Cover Image

Bayesian inference for geophysical fluid dynamics using generative models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lobbe, Alexander, Crisan, Dan, Lang, Oana
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis Dynamical Systems 68T05, 76M35
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generative Modelling of Stochastic Rotating Shallow Water Noise
by: Crisan, Dan, et al.
Published: (2024)

Random vortex and expansion-rate model for Oberbeck-Boussinesq fluid flows
by: Guo, Zihao, et al.
Published: (2024)

Random vortex dynamics and Monte-Carlo simulations for wall-bounded viscous flows
by: Cherepanov, Vladislav, et al.
Published: (2024)

Numerical simulation of dilute polymeric fluids with memory effects in the turbulent flow regime
by: Beddrich, Jonas, et al.
Published: (2024)

Random large eddy simulation for 3-dimensional incompressible viscous flows
by: Guo, Zihao, et al.
Published: (2024)

Neural Networks-based Random Vortex Methods for Modelling Incompressible Flows
by: Cherepanov, Vladislav, et al.
Published: (2024)

The vortex blob method as a second-grade non-Newtonian fluid
by: Oliver, Marcel, et al.
Published: (1999)

A hybrid-dimensional Stokes--Brinkman--Darcy model for arbitrary flows to the fluid--porous interface
by: Ruan, Linheng, et al.
Published: (2025)

Global solutions for stochastically controlled fluid dynamics models
by: Crisan, Dan, et al.
Published: (2024)

Tracking Brownian fluid particles in large eddy simulations
by: Guo, Zihao, et al.
Published: (2025)

Spline Shallow Water Moment Equations
by: Scholz, Ullika, et al.
Published: (2025)

A 3D Machine Learning based Volume Of Fluid scheme without explicit interface reconstruction
by: Pintore, Moreno, et al.
Published: (2025)

Experimental and computational comparison of freeze-thaw induced pressure generation in red and sugar maple
by: Zarrinderakht, Maryam, et al.
Published: (2021)

Surrogate-assisted global sensitivity analysis of a hybrid-dimensional Stokes--Brinkman--Darcy model
by: Ruan, Linheng, et al.
Published: (2026)

Effective permeabilities for flow through anisotropic microscopic geometries
by: Balazi, Loïc, et al.
Published: (2025)

Numerical Computations of Viscous, Incompressible Flow Problems Using a Two-Level Finite Element Method
by: Fairag, Faisal
Published: (2001)

Fully and semi-implicit robust space-time DG methods for the incompressible Navier-Stokes equations
by: da Veiga, L. Beirão, et al.
Published: (2025)

On a port-Hamiltonian formulation and structure-preserving numerical approximations for thermodynamic compressible fluid flow
by: Hauschild, Sarah-Alexa, et al.
Published: (2024)

Persistence of invariant manifolds for nonlinear PDEs
by: Jones, Don A., et al.
Published: (1998)

Space-time adaptive ADER-DG finite element method with LST-DG predictor and a posteriori sub-cell WENO finite-volume limiting for simulation of non-stationary compressible multicomponent reactive flows
by: Popov, I. S
Published: (2024)

Space-time adaptive ADER-DG finite element method with LST-DG predictor and a posteriori sub-cell ADER-WENO finite-volume limiting for multidimensional detonation waves simulation
by: Popov, I. S.
Published: (2024)

Physics-Informed Neural Networks: Bridging the Divide Between Conservative and Non-Conservative Equations
by: Neelan, Arun Govind, et al.
Published: (2025)

Mathematical modeling of micropolar fluid flows through a thin porous medium
by: Suárez-Grau, Francisco J.
Published: (2020)

Learning the Latent dynamics of Fluid flows from High-Fidelity Numerical Simulations using Parsimonious Diffusion Maps
by: Della Pia, Alessandro, et al.
Published: (2024)

Stokes-Brinkman-Darcy models for fluid-porous systems: derivation, analysis and validation
by: Ruan, Linheng, et al.
Published: (2024)

Differentiable DG with Neural Operator Source Term Correction
by: Kang, Shinhoo, et al.
Published: (2023)

A variational front-tracking method for multiphase flow with triple junctions
by: Garcke, Harald, et al.
Published: (2024)

A robust and stable hybrid neural network/finite element method for 2D flows that generalizes to different geometries
by: Jendersie, Robert, et al.
Published: (2026)

Self-adaptive physics-informed neural network for forward and inverse problems in heterogeneous porous flow
by: Aziz, Md. Abdul, et al.
Published: (2025)

Long-time accuracy of ensemble Kalman filters for chaotic and machine-learned dynamical systems
by: Sanz-Alonso, Daniel, et al.
Published: (2024)

Error analysis for the approximation of a flow in deformable porous media with nonlinear strain-stress relation
by: Bonito, Andrea, et al.
Published: (2026)

Homogenization of a micropolar fluid past a porous media with non-zero spin boundary condition
by: Suárez-Grau, Francisco J.
Published: (2025)

A Parameter-Driven Physics-Informed Neural Network Framework for Solving Two-Parameter Singular Perturbation Problems Involving Boundary Layers
by: Boro, Pradanya, et al.
Published: (2025)

On the modeling of nonlinear wind-induced ice-drift ocean currents at the North Pole
by: Puntini, Christian
Published: (2025)

Computational orders of convergence of iterative methods for Richards' equation
by: Suciu, Nicolae, et al.
Published: (2024)

On Modeling and Solving the Boltzmann Equation
by: Barichello, Liliane Basso
Published: (2025)

A pressure-free long-time stable reduced-order model for two-dimensional Rayleigh-Bénard convection
by: Chand, Krishan, et al.
Published: (2023)

Pulsatile Flows for Simplified Smart Fluids with Variable Power-Law: Analysis and Numerics
by: Berselli, Luigi C., et al.
Published: (2025)

Effective models for generalized Newtonian fluids through a thin porous medium following the Carreau law
by: Anguiano, Maria, et al.
Published: (2023)

Velocity of viscous fingers in miscible displacement: Intermediate concentration
by: Bakharev, Fedor, et al.
Published: (2023)