Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1345-2021
© 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-14-1345-2021
© 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
| 
11 Mar 2021
Model description paper |
| 11 Mar 2021
| 11 Mar 2021
PLUME-MoM-TSM 1.0.0: a volcanic column and umbrella cloud spreading model
Mattia de' Michieli Vitturi
CORRESPONDING AUTHOR
Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy
Department of Geology, University at Buffalo, 126 Cooke Hall, Buffalo, NY 14260, USA
Federica Pardini
Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Pisa, Italy
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Sara Lenzi, Matteo Cerminara, Mattia de' Michieli Vitturi, Tomaso Esposti Ongaro, and Antonello Provenzale
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-28, https://doi.org/10.5194/gmd-2020-28, 2020
Revised manuscript not accepted
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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.
Andrzej Górszczyk and Stéphane Operto
Geosci. Model Dev., 14, 1773–1799, https://doi.org/10.5194/gmd-14-1773-2021, https://doi.org/10.5194/gmd-14-1773-2021, 2021
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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.
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.
Hugo Cruz-Jiménez, Guotu Li, Paul Martin Mai, Ibrahim Hoteit, and Omar M. Knio
Geosci. Model Dev., 11, 3071–3088, https://doi.org/10.5194/gmd-11-3071-2018, https://doi.org/10.5194/gmd-11-3071-2018, 2018
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One of the most important challenges seismologists and earthquake engineers face is reliably estimating ground motion in an area prone to large damaging earthquakes. This study aimed at better understanding the relationship between characteristics of geological faults (e.g., hypocenter location, rupture size/location, etc.) and resulting ground motion, via statistical analysis of a rupture simulation model. This study provides important insight on ground-motion responses to geological faults.
Fabio Crameri
Geosci. Model Dev., 11, 2541–2562, https://doi.org/10.5194/gmd-11-2541-2018, https://doi.org/10.5194/gmd-11-2541-2018, 2018
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Firstly, this study acts as a compilation of key geodynamic diagnostics and describes how to automatise them for a more efficient scientific procedure. Secondly, it outlines today's key pitfalls of scientific visualisation and provides means to circumvent them with, for example, a novel set of fully scientific colour maps. Thirdly, it introduces StagLab 3.0, a software that applies such fully automated diagnostics and state-of-the-art visualisation in the blink of an eye.
Michael Bock, Olaf Conrad, Andreas Günther, Ernst Gehrt, Rainer Baritz, and Jürgen Böhner
Geosci. Model Dev., 11, 1641–1652, https://doi.org/10.5194/gmd-11-1641-2018, https://doi.org/10.5194/gmd-11-1641-2018, 2018
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We introduce the Soil and
Landscape Evolution Model (SaLEM) for the prediction of soil parent material evolution following a lithologically differentiated approach. The GIS tool is working within the software framework SAGA GIS. Weathering, erosion and transport functions are calibrated using extrinsic and intrinsic parameter data. First results indicate that our approach shows evidence for the spatiotemporal prediction of soil parental material properties.
Karthik Iyer, Henrik Svensen, and Daniel W. Schmid
Geosci. Model Dev., 11, 43–60, https://doi.org/10.5194/gmd-11-43-2018, https://doi.org/10.5194/gmd-11-43-2018, 2018
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Igneous intrusions in sedimentary basins have a profound effect on the thermal structure of the hosting sedimentary rocks. In this paper, we present a user-friendly 1-D FEM-based tool, SILLi, that calculates the thermal effects of sill intrusions on the enclosing sedimentary stratigraphy. The motivation is to make a standardized numerical toolkit openly available that can be widely used by scientists with different backgrounds to test the effects of magmatic bodies in a wide variety of settings.
