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Preprints

Filtering by Subject: Fluid Dynamics

Deep Neural Network-Based Inversion of Turbidites in Confined Basins

Seiya Fujishima, Hajime Naruse

Published: 2026-07-11
Subjects: Artificial Intelligence and Robotics, Fluid Dynamics, Geology, Sedimentology

Turbidites generated by large earthquakes and other geological events are commonly preserved in small, topographically confined basins along active continental margins. Reconstructing flow conditions from these deposits is essential for assessing past hazards; however, existing inverse models have been validated only for unconfined settings, and their applicability to confined basins remains [...]

A machine learning approach for detecting biofouling in oceanographic data

Ourania Giannopoulou

Published: 2026-07-11
Subjects: Artificial Intelligence and Robotics, Fluid Dynamics, Numerical Analysis and Computation, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics

Autonomous ocean observing platforms collect long-term biogeochemical time series, but sensor degradation from biofouling introduces progressive biases that contaminate the climate record. This work focuses on the BGC-Argo fleet of profiling floats, where optical sensors measuring chlorophyll-a and backscatter are particularly susceptible to biofouling. Current detection relies on per-float [...]

Modification of Antarctic geothermal heat flux by groundwater flow

Gabriel Cairns, Graham Benham, Ian Hewitt

Published: 2026-06-13
Subjects: Fluid Dynamics, Glaciology

The geothermal heat flux to the bed of the ice in Antarctica is important for ice flow and basal meltwater production, but is also highly uncertain. In particular, it is thought that groundwater flow in sedimentary basins could modify the geothermal heat flux to the ice bed by advecting heat, but this process is unaccounted for in current models. In this paper, we develop a mathematical model to [...]

Modelling the Evolution of Elliptical Röthlisberger Channels

Isaac Brown, Katarzyna L P Warburton, Jerome Neufeld

Published: 2026-06-12
Subjects: Fluid Dynamics, Glaciology, Other Mathematics

Subglacial water flow is critical to basal sliding and ice dynamics. Modelling the coupled evolution of subglacial drainage and ice flow remains challenging, however. This study investigates the evolution of the basal ice-water interface by analysing heat and fluid flow in idealised englacial channels. We extend the classical Röthlisberger model for circular channels to elliptical channel [...]

Trapped Lee-Wave Resonance Determines Antarctic Megadune Wavelength

Shannon T. Wong

Published: 2026-05-23
Subjects: Applied Statistics, Categorical Data Analysis, Design of Experiments and Sample Surveys, Earth Sciences, Fluid Dynamics, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Mineral Physics, Other Earth Sciences, Paleontology, Physics, Planetary Geology, Planetary Geomorphology, Planetary Geophysics and Seismology, Planetary Glaciology, Planetary Hydrology, Planetary Mineral Physics, Planetary Sciences, Planetary Sedimentology, Sedimentology, Statistical Methodology, Statistical Models, Statistics and Probability, Stratigraphy

Snow megadunes cover 5×105 km2 of the East Antarctic plateau, biasing surface mass balance estimates and overprinting ice-core signals—yet their 2–5 km wavelength has lacked a quantitative selection mechanism for two decades. We first falsify the standard formula λ∗ = 2πU0/N through a calibration-free spatial test: eight REMA 2 m tiles across two independent locations at 81.5–82.0°S show no [...]

Learning unresolved coastal dynamics in hydrodynamic models

Thomas Carey Monahan, Jeff Polton, Silvia Innocenti, et al.

Published: 2026-05-02
Subjects: Fluid Dynamics, Oceanography

Coastal hydrodynamic models play a vital role in understanding and predicting flooding, but practical computational constraints and uncertainties in boundary conditions and bathymetry lead to systematic errors in local sea level. We show that much of this error is not random but reflects a stable, site-specific response that can be learned from model output and observations. We develop a [...]

A prescribed wave probe reveals phase hidden vortex force memory in turbulence

Guoqiang Liu, Maryam AlShehhi

Published: 2026-04-16
Subjects: Fluid Dynamics, Physical Sciences and Mathematics

Phase averaging closes the equations of multi scale flows by removing bilinear couplings with vanishing one time means. Their two time correlations can still survive. We test this distinction for waves passing through turbulence. We study the stochastic vortex force in direct numerical simulation of homogeneous isotropic turbulence. This wave vorticity coupling is removed by classical phase [...]

Fluctuation-induced dissipation for ocean surface waves

Guoqiang Liu, Maryam AlShehhi

Published: 2026-03-22
Subjects: Fluid Dynamics, Oceanography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Physics, Statistical, Nonlinear, and Soft Matter Physics

Phase averaging is a one-time operation. Irreversibletransport is not.Here we identify a coupling hidden in the Navier-Stokesequations for surface waves propagating through turbulencewhose one-time phase average vanishes but whose two-timeautocorrelation yields a finite Green-Kubo frictioncoefficient.Classical phase averaging removes this stochastic vortexforce, the bilinear coupling between wave [...]

