A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin

Model validation

Figure 2 present the Validation of simulated monthly meteorological variables (average temperature and precipitation) from MPI-ESM1.2 through the Transformer-SVM with Bayesian optimization and extreme data generator. Figure