Filtering by Subject: Numerical Analysis and Scientific Computing

DASCore: a Python Library for Distributed Fiber Optic Sensing

Derrick Chambers, Ge Jin, Ahmad Tourei, et al.

Published: 2024-01-18
Subjects: Earth Sciences, Geophysics and Seismology, Numerical Analysis and Scientific Computing

In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, [...]

Deep learning with simulated laser scanning data for 3D point cloud classification

Alberto M. Esmorís, Hannah Weiser, Lukas Winiwarter, et al.

Published: 2024-01-17
Subjects: Artificial Intelligence and Robotics, Computer Sciences, Earth Sciences, Numerical Analysis and Scientific Computing, Other Earth Sciences

Laser scanning is an active remote sensing technique applied in many disciplines to acquire state-of-the-art spatial measurements. Semantic labeling is often necessary to extract information from the raw point cloud. Deep learning methods constitute a data-hungry solution for the semantic segmentation of point clouds. In this work, we investigate the use of simulated laser scanning for training [...]

Open-source approach for reproducible substrate mapping using semantic segmentation on recreation-grade side scan sonar datasets

Cameron Scott Bodine, Daniel David Buscombe, Toby D. Hocking

Published: 2023-12-21
Subjects: Analysis, Artificial Intelligence and Robotics, Databases and Information Systems, Environmental Monitoring, Hydrology, Natural Resources and Conservation, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Programming Languages and Compilers, Software Engineering, Terrestrial and Aquatic Ecology, Water Resource Management

Knowledge of the variation and distribution of substrates at large spatial extents in aquatic systems, particularly rivers, is severely lacking, impeding species conservation and ecosystem restoration efforts. Air and space-borne remote sensing important for terrestrial and atmospheric measurements are limited in benthic environments due to river stage, turbidity, and canopy cover, requiring [...]

Role of Indonesian Archipelago on Global Thermohaline Circulation: Insights from Numerical Experiments

Sandy Hardian Susanto Herho, Iwan Pramesti Anwar, Gisma Aminurah Firdaus, et al.

Published: 2023-12-19
Subjects: Numerical Analysis and Scientific Computing, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

This study employs the cGENIE Earth System Model to investigate the effects of the Indonesian Throughflow (ITF) and Indonesian Archipelago (IA) closure on global meridional thermohaline circulation (THC). Over a simulated period of 10,000 years, the analysis centers on critical variables, including surface density, vertical density profiles, global overturning circulation, and ocean ventilation [...]

Sensitivity Analysis of Global Kinematics on Mantle Structure Using Automatically Generated Adjoint Thermochemical Convection Codes

Nicolas Coltice, Simon Blessing, Ralph Giering, et al.

Published: 2023-12-11
Subjects: Earth Sciences, Geophysics and Seismology, Numerical Analysis and Scientific Computing, Tectonics and Structure

Within the past 30 years, numerical models of mantle convection have been able to predict observations on Earth and planets, and among them tectonics. The possibility of building inverse problems in global geodynamics became concrete, and often involve the development of adjoint codes. Such tools provide efficient ways to estimate sensitivities of misfit functions relative to control parameters, [...]

A paradigm shift towards decentralized cloud-integrated spatial data infrastructures: Lessons learned and solutions provided for public authorities

Florian Beyer, Patric Brandt, Michael Schmidt, et al.

Published: 2023-06-08
Subjects: Agriculture, Computer and Systems Architecture, Numerical Analysis and Scientific Computing, Sustainability

Digital transformation is a key to turn public authorities into organisations that make decisions based on data-driven insights. The use of big geodata can enable public authorities to tackle complex sustainability issues. However, the efficient management of large amounts of geodata through implementing viable data infrastructures represents a major challenge for public authorities. In this [...]

Global multi-hazard risk assessment in a changing climate

Zélie Stalhandske, Carmen B. Steinmann, Simona Meiler, et al.

Published: 2023-04-20
Subjects: Applied Statistics, Climate, Numerical Analysis and Scientific Computing, Risk Analysis

Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated risks is crucial for many applications such as adaptation option appraisal and insurance pricing. However, traditional risk assessment approaches have focused on the impacts of single hazards, ignoring the effects of multi-hazard risks and potentially leading to underestimations or [...]

PyRaysum: Software for Modeling Ray-theoretical Plane Body-wave Propagation in Dipping Anisotropic Media

Wasja Bloch, Pascal Audet

Published: 2023-02-10
Subjects: Geophysics and Seismology, Numerical Analysis and Scientific Computing

This article introduces PyRaysum, a Python software for modeling ray-theoretical body-wave propagation in dipping and/or anisotropic layered media based on the popular Fortran code Raysum. We improve and expand upon Raysum in several ways: 1) we significantly reduce the overhead by avoiding input/output operations; 2) we implement automatic phase labeling to facilitate the interpretation of [...]