Charles M. Shobe, Gregory E. Tucker, and Katherine R. Barnhart
Geosci. Model Dev., 10, 4577–4604, https://doi.org/10.5194/gmd-10-4577-2017, https://doi.org/10.5194/gmd-10-4577-2017, 2017
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Rivers control the movement of sediment and nutrients across Earth's surface. Understanding how rivers change through time is important for mitigating natural hazards and predicting Earth's response to climate change. We develop a new computer model for predicting how rivers cut through sediment and rock. Our model is designed to be joined with models of flooding, landslides, vegetation change, and other factors to provide a comprehensive toolbox for predicting changes to the landscape.
Diego Takahashi and Vanderlei C. Oliveira Jr.
Geosci. Model Dev., 10, 3591–3608, https://doi.org/10.5194/gmd-10-3591-2017, https://doi.org/10.5194/gmd-10-3591-2017, 2017
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Ellipsoids are the only bodies for which the self-demagnetization can be treated analytically. This property is useful for modelling compact orebodies having high susceptibility. We present a review of the magnetic modelling of ellipsoids, propose a way of determining the isotropic susceptibility above which the self-demagnetization must be considered, and discuss the ambiguity between confocal ellipsoids, as well as provide a set of routines to model the magnetic field produced by ellipsoids.
Hein J. van Heck, J. Huw Davies, Tim Elliott, and Don Porcelli
Geosci. Model Dev., 9, 1399–1411, https://doi.org/10.5194/gmd-9-1399-2016, https://doi.org/10.5194/gmd-9-1399-2016, 2016
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Currently, extensive geochemical databases of surface observations exist, but satisfying explanations of underlying mantle processes are lacking. We have implemented a new way to track both bulk compositions and concentrations of trace elements in a mantle convection code. In our model, chemical fractionation happens at evolving melting zones. We compare our results to a semi-analytical theory relating observed arrays of correlated Pb isotope compositions to melting age distributions.
J. Florian Wellmann, Sam T. Thiele, Mark D. Lindsay, and Mark W. Jessell
Geosci. Model Dev., 9, 1019–1035, https://doi.org/10.5194/gmd-9-1019-2016, https://doi.org/10.5194/gmd-9-1019-2016, 2016
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We often obtain knowledge about the subsurface in the form of structural geological models, as a basis for subsurface usage or resource extraction. Here, we provide a modelling code to construct such models on the basis of significant deformational events in geological history, encapsulated in kinematic equations. Our methods simplify complex dynamic processes, but enable us to evaluate how events interact, and finally how certain we are about predictions of structures in the subsurface.
A. D. Wickert
Geosci. Model Dev., 9, 997–1017, https://doi.org/10.5194/gmd-9-997-2016, https://doi.org/10.5194/gmd-9-997-2016, 2016
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Earth's lithosphere bends beneath surface loads, such as ice, sediments, and mountain belts. The pattern of this bending, or flexural isostatic response, is a function of both the loads and the spatially variable strength of the lithosphere. gFlex is an easy-to-use program to calculate flexural isostastic response, and may be used to better understand how ice sheets, glaciers, large lakes, sedimentary basins, volcanoes, and other surface loads interact with the solid Earth.
A. Folch, A. Costa, and G. Macedonio
Geosci. Model Dev., 9, 431–450, https://doi.org/10.5194/gmd-9-431-2016, https://doi.org/10.5194/gmd-9-431-2016, 2016
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We present FPLUME-1.0, a steady-state 1-D cross-section-averaged eruption column model based on the buoyant plume theory (BPT). The model accounts for plume bending by wind, entrainment of ambient moisture, effects of water phase changes, particle fallout and re-entrainment, a new parameterization for the air entrainment coefficients and a model for wet aggregation of ash particles in presence of liquid water or ice.
M. Dumon and E. Van Ranst
Geosci. Model Dev., 9, 41–57, https://doi.org/10.5194/gmd-9-41-2016, https://doi.org/10.5194/gmd-9-41-2016, 2016
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This paper presents a FOSS model called PyXRD used to improve the quantification of complex mixed-layer phyllosilicate assemblages using X-ray diffraction. The novelty of this model is the ab initio incorporation of the multi-specimen method, making it possible to share phases and their parameters across multiple specimens. We present results from a comparison of PyXRD with Sybilla v2.2.2 and a number of theoretical experiments illustrating the use of the multi-specimen set-up.
