On calibration data selection: The case of stormwater quality regression models

► Size and selection of calibration data lead to uncertainty in model performance. ► Selection methods are developed to choose data that are representative of all data. ► Selection methods improve model performance compared to random selection. ► Selection methods using multi-dimension information are recommended.