Flood forecasting is important for controlling floods, and lately people have been paying more attention to using data-driven models instead of just physical or conceptual ones. This study uses an state of art neural networks to make the most out of all kinds of historical data and precipitation forecasts for predicting floods over different time scales. We tested it in serval watersheds in China, and it turned out to be really accurate and reliable.