia Werner and Erik H. Saenger
Solid Earth, 9, 1487–1505, https://doi.org/10.5194/se-9-1487-2018, https://doi.org/10.5194/se-9-1487-2018, 2018
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Time reverse imaging is a method for locating quasi-simultaneous or low-amplitude earthquakes. Numerous three-dimensional synthetic simulations were performed to discover the influence of station distributions, complex velocity models and high noise rates on the reliability of localisations. The guidelines obtained enable the estimation of the localisation success rates of an existing station set-up and provide the basis for designing new arrays.
Cited articles
Afanasiev, M., Boehm, C., van Driel, M., Krischer, L., Rietmann, M., May, D. A., Knepley, M. G., and Fichtner, A.:
Modular and flexible spectral-element waveform modelling in two and three dimensions,
Geophys. J. Int.,
216, 1675–1692, https://doi.org/10.1093/gji/ggy469, 2018. a
Aki, K.:
Space and time spectra of stationary stochastic waves, with special reference to microtremors,
B. Earthq. Res. I. Tokyo,
35, 415–456, 1957. a
Ardhuin, F., Stutzmann, E., Schimmel, M., and Mangeney, A.:
Ocean wave sources of seismic noise,
J. Geophys. Res.,
116, C09004, https://doi.org/10.1029/2011JC006952, 2011. a
Ardhuin, F., Gualtieri, L., and Stutzmann, E.:
How ocean waves rock the Earth: Two mechanisms explain microseisms with periods 3 to 300 s,
Geophys. Res. Lett.,
42, 765–772, https://doi.org/10.1002/2014GL062782, 2015. a, b, c
Bard, P.-Y., Cadet, H., Endrun, B., Hobiger, M., Renalier, F., Theodulidis, N., Ohrnberger, M., Fäh, D., Sabetta, F., Teves-Costa, P., Duval, A.-M., Cornou, C., Guillier, B., Wathelet, M., Savvaidis, A., Köhler, A., Burjanek, J., Poggi, V., Gassner-Stamm, G., Havenith, H., Hailemikael, S., Almeida, J., Rodrigues, I., Veludo, I., Lacave, C., Thomassin, S., and Kristekova, M.:
From Non-invasive Site Characterization to Site Amplification: Recent Advances in the Use of Ambient Vibration Measurements,
Springer, Dordrecht, 2010. a
Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann, J.:
ObsPy: A Python Toolbox for Seismology,
Seismol. Res. Lett.,
81, 530–533, https://doi.org/10.1785/gssrl.81.3.530, 2010. a, b
Boehm, C., Hanzich, M., de la Puente, J., and Fichtner, A.:
Wavefield compression or adjoint methods in full-waveform inversion,
Geophysics,
81, R385–R397, 2016. a
Bowden, D. C., Tsai, V. C., and Lin, F. C.:
Site amplification, attenuation, and scattering from noise correlation amplitudes across a dense array in Long Beach, CA,
Geophys. Res. Lett.,
42, 1360–1367, https://doi.org/10.1002/2014GL062662, 2015. a
Brenguier, F., Shapiro, N. M., Campillo, M., Ferrazzini, V., Duputel, Z., Coutant, O., and Nercessian, A.:
Towards forecasting volcanic eruptions using seismic noise,
Nat. Geosci.,
1, 126–130, 2008. a
Claerbout, J.:
Synthesis of a layered medium from its acoustic transmission response,
Geophysics,
33, 264–269, 1968. a
Clements, T. and Denolle, M. A.:
Tracking Groundwater Levels Using the Ambient Seismic Field,
Geophys. Res. Lett.,
45, 6459–6465, https://doi.org/10.1029/2018GL077706, 2018. a
Collette, A.:
Python and HDF5,
O'Reilly, Sebastopol, California, 2013. a
Cupillard, P. and Capdeville, Y.:
On the amplitude of surface waves obtained by noise correlation and the capability to recover the attenuation: a numerical approach,
Geophys. J. Int.,
181, 1687–1700, 2010. a
Dahm, T., Heimann, S., Funke, S., Wendt, S., Rappsilber, I., Bindi, D., Plenefisch, T., and Cotton, F.:
