Researchers have developed KG-Chronos-2, a knowledge-graph-augmented model for surrogate forecasting in HEC-RAS water-surface elevation tasks. The model combines a frozen Chronos-2 predictor with graph-conditioned historical retrieval and input-aligned correction, achieving improved accuracy compared to other models. This development may be useful for people building or operating AI agents that involve water-surface elevation forecasting or similar tasks.