Probabilistic Prediction for Monthly Streamflow through Coupling Stepwise Cluster Analysis and Quantile Regression Methods

In this study, a stepwise cluster forecasting (SCF) framework is proposed for probabilistic prediction for monthly streamflow through integrating stepwise cluster analysis and quantile regression methods. The developed SCF method can capture discrete and nonlinear relationships between explanatory and response variables. A cluster tree was generated through the SCF method for reflecting complex relationships between independent (i.e. …