AI RESEARCH
PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting
arXiv CS.AI
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ArXi:2605.08935v1 Announce Type: new Coupled spatiotemporal forecasting is important for predicting the future evolution of multiple interacting dynamical systems, such as in climate models. However, existing methods are severely constrained by the persistent bottleneck of compounding errors. In coupled systems, errors from each subsystem simulator propagate and amplify one another, a phenomenon we term Reciprocal Error Amplification, leading to a rapid collapse of long-range predictions.