Tootfinder

A Direct Approach for Detection of Bottom Topography in Shallow Water
Lamsahel Noureddine, Carole Rosier
https://arxiv.org/abs/2510.03505 https://arxiv.org…

A Direct Approach for Detection of Bottom Topography in Shallow Water
We propose a fast, stable, and direct analytic method to detect underwater channel topography from surface wave measurements, based on one-dimensional shallow water equations. The technique requires knowledge of the free surface and its first two time derivatives at a single instant $t^{\star}$ above the fixed, bounded open segment of the domain. We first restructure the forward shallow water equations to obtain an inverse model in which the bottom profile is the only unknown, and then discreti…

Neural Field-Based 3D Surface Reconstruction of Microstructures from Multi-Detector Signals in Scanning Electron Microscopy
Shuo Chen, Yijin Li, Xi Zheng, Guofeng Zhang
https://arxiv.org/abs/2508.04728

Neural Field-Based 3D Surface Reconstruction of Microstructures from Multi-Detector Signals in Scanning Electron Microscopy
The scanning electron microscope (SEM) is a widely used imaging device in scientific research and industrial applications. Conventional two-dimensional (2D) SEM images do not directly reveal the three-dimensional (3D) topography of micro samples, motivating the development of SEM 3D surface reconstruction methods. However, reconstruction of complex microstructures remains challenging for existing methods due to the limitations of discrete 3D representations, the need for calibration with refere…

DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation
Aoming Liang, Qi Liu, Weicheng Cui
https://arxiv.org/abs/2509.00007 https://

DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation
Inferring seabed topography from wave height observations is fundamental to tsunami hazard assessment, coastal planning, and large scale ocean circulation modeling. Classical inversion models typically rely on direct sensing or optimization based schemes that must contend with the strongly nonlinear coupling between free surface dynamics and topography. However, data driven approaches are capable of tackling strongly nonlinear problems by learning the underlying data distributions. This study i…

Ice-free geomorphometry of Enderby Land, East Antarctica: 2. Coastal oases
I. V. Florinsky, S. O. Zharnova
https://arxiv.org/abs/2509.05141 https://arxiv.o…

Ice-free geomorphometry of Enderby Land, East Antarctica: 2. Coastal oases
Geomorphometric modeling and mapping of ice-free Antarctic areas can be applied for obtaining new quantitative knowledge about the topography of these unique landscapes and for the further use of morphometric information in Antarctic research. Within the framework of a project of creating a physical geographical thematic scientific reference geomorphometric atlas of ice-free areas of Antarctica, we performed geomorphometric modeling and mapping of five key coastal oases of Enderby Land, East An…

Tidally dominated flows past a three-dimensional topography: Wake vortices, turbulence, and mixing
H. M. Aravind, Pranav Puthan, Sutanu Sarkar, Sophia Merrifield, Eric Terrill
https://arxiv.org/abs/2508.21306

Tidally dominated flows past a three-dimensional topography: Wake vortices, turbulence, and mixing
Oceanic turbulence influences the transport and mixing of freshwater, heat, nutrients, and other biogeochemical tracers. It also has broader implications for oceanic and atmospheric circulations. Tides contribute substantially to the mechanically driven turbulent ocean mixing through the internal waves resulting from tide-topography interactions. Tidal currents also drive turbulent wakes and shear layers when the topography is 3D. The hypothesis that seamounts are the ``stirring rods'' of the o…

Time-domain pressure and surface wave propagation over generic topography due to sea floor motion
Ravindra Pethiyagoda, Santu Das, Michael H. Meylan
https://arxiv.org/abs/2509.23377

Time-domain pressure and surface wave propagation over generic topography due to sea floor motion
The surface gravity wave evolution, imitating tsunamis triggered by the ocean floor's arbitrary temporal motion over a generic seafloor topography, is investigated using the linearised water wave theory of a compressible ocean. The unprecedented details of pressure wave bounce between the water surface and ocean floor, followed by the generation of acoustic-gravity wave (AGW) propagation away from the initial disturbance, are shown for the first time. The computational novelty covers accurate p…

Intermediate diffusive-ballistic electron conduction around mesoscopic defects in graphene
Toni Markovic, Wei Huang, William S. Huxter, Pietro Gambardella, Sebastian Stepanow
https://arxiv.org/abs/2510.01821

Intermediate diffusive-ballistic electron conduction around mesoscopic defects in graphene
Non-diffusive effects in charge transport become relevant as device sizes and features become comparable to the electronic mean free path. As a model system, we investigate the electric transport around mesoscopic defects in graphene with scanning tunneling potentiometry. Diffusive and ballistic contributions to the scattering dipole are probed by simultaneously resolving the nanoscale topography of pits in the graphene layer and measuring the local electrochemical potential in the surrounding …

Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data
Bayu Adhi Tama, Homayra Alam, Mostafa Cham, Omar Faruque, Jianwu Wang, Vandana Janeja
https://arxiv.org/abs/2509.08571

Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data
Accurate maps of Greenland's subglacial bed are essential for sea-level projections, but radar observations are sparse and uneven. We introduce GraphTopoNet, a graph-learning framework that fuses heterogeneous supervision and explicitly models uncertainty via Monte Carlo dropout. Spatial graphs built from surface observables (elevation, velocity, mass balance) are augmented with gradient features and polynomial trends to capture both local variability and broad structure. To handle data gaps, w…

InWaveSR: Topography-Aware Super-Resolution Network for Internal Solitary Waves
Xinjie Wang, Zhongrui Li, Peng Han, Chunxin Yuan, Jiexin Xu, Zhiqiang Wei, Jie Nie
https://arxiv.org/abs/2509.14243

InWaveSR: Topography-Aware Super-Resolution Network for Internal Solitary Waves
The effective utilization of observational data is frequently hindered by insufficient resolution. To address this problem, we present a new spatio-temporal super-resolution (STSR) model, called InWaveSR. It is built on a deep learning framework with physical restrictions and can efficiently generate high-resolution data from low-resolution input, especially for data featuring internal solitary waves (ISWs). To increase generality and interpretation, the model InWaveSR uses the primitive Navier…

End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
Haider Al-Tahan, Mayukh Deb, Jenelle Feather, N. Apurva Ratan Murty
https://arxiv.org/abs/2509.24039

End-to-end Topographic Auditory Models Replicate Signatures of Human Auditory Cortex
The human auditory cortex is topographically organized. Neurons with similar response properties are spatially clustered, forming smooth maps for acoustic features such as frequency in early auditory areas, and modular regions selective for music and speech in higher-order cortex. Yet, evaluations for current computational models of auditory perception do not measure whether such topographic structure is present in a candidate model. Here, we show that cortical topography is not present in the …

An inverse problem for linear system of dispersive equations
Deissy Marcela Pizo, Juan Carlos Mu\~noz Grajales
https://arxiv.org/abs/2509.21524 https://arx…

An inverse problem for linear system of dispersive equations
This paper addresses the inverse problem of identifying the linear velocity coefficient in a linear system governed by two Benjamin-Bona-Mahony-type equations, which model the displacement of water waves propagating along the surface of a shallow channel, incorporating effects of dispersion and topography. To solve this, we reformulate the inverse problem as a restricted minimization problem (RMP), aimed at optimizing a suitably regularized objective functional. We use numerical techniques, spe…

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
Jordan Brook, Hamish McGowan, Matt Mason, Joshua Soderholm, Alain Protat
https://arxiv.org/abs/2509.02929

The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)
We present the Australian Identification, Nowcasting and Tracking (AINT) algorithm, a radar-based system for detecting, characterising, and archiving thunderstorm activity across the Australian continent. AINT employs a two-step hysteresis-based identification scheme to separate embedded convective cells, followed by a phase-correlation and optimisation framework for storm tracking and cell matching. Post-processing routines address challenges of ground clutter using clustering and topography-a…

A comparative analysis of the effect of bobbin topography in the transmission performance capability of Hybrid corrugated plane type transmission surface for MR Clutches
Loyad Joseph Losan, Saddala Reddy Tharun, Jithin Vijaykumar, Murthi Ram Chandra Reddy, Mood Rahul, Jagadeesha T
https://arxiv.org/abs/2509.13611

A comparative analysis of the effect of bobbin topography in the transmission performance capability of Hybrid corrugated plane type transmission surface for MR Clutches
Magneto-Rheological (MR) fluid based devices work on the principle of changing the rheological properties of MR fluid (MRF) using magnetic field excitation generated from an electromagnet. The electromagnet is usually created with the aid of copper coils wound on a low magnetic permeable spindle structure referred to as bobbin. In this paper, an attempt has been made to investigate the different bobbin configurations and its effect on the torque transmissibility of a MR clutch (MRC). A hybrid c…

Existence and numerical approximation of a one-dimensional Boussinesq system with variable coefficients on a finite interval
Juan Carlos Mu\~noz Grajales, Deissy Marcela Pizo
https://arxiv.org/abs/2510.10829

Existence and numerical approximation of a one-dimensional Boussinesq system with variable coefficients on a finite interval
In this paper, we investigate the well-posedness of a nonlinear dispersive model with variable coefficients that describes the evolution of surface waves propagating through a one-dimensional shallow water channel of finite length with irregular bottom topography. To complement the theoretical analysis, we utilize the numerical solver developed by the authors in \cite{PizoMunoz} to approximate solutions of the model on a finite spatial interval, considering various parameter values and forms of…

Crosslisted article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- Tidally dominated flows past a three-dimensional topography: Wake vortices, turbulence, and mixing
H. M. Aravind, Pranav Puthan, Sutanu Sarkar, Sophia Merrifield, Eric Terrill