M. Mergili, J. Krenn, and H.-J. Chu
Geosci. Model Dev., 8, 4027–4043, https://doi.org/10.5194/gmd-8-4027-2015, https://doi.org/10.5194/gmd-8-4027-2015, 2015
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r.randomwalk is a flexible and multi-functional open-source GIS tool for simulating the propagation of mass movements. Mass points are routed from given release pixels through a digital elevation model until a defined break criterion is reached. In contrast to existing tools, r.randomwalk includes functionalities to account for parameter uncertainties, and it offers built-in functions for validation and visualization. We show the key functionalities of r.randomwalk for three test areas.
V. Naipal, C. Reick, J. Pongratz, and K. Van Oost
Geosci. Model Dev., 8, 2893–2913, https://doi.org/10.5194/gmd-8-2893-2015, https://doi.org/10.5194/gmd-8-2893-2015, 2015
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We adjusted the topographical and rainfall erosivity factors that are the triggers of erosion in the Revised Universal Soil Loss Equation (RUSLE) model to make the model better applicable at coarse resolution on a global scale. The adjusted RUSLE model compares much better to current high resolution estimates of soil erosion in the USA and Europe. It therefore provides a basis for estimating past and future global impacts of soil erosion on climate with the use of Earth system models.
Cited articles
Abramowitz, M. and Stegun, I. A.: Handbook of mathematical functions with
formulas, graphs, and mathematical table, US Department of Commerce,
National Bureau of Standards Applied Mathematics , Washington DC, USA, 1965. a
Ahrens, C. D.: Meteorology today: an introduction to weather, climate, and the
environment, Cengage Learning, Boston, MA, 2012. a
Anderson, G. P., Clough, S. A., Kneizys, F., Chetwynd, J. H., and Shettle,
E. P.: AFGL atmospheric constituent profiles (0.120 km), Technical Report,
Air Force Geophysics Lab, Hanscom, MA, USA, 46 pp., 1986. a
Ascher, U. M., Ruuth, S. J., and Spiteri, R. J.: Implicit-explicit Runge-Kutta
methods for time-dependent partial differential equations, Appl. Numer.
Math., 25, 151–167, 1997. a
Baines, P. G.: The dynamics of intrusions into a density-stratified crossflow,
Phys. Fluids, 25, 076601, https://doi.org/10.1063/1.4811850, 2013. a, b, c, d
Bonadonna, C., Biass, S., Menoni, S., and Gregg, C. E.: Assessment of risk
associated with tephra-related hazards, in: Forecasting and Planning for
Volcanic Hazards, Risks, and Disasters, Volume 2, edited by: Papale, P., Elsevier, Amsterdam, Netherlands, 329–378, https://doi.org/10.1016/B978-0-12-818082-2.00008-1, 2021. a
Brasefield, C.: Winds at altitudes up to 80 kilometers, J. Geophys. Res., 59, 233–237, 1954. a
Bursik, M., Sparks, R., Gilbert, J., and Carey, S.: Sedimentation of tephra by
volcanic plumes: I. Theory and its comparison with a study of the Fogo A
plinian deposit, Sao Miguel (Azores), B. Volcanol., 54, 329–344,
1992. a
Castruccio, A., Clavero, J., Segura, A., Samaniego, P., Roche, O., Le Pennec,
J.-L., and Droguett, B.: Eruptive parameters and dynamics of the April 2015
sub-Plinian eruptions of Calbuco volcano (southern Chile), B.
Volcanol., 78, 1–19, https://doi.org/10.1007/s00445-016-1058-8, 2016. a
Cerminara, M., Esposti Ongaro, T., and Berselli, L. C.: ASHEE-1.0: a compressible, equilibrium–Eulerian model for volcanic ash plumes, Geosci. Model Dev., 9, 697–730, https://doi.org/10.5194/gmd-9-697-2016, 2016. a, b
Colucci, S., Landi, P., and de' Michieli Vitturi, M.: CrystalMom: a new model
for the evolution of crystal size distributions in magmas with the
quadrature-based method of moments, Contrib. Mineral.
