Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
An action-conditioned world-modeling framework for Earth-system emulation is proposed, allowing users to specify interventions and explore system responses. It reformulates simulator trajectories as supervision for controllable state-transition learning, going beyond passive forecasting. This is relevant for interactive scientific workflows and Earth-system digital twins.