Slantwise convection and heat transport in the icy moon oceans
Yaoxuan Zeng, Malte F. Jansen
https://arxiv.org/abs/2508.06480 https://arxiv.org/pdf/2508.06…

Slantwise convection and heat transport in the icy moon oceans
Ocean heat transport on icy moons shapes the ice shell topography, a primary observable of these moons. Two key processes control the heat transport: baroclinic instability driven by surface buoyancy contrasts and convective instability driven by heating from the core. However, global ocean simulations cannot accurately resolve convection under realistic icy moon conditions and instead often use Earth-based convective parameterizations, which capture only vertical convective mixing and cannot r…

Radiolunadiff: Estimation of wireless network signal strength in lunar terrain
Paolo Torrado, Anders Pearson, Jason Klein, Alexander Moscibroda, Joshua Smith
https://arxiv.org/abs/2509.14559

Radiolunadiff: Estimation of wireless network signal strength in lunar terrain
In this paper, we propose a novel physics-informed deep learning architecture for predicting radio maps over lunar terrain. Our approach integrates a physics-based lunar terrain generator, which produces realistic topography informed by publicly available NASA data, with a ray-tracing engine to create a high-fidelity dataset of radio propagation scenarios. Building on this dataset, we introduce a triplet-UNet architecture, consisting of two standard UNets and a diffusion network, to model compl…

Entropy-Stable Discontinuous Spectral-Element Methods for the Spherical Shallow Water Equations in Covariant Form
Tristan Montoya, Andr\'es M. Rueda-Ram\'irez, Gregor J. Gassner
https://arxiv.org/abs/2509.08790

Entropy-Stable Discontinuous Spectral-Element Methods for the Spherical Shallow Water Equations in Covariant Form
We introduce discontinuous spectral-element methods of arbitrary order that are well balanced, conservative of mass, and conservative or dissipative of total energy (i.e., a mathematical entropy function) for a covariant flux formulation of the rotating shallow water equations with variable bottom topography on curved manifolds such as the sphere. The proposed methods are based on a skew-symmetric splitting of the tensor divergence in covariant form, which we implement and analyze within a gene…

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Ajay Bankar, Praveenkumar Venkatesan, Rakesh V, Gaurav Chopra, R I Sujith
https://arxiv.org/abs/2509.20778

Evaluation of High-Resolution Gridded Precipitation Datasets Against a Dense Rain Gauge Network During the Indian Summer Monsoon
Advancements in remote sensing have led to development of several satellite-derived precipitation products; however, their accuracy must be evaluated before use in scientific and operational studies. This study comprehensively assesses six widely used datasets PERSIANN CCS, CHIRPS, MSWEP, IMERG, AgERA5, and GSMaP ISRO against a dense rain gauge network across Karnataka, a southern Indian state characterized by diverse climatic conditions and complex topography. The analysis focuses on the India…

Ice-free geomorphometry of Queen Maud Land, East Antarctica: 1. S\^oya Coast
I. V. Florinsky, S. O. Zharnova
https://arxiv.org/abs/2508.10462 https://arxiv…

Ice-free geomorphometry of Queen Maud Land, East Antarctica: 1. Sôya Coast
Geomorphometric modeling and mapping of ice-free Antarctic areas is promising for obtaining new quantitative knowledge about the topography of these unique landscapes and for the further use of morphometric information in Antarctic research. Within the framework of a project of creating a physical geographical thematic scientific reference geomorphometric atlas of ice-free terrains of Antarctica, we performed geomorphometric modeling and mapping of key ice-free areas of the Sôya Coast (the eas…

Evaluation of Analytical Turbulence Closures for Quasi-Geostrophic Ocean Flows with Coastal Boundaries
Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. Lermusiaux
https://arxiv.org/abs/2508.06678

Evaluation of Analytical Turbulence Closures for Quasi-Geostrophic Ocean Flows with Coastal Boundaries
Numerical turbulence simulations typically involve parameterizations such as Large Eddy Simulations (LES). Applications to geophysical flows, especially ocean flows, are further complicated by the presence of complex topography and interior landforms such as coastlines, islands, and capes. In this work, we extend pseudo-spectral quasi-geostrophic (QG) numerical schemes and GPU-based solvers to simulate flows with coastal boundaries using the Brinkman volume penalization approach. We incorporate…

Tidally Induced Turbulence in the Abyssal Ocean
Yidongfang Si, Raffaele Ferrari, Gunnar Voet
https://arxiv.org/abs/2509.05869 https://arxiv.org/pdf/2509.05…

Tidally Induced Turbulence in the Abyssal Ocean
It has been suggested that the upwelling branch of the abyssal overturning circulation is characterized by strong flows driven by turbulence along sloping topography. The Boundary Layer Turbulence field campaign has provided direct evidence for strong upslope flows along a deep submarine canyon of the Rockall Trough. Turbulent overturning events spanning 200 m in the vertical were observed every tidal cycle, suggesting that the strong tidal flows in the canyon periodically undergo some form of …