3 papers
physics.ao-ph2026
Evaluation of medium range machine learning models for sub-seasonal prediction
Catherine de Burgh-Day, Chen Li, Debra Hudson +4
The performance of two machine learning (ML) atmosphere models - GraphCast and FourCastNetV2 - is evaluated in the context of sub-seasonal prediction, including their ability to re…
physics.ao-ph2026
WP-MIP: An Artificial Intelligence, Hybrid, and Physically Based Model Intercomparison Project for Weather Prediction
Ron McTaggart-Cowan, Linus Magnusson, Inna Polichtchouk +57
Rapid progress in the field of machine-learning for weather prediction has led to the emergence of algorithms whose forecasting skill can exceed that of traditional physically base…
physics.ao-ph2025
Statistical post-processing yields accurate probabilistic forecasts from Artificial Intelligence weather models
Belinda Trotta, Robert Johnson, Catherine de Burgh-Day +7
Artificial Intelligence (AI) weather models are now reaching operational-grade performance for some variables, but like traditional Numerical Weather Prediction (NWP) models, they…