Imagen de Portada

Probabilistic Emulation of a Global Climate Model with Spherical DYffusion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cachay, Salva Rühling, Henn, Brian, Watt-Meyer, Oliver, Bretherton, Christopher S., Yu, Rose
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
por: Cachay, Salva Rühling, et al.
Publicado: (2026)

Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
por: Cachay, Salva Rühling, et al.
Publicado: (2025)

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
por: Duncan, James P. C., et al.
Publicado: (2025)

Zephyrus: An Agentic Framework for Weather Science
por: Varambally, Sumanth, et al.
Publicado: (2025)

ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
por: Watt-Meyer, Oliver, et al.
Publicado: (2024)

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

Samudra: An AI Global Ocean Emulator for Climate
por: Dheeshjith, Surya, et al.
Publicado: (2024)

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

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

A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator
por: Saleem, Hira, et al.
Publicado: (2024)

Causal Climate Emulation with Bayesian Filtering
por: Hickman, Sebastian, et al.
Publicado: (2025)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
por: Mu, Bin, et al.
Publicado: (2025)

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

FloeNet: A mass-conserving global sea ice emulator that generalizes across climates
por: Gregory, William, et al.
Publicado: (2026)

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

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

Generative Diffusion-based Downscaling for Climate
por: Watt, Robbie A., et al.
Publicado: (2024)

Enforcing Equity in Neural Climate Emulators
por: Yik, William, et al.
Publicado: (2024)

Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
por: Howard, Lucas, et al.
Publicado: (2025)

ACE2-SOM: Coupling an ML atmospheric emulator to a slab ocean and learning the sensitivity of climate to changed CO$_2$
por: Clark, Spencer K., et al.
Publicado: (2024)

ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
por: Yu, Sungduk, et al.
Publicado: (2023)

Exploring Randomly Wired Neural Networks for Climate Model Emulation
por: Yik, William, et al.
Publicado: (2022)

Probabilistic bias adjustment of seasonal predictions of Arctic Sea Ice Concentration
por: Gooya, Parsa, et al.
Publicado: (2025)

Data-driven Global Ocean Modeling for Seasonal to Decadal Prediction
por: Guo, Zijie, et al.
Publicado: (2024)

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
por: Mahesh, Ankur, et al.
Publicado: (2026)

Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes well to other climate zones
por: Schuurman, K. R., et al.
Publicado: (2024)

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

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

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
por: Guo, Yizhen, et al.
Publicado: (2024)

TCP-Diffusion: A Multi-modal Diffusion Model for Global Tropical Cyclone Precipitation Forecasting with Change Awareness
por: Huang, Cheng, et al.
Publicado: (2024)

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

Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
por: Schreck, John S., et al.
Publicado: (2025)

STCast: Adaptive Boundary Alignment for Global and Regional Weather Forecasting
por: Chen, Hao, et al.
Publicado: (2025)

OXYGENERATOR: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
por: Lu, Bin, et al.
Publicado: (2024)

WeatherFormer: Empowering Global Numerical Weather Forecasting with Space-Time Transformer
por: Gong, Junchao, et al.
Publicado: (2024)

FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
por: Huang, Qiusheng, et al.
Publicado: (2025)

FengWu-GHR: Learning the Kilometer-scale Medium-range Global Weather Forecasting
por: Han, Tao, et al.
Publicado: (2024)

Validating Climate Models with Spherical Convolutional Wasserstein Distance
por: Garrett, Robert C., et al.
Publicado: (2024)

FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
por: Chen, Kang, et al.
Publicado: (2023)

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