graph neural networks 1machine learning 1satellite observations 1short-range prediction 1weather forecasting 1
From the 1 of 2 linked papers with an AI index.
2 papers
physics.ao-ph2026
OCELOT: Direct Atmospheric Forecasting from Heterogeneous Earth Observations Using a Graph-Transformer Hybrid Model
Azadeh Gholoubi, Ronald McLaren, Mu-Chieh Ko +7
The paper introduces OCELOT, a machine‑learning system that directly forecasts atmospheric observations up to 12 hours ahead by processing heterogeneous satellite and in‑situ data…
physics.ao-ph2024
Exploring the Use of Machine Learning Weather Models in Data Assimilation
Xiaoxu Tian, Daniel Holdaway, Daryl Kleist
The use of machine learning (ML) models in meteorology has attracted significant attention for their potential to improve weather forecasting efficiency and accuracy. GraphCast and…