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…