A Comparative Evaluation of Advanced Urban Data Methods in WRF

Jacobo Gabeiras, Chantal Staquet, Charles Chemel, et al.

Published: 2025-10-18
Subjects: Atmospheric Sciences, Fluid Dynamics, Meteorology, Oceanography and Atmospheric Sciences and Meteorology

Urban parameterization is critical for accurately simulating near-surface temperature and the Urban Heat Island (UHI) effect in WRF. In this study, we compare three distinct approaches—W2W (a Python package integrating WUDAPT LCZ data), WRFUP (a Python package leveraging global high-resolution datasets), and a LiDAR-based parameterization—during the August, 2023 heatwave in Grenoble, France. Our [...]

Evaluating Urban Heat Adaptation Strategies for Extreme Heatwaves in Complex Terrain: A Case Study of Grenoble, France

Jacobo Gabeiras, Chantal Staquet, Charles Chemel, et al.

Published: 2025-10-18
Subjects: Atmospheric Sciences, Climate, Fluid Dynamics, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Other Oceanography and Atmospheric Sciences and Meteorology, Physics

Urban heat adaptation strategies are critical for mitigating the impacts of ex- treme heat events in cities, particularly as climate change exacerbates their intensity and frequency. This study evaluates a set of adaptation strategies during the 2023 heatwave in Grenoble, France, using the WRF model with the BEP+BEM urban canopy scheme. Eight scenarios are simulated, including increased [...]

Nonlinear longitudinal stress coupling in glacier and ice sheet flow

Logan Elliott Mann, Colin R. Meyer, Katarzyna L P Warburton

Published: 2025-09-18
Subjects: Applied Mathematics, Fluid Dynamics, Glaciology, Non-linear Dynamics

The Greenland and Antarctic Ice sheets exhibit high variability in flow speed, over multiple orders of magnitude. Faster flow in ice streams, marine terminating glaciers, and ice shelves is described by the Shallow Shelf/Shelfy-Stream Approximation (SSA), which requires a nonlocal balance between driving stress, friction at the ice-bed interface, and longitudinal/membrane stresses. Nonlocal [...]

High-Resolution Simulation of the Urban Heat Island Effect in Grenoble During the 2018 Heatwave: Evaluating WRF Model Configurations

Jacobo Gabeiras, Chantal Staquet, Charles Chemel, et al.

Published: 2025-08-21
Subjects: Atmospheric Sciences, Climate, Fluid Dynamics, Meteorology, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Physics

This study investigates the Urban Heat Island (UHI) effect in Grenoble, France, during the August 2018 heatwave, using high-resolution Weather Research and Forecasting (WRF) simulations at 111 meters. The objective is to evaluate at this resolution the capac- ity of different WRF urban parameterizations such as the Building Effect Parameterization (BEP) and Building Energy Model (BEM), to [...]

WRFUP: A Python Package to Enhance Urban Simulations

Jacobo Gabeiras, Chantal Staquet, Charles Chemel, et al.

Published: 2025-08-21
Subjects: Atmospheric Sciences, Databases and Information Systems, Fluid Dynamics, Meteorology, Physical Sciences and Mathematics, Physics

WRFUP is a Python package designed to enhance urban climate modeling in the Weather Research and Forecasting (WRF) model by automating the sourcing and ingestion of high-resolution urban morphology data. This package calculates crucial urban canopy parameters—URB_PARAM and FRC_URB2D—enabling precise simulations for advanced urban canopy parameterizations like SLUCM, BEP, and BEP+BEM. This tool [...]

wave-attenuation-1d: An idealized one-dimensional framework for wave attenuation through coastal vegetation using Numba-accelerated shallow water equations

Sandy Hardian Susanto Herho, Iwan Pramesti Anwar, Faruq Khadami, et al.

Published: 2025-08-06
Subjects: Applied Mechanics, Environmental Engineering, Fluid Dynamics, Numerical Analysis and Computation, Oceanography

Coastal vegetation provides crucial wave attenuation for shoreline protection, yet existing models are either computationally prohibitive or lack transparency for educational purposes. This study presents wave-attenuation-1d, an open-source Python package implementing linearized shallow water equations with vegetation-induced drag to simulate wave propagation through coastal vegetation. The [...]

Turbulent Snow Transport and Accumulation: New Reduced-Order Models and Diagnostics

Nikolas Olson Aksamit, Alex P. Encinas-Bartos, Holt Hancock, et al.

Published: 2025-05-14
Subjects: Atmospheric Sciences, Dynamical Systems, Fluid Dynamics, Glaciology, Hydrology, Meteorology, Non-linear Dynamics

Understanding and modeling snow particle dynamics in the atmosphere remains a significant challenge for atmospheric scientists, hydrologists, and glaciologists. Temporally and spatially varying rates of snow transport, deposition, and erosion are driven by atmospheric turbulence and further complicated by inertial particle dynamics. Even with perfectly resolved wind fields, accurately predicting [...]

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