This study introduces a novel dual-threshold double autoregressive (DTDAR) model for daily streamflow prediction. The DTDAR model outperforms other commonly used models, especially when using a Student's t distribution for residuals, showing improved accuracy in capturing non-linearity and long-term memory in streamflow data.