Seismicity in the block mountains between Halle and Leipzig, Central Germany: centroid moment tensors, ground motion simulation, and felt intensities of two M∼3 earthquakes in 2015 and 2017,
J. Seismol.,
22, 985–1003, 2018. a
Datta, A., Hanasoge, S., and Goudswaard, J.:
Finite-Frequency Inversion of Cross-Correlation Amplitudes for Ambient Noise Source Directivity Estimation,
J. Geophys. Res.,
124, 6653–6665, https://doi.org/10.1029/2019JB017602, 2019. a, b, c, d
Deen, M., Stutzmann, E., and Ardhuin, F.:
The Earth's Hum Variations From a Global Model and Seismic Recordings Around the Indian Ocean,
Geochem. Geoph. Geosy.,
19, 4006–4020, https://doi.org/10.1029/2018GC007478, 2018. a, b, c
Delaney, E., Ermert, L., Sager, K., Kritski, A., Bussat, S., and Fichtner, A.:
Removal of traveltime errors in time-lapse passive seismic monitoring induced by non-stationary noise sources,
Geophysics,
82, KS57–KS70, 2017. a
Denolle, M. A., Dunham, E. M., Prieto, G. A., and Beroza, G. C.:
Ground motion prediction of realistic earthquake sources using the ambient seismic field,
J. Geophys. Res.,
118, 2102–2118, https://doi.org/10.1029/2012JB009603, 2013. a
de Ridder, S. A. L., Biondi, B. L., and Clapp, R. G.:
Time-lapse seismic noise correlation tomography at Valhall,
Geophys. Res. Lett.,
41, 6116–6122, https://doi.org/10.1002/2014GL061156, 2014. a
Ermert, L. and Igel, J.: noisi, GitHub, available at: https://github.com/lermert/noisi, last access: 26 August 2020. a
Fan, Y. and Snieder, R.:
Required source distribution for interferometry of waves and diffusive fields,
Geophys. J. Int.,
179, 1232–1244, https://doi.org/10.1111/j.1365-246X.2009.04358.x, 2009. a, b, c
Fang, H., Yao, H., Zhang, H., Huang, Y.-C., and van der Hilst, R. D.:
Direct inversion of surface wave dispersion for three-dimensional shallow crustal structure based on ray tracing: methodology and application,
Geophys. J. Int.,
201, 1251, https://doi.org/10.1093/gji/ggv080, 2015. a
Farra, V., Stutzmann, E., Gualtieri, L., Schimmel, M., and Ardhuin, F.:
Ray-theoretical modeling of secondary microseism P waves,
Geophys. J. Int.,
206, 1730, https://doi.org/10.1093/gji/ggw242, 2016. a
Fichtner, A. and Simutė, S.:
Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media,
J. Geophys. Res.,
123, 2984–2999, https://doi.org/10.1002/2017JB015249, 2018. a
Gualtieri, L. and Ekström, G.:
Broad-band seismic analysis and modeling of the 2015 Taan Fjord, Alaska landslide using Instaseis,
Geophys. J. Int.,
213, 1912–1923, 2018. a
Gualtieri, L., Stutzmann, E., Capdeville, Y., Ardhuin, F., Schimmel, M., Mangeney, A., and Morelli, A.:
Modelling secondary microseismic noise by normal mode summation,
Geophys. J. Int.,
193, 1732–1745, 2013. a
Halliday, D. and Curtis, A.: Seismic interferometry, surface waves and source distribution,
Geophys. J. Int.,
175, 1067–1087, https://doi.org/10.1111/j.1365-246X.2008.03918.x, 2008. a, b, c
Hanasoge, S. M.:
The influence of noise sources on cross-correlation amplitudes,
Geophys. J. Int.,
192, 295–309, https://doi.org/10.1093/gji/ggs015, 2013a. a, b, c
Hanasoge, S. M.:
Measurements and kernels for source-structure inversions in noise tomography,
Geophys. J. Int.,
196, 971–985, https://doi.org/10.1093/gji/ggt411, 2013b. a
Haned, A., Stutzmann, E., Schimmel, M., Kiselev, S., Davaille, A., and Yelles-Chaouche, A.:
Global tomography using seismic hum,
Geophys. J. Int.,
204, 1222, https://doi.org/10.1093/gji/ggv516, 2016. a, b
Heimann, S., Vasyura-Bathke, H., Sudhaus, H., Isken, M. P., Kriegerowski, M., Steinberg, A., and Dahm, T.: A Python framework for efficient use of pre-computed Green's functions in seismological and other physical forward and inverse source problems, Solid Earth, 10, 1921–1935, https://doi.org/10.5194/se-10-1921-2019, 2019. a, b
