Simulate atmospheric dynamics
Evolve an atmospheric state over time using a bounded simulation model.
Desired outcome
A simulated atmospheric trajectory under supplied boundary conditions.
Explore from the outcome
Where this function can lead
These documented connections are starting points for selection, not a ranked list.
Model releases
Identifiable models documented for this function.
- NeuralGCM v1 1.4° Stochastic
Simulates atmospheric evolution using a released hybrid machine-learning and physics checkpoint.
Link evidence: NeuralGCM pre-trained checkpoints
Typical inputs
- Initial atmospheric state and external forcing data
Typical outputs
- Forecast or simulation fields across time
Sources
Last reviewed 2026-09-30