Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1773-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
31 Mar 2021
Model description paper |
| 31 Mar 2021
| 31 Mar 2021
GO_3D_OBS: the multi-parameter benchmark geomodel for seismic imaging method assessment and next-generation 3D survey design (version 1.0)
ISTerre, Univ. Grenoble Alpes, 38000 Grenoble, France
Institute of Geophysics, Polish Academy of Sciences, ul. Ks. Janusza 64, 01-452 Warsaw, Poland
Stéphane Operto
Université Côte d'Azur, Observatoire de la Côte d’Azur, CNRS, IRD, Géoazur, Valbonne, France
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This preprint is open for discussion and under review for Solid Earth (SE).
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Two reflection seismic (semi-)regional profiles were acquired to map the regional reflectivity of the Koillismaa Layered Igneous Complex in north-eastern Finland. Several reflections up to a depth of 5–6 km are mapped. The top of the magma conduit associated with KLIC is successfully revealed and it is interpreted that there might be a second magma conduit below the exposed intrusion. The study helped in better understanding of the regional structural geology of the area.
Brij Singh, Michał Malinowski, Andrzej Górszczyk, Alireza Malehmir, Stefan Buske, Łukasz Sito, and Paul Marsden
Solid Earth, 13, 1065–1085, https://doi.org/10.5194/se-13-1065-2022, https://doi.org/10.5194/se-13-1065-2022, 2022
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Fast depletion of shallower deposits is pushing the mining industry to look for cutting-edge technologies for deep mineral targeting. We demonstrated a joint workflow including two state-of-the-art technologies: full-waveform inversion and reverse time migration. We produced Earth images with significant details which can help with better estimation of areas with high mineralisation, better mine planning and safety measures.
Andrzej Górszczyk, Stéphane Operto, Laure Schenini, and Yasuhiro Yamada
Solid Earth, 10, 765–784, https://doi.org/10.5194/se-10-765-2019, https://doi.org/10.5194/se-10-765-2019, 2019
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In order to broaden our knowledge about the deep lithosphere using seismic methods, we develop leading-edge imaging workflows integrating different types of data. Here we exploit the complementary information carried by seismic wavefields, which are fundamentally different in terms of acquisition setting. We cast this information into our processing workflow and build a detailed model of the subduction zone, which is subject to further geological interpretation.
Brij Singh, Andrzej Górszczyk, Michał Malinowski, Suvi Heinonen, Uula Autio, Tuomo Karinen, Marek Wojdyła, and the SEEMS DEEP Working Group
EGUsphere, https://doi.org/10.5194/egusphere-2025-496, https://doi.org/10.5194/egusphere-2025-496, 2025
This preprint is open for discussion and under review for Solid Earth (SE).
Short summary
Short summary
Two reflection seismic (semi-)regional profiles were acquired to map the regional reflectivity of the Koillismaa Layered Igneous Complex in north-eastern Finland. Several reflections up to a depth of 5–6 km are mapped. The top of the magma conduit associated with KLIC is successfully revealed and it is interpreted that there might be a second magma conduit below the exposed intrusion. The study helped in better understanding of the regional structural geology of the area.
Brij Singh, Michał Malinowski, Andrzej Górszczyk, Alireza Malehmir, Stefan Buske, Łukasz Sito, and Paul Marsden
Solid Earth, 13, 1065–1085, https://doi.org/10.5194/se-13-1065-2022, https://doi.org/10.5194/se-13-1065-2022, 2022
Short summary
Short summary
Fast depletion of shallower deposits is pushing the mining industry to look for cutting-edge technologies for deep mineral targeting. We demonstrated a joint workflow including two state-of-the-art technologies: full-waveform inversion and reverse time migration. We produced Earth images with significant details which can help with better estimation of areas with high mineralisation, better mine planning and safety measures.
Andrzej Górszczyk, Stéphane Operto, Laure Schenini, and Yasuhiro Yamada
Solid Earth, 10, 765–784, https://doi.org/10.5194/se-10-765-2019, https://doi.org/10.5194/se-10-765-2019, 2019
Short summary
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In order to broaden our knowledge about the deep lithosphere using seismic methods, we develop leading-edge imaging workflows integrating different types of data. Here we exploit the complementary information carried by seismic wavefields, which are fundamentally different in terms of acquisition setting. We cast this information into our processing workflow and build a detailed model of the subduction zone, which is subject to further geological interpretation.
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Our study proposes a three-dimensional analytical solution for the self-potential (SP) method to detect seafloor massive sulfide deposits. Using the mirror image method, we derived formulas for the SP generated by polarized bodies in layered media. We conducted experiments with a simulated environment and compared the results with our theoretical predictions. The findings confirmed a high degree of accuracy, demonstrating the reliability of our approach for faster and precise SP modeling.
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Sia Ghelichkhan, Angus Gibson, D. Rhodri Davies, Stephan C. Kramer, and David A. Ham
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We introduce the Geoscientific ADjoint Optimisation PlaTform (G-ADOPT), designed for inverse modelling of Earth system processes, with an initial focus on mantle dynamics. G-ADOPT is built upon Firedrake, Dolfin-Adjoint and the Rapid Optimisation Library, which work together to optimise models using an adjoint method, aligning them with seismic and geologic datasets. We demonstrate G-ADOPT's ability to reconstruct mantle evolution and thus be a powerful tool in geosciences.
Rene Gassmöller, Juliane Dannberg, Wolfgang Bangerth, Elbridge Gerry Puckett, and Cedric Thieulot
Geosci. Model Dev., 17, 4115–4134, https://doi.org/10.5194/gmd-17-4115-2024, https://doi.org/10.5194/gmd-17-4115-2024, 2024
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Numerical models that use simulated particles are a powerful tool for investigating flow in the interior of the Earth, but the accuracy of these models is not fully understood. Here we present two new benchmarks that allow measurement of model accuracy. We then document that better accuracy matters for applications like convection beneath an oceanic plate. Our benchmarks and methods are freely available to help the community develop better models.
Malte Jörn Ziebarth and Sebastian von Specht
Geosci. Model Dev., 17, 2783–2828, https://doi.org/10.5194/gmd-17-2783-2024, https://doi.org/10.5194/gmd-17-2783-2024, 2024
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Thermal energy from Earth’s active interior constantly dissipates through Earth’s surface. This heat flow is not spatially uniform, and its exact pattern is hard to predict since it depends on crustal and mantle properties, both varying across scales. Our new model REHEATFUNQ addresses this difficulty by treating the fluctuations of heat flow within a region statistically. REHEATFUNQ estimates the regional distribution of heat flow and quantifies known structural signals therein.
Shouzhi Chen, Yongshuo H. Fu, Mingwei Li, Zitong Jia, Yishuo Cui, and Jing Tang
Geosci. Model Dev., 17, 2509–2523, https://doi.org/10.5194/gmd-17-2509-2024, https://doi.org/10.5194/gmd-17-2509-2024, 2024
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It is still a challenge to achieve an accurate simulation of vegetation phenology in the dynamic global vegetation models (DGVMs). We implemented and coupled the spring and autumn phenology models into one of the DGVMs, LPJ-GUESS, and substantially improved the accuracy in capturing the start and end dates of growing seasons. Our study highlights the importance of getting accurate phenology estimations to reduce the uncertainties in plant distribution and terrestrial carbon and water cycling.
