This paper evaluates an updated flood forecasting system that significantly extends reliable lead times. We evaluated this updated model (v2) against the prior system (v1) and established third-party benchmarks across 1,223 global test basins. The primary finding is that the v2 system extends the reliable predictive horizon by 6 days in gauged basins and 1 day in ungauged basins relative to the v1 nowcast, as measured by the Nash Sutcliffe Efficiency. Along with this paper, we release an open-source codebase for training both the v1 and v2 forecast models with the open-source Caravan dataset.