Petr., 172, 100, https://doi.org/10.1007/s00410-017-1421-6, 2017. a
Costa, A., Folch, A., and Macedonio, G.: Density-driven transport in the
umbrella region of volcanic clouds: Implications for tephra dispersion
models, Geophys. Res. Lett., 40, 4823–4827, https://doi.org/10.1002/grl.50942,
2013. a, b, c
Costa, A., Suzuki, Y. J., Cerminara, M., Devenish, B. J., Esposti Ongaro, T., Herzog, M., Van Eaton, A. R., Denby, L. C., Bursik, M., de' Michieli Vitturi, M., Engwell, S., Neri, A., Barsotti, S., Folch, A., Macedonio, G., Girault, F., Carazzo, G., Tait, S., Kaminski, E., Mastin, L. G., Woodhouse, M. J., Phillips, J. C., Hogg, A. J., Degruyter, W., and Bonadonna, C.:
Results of the eruptive column model inter-comparison study, J.
Volcanol. Geoth. Res., 326, 2–25, https://doi.org/10.1016/j.jvolgeores.2016.01.017, 2016. a, b, c, d
Courant, R., Friedrichs, K., and Lewy, H.: On the partial difference equations
of mathematical physics, IBM J. Res. Dev., 11,
215–234, 1967. a
Daidzic, N. E.: On atmospheric lapse rates, Int. J. Aviat.
Aeronaut. Aerosp., 6, https://doi.org/10.15394/ijaaa.2019.1374, 2019. a, b
Degruyter, W. and Bonadonna, C.: Improving on mass flow rate estimates of
volcanic eruptions, Geophys. Res. Lett., 39, L16308, https://doi.org/10.1029/2012GL052566, 2012. a
de' Michieli Vitturi, M. and Pardini, F.: PLUME-MoM-TSM v. 1.0.0 (Version
1.0.0), Zenodo, https://doi.org/10.5281/zenodo.3904379, 2020. a
de' Michieli Vitturi, M., Neri, A., and Barsotti, S.: PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments, Geosci. Model Dev., 8, 2447–2463, https://doi.org/10.5194/gmd-8-2447-2015, 2015. a, b, c, d
de' Michieli Vitturi, M., Engwell, S., Neri, A., and Barsotti, S.:
Uncertainty quantification and sensitivity analysis of volcanic columns
models: Results from the integral model PLUME-MoM, J. Volcanol.
Geoth. Res., 326, 77–91, https://doi.org/10.1016/j.jvolgeores.2016.03.014, 2016. a, b
de' Michieli Vitturi, M., Esposti Ongaro, T., Lari, G., and Aravena, A.: IMEX_SfloW2D 1.0: a depth-averaged numerical flow model for pyroclastic avalanches, Geosci. Model Dev., 12, 581–595, https://doi.org/10.5194/gmd-12-581-2019, 2019. a
Devenish, B.: Using simple plume models to refine the source mass flux of
volcanic eruptions according to atmospheric conditions, J.
Volcanol. Geoth. Res., 256, 118–127, 2013. a
Dormand, J. R. and Prince, P. J.: A family of embedded Runge-Kutta formulae,
J. Comput. Appl. Math., 6, 19–26, 1980. a
Dutton, J. A.: The ceaseless wind: An introduction to the theory of atmospheric
motion, Courier Corporation, McGraw-Hill, New York, 2002. a
Ganser, G. H.: A rational approach to drag prediction of spherical and
nonspherical particles, Powder Technol., 77, 143–152, 1993. a
Graf, H.-F., Herzog, M., Oberhuber, J. M., and Textor, C.: Effect of
environmental conditions on volcanic plume rise, J. Geophys.