Dechao An, Jinyun Guo, Xiaotao Chang, Zhenming Wang, Yongjun Jia, Xin Liu, Valery Bondur, and Heping Sun
Geosci. Model Dev., 17, 2039–2052, https://doi.org/10.5194/gmd-17-2039-2024, https://doi.org/10.5194/gmd-17-2039-2024, 2024
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Seafloor topography, as fundamental geoinformation in marine surveying and mapping, plays a crucial role in numerous scientific studies. In this paper, we focus on constructing a high-precision seafloor topography and bathymetry model for the Philippine Sea (5° N–35° N, 120° E–150° E), based on shipborne bathymetric data and marine gravity anomalies, and evaluate the reliability of the model's accuracy.
Octavi Gómez-Novell, Bruno Pace, Francesco Visini, Joanna Faure Walker, and Oona Scotti
Geosci. Model Dev., 16, 7339–7355, https://doi.org/10.5194/gmd-16-7339-2023, https://doi.org/10.5194/gmd-16-7339-2023, 2023
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Knowing the rate at which earthquakes happen along active faults is crucial to characterize the hazard that they pose. We present an approach (Paleoseismic EArthquake CHronologies, PEACH) to correlate and compute seismic histories using paleoseismic data, a type of data that characterizes past seismic activity from the geological record. Our approach reduces the uncertainties of the seismic histories and overall can improve the knowledge on fault rupture behavior for the seismic hazard.
Sébastien Carretier, Vincent Regard, Youssouf Abdelhafiz, and Bastien Plazolles
Geosci. Model Dev., 16, 6741–6755, https://doi.org/10.5194/gmd-16-6741-2023, https://doi.org/10.5194/gmd-16-6741-2023, 2023
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We present the development of a code to simulate simultaneously the dynamics of landscapes over geological time and the evolution of the concentration of cosmogenic isotopes in grains throughout their transport from the slopes to the river outlets. This new model makes it possible to study the relationship between the detrital signal of cosmogenic isotope concentration measured in sediment and the erosion--deposition processes in watersheds.
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Samantha Engwell
Geosci. Model Dev., 16, 6309–6336, https://doi.org/10.5194/gmd-16-6309-2023, https://doi.org/10.5194/gmd-16-6309-2023, 2023
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We present version 2 of the numerical code IMEX-SfloW2D. With this version it is possible to simulate a wide range of volcanic mass flows (pyroclastic avalanches, lahars, pyroclastic surges), and here we present its application to transient dilute pyroclastic density currents (PDCs). A simulation of the 1883 Krakatau eruption demonstrates the capability of the numerical model to face a complex natural case involving the propagation of PDCs over the sea surface and across topographic obstacles.
Caroline J. van Calcar, Roderik S. W. van de Wal, Bas Blank, Bas de Boer, and Wouter van der Wal
Geosci. Model Dev., 16, 5473–5492, https://doi.org/10.5194/gmd-16-5473-2023, https://doi.org/10.5194/gmd-16-5473-2023, 2023
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The waxing and waning of the Antarctic ice sheet caused the Earth’s surface to deform, which is stabilizing the ice sheet and mainly determined by the spatially variable viscosity of the mantle. Including this feedback in model simulations led to significant differences in ice sheet extent and ice thickness over the last glacial cycle. The results underline and quantify the importance of including this local feedback effect in ice sheet models when simulating the Antarctic ice sheet evolution.
Baoyi Zhang, Linze Du, Umair Khan, Yongqiang Tong, Lifang Wang, and Hao Deng
Geosci. Model Dev., 16, 3651–3674, https://doi.org/10.5194/gmd-16-3651-2023, https://doi.org/10.5194/gmd-16-3651-2023, 2023
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We propose a Hermite–Birkhoff radial basis function (HRBF) formulation, AdaHRBF, with an adaptive gradient magnitude for continuous 3D stratigraphic potential field (SPF) modeling of multiple stratigraphic interfaces. In the linear system of HRBF interpolants constrained by the scattered on-contact attribute points and off-contact attitude points of a set of strata in 3D space, we add a novel optimization term to iteratively obtain the true gradient magnitude.
Mohammad Moulaeifard, Simon Bernard, and Florian Wellmann
Geosci. Model Dev., 16, 3565–3579, https://doi.org/10.5194/gmd-16-3565-2023, https://doi.org/10.5194/gmd-16-3565-2023, 2023
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In this work, we propose a flexible framework to generate and interact with geological models using explicit surface representations. The essence of the work lies in the determination of the flexible control mesh, topologically similar to the main geological structure, watertight and controllable with few control points, to manage the geological structures. We exploited the subdivision surface method in our work, which is commonly used in the animation and gaming industry.
Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch
Geosci. Model Dev., 16, 3459–3478, https://doi.org/10.5194/gmd-16-3459-2023, https://doi.org/10.5194/gmd-16-3459-2023, 2023
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Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite variables with highly skewed uncertainty distributions such as tephra deposit mass loading, are applied to reconstruct the tephra fallout deposit resulting from the 2015 Calbuco eruption in Chile. The deposit spatial distribution and the ashfall volume according to the analyses are in good agreement with estimations based on field measurements and isopach maps reported in previous studies.
Hui Gao, Xinming Wu, Jinyu Zhang, Xiaoming Sun, and Zhengfa Bi
Geosci. Model Dev., 16, 2495–2513, https://doi.org/10.5194/gmd-16-2495-2023, https://doi.org/10.5194/gmd-16-2495-2023, 2023
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We propose a workflow to automatically generate synthetic seismic data and corresponding stratigraphic labels (e.g., clinoform facies, relative geologic time, and synchronous horizons) by geological and geophysical forward modeling. Trained with only synthetic datasets, our network works well to accurately and efficiently predict clinoform facies in 2D and 3D field seismic data. Such a workflow can be easily extended for other geological and geophysical scenarios in the future.
Ibsen Chivata Cardenas, Terje Aven, and Roger Flage
Geosci. Model Dev., 16, 1601–1615, https://doi.org/10.5194/gmd-16-1601-2023, https://doi.org/10.5194/gmd-16-1601-2023, 2023
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We discuss challenges in uncertainty quantification for geohazard assessments. The challenges arise from limited data and the one-off nature of geohazard features. The challenges include the credibility of predictions, input uncertainty, and assumptions’ impact. Considerations to increase credibility of the quantification are provided. Crucial tasks in the quantification are the exhaustive scrutiny of the background knowledge coupled with the assessment of deviations of assumptions made.
Zhengfa Bi, Xinming Wu, Zhaoliang Li, Dekuan Chang, and Xueshan Yong
Geosci. Model Dev., 15, 6841–6861, https://doi.org/10.5194/gmd-15-6841-2022, https://doi.org/10.5194/gmd-15-6841-2022, 2022
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We present an implicit modeling method based on deep learning to produce a geologically valid and structurally compatible model from unevenly sampled structural data. Trained with automatically generated synthetic data with realistic features, our network can efficiently model geological structures without the need to solve large systems of mathematical equations, opening new opportunities for further leveraging deep learning to improve modeling capacity in many Earth science applications.
D. Rhodri Davies, Stephan C. Kramer, Sia Ghelichkhan, and Angus Gibson
Geosci. Model Dev., 15, 5127–5166, https://doi.org/10.5194/gmd-15-5127-2022, https://doi.org/10.5194/gmd-15-5127-2022, 2022
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Firedrake is a state-of-the-art system that automatically generates highly optimised code for simulating finite-element (FE) problems in geophysical fluid dynamics. It creates a separation of concerns between employing the FE method and implementing it. Here, we demonstrate the applicability and benefits of Firedrake for simulating geodynamical flows, with a focus on the slow creeping motion of Earth's mantle over geological timescales, which is ultimately the engine driving our dynamic Earth.
