Preprints
Filtering by Subject: Numerical Analysis and Scientific Computing
Implicit-tuning signal quantified through a tri-experiment design in a legacy spectral GCM
Published: 2026-06-15
Subjects: Atmospheric Sciences, Climate, Numerical Analysis and Scientific Computing
We quantify the climate response of the MGO atmospheric general circulation model (MGO-03 T42L25) to two alternative implementations of a structural fix in the vertical-exchange parameterization. A companion parallelization study (under review) identifies an unintended inter-latitude state leakage through SAVE-persistent working arrays in the boundary-layer scheme. Here we contrast the legacy [...]
A Fibonacci-Like Propagation Graph for Infiltration and Internal Erosion in Heterogeneous Layered Soils
Published: 2026-06-06
Subjects: Geotechnical Engineering, Hydrology, Numerical Analysis and Scientific Computing, Soil Science
Infiltration and internal erosion in heterogeneous layered soils involve coupled flow, pressure build-up, and material degradation across preferential subsurface pathways. High-fidelity Richards-type simulators are physically detailed but can be too expensive for rapid scenario screening and Monte Carlo uncertainty propagation when hydraulic parameters are poorly constrained. We introduce a [...]
A benchmark deep learning dataset for the classification of supraglacial lake drainage mechanism across the central-west Greenland Ice Sheet
Published: 2026-05-29
Subjects: Artificial Intelligence and Robotics, Earth Sciences, Glaciology, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics
Supraglacial lakes on the Greenland Ice Sheet drain through physically distinct pathways: hydrofracture, moulins, lateral stream routing, and crevasse-fields. Each drainage mechanism carries unique implications for ice sheet dynamics. Existing automated classifications reduce each lake's drainage behavior to a time-series of scalar values representing the observed water surface-area and classify [...]
Inverse computational morphology of debris and alluvial fans
Published: 2026-04-09
Subjects: Geographic Information Sciences, Geomorphology, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing
In mountain areas, debris flows and fluvial transport often build up conical deposits at the confluence between steep tributaries and trunk rivers. The resulting debris and alluvial fans typically exhibit a well-defined relationship between slope or elevation and the distance from the fan apex. This relationship, however, becomes more difficult to characterize when fans are constrained by the [...]
Injecting vegetation-based spatialization in the hydrogeological framework for erosion modelling
Published: 2026-03-31
Subjects: Applied Statistics, Biodiversity, Computer Sciences, Earth Sciences, Geomorphology, Numerical Analysis and Scientific Computing
Erosion processes and landslide are widespread across Italy and frequently cause significant damage to people, infrastructure, and ecosystems. These processes are primarily triggered by rainfall events, whose impact depends on multiple interacting factors, including geomorphology, soil properties, land use, and vegetation. Among these, vegetation plays an essential role in regulating hillslope [...]
Frictional weakening in the highly mobile 2025 Blatten (Switzerland) rock–ice avalanche
Published: 2026-03-17
Subjects: Artificial Intelligence and Robotics, Dynamics and Dynamical Systems, Geomorphology, Geophysics and Seismology, Geotechnical Engineering, Multivariate Analysis, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Planetary Geomorphology, Planetary Geophysics and Seismology, Risk Analysis
Cascading slope failures in alpine environments are intensifying as glaciers retreat and slope stability adjusts to a warming climate. Yet, the mechanisms governing such large, rapidly evolving events remain poorly understood. The 28 May 2025 rock–ice avalanche from Birch Glacier, Switzerland ($\approx9.3\times10^{6}~\mathrm{m^3}$), which devastated part of the village of Blatten, provides a [...]
PaleoEurope-DEM v1.0: A distributed pipeline for continental-scale paleo-landscape reconstruction from FABDEM-GEBCO fusion and glacial isostatic adjustment
Published: 2026-03-01
Subjects: Geology, Glaciology, Numerical Analysis and Scientific Computing
Reconstructing paleo-landscapes at high spatial resolution is essential for understanding Quaternary environmental change, yet no open-source, reproducible pipeline currently exists for fusing modern elevation data with glacial isostatic adjustment (GIA) models at continental scale. We present PaleoEurope-DEM v1.0, a distributed processing pipeline that produces continuous topo-bathymetric [...]
Systematic Evaluation of the Influence of Camera Placement and Settings on the Quality of Photogrammetric Models of Rocks
Published: 2026-02-05
Subjects: Geology, Numerical Analysis and Scientific Computing, Other Computer Sciences, Other Physical Sciences and Mathematics
Despite the widespread adoption of photogrammetry across diverse disciplines, the relative influences of image acquisition parameters on the quality of photogrammetric models are seldom quantitatively understood. To address this, we conducted experiments under controlled lighting conditions, camera positions, and camera settings and evaluated the quality of the resultant models using both a [...]