Hosseini, K. and Sigloch, K.: ObspyDMT: a Python toolbox for retrieving and processing large seismological data sets, Solid Earth, 8, 1047–1070, https://doi.org/10.5194/se-8-1047-2017, 2017. a
Igel, J.:
Near Real-Time Finite-Frequency Ambient Seismic Noise Source Inversion,
Masterarbeit ETH Zürich, 2019. a
IRIS:
The IRIS Synthetics Engine,
Incorporated Research Institutions for Seismology, Washington, DC, https://doi.org/10.17611/DP/SYNGINE.1, 2015. a
Juretzek, C. and Hadziioannou, C.:
Linking source region and ocean wave parameters with the observed primary microseismic noise,
Geophys. J. Int.,
211, 1640–1654, https://doi.org/10.1093/gji/ggx388, 2017. a
Komatitsch, D. and Tromp, J.:
Spectral-element simulations of global seismic wave propagation, Part I: validation,
Geophys. J. Int.,
149, 390–412, 2002b. a
Laske, G., Masters., G., Ma, Z. and Pasyanos, M.: Update on CRUST1.0 – A 1-degree Global Model of
Earth's Crust,
Geophys. Res. Abstr.,
EGU2013-2658, EGU General Assembly 2013, Vienna, Austria, 2013. a
Lecocq, T., Caudron, C., and Brenguier, F.:
MSNoise, a Python Package for Monitoring Seismic Velocity Changes Using Ambient Seismic Noise,
Seismol. Res. Lett.,
85, 715–726, https://doi.org/10.1785/0220130073, 2014. a, b
Leng, K., Nissen-Meyer, T., and van Driel, M.:
Efficient global wave propagation adapted to 3-D structural complexity: a pseudospectral/spectral-element approach,
Geophys. J. Int.,
207, 1700, https://doi.org/10.1093/gji/ggw363, 2016. a, b
Leng, K., Nissen-Meyer, T., van Driel, M., Hosseini, K., and Al-Attar, D.:
AxiSEM3D: broad-band seismic wavefields in 3-D global earth models with undulating discontinuities,
Geophys. J. Int.,
217, 2125–2146, https://doi.org/10.1093/gji/ggz092, 2019. a, b
IRIS DMC:
Data Services Products: Global Empirical Greens Tensors,
Incorporated Research Institutions for Seismology, Washington, DC, https://doi.org/10.17611/DP/GEGT.1, 2015. a
Millman, K. J. and Aivazis, M.:
Python for Scientists and Engineers,
Comput. Sci. Eng.,
13, 9–12, https://doi.org/10.1109/MCSE.2011.36, 2011. a, b
Nakata, N., Gualtieri, L., and Fichtner, A.:
Seismic Ambient Noise,
Cambridge University Press, Cambridge, New York, 2019. a
Nie, S., Anthony, D., and Ma, S.:
Testing the Amplitude of the Deconvolution-Based Ambient-Field Green's Functions by 3-D Simulations of Elastic Wave Propagation in Sedimentary Basins,
J. Geophys. Res.-Sol. Ea.,
124, 7213–7226, https://doi.org/10.1029/2018JB017197, 2019. a
Nishida, K. and Fukao, Y.: Source distribution of Earth's background free oscillations,
J. Geophys. Res.,
112, b06306, https://doi.org/10.1029/2006JB004720, 2007. a, b, c
Nishida, K. and Takagi, R.:
Teleseismic S wave microseisms,
Science,
353, 919–921, 2016. a
Nishida, K., Montagner, J.-P., and Kawakatsu, H.:
Global Surface Wave Tomography Using Seismic Hum,
Science,
326, 112–112, https://doi.org/10.1126/science.1176389, 2009. a
Nocedal, J. and Wright, S. J.:
Large-scale unconstrained optimization,
in: Numerical Optimization, Springer, New York, 164–192, 2006. a
Obermann, A., Planès, T., Larose, E., and Campillo, M.:
Imaging preeruptive and coeruptive structural and mechanical changes of a volcano with ambient seismic noise,
J. Geophys. Res.,
118, 6285–6294, https://doi.org/10.1002/2013JB010399, 2013. a
Oliphant, T. E.:
A guide to NumPy, Vol. 1, available at:
http://web.mit.edu/dvp/Public/numpybook.pdf, last access: 26 August 2020. a
Retailleau, L., Boué, P., Stehly, L., and Campillo, M.:
Locating Microseism Sources Using Spurious Arrivals in Intercontinental Noise Correlations,
J. Geophys. Res.,
122, 8107–8120, https://doi.org/10.1002/2017JB014593, 2017. a
Retailleau, L., Landès, M., Gualtieri, L., Shapiro, N. M., Campillo, M., Roux, P., and Guilbert, J.:
Detection and analysis of a transient energy burst with beamforming of multiple teleseismic phases,
Geophys. J. Int.,
212, 14–24, https://doi.org/10.1093/gji/ggx410, 2018. a
Ritsema, J., Deuss, A., van Heijst, H. J., and Woodhouse, J. H.:
S40RTS: a degree-40 shear-velocity model for the mantle from new Rayleigh wave dispersion, teleseismic traveltime and normal-mode splitting function measurements,
Geophys. J. Int.,
184, 1223–1236, 2011. a
Romero, P. and Schimmel, M.:
Mapping the basement of the Ebro Basin in Spain with seismic ambient noise autocorrelations,
J. Geophys. Res.,
123, 5052–5067, 2018. a
Roten, D., Fäh, D., Cornou, C., and Giardini, D.:
Two-dimensional resonances in Alpine valleys identified from ambient vibration wavefields,
Geophys. J. Int.,
165, 889–905, 2006. a
Sadeghisorkhani, H., Gudmundsson, O., Roberts, R., and Tryggvason, A.:
Velocity-measurement bias of the ambient noise method due to source directivity: a case study for the Swedish National Seismic Network,
Geophys. J. Int.,
209, 1648, https://doi.org/10.1093/gji/ggx115, 2017. a
Sager, K., Boehm, C., Ermert, L., Krischer, L., and Fichtner, A.:
Global-Scale Full-Waveform Ambient Noise Inversion,
J. Geophys. Res.,
125, e2019JB018644, https://doi.org/10.1029/2019JB018644, 2020. a, b, c, d
Sánchez-Pastor, P., Obermann, A., Schimmel, M., Weemstra, C., Verdel, A., and Jousset, P.:
Short- and Long-Term Variations in the Reykjanes Geothermal Reservoir From Seismic Noise Interferometry,
Geophys. Res. Lett.,
46, 5788–5798, https://doi.org/10.1029/2019GL082352, 2019. a
Saygin, E., Cummins, P. R., and Lumley, D.:
Retrieval of the P wave reflectivity response from autocorrelation of seismic noise: Jakarta Basin, Indonesia,
Geophys. Res. Lett.,
44, 792–799, 2017. a
Sens-Schönfelder, C. and Wegler, U.:
Passive image interferometry and seasonal variations of seismic velocities at Merapi Volcano, Indonesia,
Geophys. Res. Lett.,
33, l21302, https://doi.org/10.1029/2006GL027797, 2006. a
Shapiro, N. M. and Campillo, M.:
Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise,
Geophys. Res. Lett.,
31, l07614, https://doi.org/10.1029/2004GL019491, 2004. a
Shapiro, N. M., Campillo, M., Stehly, L., and Ritzwoller, M.:
High resolution surface wave tomography from ambient seismic noise,
Science,
307, 1615–1618, 2005. a
Shapiro, N. M., Ritzwoller, M., and Bensen, G.:
Source location of the 26 sec microseism from cross-correlations of ambient seismic noise,
Geophys. Res. Lett.,
33, L18310, https://doi.org/10.1029/2006GL027010, 2006. a
Simonov, K.:
PyYAML,
available at: https://pypi.org/project/PyYAML/ (last access: 26 August 2020), 2014. a
Singer, J., Obermann, A., Kissling, E., Fang, H., Hetényi, G., and Grujic, D.:
Along-strike variations in the Himalayan orogenic wedge structure in Bhutan from ambient seismic noise tomography,
Geochem. Geoph. Geosy.,
18, 1483–1498, 2017. a
Snieder, R.:
Extracting the Green's function from the correlation of coda waves: A derivation based on stationary phase,
Phys. Rev. E,
69, 046610, https://doi.org/10.1103/PhysRevE.69.046610, 2004. a, b, c
Stehly, L. and Boué, P.:
On the interpretation of the amplitude decay of noise correlations computed along a line of receivers,
Geophys. J. Int.,
209, 358, https://doi.org/10.1093/gji/ggx021, 2017. a, b, c
Stehly, L., Campillo, M., and Shapiro, N. M.:
A study of the seismic noise from its long-range correlation properties,
J. Geophys. Res.,
111, B10306, https://doi.org/10.1029/2005JB004237, 2006. a
Stehly, L., Campillo, M., Froment, B., and Weaver, R. L.:
Reconstructing Green's function by correlation of the coda of the correlation (C3) of ambient seismic noise,
J. Geophys. Res.,
113, b11306, https://doi.org/10.1029/2008JB005693, 2008. a
Stehly, L., Fry, B., Campillo, M., Shapiro, N., Guilbert, J., Boschi, L., and Giardini, D.:
Tomography of the Alpine region from observations of seismic ambient noise,
Geophys. J. Int.,
178, 338–350, 2009. a
Stutzmann, E., Ardhuin, F., Schimmel, M., Mangeney, A., and Patau, G.:
Modelling long-term seismic noise in various environments,
Geophys. J. Int.,
191, 707–722, https://doi.org/10.1111/j.1365-246X.2012.05638.x, 2012. a, b, c
Taylor, G., Rost, S., and Houseman, G.:
Crustal imaging across the North Anatolian Fault Zone from the autocorrelation of ambient seismic noise,
Geophys. Res. Lett.,
43, 2502–2509, 2016. a
Tsai, V. C.:
On establishing the accuracy of noise tomography traveltime measurements in a realistic medium,
Geophys. J. Int.,
178, 1555–1564, 2009. a
van Driel, M., Krischer, L., Stähler, S. C., Hosseini, K., and Nissen-Meyer, T.: Instaseis: instant global seismograms based on a broadband waveform database, Solid Earth, 6, 701–717, https://doi.org/10.5194/se-6-701-2015, 2015. a, b, c, d
Ventosa, S., Schimmel, M., and Stutzmann, E.:
Towards the Processing of Large Data Volumes with Phase Cross-Correlation,
Seismol. Res. Lett.,
90, 1663–1669, https://doi.org/10.1785/0220190022, 2019.
a, b
Viens, L., Denolle, M. A., Hirata, N., and Nakagawa, S.:
Complex Near-Surface Rheology Inferred From the Response of Greater Tokyo to Strong Ground Motions,
J. Geophys. Res.,
123, 5710–5729, https://doi.org/10.1029/2018JB015697, 2018. a
Wapenaar, K.:
Retrieving the elastodynamic Green's function of an arbitrary inhomogeneous medium by cross correlation,
Phys. Rev. Lett.,
93, 254301, https://doi.org/10.1103/PhysRevLett.93.254301, 2004. a
Weaver, R. L. and Lobkis, O. I.:
Ultrasonics without a Source: Thermal Fluctuation Correlations at MHz Frequencies,
Phys. Rev. Lett.,
87, 134301, https://doi.org/10.1103/PhysRevLett.87.134301, 2001. a
Xu, Z., Mikesell, T. D., and Gribler, G.:
Source-distribution estimation from direct Rayleigh waves in multicomponent crosscorrelations,
in: SEG Technical Program Expanded Abstracts 2018,
3090–3094, https://doi.org/10.1190/segam2018-2997342.1, 2018. a, b, c
Yang, Y., Ritzwoller, M. H., Levshin, A. L., and Shapiro, N. M.:
Ambient noise Rayleigh wave tomography across Europe,
Geophys. J. Int.,
168, 259, https://doi.org/10.1111/j.1365-246X.2006.03203.x, 2007. a
Zheng, Y., Shen, W., Zhou, L., Yang, Y., Xie, Z., and Ritzwoller, M. H.:
Crust and uppermost mantle beneath the North China Craton, northeastern China, and the Sea of Japan from ambient noise tomography,
J. Geophys. Res.,
116, b12312, https://doi.org/10.1029/2011JB008637, 2011. a
Short summary
We present an open-source tool to model ambient seismic auto- and cross-correlations with spatially varying source spectra. The modeling is based on pre-computed databases of seismic wave propagation, which can be obtained from public data providers. The aim of this tool is to facilitate the modeling of ambient noise correlations, which are an important seismologic observable, with realistic wave propagation physics. We present a description and benchmark along with example use cases.
We present an open-source tool to model ambient seismic auto- and cross-correlations with...