Federico Brogi, Simone Colucci, Jacopo Matrone, Chiara Paola Montagna, Mattia De' Michieli Vitturi, and Paolo Papale
Geosci. Model Dev., 15, 3773–3796, https://doi.org/10.5194/gmd-15-3773-2022, https://doi.org/10.5194/gmd-15-3773-2022, 2022
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Computer simulations play a fundamental role in understanding volcanic phenomena. The growing complexity of these simulations requires the development of flexible computational tools that can easily switch between sub-models and solution techniques as well as optimizations. MagmaFOAM is a newly developed library that allows for maximum flexibility for solving multiphase volcanic flows and promotes collaborative work for in-house and community model development, testing, and comparison.
Grace A. Nield, Matt A. King, Rebekka Steffen, and Bas Blank
Geosci. Model Dev., 15, 2489–2503, https://doi.org/10.5194/gmd-15-2489-2022, https://doi.org/10.5194/gmd-15-2489-2022, 2022
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We present a finite-element model of post-seismic solid Earth deformation built in the software package Abaqus for the purpose of calculating post-seismic deformation in the far field of major earthquakes. The model is benchmarked against an existing open-source post-seismic model demonstrating good agreement. The advantage over existing models is the potential for simple modification to include 3-D Earth structure, non-linear rheologies and alternative or multiple sources of stress change.
Alessandro Lechmann, David Mair, Akitaka Ariga, Tomoko Ariga, Antonio Ereditato, Ryuichi Nishiyama, Ciro Pistillo, Paola Scampoli, Mykhailo Vladymyrov, and Fritz Schlunegger
Geosci. Model Dev., 15, 2441–2473, https://doi.org/10.5194/gmd-15-2441-2022, https://doi.org/10.5194/gmd-15-2441-2022, 2022
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Muon tomography is a technology that is used often in geoscientific research. The know-how of data analysis is, however, still possessed by physicists who developed this technology. This article aims at providing geoscientists with the necessary tools to perform their own analyses. We hope that a lower threshold to enter the field of muon tomography will allow more geoscientists to engage with muon tomography. SMAUG is set up in a modular way to allow for its own modules to work in between.
Zuzanna M. Swirad and Adam P. Young
Geosci. Model Dev., 15, 1499–1512, https://doi.org/10.5194/gmd-15-1499-2022, https://doi.org/10.5194/gmd-15-1499-2022, 2022
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Cliff base and top lines that delimit coastal cliff faces are usually manually digitized based on maps, aerial photographs, terrain models, etc. However, manual mapping is time consuming and depends on the mapper's decisions and skills. To increase the objectivity and efficiency of cliff mapping, we developed CliffDelineaTool, an algorithm that identifies cliff base and top positions along cross-shore transects using elevation and slope characteristics.
Holly Kyeore Han, Natalya Gomez, and Jeannette Xiu Wen Wan
Geosci. Model Dev., 15, 1355–1373, https://doi.org/10.5194/gmd-15-1355-2022, https://doi.org/10.5194/gmd-15-1355-2022, 2022
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Interactions between ice sheets, sea level and the solid Earth occur over a range of timescales from years to tens of thousands of years. This requires coupled ice-sheet–sea-level models to exchange information frequently, leading to a quadratic increase in computation time with the number of model timesteps. We present a new sea-level model algorithm that allows coupled models to improve the computational feasibility and precisely capture short-term interactions within longer simulations.
Jérémie Giraud, Vitaliy Ogarko, Roland Martin, Mark Jessell, and Mark Lindsay
Geosci. Model Dev., 14, 6681–6709, https://doi.org/10.5194/gmd-14-6681-2021, https://doi.org/10.5194/gmd-14-6681-2021, 2021
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We review different techniques to model the Earth's subsurface from geophysical data (gravity field anomaly, magnetic field anomaly) using geological models and measurements of the rocks' properties. We show examples of application using idealised examples reproducing realistic features and provide theoretical details of the open-source algorithm we use.
Eric A. de Kemp
Geosci. Model Dev., 14, 6661–6680, https://doi.org/10.5194/gmd-14-6661-2021, https://doi.org/10.5194/gmd-14-6661-2021, 2021
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This is a proof of concept and review paper of spatial agents, with initial research focusing on geomodelling. The results may be of interest to others working on complex regional geological modelling with sparse data. Structural agent-based swarming behaviour is key to advancing this field. The study provides groundwork for research in structural geology 3D modelling with spatial agents. This work was done with NetLogo, a free agent modelling platform used mostly for teaching complex systems.
José M. Bastías Espejo, Andy Wilkins, Gabriel C. Rau, and Philipp Blum
Geosci. Model Dev., 14, 6257–6272, https://doi.org/10.5194/gmd-14-6257-2021, https://doi.org/10.5194/gmd-14-6257-2021, 2021
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The hydraulic and mechanical properties of the subsurface are inherently heterogeneous. RHEA is a simulator that can perform couple hydro-geomechanical processes in heterogeneous porous media with steep gradients. RHEA is able to fully integrate spatial heterogeneity, allowing allocation of distributed hydraulic and geomechanical properties at mesh element level. RHEA is a valuable tool that can simulate problems considering realistic heterogeneity inherent to geologic formations.
Lachlan Grose, Laurent Ailleres, Gautier Laurent, Guillaume Caumon, Mark Jessell, and Robin Armit
Geosci. Model Dev., 14, 6197–6213, https://doi.org/10.5194/gmd-14-6197-2021, https://doi.org/10.5194/gmd-14-6197-2021, 2021
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Fault discontinuities in rock packages represent the plane where two blocks of rock have moved. They are challenging to incorporate into geological models because the geometry of the faulted rock units are defined by not only the location of the discontinuity but also the kinematics of the fault. In this paper, we outline a structural geology framework for incorporating faults into geological models by directly incorporating kinematics into the mathematical framework of the model.
Florence Colleoni, Laura De Santis, Enrico Pochini, Edy Forlin, Riccardo Geletti, Giuseppe Brancatelli, Magdala Tesauro, Martina Busetti, and Carla Braitenberg
Geosci. Model Dev., 14, 5285–5305, https://doi.org/10.5194/gmd-14-5285-2021, https://doi.org/10.5194/gmd-14-5285-2021, 2021
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PALEOSTRIP has been developed in the framework of past Antarctic ice sheet reconstructions for periods when bathymetry around Antarctica differed substantially from today. It has been designed for users with no knowledge of numerical modelling and allows users to switch on and off the processes involved in backtracking and backstripping. Applications are broad, and it can be used to restore any continental margin bathymetry or sediment thickness and to perform basin analysis.
Lachlan Grose, Laurent Ailleres, Gautier Laurent, and Mark Jessell
Geosci. Model Dev., 14, 3915–3937, https://doi.org/10.5194/gmd-14-3915-2021, https://doi.org/10.5194/gmd-14-3915-2021, 2021
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LoopStructural is an open-source 3D geological modelling library with a model design allowing for multiple different algorithms to be used for comparison for the same geology. Geological structures are modelled using structural geology concepts and techniques, allowing for complex structures such as overprinted folds and faults to be modelled. In the paper, we demonstrate automatically generating a 3-D model from map2loop-processed geological survey data of the Flinders Ranges, South Australia.