A Bayesian Level Set Method for Identifying Subsurface Geometries and Rheological Properties in Stokes Flow

Lukas Holbach, Michael Gurnis, Georg Stadler

Published: 2023-01-16
Subjects: Earth Sciences, Geophysics and Seismology, Numerical Analysis and Scientific Computing

We aim to simultaneously infer the shape of subsurface structures and material properties such as density or viscosity from surface observations. Modeling mantle flow using incompressible instantaneous Stokes equations, the problem is formulated as an infinite-dimensional Bayesian inverse problem. Subsurface structures are described as level sets of a smooth auxiliary function, allowing for [...]

Improving Shoreline Forecasting Models with Multi-Objective Genetic Programming

Mahmoud Al Najar, Rafael Almar, Erwin W. J. Bergsma, et al.

Published: 2023-01-11
Subjects: Artificial Intelligence and Robotics, Climate, Environmental Engineering, Environmental Monitoring, Geomorphology, Hydrology, Numerical Analysis and Scientific Computing, Oceanography, Sedimentology, Statistical Models

Given the current context of climate change and increasing population densities at coastal zones, there is an increasing need to be able to predict the development of our coasts. Recent advances in artificial intelligence allow for automatic analysis of observational data. This work makes use of Symbolic Regression, a type of Machine Learning algorithm, to evolve interpretable shoreline [...]

Application of micro-CT to deep-marine outcrop data: towards a new tool to better assess primary sedimentary structures and processes at their origin

Pauline Cornard, Gerald Degenhart, Peter Tropper, et al.

Published: 2022-12-17
Subjects: Numerical Analysis and Scientific Computing, Sedimentology

A new application of micro-CT on consolidated sediment-gravity flow deposits is presented with the objectives to characterize its internal sedimentary three-dimensional (3D) structures. The proposed concept is applied to three types of deep-marine sandstones, sampled in study areas showing different compositional properties: the Upper Cretaceous Gosau Group (Austria), the Eocene Hecho Group [...]

Efficiently Simulating Lagrangian Particles in Large-Scale Ocean Flows – Data Structures and their Impact on Geophysical Applications

Christian Kehl, Peter Dirk Nooteboom, Mikael L.A. Kaandorp, et al.

Published: 2022-10-26
Subjects: Fluid Dynamics, Numerical Analysis and Scientific Computing, Oceanography

Studying oceanography by using Lagrangian simulations has been adopted for a range of scenarios, such as the determining the fate of microplastics in the ocean, simulating the origin locations of microplankton used for palaeoceanographic reconstructions, for studying the impact of fish aggregation devices on the migration behaviour of tuna. These simulations are complex and represent a [...]

Ocean Surface Gravity Wave Excitation of Flexural Gravity and Extensional Lamb Waves in Ice Shelves

Lauren S Abrahams, Jose E. Mierzejewski, Eric M Dunham

Published: 2022-08-30
Subjects: Earth Sciences, Glaciology, Numerical Analysis and Scientific Computing

Flexure and extension of ice shelves in response to incident ocean surface gravity waves have been linked to iceberg calving, rift growth, and even disintegration of ice shelves. Most modeling studies utilize a plate bending model for the ice, focusing exclusively on flexural gravity waves. Ross Ice shelf seismic data shows not only flexural gravity waves, with dominantly vertical displacements, [...]

A genetic model of the magnetite-apatite deposits on El Laco volcano by extrusion of iron-rich melt

Tobias Keller, Fernando Tornos, John M. Hanchar, et al.

Published: 2022-08-25
Subjects: Dynamical Systems, Earth Sciences, Fluid Dynamics, Geochemistry, Geology, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Tectonics and Structure, Volcanology

Magnetite-apatite deposits are important sources of iron and other metals. A prominent exam- ple are the magnetite lavas at the El Laco volcano, Northern Chile. Their formation processes remain debated. Here, we test the genetic hypothesis that an Fe-rich melt separated from silicate magma and ascended along collapse-related fractures. We complement recent analy- ses with thermodynamic modelling [...]

A Machine Learning Approach to Finding Factors that Lead to Environmental Friendliness

Sucheer Maddury

Published: 2022-08-22
Subjects: Artificial Intelligence and Robotics, Databases and Information Systems, Environmental Sciences, Numerical Analysis and Scientific Computing

To maintain a sustainable society, environmental friendliness is necessary, an effort that all countries must take part in. The effort must be pioneered by developed nations with the resources to enact sustainable policies, reduce emissions and conserve energy, from which developing nations will follow the eroded path. Recognizing the factors that promote environmental friendliness is necessary [...]


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