Image de couverture de livre

Atmospheric Predictability Beyond 30 Days with Machine Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vonich, P. Trent, Hakim, Gregory J.
Format:	Preprint
Publié:	2025
Sujets:	Atmospheric and Oceanic Physics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
par: Vonich, P. Trent, et autres
Publié: (2024)

Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies
par: Meng, Zilu, et autres
Publié: (2025)

Prediction Beyond the Medium Range with an Atmosphere-Ocean Model that Combines Physics-based Modeling and Machine Learning
par: Patel, Dhruvit, et autres
Publié: (2024)

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
par: Wang, Chenggong, et autres
Publié: (2024)

The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming
par: Zhang, Bosong, et autres
Publié: (2025)

Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
par: Howard, Lucas, et autres
Publié: (2025)

Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
par: Zhang, Yihe, et autres
Publié: (2024)

CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression
par: Jiang, Fei, et autres
Publié: (2026)

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
par: Beucler, Tom, et autres
Publié: (2024)

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years
par: Hao, Rixu, et autres
Publié: (2025)

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

Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework
par: Fernandez, M. A., et autres
Publié: (2025)

A Comparison of Machine Learning Algorithms for Predicting Sea Surface Temperature in the Great Barrier Reef Region
par: Quayesam, Dennis, et autres
Publié: (2024)

Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
par: Lovo, Alessandro, et autres
Publié: (2024)

TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
par: Balogun, Emmanuel, et autres
Publié: (2023)

Machine Learning for Stochastic Parametrisation
par: Christensen, Hannah M., et autres
Publié: (2024)

Hierarchical Testing of a Hybrid Machine Learning-Physics Global Atmosphere Model
par: Chen, Ziming, et autres
Publié: (2026)

Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscaling
par: Mardani, Morteza, et autres
Publié: (2023)

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
par: Erfani, Seyed Mohammad Hassan, et autres
Publié: (2025)

Physics Guided Machine Learning Methods for Hydrology
par: Khandelwal, Ankush, et autres
Publié: (2020)

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences
par: Sun, Jing-An, et autres
Publié: (2025)

A Temporal Stochastic Bias Correction using a Machine Learning Attention model
par: Nivron, Omer, et autres
Publié: (2024)

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
par: Lehmann, Fanny, et autres
Publié: (2026)

Machine Learning Techniques for Data Reduction of Climate Applications
par: Li, Xiao, et autres
Publié: (2024)

Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
par: Mahesh, Ankur, et autres
Publié: (2026)

Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification
par: Fan, Hang, et autres
Publié: (2026)

Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
par: Ullrich, Paul A., et autres
Publié: (2024)

CloudCast -- Total Cloud Cover Nowcasting with Machine Learning
par: Partio, Mikko, et autres
Publié: (2024)

Exploring the Use of Machine Learning Weather Models in Data Assimilation
par: Tian, Xiaoxu, et autres
Publié: (2024)

Top-of-atmosphere radiation over the last millennium reconstructed from proxies
par: Stiller, Dominik, et autres
Publié: (2025)

Do Tensorized Large-Scale Spatiotemporal Dynamic Atmospheric Data Exhibit Low-Rank Properties?
par: Solgi, Ryan, et autres
Publié: (2025)

Deep Learning Models for Flood Predictions in South Florida
par: Shi, Jimeng, et autres
Publié: (2023)

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves
par: Gupta, Aman, et autres
Publié: (2025)

CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
par: Liu, Shuchang, et autres
Publié: (2025)

Geographic Transferability of Machine Learning Models for Short-Term Airport Fog Forecasting
par: Castillo, Marcelo Cerda
Publié: (2025)

Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
par: Han, MengMeng, et autres
Publié: (2024)

Are Hourly PM2.5 Forecasts Sufficiently Accurate to Plan Your Day? Individual Decision Making in the Face of Increasing Wildfire Smoke
par: Berlinghieri, Renato, et autres
Publié: (2024)

AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion
par: Luitel, Somnath, et autres
Publié: (2026)

Interpretable Machine Learning for Urban Heat Mitigation: Attribution and Weighting of Multi-Scale Drivers
par: Tschan, David, et autres
Publié: (2025)

Machine Learning Reveals Large-scale Impact of Posidonia Oceanica on Mediterranean Sea Water
par: Trois, Celio, et autres
Publié: (2024)