Zhenjiao Jiang, Dirk Mallants, Lei Gao, Tim Munday, Gregoire Mariethoz, and Luk Peeters
Geosci. Model Dev., 14, 3421–3435, https://doi.org/10.5194/gmd-14-3421-2021, https://doi.org/10.5194/gmd-14-3421-2021, 2021
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Fast and reliable tools are required to extract hidden information from big geophysical and remote sensing data. A deep-learning model in 3D image construction from 2D image(s) is here developed for paleovalley mapping from globally available digital elevation data. The outstanding performance for 3D subsurface imaging gives confidence that this generic novel tool will make better use of existing geophysical and remote sensing data for improved management of limited earth resources.
Stephan C. Kramer, D. Rhodri Davies, and Cian R. Wilson
Geosci. Model Dev., 14, 1899–1919, https://doi.org/10.5194/gmd-14-1899-2021, https://doi.org/10.5194/gmd-14-1899-2021, 2021
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Computational models of Earth's mantle require rigorous verification and validation. Analytical solutions of the underlying Stokes equations provide a method to verify that these equations are accurately solved for. However, their derivation in spherical and cylindrical shell domains with physically relevant boundary conditions is involved. This paper provides a number of solutions. They are provided in a Python package (Assess) and their use is demonstrated in a convergence study with Fluidity.
Bastian van den Bout, Theo van Asch, Wei Hu, Chenxiao X. Tang, Olga Mavrouli, Victor G. Jetten, and Cees J. van Westen
Geosci. Model Dev., 14, 1841–1864, https://doi.org/10.5194/gmd-14-1841-2021, https://doi.org/10.5194/gmd-14-1841-2021, 2021
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Landslides, debris flows and other types of dense gravity-driven flows threaten livelihoods around the globe. Understanding the mechanics of these flows can be crucial for predicting their behaviour and reducing disaster risk. Numerical models assume that the solids and fluids of the flow are unstructured. The newly presented model captures the internal structure during movement. This important step can lead to more accurate predictions of landslide movement.
Mattia de' Michieli Vitturi and Federica Pardini
Geosci. Model Dev., 14, 1345–1377, https://doi.org/10.5194/gmd-14-1345-2021, https://doi.org/10.5194/gmd-14-1345-2021, 2021
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Here, we present PLUME-MoM-TSM, a volcanic plume model that allows us to quantify the formation of aggregates during the rise of the plume, model the phase change of water, and include the possibility to simulate the initial spreading of the tephra umbrella cloud intruding from the volcanic column into the atmosphere. The model is first applied to the 2015 Calbuco eruption (Chile) and provides an analytical relationship between the upwind spreading and some characteristic of the volcanic column.
Zhikui Guo, Lars Rüpke, and Chunhui Tao
Geosci. Model Dev., 13, 6547–6565, https://doi.org/10.5194/gmd-13-6547-2020, https://doi.org/10.5194/gmd-13-6547-2020, 2020
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We present the 3-D hydro-thermo-transport model HydrothermalFoam v1.0, which we designed to provide the marine geosciences community with an easy-to-use and state-of-the-art tool for simulating mass and energy transport in submarine hydrothermal systems. HydrothermalFoam is based on the popular open-source platform OpenFOAM, comes with a number of tutorials, and is published under the GNU General Public License v3.0.
Marisol Monterrubio-Velasco, F. Ramón Zúñiga, Quetzalcoatl Rodríguez-Pérez, Otilio Rojas, Armando Aguilar-Meléndez, and Josep de la Puente
Geosci. Model Dev., 13, 6361–6381, https://doi.org/10.5194/gmd-13-6361-2020, https://doi.org/10.5194/gmd-13-6361-2020, 2020
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The Mexican subduction zone along the Pacific coast is one of the most active seismic zones in the world, where every year larger-magnitude earthquakes shake huge inland cities such as Mexico City. In this work, we use TREMOL (sThochastic Rupture Earthquake ModeL) to simulate the seismicity observed in this zone. Our numerical results reinforce the hypothesis that in some subduction regions single asperities are responsible for producing the observed seismicity.
Thomas Zwinger, Grace A. Nield, Juha Ruokolainen, and Matt A. King
Geosci. Model Dev., 13, 1155–1164, https://doi.org/10.5194/gmd-13-1155-2020, https://doi.org/10.5194/gmd-13-1155-2020, 2020
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We present a newly developed flat-earth model, Elmer/Earth, for viscoelastic treatment of solid earth deformation under ice loads. Unlike many previous approaches with proprietary software, this model is based on the open-source FEM code Elmer, with the advantage for scientists to apply and alter the model without license constraints. The new-generation full-stress ice-sheet model Elmer/Ice shares the same code base, enabling future coupled ice-sheet–glacial-isostatic-adjustment simulations.
Swarup Chauhan, Kathleen Sell, Wolfram Rühaak, Thorsten Wille, and Ingo Sass
Geosci. Model Dev., 13, 315–334, https://doi.org/10.5194/gmd-13-315-2020, https://doi.org/10.5194/gmd-13-315-2020, 2020
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We present CobWeb 1.0, a graphical user interface for analysing tomographic images of geomaterials. CobWeb offers different machine learning techniques for accurate multiphase image segmentation and visualizing material specific parameters such as pore size distribution, relative porosity and volume fraction. We demonstrate a novel approach of dual filtration and dual segmentation to eliminate edge enhancement artefact in synchrotron-tomographic datasets and provide the computational code.
Loïc Huder, Nicolas Gillet, and Franck Thollard
Geosci. Model Dev., 12, 3795–3803, https://doi.org/10.5194/gmd-12-3795-2019, https://doi.org/10.5194/gmd-12-3795-2019, 2019
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The pygeodyn package is a geomagnetic data assimilation tool written in Python. It gives access to the Earth's core flow dynamics, controlled by geomagnetic observations, by means of a reduced numerical model anchored to geodynamo simulation statistics. It aims to provide the community with a user-friendly and tunable data assimilation algorithm. It can be used for education, geomagnetic model production or tests in conjunction with webgeodyn, a set of visualization tools for geomagnetic models.
Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, Giacomo Lari, and Alvaro Aravena
Geosci. Model Dev., 12, 581–595, https://doi.org/10.5194/gmd-12-581-2019, https://doi.org/10.5194/gmd-12-581-2019, 2019
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Pyroclastic avalanches are a type of granular flow generated at active volcanoes by different mechanisms, including the collapse of steep pyroclastic deposits (e.g., scoria and ash cones) and fountaining during moderately explosive eruptions. We present IMEX_SfloW2D, a depth-averaged flow model describing the granular mixture as a single-phase granular fluid. Benchmark cases and preliminary application to the simulation of the 11 February pyroclastic avalanche at Mt. Etna (Italy) are shown.
Yihao Wu, Zhicai Luo, Bo Zhong, and Chuang Xu
Geosci. Model Dev., 11, 4797–4815, https://doi.org/10.5194/gmd-11-4797-2018, https://doi.org/10.5194/gmd-11-4797-2018, 2018
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A multilayer approach is parameterized for model development, and the multiple layers are located at different depths beneath the Earth’s surface. This method may be beneficial for gravity/manget field modeling, which may outperform the traditional single-layer approach.
