Toward an Operational GNN-Based Multimesh Surrogate for Fast Flood Forecasting

ArXi:2604.02876v1 Announce Type: new Operational flood forecasting still relies on high-fidelity two-dimensional hydraulic solvers, but their runtime can be prohibitive for rapid decision on large urban floodplains. In parallel, AI-based surrogate models have shown strong potential in several areas of computational physics for accelerating otherwise expensive high-fidelity simulations. We address this issue on the lower T\^et River (France), starting from a production-grade Telemac2D model defined on a high-resolution unstructured finite-element mesh with than $4\times 10^5$ nodes.