:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Garg, Piyush, Gergel, Diana R., Shao, Andrew E., Yacalis, Galen J.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Online Access:	https://arxiv.org/abs/2604.01215
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)

Research on Dangerous Flight Weather Prediction based on Machine Learning
by: Liu, Haoxing, et al.
Published: (2024)

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
by: Hua, Zhanxiang, et al.
Published: (2025)

Instability-Aware Steering of an Extreme Atmospheric River in an AI Weather Foundation Model
by: Liu, Moyan, et al.
Published: (2026)

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)

Turning Up the Heat: Assessing 2-m Temperature Forecast Errors in AI Weather Prediction Models During Heat Waves
by: Ennis, Kelsey E., et al.
Published: (2025)

Predictability of Global AI Weather Models
by: Kieu, Chanh
Published: (2024)

How does an AI Weather Model Learn to Forecast Extreme Weather?
by: Baiman, Rebecca, et al.
Published: (2025)

EWE: An Agentic Framework for Extreme Weather Analysis
by: Jiang, Zhe, et al.
Published: (2025)

Weather Prediction with Diffusion Guided by Realistic Forecast Processes
by: Hua, Zhanxiang, 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)

ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
by: Verma, Yogesh, et al.
Published: (2024)

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

A Weather Foundation Model for the Power Grid
by: Bodnar, Cristian, et al.
Published: (2025)

CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
by: Inoue, Takuya, et al.
Published: (2025)

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

WeatherBench 2: A benchmark for the next generation of data-driven global weather models
by: Rasp, Stephan, et al.
Published: (2023)

Predicting Beyond Training Data via Extrapolation versus Translocation: AI Weather Models and Dubai's Unprecedented 2024 Rainfall
by: Sun, Y. Qiang, et al.
Published: (2025)

Watch an AI Weather Model Learn (and Unlearn) Tropical Cyclones
by: Baiman, Rebecca, et al.
Published: (2026)

Assimilating Observed Surface Pressure into ML Weather Prediction Models
by: Slivinski, Laura C., et al.
Published: (2024)

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

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
by: Manshausen, Peter, et al.
Published: (2024)

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

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

Prithvi WxC: Foundation Model for Weather and Climate
by: Schmude, Johannes, et al.
Published: (2024)

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

An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes
by: Pérez-Carrasquilla, Jhayron S., et al.
Published: (2024)

IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
by: Nguyen, Tung, et al.
Published: (2025)

DAWP: A framework for global observation forecasting via Data Assimilation and Weather Prediction in satellite observation space
by: Gong, Junchao, et al.
Published: (2025)

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

Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
by: Subramaniam, Akshay, et al.
Published: (2025)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)

WP-MIP: An Artificial Intelligence, Hybrid and Physically Based Model Intercomparison Project for Weather Prediction
by: McTaggart-Cowan, Ron, et al.
Published: (2026)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
by: Loveday, Nicholas, et al.
Published: (2025)

AI for operational methane emitter monitoring from space
by: Vaughan, Anna, et al.
Published: (2024)

WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learning
by: Zhao, Xiangyu, et al.
Published: (2024)

A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)

Improving prediction of heavy rainfall in the Mediterranean with Neural Networks using both observation and Numerical Weather Prediction data
by: Pujol, Killian, et al.
Published: (2025)