Andres Payo, Bismarck Jigena Antelo, Martin Hurst, Monica Palaseanu-Lovejoy, Chris Williams, Gareth Jenkins, Kathryn Lee, David Favis-Mortlock, Andrew Barkwith, and Michael A. Ellis
Geosci. Model Dev., 11, 4317–4337, https://doi.org/10.5194/gmd-11-4317-2018, https://doi.org/10.5194/gmd-11-4317-2018, 2018
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We describe a new algorithm that automatically delineates the cliff top and toe of a cliffed coastline from a digital elevation model (DEM). The algorithm builds upon existing methods but is specifically designed to resolve very irregular planform coastlines with many bays and capes, such as parts of the coastline of Great Britain.
Cited articles
Agard, P., Plunder, A., Angiboust, S., Bonnet, G., and Ruh, J.: The subduction plate interface: rock record and mechanical coupling (from long to short timescales), Lithos, 320–321, 537–566, https://doi.org/10.1016/j.lithos.2018.09.029, 2018. a
Aghamiry, H., Gholami, A., and Operto, S.: Improving full-waveform inversion by wavefield reconstruction with alternating direction method of multipliers,
Geophysics, 84, R139–R162, 2019a. a
Aghamiry, H., Gholami, A., and Operto, S.: On the robustness of ℓ1-regularized ADMM-based wavefield reconstruction inversion against compressed acquisition sampling, SEG Technical Program Expanded Abstracts, 1385–1389, 2019b. a
Agudelo, W., Ribodetti, A., Collot, J.-Y., and Operto, S.: Joint inversion of multichannel seismic reflection and wide-angle seismic data: Improved imaging and refined velocity model of the crustal structure of the north Ecuador–south Colombia convergent margin, J. Geophys. Res., 114, B02306, https://doi.org/10.1029/2008JB005690, 2009. a
Aminzadeh, F., Brac, J., and Kunz, T.: SEG/EAGE 3-D Salt and Overthrust Models. SEG/EAGE 3-D Modeling Series, No. 1: Distribution CD of Salt and Overthrust models, SEG book series, 1997. a
Angiboust, S., Glodny, J., Oncken, O., and Chopin, C.: In search of transient subduction interfaces in the Dent Blanche-Sesia Tectonic System (W. Alps), Lithos, 205, 298–321, https://doi.org/10.1016/j.lithos.2014.07.001, 2014. a
Angiboust, S., Agard, P., Glodny, J., Omrani, J., and Oncken, O.: Zagros
blueschists: Episodic underplating and long-lived cooling of a subduction
zone, Earth Planet. Sci. Lett., 443, 48–58,
https://doi.org/10.1016/j.epsl.2016.03.017, 2016. a
Arai, R., Kodaira, S., Henrys, S. A., Bangs, N. L., Obana, K., Fujie, G.,
Miura, S., Barker, D. H. N., Bassett, D., Bell, R. E., Morgan, J. V., Warner, M., Mochizuki, K., Kellett, R. L., Stucker, V., and Fry, B.:
Three-dimensional anisotropic P-wave velocity structure around the shallow
plate boundary in the Northern Hikurangi margin, New Zealand, AGU Fall
Meeting 2019, San Francisco, USA, 9–13 December 2019, T51F–0357, 2019. a
Azuma, S., Yamamoto, S., Ichikawa, H., and Maruyama, S.: Why primordial
continents were recycled to the deep: Role of subduction erosion, Geosci. Front., 8, 337–346, https://doi.org/10.1016/j.gsf.2016.08.001, 2017. a
Bangs, N., Moore, G., Gulick, S., Pangborn, E., Tobin, H., Kuramoto, S., and
Taira, A.: Broad, weak regions of the Nankai Megathrust and implications for
shallow coseismic slip, Earth Planet. Sci. Lett., 284, 44–49,
https://doi.org/10.1016/j.epsl.2009.04.026, 2009. a
Bauer, A., Schwarz, B., and Gajewski, D.: Utilizing diffractions in wavefront
tomography, Geophysics, 82, R65–R73, 2017. a
Billette, F., Podvin, P., and Lambaré, G.: Stereotomography with automatic
picking: application to the Marmousi dataset, SEG Technical Program Expanded Abstracts 1998, II, 1317–1320, https://doi.org/10.1190/1.1820143, 1998. a
Billette, F. J. and Brandsberg-Dahl, S.: The 2004 BP Velocity Benchmark, in: Extended Abstracts, 67th Annual EAGE Conference & Exhibition, Madrid, Spain, 13–16 June 2005, B035, 2004. a
Bishop, T. N., Bube, K. P., Cutler, R. T., Langan, R. T., Love, P. L., Resnick, J. R., Shuey, R. T., and Spinder, D. A.: Tomographic determination of velocity and depth in laterally varying media, Geophysics, 50, 903–923, 1985. a
Blanch, J., Jarvis, J., Hurren, C., Liu, Y., and Hu, L.: Designing an exploration scale OBN: Acquisition design for subsalt imaging and velocity determination, SEG Technical Program Expanded Abstracts: 192–196, 2019. a
Boston, B., Moore, G. F., Nakamura, Y., and Kodaira, S.: Outer-rise normal
fault development and influence on near-trench décollement propagation along the Japan Trench, off Tohoku, Earth Planet. Space, 66, 135, https://doi.org/10.1186/1880-5981-66-135, 2014. a
Brenders, A. J. and Pratt, R. G.: Full waveform tomography for lithospheric
imaging: results from a blind test in a realistic crustal model, Geophys.
J. Int., 168, 133–151, 2007b. a
Brossier, R., Operto, S., and Virieux, J.: Velocity model building from seismic reflection data by full waveform inversion, Geophys. Prospect., 63,
354–367, https://doi.org/10.1111/1365-2478.12190, 2015. a
Cawood, P. A., Kröner, A., Collins, W. J., Kusky, T. M., Mooney, W. D., and Windley, B. F.: Accretionary orogens through Earth history, Geol.
Soc. Spec. Pub., 318, 1–36, https://doi.org/10.1144/sp318.1, 2009. a
Christensen, N. I. and Mooney, W. D.: Seismic velocity structure and
composition of the continental crust: a global view, J. Geophys.
Res., 100, 9761–9788, 1995. a
Claerbout, J. F.: Imaging the Earth's interior, Blackwell Scientific Publication, Oxford, 414 pp., 1985. a
Collot, J.-Y., Agudelo, W., Ribodetti, A., and Marcaillou, B.: Origin of a
crustal splay fault and its relation to the seismogenic zone and underplating at the erosional north Ecuador–south Colombia oceanic margin, J. Geophys. Res., 113, B12102, https://doi.org/10.1029/2008jb005691, 2008. a, b
Collot, J.-Y., Ribodetti, A., Agudelo, W., and Sage, F.: The South Ecuador
subduction channel: Evidence for a dynamic mega-shear zone from 2D fine-scale
seismic reflection imaging and implications for material transfer, J. Geophys. Res., 116, B11102, https://doi.org/10.1029/2011jb008429,
2011. a
Contreras-Reyes, E., Flueh, E. R., and Grevemeyer, I.: Tectonic control on
sediment accretion and subduction off south central Chile: Implications for
coseismic rupture processes of the 1960 and 2010 megathrust earthquakes,
Tectonics, 29, TC6018, https://doi.org/10.1029/2010tc002734, 2010. a
Dessa, J.-X., Operto, S., Kodaira, S., Nakanishi, A., Pascal, G., Uhira, K., and Kaneda, Y.: Deep seismic imaging of the eastern Nankai trough (Japan) from multifold ocean bottom seismometer data by combined traveltime tomography and prestack depth migration, J. Geophys. Res., 109, B02111, https://doi.org/10.1029/2003JB002689, 2004. a, b
Ducea, M. N. and Chapman, A. D.: Sub-magmatic arc underplating by trench and
forearc materials in shallow subduction systems; A geologic perspective and
implications, Earth-Sci. Rev., 185, 763–779,
https://doi.org/10.1016/j.earscirev.2018.08.001, 2018. a
Farra, V. and Madariaga, R.: Non-linear reflection tomography, Geophys.
