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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.

Why it matters

The approach enhances planetary-scale digital twins by enabling scenario analysis of interventions on ecosystems.

Relevant to DT products

Original headline
Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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