Res.-Atmos., 104, 24309–24320, 1999. a
Herzog, M., Graf, H.-F., Textor, C., and Oberhuber, J. M.: The effect of phase
changes of water on the development of volcanic plumes, J.
Volcanol. Geoth. Res., 87, 55–74, 1998. a
Hewett, T., Fay, J., and Hoult, D.: Laboratory experiments of smokestack plumes
in a stable atmosphere, Atmos. Environ., 5, 767–789, 1971. a
Künzli, P., Falcone, J.-L., Rossi, E., Albuquerque, P., and Chopard, B.:
HPC multiscale simulation of transport and aggregation of volcanic particles,
in: Proceedings of the 17th International Symposium on Parallel and Distributed Computing
(ISPDC), Proceedings of 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC), 25–28 June 2018, Geneva, Switzerland, 25–32, 2018. a
Liu, L. and Litster, J.: Population balance modelling of granulation with a
physically based coalescence kernel, Chem. Eng. Sci., 57,
2183–2191, 2002. a
Marchisio, D. L. and Fox, R. O.: Computational models for polydisperse
particulate and multiphase systems, Cambridge University Press, Cambridge, UK, 2013. a
Marchisio, D. L., Vigil, R. D., and Fox, R. O.: Quadrature method of moments
for aggregation–breakage processes, J. Colloid Interf.
Sci., 258, 322–334, 2003. a
Modica, G. D., Nehrkorn, T., and Myers, T.: An Investigation of Stratospheric
Winds in Support of the High Altitude Airship, available at: https://ams.confex.com/ams/pdfpapers/128256.pdf (last access: 23 February 2021), 2007. a
Oberhuber, J. M., Herzog, M., Graf, H.-F., and Schwanke, K.: Volcanic plume
simulation on large scales, J. Volcanol. Geoth. Res.,
87, 29–53, 1998. a
Ongaro, T. E., Cavazzoni, C., Erbacci, G., Neri, A., and Salvetti, M.-V.: A
parallel multiphase flow code for the 3D simulation of explosive volcanic
eruptions, Parallel Comput., 33, 541–560, 2007. a
Pardini, F., Burton, M., Arzilli, F., La Spina, G., and Polacci, M.: SO2
emissions, plume heights and magmatic processes inferred from satellite data:
The 2015 Calbuco eruptions, J. Volcanol. Geoth. Res.,
361, 12–24, 2018. a
Pfeiffer, T., Costa, A., and Macedonio, G.: A model for the numerical
simulation of tephra fall deposits, J. Volcanol. Geoth.
Res., 140, 273–294, 2005. a
Pouget, S., Bursik, M., Sparks, R., Hogg, A., Johnson, C., Singh, T., and
Pavolonis, M.: Gravity current model of the volumetric growth of volcanic
clouds: remote assessment with satellite imagery and estimation of mass
eruption rate, American Geophysical Union, Fall Meeting 2013, San Francisco (USA), December 2013, abstract id. V23C-2861, 2013. a
Pouget, S., Bursik, M., Johnson, C. G., Hogg, A. J., Phillips, J. C., and
Sparks, R. S. J.: Interpretation of umbrella cloud growth and morphology:
implications for flow regimes of short-lived and long-lived eruptions,
B. Volcanol., 78, 1, https://doi.org/10.1007/s00445-015-0993-0, 2016. a, b, c
Romero, J. E., Morgavi, D., Arzilli, F., Daga, R., Caselli, A., Reckziegel, F., Viramonte, J., Díaz-Alvarado, J., Polacci, M., Burton, M., and Perugini, D.:
Eruption dynamics of the 22–23 April 2015 Calbuco Volcano (Southern Chile):
Analyses of tephra fall deposits, J. Volcanol. Geoth.