J., 95, 135–147, 1988. a
Goff, J. A. and Holliger, K.: Heterogeneity in the Crust and Upper
Mantle, Springer US, Springer, Boston, MA, https://doi.org/10.1007/978-1-4615-0103-9, 2003. a
Goncharov, A., Cooper, A., Chia, P., and O'Neil, P.: A new
dawn for Australian ocean-bottom seismography, Leading Edge, 35, 99–104, https://doi.org/10.1190/tle35010099.1, 2016. a
Górszczyk, A. and Operto, S.: GO_3D_OBS – The multi-parameter benchmark geomodel for seismic imaging methods assessment and next generation 3D surveys design (version 1.0), IG PAS Data Portal, https://doi.org/10.25171/InstGeoph_PAS_IGData-NCN36-2020-001, 2020.
Górszczyk, A., Operto, S., Schenini, L., and Yamada, Y.: Crustal-scale depth imaging via joint full-waveform inversion of ocean-bottom seismometer data and pre-stack depth migration of multichannel seismic data: a case study from the eastern Nankai Trough, Solid Earth, 10, 765–784, https://doi.org/10.5194/se-10-765-2019, 2019. a, b, c, d
Gras, C., Dagnino, D., Jiménez-Tejero, C. E., Meléndez, A., Sallarès, V., and Ranero, C. R.: Full-waveform inversion of short-offset, band-limited seismic data in the Alboran Basin (SE Iberia), Solid Earth, 10, 1833–1855, https://doi.org/10.5194/se-10-1833-2019, 2019. a
Gutscher, M.-A., Kukowski, N., Malavieille, J., and Lallemand, S.: Cyclical
behavior of thrust wedges: Insights from high basal friction sandbox
experiments, Geology, 24, 135–138,
https://doi.org/10.1130/0091-7613(1996)024<0135:cbotwi>2.3.co;2, 1996. a
Gutscher, M.-A., Kukowski, N., Malavieille, J., and Lallemand, S.: Material
transfer in accretionary wedges from analysis of a systematic series of
analog experiments, J. Struct. Geol., 20, 407–416,
https://doi.org/10.1016/s0191-8141(97)00096-5, 1998. a
Hashimoto, Y. and Kimura, G.: Underplating process from melange formation to
duplexing: Example from the Cretaceous Shimanto Belt, Kii Peninsula,
southwest Japan, Tectonics, 18, 92–107, https://doi.org/10.1029/1998tc900014, 1999. a
Heath, B. A., Hooft, E. E. E., Toomey, D. R., Papazachos, C. B., Nomikou, P.,
Paulatto, M., Morgan, J. V., and Warner, M. R.: Tectonism and Its Relation to
Magmatism Around Santorini Volcano From Upper Crustal P Wave Velocity,
J. Geophys. Res.-Sol. Ea., 124, 10610–10629,
https://doi.org/10.1029/2019jb017699, 2019. a
Herrmann, F. J.: Randomized sampling and sparsity: Getting more information
from fewer samples, Geophysics, 75, WB173–WB187, 2010. a
Hole, J. A., Zelt, C. A., and Pratt, R. G.: Advances in controlled-source
seismic imaging, Eos T. Am. Geophys. Un., 86, 177–184, 2005. a
Holliger, K., Levander, A. R., and Goff, J. A.: Stochastic modeling of the
reflective lower crust: petrophysical and geological evidence from the
Ivrea zone (Northern Italy), J. Geophys. Res., 98, 11967–11980, 1993. a
Huang, L. and Liu, C.-y.: Three Types of Flower Structures in a
Divergent-Wrench Fault Zone, J. Geophys. Res.-Sol. Ea.,
122, 10478–10497, https://doi.org/10.1002/2017JB014675, 2017. a
IG PAS Data Portal, https://dataportal.igf.edu.pl/dataset/go_3d_obs, last access: 24 March 2021. a
Jannane, M., Beydoun, W., Crase, E., Cao, D., Koren, Z., Landa, E., Mendes, M., Pica, A., Noble, M., Roeth, G., Singh, S., Snieder, R., Tarantola, A., and Trezeguet, D.: Wavelengths of Earth structures that can be resolved from seismic reflection data, Geophysics, 54, 906–910, 1989. a
Kameda, J., Inoue, S., Tanikawa, W., Yamaguchi, A., Hamada, Y., Hashimoto, Y., and Kimura, G.: Alteration and dehydration of subducting oceanic crust within subduction zones: implications for décollement step-down and plate-boundary seismogenesis, Earth Planet. Space, 69, 52, https://doi.org/10.1186/s40623-017-0635-1, 2017. a
Kamei, R., Pratt, R. G., and Tsuji, T.: On acoustic waveform tomography of
wide-angle OBS data – Strategies for preconditioning and inversion,
Geophys. J. Int., 192, 1250–1280, 2013. a
Kington, J. D. and Tobin, H. J.: Balanced Cross Sections, Shortening Estimates, and the Magnitude of Out-of-Sequence Thrusting in the Nankai Trough Accretionary Prism, Japan, AGU Fall Meeting 2011, San Francisco, USA, 5–9 December 2011, T21B–2364, 2011. a
Kodaira, S.: Subducted Seamount Imaged in the Rupture Zone of the 1946 Nankaido Earthquake, Science, 289, 104–106, https://doi.org/10.1126/science.289.5476.104, 2000. a
Kodaira, S., Nakanishi, A., Park, J. O., Ito, A., Tsuru, T., and Kaneda, Y.:
Cyclic ridge subduction at an inter-plate locked zone off Central Japan, Geophys. Res. Lett., 30, 1339, https://doi.org/10.1029/2002GL016595, 2003. a
Korenaga, J. and Sager, W. W.: Seismic tomography of Shatsky Rise by adaptive importance sampling, J. Geophys. Res., 117, B08102, https://doi.org/10.1029/2012jb009248, 2012. a
Korenaga, J., Holbrook, W. S., Kent, G. M., Kelemen, P. B., Detrick, R. S., Larsen, H. C., Hopper, J. R., and Dahl-Jensen, T.: Crustal structure of the southeast Greenland margin from joint refraction and reflection seismic tomography, J. Geophys. Res., 105, 21591–21614, 2000. a
Lallemand, S., Mallavieille, J., and Calassou, S.: Effects of ridge oceanic
subduction on accretionary wedges: Experimental modeling and marine
observations, Tectonics, 11, 1301–1313, 1992. a
Lallemant, S., Chamot-Rooke, N., Le Pichon, X., and Rangin, C.: Zenisu ridge: a deep intraoceanic thrust related to subduction, off Southwest Japan, Tectonophysics, 160, 151–174, 1989. a
Lambaré, G.: Stereotomography, Geophysics, 73, VE25–VE34, 2008. a
Le Pichon, X., Lallemant, S., Tokuyama, H., Thoué, F., Huchon, P., and
Henry, P.: Structure and evolution of the backstop in the eastern Nankai
trough area (Japan): immplicationsn for the soon-to-come Tokai earthquake,
Island Arc, 5, 440–454, 1996. a
Li, Q., Slopey, W., Rollins, F., Billette, F., Udengaard, C., and Thompson, B.: Leading a new deep water OBN acquisition era: Two 2017-2018 GoM OBN surveys, SEG Technical Program Expanded Abstracts 2019, 187–191, https://doi.org/10.1190/segam2019-3216437.1, 2019. a, b