Hybrid Physics–AI Ecosystem Simulations Improve Biogeochemical Predictions in Temperate Shelf Seas
Published: 2026-02-03
Subjects: Artificial Intelligence and Robotics, Biochemistry, Biogeochemistry, Environmental Health and Protection, Environmental Indicators and Impact Assessment, Environmental Monitoring, Marine Biology, Numerical Analysis and Scientific Computing, Oceanography, Planetary Biogeochemistry, Terrestrial and Aquatic Ecology
Biogeochemical models form a core part of marine forecasting and climate projections, yet they suffer from persistent biases in predicting key ecosystem variables, creating challenges across regional and global scales. To address this, we developed an AI-augmented three-dimensional hybrid framework that integrates machine-learning corrections directly into a process-based model’s productivity [...]
Unconformity-related rare earth element mineral potential of Australia
Published: 2026-01-28
Subjects: Geology, Numerical Analysis and Scientific Computing, Other Earth Sciences
Heavy rare earth elements are critical for the transition to net zero in addition to being key to manufacturing defence technologies. Unconformity-related rare earth element (REE) deposits represent an important source of heavy rare earth elements (HREE), including key elements such as dysprosium (Dy) and terbium (Tb). Given the strategic importance of these critical minerals to the national [...]
Smoothing Earth’s surface: the complexity of soil texture class transitions
Published: 2026-01-27
Subjects: Applied Statistics, Dynamical Systems, Dynamic Systems, Environmental Sciences, Non-linear Dynamics, Numerical Analysis and Computation, Numerical Analysis and Scientific Computing, Ordinary Differential Equations and Applied Dynamics, Soil Science, Statistical Models, Statistical, Nonlinear, and Soft Matter Physics
Soil depth functions are essential for analysing, modeling, understanding and visualising soil profiles. While robust methods existed for continuous properties, soil texture is typically reported as discrete classes, and no established approach exists to interpolate soil categorical information with depth. Here, we introduced phySplines, a physics-informed, analytically solvable spline for [...]
Hybrid Neural PDE and Conditional GAN Framework for Sparse Co₂ Plume Prediction.
Published: 2025-12-03
Subjects: Geophysics and Seismology, Numerical Analysis and Scientific Computing
Digital twin architectures for geological carbon storage demand uncertainty-aware surrogates capable of rapid plume forecasting under extreme data scarcity. Traditional physics-based simulators are computationally expensive; pure data-driven models lack principled uncertainty quantification. This work presents a hybrid Neural Posterior Density Estimation–Conditional GAN (NPDE-CCGAN) framework [...]
FluvDepoSet: A dataset of synthetic 3D models of fluvial deposits
Published: 2025-10-15
Subjects: Geology, Geomorphology, Numerical Analysis and Scientific Computing, Sedimentology, Stratigraphy
Sediments deposited by rivers constitute a key source for the water, energy, and raw materials that fuel our everyday lives. To find and manage these resources, we need to predict the spatial distribution of those fluvial deposits in the subsurface. This remains a major challenge due to the scarcity and poor quality of subsurface data, but also because traditional modeling approaches struggle to [...]
Advancing Long-Horizon Hydrological Forecasting: A Mamba-based Approach with Explainable AI for Generalized Streamflow Prediction
Published: 2025-09-02
Subjects: Environmental Engineering, Environmental Monitoring, Hydraulic Engineering, Hydrology, Numerical Analysis and Scientific Computing
Accurate long-horizon streamflow forecasting is crucial for water resource management, but existing models often face efficiency and interpretability challenges. This study comprehensively evaluates the Mamba architecture, which utilizes State Space Models for efficient sequence processing, for 120-hour hourly generalized streamflow prediction across 125 diverse Iowa watersheds using 72-hour [...]
Assessing inversion uncertainty from initial-model variability in 3-D magnetotelluric inversion: Application to a geothermal field
Published: 2025-08-19
Subjects: Computational Engineering, Geophysics and Seismology, Geotechnical Engineering, Numerical Analysis and Scientific Computing, Power and Energy
Magnetotelluric (MT) inversion is widely used to image subsurface electrical resistivity structures, but three-dimensional (3-D) MT inversion is inherently non-unique, and the resulting models can depend strongly on the choice of the initial model. Despite this well-known sensitivity, systematic evaluation of initial-model-induced variability remains uncommon in practical 3-D MT studies due to [...]