Filtering by Subject: Numerical Analysis and Scientific Computing

The dynamics of the Campi Flegrei caldera magma chamber.

Chiara Paola Montagna, Paolo Papale, Antonella Longo

Published: 2021-09-10
Subjects: Fluid Dynamics, Numerical Analysis and Scientific Computing, Volcanology

The Campi Flegrei volcanic system is certainly a remarkable case study for what concerns magma chamber dynamics. In fact, its magmatic and volcanic history appears to have been largely driven by chamber processes like fractional crystallization, magma mixing, and volatile degassing. These processes have been intensely investigated with a variety of approaches that are described in many chapters [...]

An open workflow for the study of unseen weather extremes

Timo Kelder, Tim Marjoribanks, Louise Slater, et al.

Published: 2021-09-10
Subjects: Climate, Hydrology, Meteorology, Numerical Analysis and Scientific Computing

Ensemble members from weather and climate predictions can be used to generate large samples of simulated weather events, allowing the estimation of extreme (hitherto unseen) events. Here, we provide a protocol and open workflow for applying the ‘UNSEEN’ method for hydro-climatic extremes globally, based on Copernicus Climate Change Services (C3S) seasonal predictions but also considering other [...]

A Multiphysics approach to constrain the dynamics of the Altiplano-Puna magmatic system

Arne Spang, Tobias S. Baumann, Boris J. P. Kaus

Published: 2021-06-25
Subjects: Computer Sciences, Earth Sciences, Geology, Geophysics and Seismology, Numerical Analysis and Scientific Computing, Volcanology

Continuous Interferometric Synthetic Aperture Radar (InSAR) monitoring (> 25 years) has revealed a concentric surface deformation pattern above the Altiplano-Puna magma body (APMB) in the central Andes. Here, we use a joint interpretation of seismic imaging, gravity anomalies and InSAR data to constrain location, 3D geometry and density of the magma body. By combining gravity modelling, [...]

Turbulent flow effects in hydraulic fracture propagation in permeable rock

Evgenii Kanin, Dmitry Garagash, Andrei Osiptsov

Published: 2021-06-14
Subjects: Fluid Dynamics, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing, Oil, Gas, and Energy

This chapter considers a model for a radial hydraulic fracture propagation in a permeable, linear elastic rock formation driven by a point source fluid injection. The linear elastic fracture mechanics theory controls the quasi-static propagation. The hydraulic fracturing fluid is slickwater -- pure water solution with polymeric additives which allow reducing the fluid flow friction in the [...]

A radial hydraulic fracture driven by a Herschel–Bulkley fluid

Evgenii Kanin, Egor Dontsov, Dmitry Garagash, et al.

Published: 2021-05-27
Subjects: Fluid Dynamics, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing, Oil, Gas, and Energy, Volcanology

We analyse the influence of fluid yield stress on propagation of a radial (penny-shaped) hydraulic fracture in a permeable reservoir. In particular, the Herschel-Bulkley rheological model is adopted that includes yield stress and non-linearity of the shear stress. The rock is assumed to be linear elastic, and the fracture is driven by the point source fluid injection with a constant volumetric [...]

Data Science for Geoscience: Recent Progress and Future Trends from the Perspective of a Data Life Cycle

Xiaogang Ma

Published: 2021-05-04
Subjects: Artificial Intelligence and Robotics, Databases and Information Systems, Earth Sciences, Environmental Sciences, Numerical Analysis and Scientific Computing, Theory and Algorithms

Data science receives increasing attention in a variety of geoscience disciplines and applications. Many successful data-driven geoscience discoveries have been reported recently, and the number of geoinformatics and data science sessions have begun to increase in many geoscience conferences. Across academia, industry, and governmental sectors, there is a strong interest to know more about the [...]

Inversionson: Fully Automated Seismic Waveform Inversions

Solvi Thrastarson, Dirk-Philip van Herwaarden, Andreas Fichtner

Published: 2021-03-03
Subjects: Geophysics and Seismology, Numerical Analysis and Scientific Computing, Software Engineering

We present Inversionson, a Python package that fully automates modern full-waveform inversions (FWI). It supports traditional FWI, which uses the same set of events and a single simulation mesh in each iteration, as well as more advanced workflows that exploit the use of dynamic mini-batches and wavefield-adapted meshes. These recently introduced advancements can be time-consuming and [...]

Numerical modeling of Earth's dynamic surface: a community approach

Gregory E Tucker, Eric Hutton, Mark Piper, et al.