Li, Y.-G. and Malin, P. E.: San Andreas Fault damage at SAFOD viewed with fault-guided waves, Geophys. Res. Lett., 35, L08304, https://doi.org/10.1029/2007gl032924, 2008. a
Lin, L.-F., Hsu, H.-H., Liu, C.-S., Chao, K.-H., Ko, C.-C., Chiu, S.-D., Hsieh, H.-S., Ma, Y.-F., and Chen, S.-C.: Marine 3D seismic volumes from 2D seismic survey with large streamer feathering, Mar. Geophys. Res., 40,
619–633, https://doi.org/10.1007/s11001-019-09391-9, 2019. a
Luo, Y. and Schuster, G. T.: Wave-equation traveltime inversion, Geophysics,
56, 645–653, 1991. a
Marjanović, M., Plessix, R.-É., Stopin, A., and Singh, S. C.: Elastic versus acoustic 3-D Full Waveform Inversion at the East Pacific Rise 9∘50′ N, Geophys. J. Int., 216, 1497–1506, https://doi.org/10.1093/gji/ggy503, 2018. a
Mei, J., Zhang, Z., Lin, F., Huang, R., Wang, P., and Mifflin, C.: Sparse nodes for velocity: Learnings from Atlantis OBN full-waveform inversion test, SEG Technical Program Expanded Abstracts 2019, 167–171, https://doi.org/10.1190/segam2019-3215208.1, 2019. a
Meléndez, A., Korenaga, J., Sallarès, V., Miniussi, A., and Ranero, C.: TOMO3D: 3-D joint refraction and reflection traveltime tomography
parallel code for active-source seismic data-synthetic test,
Geophys. J. Int., 203, 158–174, https://doi.org/10.1093/gji/ggv292,
2015. a
Menant, A., Angiboust, S., Monié, P., Oncken, O., and Guigner, J.-M.:
Brittle deformation during Alpine basal accretion and the origin of
seismicity nests above the subduction interface, Earth Planet. Sci. Lett., 487, 84–93, https://doi.org/10.1016/j.epsl.2018.01.029, 2018. a
Mercerat, E. D. and Nolet, G.: On the linearity of cross-correlation delay
times in finite-frequency tomography, Geophys. J. Int., 192, 681–687, 2013. a
Métivier, L., Allain, A., Brossier, R., Mérigot, Q., Oudet, E., and Virieux, J.: Optimal transport for mitigating cycle skipping in full waveform inversion: a graph space transform approach, Geophysics, 83, R515–R540, https://doi.org/10.1190/geo2017-0807.1, 2018. a
Miller, D., Oristaglio, M., and Beylkin, G.: A new slant on seismic imaging:
Migration and integral geometry, Geophysics, 52, 943–964, 1987. a
Mooney, W. D., Laske, G., and Masters, G.: CRUST 5.1: a global crustal model at 5∘ × 5∘, J. Geophys. Res., 103, 727–747, 1998. a
Mora, P. R.: Elastic wavefield inversion of reflection and transmission data, Geophysics, 53, 750–759, 1988. a
Morgan, J., Warner, M., Bell, R., Ashley, J., Barnes, D., Little, R., Roele,
K., and Jones, C.: Next-generation seismic experiments: wide-angle,
multi-azimuth, three-dimensional, full-waveform inversion, Geophys.
J. Int., 195, 1657–1678, 2013. a
Morgan, J., Warner, M., Arnoux, G., Hooft, E., Toomey, D., VanderBeek, B., and
Wilcock, W.: Next-generation seismic experiments – II:
wide-angle, multi-azimuth, 3-D, full-waveform inversion of sparse field
data, Geophys. J. Int., 204, 1342–1363, 2016. a
Neves, F. A. and Singh, S. C.: Sensitivity study of seismic
reflection/refraction data, Geophys. J. Int., 126, 470–476, 1996. a
Ni, D., Brenders, A., Dellinger, J., van Gestel, J.-P., and Li, Q.: Seismic modeling for a velocity survey at Atlantis, SEG Technical Program Expanded Abstracts 2019, 182–186, https://doi.org/10.1190/segam2019-3215801.1, 2019. a
Operto, S., Virieux, J., Dessa, J. X., and Pascal, G.: Crustal imaging from multifold ocean bottom seismometers data by frequency-domain full-waveform tomography: application to the eastern Nankai trough, J. Geophys. Res., 111, B09306, https://doi.org/10.1029/2005JB003835, 2006. a, b
Operto, S., Miniussi, A., Brossier, R., Combe, L., Métivier, L., Monteiller, V., Ribodetti, A., and Virieux, J.: Efficient 3-D frequency-domain mono-parameter full-waveform inversion of ocean-bottom cable data: application to Valhall in the visco-acoustic vertical transverse isotropic approximation, Geophys. J. Int., 202, 1362–1391, 2015. a
Pangman, P.: SEAM launched in March, Leading Edge, 26, 718–720, https://doi.org/10.1190/tle26060718.1, 2007. a
Park, J. O., Moore, G. F., Tsuru, T., Kodaira, S., and Kaneda, Y.: A subducted oceanic ridge influencing the Nankai megathrust earthquake rupture, Earth Planet. Sci. Lett., 217, 77–84, 2004. a
Park, J. O., Fujie, G., Wijerathne, L., Hori, T., Kodaira, S., Fukao, Y.,
Moore, G. F., Bangs, N. L., Kuramoto, S., and Taira, A.: A low-velocity zone with weak reflectivity along the Nankai subduction zone, Geology, 38, 283–286, 2010. a
Pozgay, S. H., Wiens, D. A., Conder, J. A., Shiobara, H., and Sugioka, H.:
Seismic attenuation tomography of the Mariana subduction system: Implications for thermal structure, volatile distribution, and slow spreading dynamics, Geochem. Geophy. Geosy., 10, Q04X05, https://doi.org/10.1029/2008gc002313, 2009. a
Pratt, R. G.: Waveform tomography – successes, cautionary tales, and future directions, in: Presented at the 70th Annual EAGE Conference and Exhibition, Roma, 9–12 June 2008, WO11, 2008. a
Pratt, R. G., Song, Z. M., Williamson, P. R., and Warner, M.: Two-dimensional
velocity models from wide-angle seismic data by wavefield inversion,
Geophys. J. Int., 124, 323–340, 1996. a
Qin, Y. and Singh, S. C.: Detailed seismic velocity of the incoming subducting sediments in the 2004 great Sumatra earthquake rupture zone from full waveform inversion of long offset seismic data, Geophys. Res. Lett.,
44, 3090–3099, https://doi.org/10.1002/2016gl072175, 2017. a
Raimbourg, H., Augier, R., Famin, V., Gadenne, L., Palazzin, G., Yamaguchi, A., and Kimura, G.: Long-term evolution of an accretionary prism: The case study of the Shimanto Belt, Kyushu, Japan, Tectonics, 33, 936–959,
https://doi.org/10.1002/2013tc003412, 2014. a
Ranero, C. R., Villaseñor, A., Morgan, J. P., and Weinrebe, W.: Relationship between bend-faulting at trenches and intermediate-depth seismicity, Geochem. Geophy. Geosy., 6, Q12002, https://doi.org/10.1029/2005gc000997, 2005. a
Ribodetti, A., Operto, S., Agudelo, W., Collot, J.-Y., and Virieux, J.: Joint ray + Born least-squares migration and simulated annealing optimization for high-resolution target-oriented quantitative seismic imaging, Geophysics, 76, R23–R42, 2011. a
