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- Third Party Resource Title: Introduction to hydrologic model calibration
- Third Party Resource Link: https://serc.carleton.edu/teaching_computation/workshop_2019/activities/230828.html
- Description: In this exercise, we introduce the concept of model calibration for rainfall-runoff models. We specifically employ a synthetic precipitation data as input to the hydrologic model to generate synthetic runoff. The random noise in observed data would affect the parameter estimation of the rainfall-runoff model. We first try to find the parameters by trial and error in a manual calibration process by minimizing Root Mean Squared Error (RMSE). Then we employ a local search approach to find the parameters of the model in an automatic model calibration process.
- Publish Year: 2019
- Institution: University of California Irvine
