A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis

A methodology for model calibration and evaluation that considers an annual hydrograph as a single observation instead of 365 daily observations, based on functional data analysis, is proposed Samah Larabi and André St-Hilaire from INRS-ETE and Fateh Chebana from INRS. The functional statistics, defined for each time step, are used to construct the objective function for model calibration as well as for further model evaluation. A case study is presented to evaluate the hydrological CEQUEAU model on the Lac St-Jean drainage basin. For the full paper, please visit the JWMM:

A New Concept to Calibrate and Evaluate a Hydrological Model Based on Functional Data Analysis