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Preprints

Filtering by Subject: Physical Sciences and Mathematics

IGM: an accessible, modular, differentiable, and GPU-accelerated high-order ice flow model

Guillaume Jouvet, Brandon Finley, Thomas Gregov, et al.

Published: 2026-06-28
Subjects: Physical Sciences and Mathematics

We present the Instructed Glacier Model (IGM, v3.2), an open-source framework for simulating glacier evolution from single-glacier to mountain-range scales. IGM is built on a single design principle: all physical processes, including ice flow, surface mass balance, thermodynamics, and mass conservation, are expressed as short sequences of operations on raster grids. This workflow runs natively on [...]

Direct Dating of Lithic Cuts Using Cosmogenic Nuclides: A Methodological Proposal to Establish the Construction Chronology of Megalithic Megastructures

Eduardo Antonio Ventura-Muñoz

Published: 2026-06-28
Subjects: Earth Sciences, Physical Sciences and Mathematics

ABSTRACT The chronology of megalithic megastructures is currently established through the analysis of organic matter — charcoal, bone, fibers — found in proximity to the constructions. This method dates the most recently documented human presence in the vicinity of a structure. It does not date the act of construction. If a temporal gap existed between the moment of construction and the moment of [...]

Denoising teleseismic data for deep Earth studies using a supervised deep-learning auto-encoder: a case study of diffracted waves from ULVZs

Stuart Russell, Katrin Hannemann, Carl Martin, et al.

Published: 2026-06-27
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Seismic noise, particularly the microseism generated by the oceans, is a fundamental limitation on using short period (1 - 10 s) teleseismic data to study the deep Earth. Deep learning auto-encoders have proven effective at denoising seismic data in other applications. Here, we provide a demonstration of their potential for improving the quality of deep Earth seismic data, using Sdiff [...]

Analytical prediction of active-layer thaw and subsidence under seasonal thermal forcing: application to Svalbard permafrost

Land Mccormick, Dina Schmidt

Published: 2026-06-26
Subjects: Engineering, Physical Sciences and Mathematics

Seasonal thaw of the active layer and the resulting ground subsidence strongly influence Arctic hydrology, soil-carbon release, and the stability of northern infrastructure. Lunardini (1987) derived an exact similarity solution for one-dimensional thaw in frozen soil that consolidates as it thaws. Although physically elegant, the solution has remained difficult to use in practice: usable limiting [...]

Automated landslide detection in SAR wrapped interferograms using a geomorphology-constrained YOLO CNN

Alessandro Cesare Mondini, Alessandro Simoni, Fabio Bovenga, et al.

Published: 2026-06-26
Subjects: Physical Sciences and Mathematics

Slow-moving landslides pose significant hazards in mountain environments, requiring improved detection and monitoring capabilities. Traditional mapping is accurate but time-consuming, while multitemporal InSAR approaches are limited by data complexity and velocity constraints. Wrapped dual-pass DInSAR interferograms offer an alternative by preserving deformation signals without phase unwrapping, [...]

Model Construction and Retrospective Validation of Large Earthquake Prediction

Zhiyong Zhu

Published: 2026-06-26
Subjects: Physical Sciences and Mathematics

Based on the hypothesis that gravity-driven crustal displacement generates earthquakes and facilitates crustal material migration, and following the general law that the velocity of generalized flow in a steady-state system is proportional to the driving force and inversely proportional to the system’s internal resistance, a relationship between the frequency of large earthquakes and crustal [...]

Uniform automated analysis of Sdiff splitting due to lowermost mantle anisotropy: Caveats and curated global dataset

Alex Sun, Jonathan Wolf, Barbara Romanowicz, et al.

Published: 2026-06-25
Subjects: Physical Sciences and Mathematics

Seismic anisotropy, the dependence of seismic wave speeds on the direction of propagation and/or polarization, places crucial constraints on deformation and convective flow in the lowermost mantle (the D″ layer). Shear waves that diffract along the core-mantle boundary (CMB) are ideally suited for probing this region due to their long horizontal ray paths in the lowermost mantle. However, the [...]

Glacier thickness, thermal regime, and subjective uncertainty from ground-penetrating radar of 25 Svalbard glaciers

Erik Schytt Mannerfelt, Ursula Enzenhofer, Satu Innanen, et al.

