Imagen de Portada

Learning vertical coordinates via automatic differentiation of a dynamical core

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Whittaker, Tim, Taylor, Seth, Cardoso-Bihlo, Elsa, Di Luca, Alejandro, Bihlo, Alex
Formato:	Preprint
Publicado:	2025
Materias:	Atmospheric and Oceanic Physics Machine Learning Fluid Dynamics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A solver-in-the-loop framework for end-to-end differentiable coastal hydrodynamics
por: Cardoso-Bihlo, Elsa, et al.
Publicado: (2026)

Constructing Extreme Heatwave Storylines with Differentiable Climate Models
por: Whittaker, Tim, et al.
Publicado: (2025)

Evaluating near-surface wind speeds simulated by the CRCM6-GEM5 model using AmeriFlux data over North America
por: Whittaker, Tim, et al.
Publicado: (2024)

Turbulence Scaling from Deep Learning Diffusion Generative Models
por: Whittaker, Tim, et al.
Publicado: (2023)

Physics-informed neural networks for tsunami inundation modeling
por: Brecht, Rüdiger, et al.
Publicado: (2024)

Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
por: Jamaat, Amirmoez, et al.
Publicado: (2025)

Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
por: Li, Tianyi, et al.
Publicado: (2024)

Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models
por: Meena, Muralikrishnan Gopalakrishnan, et al.
Publicado: (2024)

A Physics-informed machine learning model for time-dependent wave runup prediction
por: Naeini, Saeed Saviz, et al.
Publicado: (2024)

Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves
por: Ehlers, Svenja, et al.
Publicado: (2025)

Inference from Real-World Sparse Measurements
por: Pannatier, Arnaud, et al.
Publicado: (2022)

Adjoint-based online learning of two-layer quasi-geostrophic baroclinic turbulence
por: Yan, Fei Er, et al.
Publicado: (2024)

Near-inertial waves enhance vertical transport at ocean fronts
por: Paul, Nihar, et al.
Publicado: (2025)

Machine Learning Global Simulation of Nonlocal Gravity Wave Propagation
por: Gupta, Aman, et al.
Publicado: (2024)

The vertical velocity skewness in the atmospheric boundary layer without buoyancy and Coriolis effects
por: Buono, Elia, et al.
Publicado: (2024)

Extreme vertical drafts as drivers of Lagrangian dispersion in stably stratified turbulent flows
por: Reartes, Christian, et al.
Publicado: (2025)

Direct Lagrangian tracking simulation of droplet growth in vertically-developing turbulent cloud
por: Iwashima, Masaya, et al.
Publicado: (2026)

A probabilistic framework for learning non-intrusive corrections to long-time climate simulations from short-time training data
por: Sorensen, Benedikt Barthel, et al.
Publicado: (2024)

Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quasi-Geostrophic Turbulence
por: Babu, Anantha Narayanan Suresh, et al.
Publicado: (2025)

Non-equivalence of quasilinear dynamical systems and their statistical closures
por: Nivarti, G. V., et al.
Publicado: (2022)

Comparing the dynamics of idealized squall lines between NWP and LES models
por: Tijhuis, Mirjam, et al.
Publicado: (2025)

SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics
por: Sharma, Shivani, et al.
Publicado: (2024)

Connecting finite-time Lyapunov exponents with supersaturation and droplet dynamics in the bulk of a turbulent cloud
por: Pushenko, Vladyslav, et al.
Publicado: (2023)

Turbulent Snow Transport and Accumulation: New Reduced-Order Models and Diagnostics
por: Aksamit, Nikolas O., et al.
Publicado: (2025)

Understanding the effect of Prandtl number on momentum and scalar mixing rates in neutral and stably stratified flows using gradient field dynamics
por: Bragg, Andrew D., et al.
Publicado: (2023)

Applications of Deep Learning parameterization of Ocean Momentum Forcing
por: Wang, Guosong, et al.
Publicado: (2024)

Statistics of near-inertial waves over a background flow via quantum and statistical mechanics
por: Tlili, Alexandre, et al.
Publicado: (2025)

Machine Learning-Based Estimation of Superdroplet Growth Rates Using DNS Data
por: Divyaprakash, et al.
Publicado: (2024)

Super-resolution of satellite-derived SST data via Generative Adversarial Networks
por: Fanelli, Claudia, et al.
Publicado: (2025)

Impact of ageostrophic dynamics on the predictability of Lagrangian trajectories in surface-ocean turbulence
por: Maalouly, Michael, et al.
Publicado: (2024)

Well-posedness of the Euler equations in a stably stratified ocean in isopycnal coordinates
por: Fradin, Théo
Publicado: (2024)

Testing the consistency of the resonant wave interaction approximation with simulated dynamics of idealized 2D internal wave fields
por: Bel, Golan, et al.
Publicado: (2022)

Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields
por: Bente, Kim, et al.
Publicado: (2025)

Melting dynamics and mixing layer growth near the ice-ocean interface
por: Allende, Sofía, et al.
Publicado: (2026)

Inhomogeneity-induced wavenumber diffusion
por: Cox, Michael R., et al.
Publicado: (2024)

PQG-DL-Ekman: a triple-deck boundary layer theory for large-scale atmospheric flow with moist process closures
por: Bäumer, Daniel, et al.
Publicado: (2025)

Cascades transition in generalised two-dimensional turbulence
por: Jha, Vibhuti Bhushan, et al.
Publicado: (2023)

Novel Approximation of the Modified Mild Slope Equation
por: Xiao, Chengnian
Publicado: (2025)

A purely analytical and physical wind turbine wake model accounting for atmospheric stratification
por: Noël, Emeline, et al.
Publicado: (2025)

GLONET: Mercator's end-to-end neural Global Ocean forecasting system
por: Aouni, Anass El, et al.
Publicado: (2024)