Cover Image

Stable rational approximations for parabolic equation methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ramamurti, Adith, Lingevitch, Joseph F., Lighthall, Jonathan C., Collins, Michael D.
Format:	Preprint
Published:	2025
Subjects:	Computational Physics Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Discrete element method model of soot aggregates
by: Demidov, Egor V., et al.
Published: (2024)

Field measurements reveal insights into the impact of turbulent wind on loads experienced by parabolic trough solar collectors
by: Egerer, Ulrike, et al.
Published: (2024)

Constraining Atmospheric River Uncertainty Using Instantaneous Poleward Latent Heat Transport
by: Mahesh, Ankur, et al.
Published: (2025)

Structured dataset of reported cloud seeding activities in the United States (2000-2025) using an LLM
by: Donohue, Jared Joseph, et al.
Published: (2025)

Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
by: Hu, Zeyuan, et al.
Published: (2024)

Ensemble size effects on conditional reliability estimates: slope attenuation bias and correction methods
by: Spaeth, Jonas, et al.
Published: (2026)

Physics captured by data-based methods in El Niño prediction
by: Lancia, G., et al.
Published: (2022)

Scattering graph method for 3D radiative transfer
by: Mikkonen, Antti, et al.
Published: (2025)

Entropic learning enables skilful forecasts of ENSO phase at up to two years lead time
by: Groom, Michael, et al.
Published: (2025)

Hybrid ensemble forecasting combining physics-based and machine-learning predictions through spectral nudging
by: Polichtchouk, Inna, et al.
Published: (2026)

Earth ECS Upper Limit using Modified Energy Budget Methods and Trend Analyses v.4
by: Mill, Michael D.
Published: (2024)

An intercomparison of generative machine learning methods for downscaling precipitation at fine spatial scales
by: Ward-Leikis, Bryn, et al.
Published: (2025)

An extreme value method to study decadal hurricane wind trends
by: Payez, Alexandre, et al.
Published: (2025)

Interpreting Observed Interactions between Near-Inertial Waves and Mesoscale Eddies
by: Conn, Scott, et al.
Published: (2023)

Causal pathway from AMOC to Southern Amazon rainforest indicates stabilising interaction between two climate tipping elements
by: Högner, Annika, et al.
Published: (2025)

Revisiting the Dynamical Properties of Pedlosky's Two-Layer Model for Finite Amplitude Baroclinic Waves
by: De Ro, Nicolas, et al.
Published: (2026)

Quantifying the radiative response to surface temperature variability: A critical comparison of current methods
by: Fredericks, Leif, et al.
Published: (2025)

Measuring tropical rainforest resilience under non-Gaussian disturbances
by: Benson, Vitus, et al.
Published: (2023)

Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
by: Mukhin, Dmitry, et al.
Published: (2024)

The future of offshore wind power production: wake and climate impacts
by: Warder, Simon C, et al.
Published: (2024)

Mapping global offshore wind wake losses, layout optimisation potential, and climate change effects
by: Warder, Simon C, et al.
Published: (2024)

Using Unstable Periodic Orbits to Understand Blocking Behaviour in a Low Order Land-Atmosphere Model
by: Hamilton, Oisín, et al.
Published: (2025)

Solsticial Hadley Cell ascending edge theory from supercriticality
by: Hill, Spencer A., et al.
Published: (2020)

Toward a unified theory for the Hadley cell descending and ascending edges
by: Hill, Spencer A., et al.
Published: (2021)

Reflecting on a Decade of Formalized Tornado Emergencies
by: Wolff, Edward C., et al.
Published: (2025)

Light scattering by random convex polyhedron in geometric optics approximation
by: Mu, Quan
Published: (2025)

Quantification of the cascading tipping probability from the AMOC to the Amazon rainforest
by: Jacques-Dumas, Valérian, et al.
Published: (2025)

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
by: Gomez, Milton, et al.
Published: (2025)

A three-dimensional energy flux acoustic propagation model
by: Langhirt, Mark, et al.
Published: (2025)

Adaptive time-stepping for the Super-Droplet Method Monte Carlo collision-coalescence scheme
by: Ware, Emma, et al.
Published: (2025)

UniPhy: Unifying Riemannian-Clifford Geometry and Biorthogonal Dynamics for Planetary-Scale Continuous Weather Modeling
by: Yan, Ruiqing, et al.
Published: (2026)

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

Machine Learning for the Physics of Climate
by: Bracco, Annalisa, et al.
Published: (2024)

Application of a spectral scheme to simulate horizontally slowly varying three-dimensional ocean acoustic propagation
by: Tu, Houwang, et al.
Published: (2024)

What if? Numerical weather prediction at the crossroads
by: Bauer, Peter
Published: (2024)

Atmospheric chemistry surrogate modeling with sparse identification of nonlinear dynamics
by: Yang, Xiaokai, et al.
Published: (2024)

Split-explicit external mode solver in finite volume sea ice ocean model FESOM2
by: Banerjee, Tridib, et al.
Published: (2023)

Tailoring data assimilation to discontinuous Galerkin models
by: Pasmans, Ivo, et al.
Published: (2023)

Return level estimations for extreme rainfall over the Iberian Peninsula: comparing methodologies
by: Acero, F. J., et al.
Published: (2024)

Extremes of summer Arctic sea ice reduction investigated with a rare event algorithm
by: Sauer, Jerome, et al.
Published: (2023)