Res., 317, 15–29, 2016. a, b
Rossi, E., Pollastri, S., and Bonadonna, C.: Ash aggregation in volcanic
plumes: when, where, how. A new theoretical perspective, EGUGA, 12854, 20th EGU General Assembly, EGU2018, Proceedings from the conference held 4–13 April, 2018 in Vienna, Austria, p. 12854,
2018. a
Saltelli, A., Annoni, P., Azzini, I., Campolongo, F., Ratto, M., and Tarantola,
S.: Variance based sensitivity analysis of model output. Design and estimator
for the total sensitivity index, Comput. Phys. Commun., 181, 259–270, https://doi.org/10.1016/j.cpc.2009.09.018, 2010. a
Scollo, S., Tarantola, S., Bonadonna, C., Coltelli, M., and Saltelli, A.:
Sensitivity analysis and uncertainty estimation for tephra dispersal
models, J. Geophys. Res.-Sol. Ea., 113, 1–17,
https://doi.org/10.1029/2006JB004864, 2008. a
Self, S.: Large-scale phreatomagmatic silicic volcanism: a case study from New
Zealand, J. Volcanol. Geoth. Res., 17, 433–469, 1983. a
Sisson, T.: Blast ashfall deposit of May 18, 1980 at Mount St. Helens,
Washington, J. Volcanol. Geoth. Res., 66, 203–216,
1995. a
Smoluchowski, M.: Attempt at a mathematical theory of coagulation kinetics of
colloidal solutions, Z. Phys. Chem., 92, 129–168, 1917. a
Sparks, R. S. J., Bursik, M., Carey, S., Gilbert, J., Glaze, L., Sigurdsson,
H., and Woods, A.: Volcanic plumes, Wiley, United States, 1997. a
Suzuki, Y. and Koyaguchi, T.: A three-dimensional numerical simulation of
spreading umbrella clouds, J. Geophys. Res.-Sol. Ea., 114, B03209, https://doi.org/10.1029/2007JB005369,
2009. a, b
Textor, C., Graf, H., Herzog, M., Oberhuber, J., Rose, W. I., and Ernst, G.:
Volcanic particle aggregation in explosive eruption columns. Part II:
Numerical experiments, J. Volcanol. Geoth. Res., 150,
378–394,
2006a. a
Þórarinsson, S.: Surtsey: the new island in the North Atlantic, Viking
Press, New York, USA, 1967. a
Ungarish, M. and Huppert, H. E.: On gravity currents propagating at the base of
a stratified ambient, J. Fluid Mech., 458, 283–301, 2002. a
Van Eaton, A. R., Muirhead, J. D., Wilson, C. J., and Cimarelli, C.: Growth of
volcanic ash aggregates in the presence of liquid water and ice: an
experimental approach, B. Volcanol., 74, 1963–1984, 2012. a
Van Eaton, A. R., Amigo, Á., Bertin, D., Mastin, L. G., Giacosa, R. E.,
González, J., Valderrama, O., Fontijn, K., and Behnke, S. A.: Volcanic
lightning and plume behavior reveal evolving hazards during the April 2015
eruption of Calbuco volcano, Chile, Geophys. Res. Lett., 43,
3563–3571, 2016. a, b, c, d, e, f
Veitch, G. and Woods, A. W.: Particle aggregation in volcanic eruption columns,
J. Geophys. Res.-Sol. Ea., 106, 26425–26441, 2001. a
Wallace, K. L., Schaefer, J. R., and Coombs, M. L.: Character, mass,
distribution, and origin of tephra-fall deposits from the 2009 eruption of
Redoubt Volcano, Alaska – Highlighting the significance of particle
aggregation, J. Volcanol. Geoth. Res., 259, 145–169,
2013. a
Webster, H. N., Devenish, B. J., Mastin, L. G., Thomson, D. J., and Van Eaton,
A. R.: Operational modelling of umbrella cloud growth in a lagrangian
volcanic ash transport and dispersion model, Atmosphere, 11, 200, https://doi.org/10.3390/atmos11020200, 2020. a, b
Woods, A. W.: The fluid dynamics and thermodynamics of eruption columns,
B. Volcanol., 50, 169–193,
1988. a
Short summary
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.
Here, we present PLUME-MoM-TSM, a volcanic plume model that allows us to quantify the formation...