Ross, M. R., Sprague, M. A., Felippa, C. A., and Park, K. C.: Treatment of
acoustic fluid-structure interaction by localized Lagrange multipliers and
comparison to alternative interface-coupling methods, Comput. Method. Appl. M., 198, 986–1005, 2009. a
Sambolian, S., Operto, S., Ribodetti, A., Tavakoli, B., and Virieux, J.: Parsimonious slope tomography based on eikonal solvers and the adjoint-state method, Geophys. J. Int., 218, 456–478, https://doi.org/10.1093/gji/ggz150, 2019. a
Shipp, R. M. and Singh, S. C.: Two-dimensional full wavefield inversion of
wide-aperture marine seismic streamer data, Geophys. J. Int., 151, 325–344, 2002. a
Shiraishi, K., Moore, G. F., Yamada, Y., Kinoshita, M., Sanada, Y., and Kimura, G.: Seismogenic zone structures revealed by improved 3D seismic images in the Nankai Trough off Kumano, Geochem. Geophy. Geosy., 20, 2252–2271, https://doi.org/10.1029/2018gc008173, 2019. a
Sirgue, L. and Pratt, R. G.: Efficient waveform inversion and imaging: a
strategy for selecting temporal frequencies, Geophysics, 69, 231–248, 2004. a
Tarantola, A.: Inversion of seismic reflection data in the acoustic
approximation, Geophysics, 49, 1259–1266, 1984. a
Tavakoli F., B., Operto, S., Ribodetti, A., and Virieux, J.: Slope tomography based on eikonal solvers and the adjoint-state method, Geophys. J. Int., 209, 1629–1647, 2017. a
Tavakoli F., B., Operto, S., Ribodetti, A., and Virieux, J.: Matrix-free anisotropic slope tomography: theory and application, Geophysics, 84,
R35–R57, 2019. a
Tong, P., Zhao, D., Yang, D., Yang, X., Chen, J., and Liu, Q.: Wave-equation-based travel-time seismic tomography – Part 1: Method, Solid Earth, 5, 1151–1168, https://doi.org/10.5194/se-5-1151-2014, 2014. a
Tsuji, T., Kodaira, S., Ashi, J., and Park, J.-O.: Widely distributed thrust
and strike-slip faults within subducting oceanic crust in the Nankai Trough
off the Kii Peninsula, Japan, Tectonophysics, 600, 52–62, 2013. a
Tsuji, T., Ashi, J., and Ikeda, Y.: Strike-slip motion of a mega-splay fault
system in the Nankai oblique subduction zone, Earth Planet. Space, 66,
120, https://doi.org/10.1186/1880-5981-66-120, 2014. a
Tsuji, T., Minato, S., Kamei, R., Tsuru, T., and Kimura, G.: 3D geometry of a
plate boundary fault related to the 2016 Off-Mie earthquake in the Nankai
subduction zone, Japan, Earth Planet. Sci. Lett., 478, 234–244,
https://doi.org/10.1016/j.epsl.2017.08.041, 2017. a
van Leeuwen, T. and Herrmann, F. J.: Mitigating local minima in full-waveform inversion by expanding the search space, Geophys. J. Int.,
195, 661–667, https://doi.org/10.1093/gji/ggt258, 2013. a
Vannucchi, P., Sage, F., Morgan, J. P., Remitti, F., and Collot, J.-Y.: Toward a dynamic concept of the subduction channel at erosive convergent margins with implications for interplate material transfer, Geochem. Geophy. Geosy., 13, Q02003, https://doi.org/10.1029/2011gc003846, 2012. a
Versteeg, R.: The Marmousi experience: Velocity model determination on a
synthetic complex data set, Leading Edge, 13, 927–936,
https://doi.org/10.1190/1.1437051, 1994. a
Virieux, J. and Operto, S.: An overview of full waveform inversion in
exploration geophysics, Geophysics, 74, WCC1–WCC26, 2009. a
von Huene, R., Ranero, C. R., and Vannucchi, P.: Generic model of subduction erosion, Geology, 32, 913–916, https://doi.org/10.1130/g20563.1, 2004. a
Warner, M. and Guasch, L.: Adaptive waveform inversion: Theory, Geophysics, 81, R429–R445, 2016. a
Wellmann, F. and Caumon, G.: 3-D Structural geological models: Concepts, methods, and uncertainties, Adv. Geophys., 59, 1–121, https://doi.org/10.1016/bs.agph.2018.09.001, 2018. a
Wiggens, R. A., Frazier, G. A., Sweet, J., and Apsel, R.: Modeling strong
motions from major earthquakes, in: Proc. of the Second International
Conference on Microzonation for Safer Construction: Research and
Application, San Francisco, California, USA, 26 November–1 December 1978, 693–700, 1978. a, b
Wu, R. S. and Toksöz, M. N.: Diffraction tomography and multisource
holography applied to seismic imaging, Geophysics, 52, 11–25, 1987. a
Wu, Z. and Alkhalifah, T.: Simultaneous inversion of the background velocity
and the perturbation in full-waveform inversion, Geophysics, 80, R317–R329, 2015. a
Xu, S., Wang, D., Chen, F., Lambaré, G., and Zhang, Y.: Inversion on Reflected Seismic Wave, SEG Technical Program Expanded Abstracts 2012, 1–7, https://doi.org/10.1190/segam2012-1473.1, 2012. a
Yang, P., Brossier, R., Métivier, L., and Virieux, J.: A review on the systematic formulation of 3D multiparameter full waveform inversion in viscoelastic medium, Geophys. J. Int., 207, 129–149, https://doi.org/10.1093/gji/ggw262, 2016. a
Zelt, C. and Barton, P. J.: Three-dimensional seismic refraction tomography: a comparison of two methods applied to data from the Faeroe Basin, J. Geophys. Res., 103, 7187–7210, 1998. a
Zelt, C. A. and Chen, J.: Frequency-dependent traveltime tomography for
near-surface seismic refraction data, Geophys. J. Int., 207, 72–88, 2016. a
Zhang, Z. and Stewart, R. R.: Seismic attenuation and well log analysis in a
heavy oilfield, SEG Technical Program Expanded Abstracts 2008, 1784–1788, https://doi.org/10.1190/1.3059251, 2008. a, b
Zhou, W., Brossier, R., Operto, S., and Virieux, J.: Full Waveform Inversion of Diving & Reflected Waves for Velocity Model Building with Impedance
Inversion Based on Scale Separation, Geophys. J. Int., 202,
1535–1554, 2015. a
Short summary
We present the 3D multi-parameter synthetic geomodel of the subduction zone, as well as the workflow designed to implement all of its components. The model contains different geological structures of various scales and complexities. It is intended to serve as a tool for the geophysical community to validate imaging approaches, design acquisition techniques, estimate uncertainties, benchmark computing approaches, etc.
We present the 3D multi-parameter synthetic geomodel of the subduction zone, as well as the...
