This paper presents an evaluation of the parameter sensitivity of a process-based model at the global scale using large-sample data. The analysis was carried out using the HYdrological Prediction of t
This table shows the sensitivity of the probability of entering in competence, as each of the indicated parameter varies, when the remaining parameters are set to their nominal values given in Table 1