Published: 2026-06-25
Subjects: Earth Sciences, Glaciology, Physical Sciences and Mathematics

Glacier thickness and thermal regime control glacier dynamics and long-term evolution, but observations are sparse at regional scales. Both can be measured using ground-penetrating radar (GPR), which requires manual or automated interpretation. Interpretation often depends on more than signal waveform analysis alone, and this subjectivity has not been thoroughly quantified before. We present 699 [...]

Dust–Cloud Vertical Configurations Influence the Effective Radius of Low-Level Warm Clouds over Marine and Continental Environments

Guoqing Gong, Adeyemi A Adebiyi

Published: 2026-06-25
Subjects: Physical Sciences and Mathematics

Aerosol–cloud interactions remain a major source of uncertainty in climate forcing estimates, partly because cloud responses depend on the location of aerosols relative to clouds; yet for mineral dust, which accounting for about two-thirds of all aerosol mass, the effects of dust–cloud vertical configuration on cloud droplet effective radius remain unclear. Using multi-year observations from the [...]

Large-Scale Mapping and Graph-Theoretic Characterization of Arctic Tundra Capillary Networks From Submeter Satellite Imagery

Michael Pimenta, Chandi Witharana, Amal Perera, et al.

Published: 2026-06-23
Subjects: Physical Sciences and Mathematics

Abstract— Tundra capillary networks (TCNs) are visible surface-drainage features associated with ice-wedge polygon terrain that can influence lateral surface-water redistribution across Arctic landscapes. However, TCN systems remain poorly characterized at regional scales because their narrow morphology, variable surface expression, and submeter scale have limited the development of scalable [...]

Where to Watch the Water: Multi-Sensor Network Design Optimization for Inland Flood Detection

Basit Akinwumi Akinade, Amobichukwu Chukwudi Amanambu, Lisa Davis

Published: 2026-06-23
Subjects: Earth Sciences, Environmental Sciences, Geomorphology, Hydrology, Physical Sciences and Mathematics, Water Resource Management

Inland flood detection is often constrained less by sensor availability than by where sensors are placed along branching river networks, especially in ungauged headwaters where floods often initiate. We present a three-phase, decisionfocused framework for designing basin-by-basin multi-sensor flood detection networks that coordinate water-level, discharge, and camera sensors while explicitly [...]

Earthquakes Source Scaling at Subfault Scales

Margarita M. Solares-Colón, Diego Melgar

Published: 2026-06-23
Subjects: Earth Sciences, Geophysics and Seismology, Physical Sciences and Mathematics

Establishing scaling laws for large earthquakes remains challenging due to the heterogeneity of methodologies and datasets used to produce finite-fault models. In this study, we analyze source properties for 264 earthquakes using the NEIC finite-fault database, expanding previous efforts by examining rupture behavior over a broader magnitude range and capturing both established scaling trends and [...]

Creating story lines on floods: relating climate-change uplift to (extreme) experienced and future flooding events

Onno Bokhove, Natasha Pullan

Published: 2026-06-22
Subjects: Engineering, Physical Sciences and Mathematics

Fluvial flooding remains one of the most significant climate-related hazards worldwide, with its impacts intensified by increasing urbanisation, land-use change, and climate change. We apply the flood-excess volume (FEV) methodology to analyse major recent flood events on the River Aire in Leeds, UK, and specifically to the 2015 Boxing Day and February 2020 floods, as a basis for evaluating the [...]

Detecting Harmful Algal Blooms in the Gulf of Maine using a Hybrid Model

Kunal J. Rathore, John H. Buckner, James R. Watson

Published: 2026-06-22
Subjects: Engineering, Physical Sciences and Mathematics

Harmful algal blooms are a growing threat to marine ecosystems, aquaculture, public health and tourism industries. This study quantifies the value of augmenting simulated outputs of a regional hydrodynamic model with satellite data input to detect harmful algal blooms using machine learning model in Gulf of Maine. And evaluates performance using in-situ Imaging FlowCytobot observations spanning [...]

Stress triggering in a rain-induced earthquake swarm in the Palghar region, western India

Himangshu Paul, M Shekar

Published: 2026-06-20
Subjects: Earth Sciences, Physical Sciences and Mathematics

Rain-triggered seismicity has been reported only in a few regions globally and is typically short-lived. However, an earthquake swarm, inferred to be rain-induced in previous studies, persisted with intense activity for over two years in Palghar, western India. Between January 2019 and November 2020, ~8,300 well-located earthquakes with horizontal and depth uncertainties ≤ 1.5 km were recorded at [...]

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