A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers

Abstract Flow simulations of ephemeral rivers are often highly uncertain. Therefore, error models that can reliably quantify predictive uncertainty are particularly important. Existing error models are incapable of producing predictive distributions that contain >50% zeros, making them unsuitable fo... View More