Cover Image

Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Potter, Kevin, Martinez, Carianne, Pradhan, Reina, Brozak, Samantha, Sleder, Steven, Wheeler, Lauren
Format:	Preprint
Published:	2024
Subjects:	Atmospheric and Oceanic Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations
by: Park, Jaesung, et al.
Published: (2024)

Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
by: Landsberg, Jacob B., et al.
Published: (2025)

Evaluating Skill and Stability of ArchesWeather and ArchesWeatherGen under Multi-Decadal Climate Simulations
by: Singh, Renu, et al.
Published: (2026)

Latent Diffusion Model for Generating Ensembles of Climate Simulations
by: Meuer, Johannes, et al.
Published: (2024)

Uncertainty Quantification of Surrogate Models using Conformal Prediction
by: Gopakumar, Vignesh, et al.
Published: (2024)

ArchesClimate: Probabilistic Decadal Ensemble Generation With Flow Matching
by: Clyne, Graham, et al.
Published: (2025)

Climate Trends of Tropical Cyclone Intensity and Energy Extremes Revealed by Deep Learning
by: Chen, Buo-Fu, et al.
Published: (2024)

Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
by: Beucler, Tom, et al.
Published: (2023)

CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
by: Jeon, Hyeon-Ju, et al.
Published: (2024)

Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale
by: Carpentieri, Alberto, et al.
Published: (2024)

Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting
by: Meng, Fan
Published: (2025)

PuYun: Medium-Range Global Weather Forecasting Using Large Kernel Attention Convolutional Networks
by: Zhu, Shengchen, et al.
Published: (2024)

Multi-Fidelity Emulation of Atmospheric Correction Coefficients with Physics-Guided Kolmogorov-Arnold Networks
by: Mazid, Md Abdullah Al, et al.
Published: (2026)

Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
by: Fan, Da, et al.
Published: (2025)

Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
by: Cachay, Salva Rühling, et al.
Published: (2024)

Downscaling weather forecasts from Low- to High-Resolution with Diffusion Models
by: Brazidec, Joffrey Dumont Le, et al.
Published: (2026)

High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
by: Nordhagen, Even Marius, et al.
Published: (2025)

MODS: Multi-source Observations Conditional Diffusion Model for Meteorological State Downscaling
by: Tu, Siwei, et al.
Published: (2025)

Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
by: Gao, Wentao, et al.
Published: (2024)

WADEPre: A Wavelet-based Decomposition Model for Extreme Precipitation Nowcasting with Multi-Scale Learning
by: Liu, Baitian, et al.
Published: (2026)

IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales
by: Kingston, Kishanthan, et al.
Published: (2026)

An Efficient Regional Storm Surge Surrogate Model Training Strategy Under Evolving Landscape and Climate Scenarios
by: Liu, Ziyue, et al.
Published: (2025)

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates
by: Sun, Yixuan, et al.
Published: (2024)

Generative Diffusion Model-based Downscaling of Observed Sea Surface Height over Kuroshio Extension since 2000
by: Han, Qiuchang, et al.
Published: (2024)

Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
by: Rybchuk, Alex, et al.
Published: (2024)

Observation-Guided Neural Surrogate Learning for Scientific Simulation Emulation: A Single-Gauge Flood-Inundation Proof of Concept
by: Mirhoseini, Marzieh Alireza
Published: (2026)

A Deep State Space Model for Rainfall-Runoff Simulations
by: Wang, Yihan, et al.
Published: (2025)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control
by: Yu, Junjie, et al.
Published: (2025)

Large-Ensemble Simulations Reveal Links Between Atmospheric Blocking Frequency and Sea Surface Temperature Variability
by: Meng, Zilu, et al.
Published: (2026)

A Self-Evolving AI Agent System for Climate Science
by: Guo, Zijie, et al.
Published: (2025)

Interpretable Machine Learning for Weather and Climate Prediction: A Survey
by: Yang, Ruyi, et al.
Published: (2024)

The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
by: Mozaffari, Amirpasha, et al.
Published: (2026)

AI Decodes Historical Chinese Archives to Reveal Lost Climate History
by: He, Sida, et al.
Published: (2026)

Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling
by: Sun, Yixuan, et al.
Published: (2025)

Deep learning the sources of MJO predictability: a spectral view of learned features
by: Yao, Lin, et al.
Published: (2025)

Generative artificial intelligence improves projections of climate extremes
by: Tie, Ruian, et al.
Published: (2025)

Towards Multi-Agent Autonomous Reasoning in Hydrodynamics
by: Zhao, Jinpai, et al.
Published: (2026)

Data-driven ensemble prediction of the global ocean
by: Huang, Qiusheng, et al.
Published: (2026)

Two Hebrew folk meteorological proverbs tested: rainfall on Rosh Chodesh and Shabbat Mevarechim as predictors of monthly precipitation (Israel, 1950-2024)
by: Weinberg, Abraham Itzhak
Published: (2026)

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery
by: Lagerquist, Ryan, et al.
Published: (2024)