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Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
Machine learning emulators have become essential for accelerating expensive Earth-system simulations, but most existing approaches remain passive forecasters: they reproduce simulator trajectories under prescribed forcings without an explicit interaction mechanism for user-specified interventions. T
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