Published: 2021-02-14
Subjects: Civil and Environmental Engineering, Computer Sciences, Earth Sciences, Engineering, Environmental Engineering, Environmental Sciences, Geology, Geomorphology, Glaciology, Hydrology, Numerical Analysis and Scientific Computing, Other Environmental Sciences, Physical Sciences and Mathematics, Sedimentology, Soil Science, Stratigraphy

Computational modelling occupies a unique niche in Earth environmental sciences. Models serve not just as scientific technology and infrastructure, but also as digital containers of the scientific community's understanding of the natural world. As this understanding improves, so too must the associated software. This dual nature---models as both infrastructure and hypotheses---means that [...]

Classification, segmentation and correlation of zoned minerals

Tom Sheldrake, Oliver John Higgins

Published: 2021-02-01
Subjects: Earth Sciences, Environmental Sciences, Geochemistry, Geology, Numerical Analysis and Scientific Computing, Statistics and Probability, Volcanology

Minerals exhibit zoning patterns that can be related to changes in the environment in which they grew. Using statistical methods that have been designed to segment optical images, we have developed a procedure to segment zonation within minerals and correlate these zones between multiple crystals using elemental maps. This allows us to quantify the complexity and variability of chemical zoning [...]

LASIF: LArge-scale Seismic Inversion Framework, an updated version

Solvi Thrastarson, Dirk-Philip van Herwaarden, Lion Krischer, et al.

Published: 2021-01-07
Subjects: Geophysics and Seismology, Numerical Analysis and Scientific Computing, Software Engineering

Recent methodological advances and increases in computational power have made it feasible to perform full-waveform inversions (FWI) of large domains while using more sources. This trend, along with the increasing availability of seismic data has led to an explosion of the data volumes that can, and should, be used within an inversion. Similar to machine learning problems, the incorporation of [...]

LakeEnsemblR: An R package that facilitates ensemble modelling of lakes

Tadhg N. Moore, Jorrit P. Mesman, Robert Ladwig, et al.

Published: 2021-01-06
Subjects: Fresh Water Studies, Hydrology, Numerical Analysis and Scientific Computing, Water Resource Management

Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of [...]

A study of nowcast of Indian Monsoon Rainfall over Mumbai using Rainymotion

Kunal Anil Rustagi, Vipul Gote, Mahesh Mote, et al.

Published: 2020-12-31
Subjects: Atmospheric Sciences, Meteorology, Numerical Analysis and Scientific Computing

Since ages, we know that rainfall is a very important factor in deciding the fate of a country. In an agrarian country like India where more than 70% of rural households are dependent on agriculture, agriculture contributes to nearly 17% GDP of the country and is directly dependent on rainfall. Excessive rainfall can lead to floods, landslides, soil erosion and no rainfall can lead to [...]

Forecasting the localized bilateral effects of ocean acidification on the counter carbonate pump using recurrent neural networks

Eshan Ramesh

Published: 2020-07-08
Subjects: Artificial Intelligence and Robotics, Chemistry, Computer Sciences, Environmental Chemistry, Numerical Analysis and Scientific Computing, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

The counter carbonate pump(CCP) is responsible for carbon dioxide sequestration and cycling forms of carbon in the ocean. It is primarily driven by calcifying plankton, such as foraminifera, coccolithophores, and pteropods. These organisms are particularly vulnerable to ocean acidification, which can have disastrous effects on their skeletons and productivity, upsetting the marine carbon cycle in [...]

Stress Recovery for the Particle-in-cell Finite Element Method

Haibin Yang, Louis Moresi, John Mansour

Published: 2020-05-26
Subjects: Applied Mathematics, Computer Sciences, Earth Sciences, Geophysics and Seismology, Mathematics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Tectonics and Structure

The interelement stress in the Finite Element Method is not continuous in nature, and stress projections from quadrature points to mesh nodes often causes oscillations. The widely used particle-in-cell method cannot avoid this issue and produces worse results when there are mixing materials of large strength (e.g., viscosity in Stokes problems) contrast in one element. The post-processing methods [...]

Goal-Oriented Error Estimation and Mesh Adaptation for Shallow Water Modelling

Joseph Wallwork, Nicolas Barral, Stephan C. Kramer, et al.

Published: 2019-12-31
Subjects: Applied Mathematics, Computer Sciences, Engineering, Non-linear Dynamics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Partial Differential Equations, Physical Sciences and Mathematics

Numerical modelling frequently involves a diagnostic quantity of interest (QoI) - often of greater importance than the PDE solution - which we seek to accurately approximate. In the case of coastal ocean modelling the power output of a tidal turbine farm is one such example. Goal-oriented error estimation and mesh adaptation can be used to provide meshes which are well-suited to achieving this [...]


You can search by:

  • Title
  • Keywords
  • Author Name
  • Author Affiliation