Integration of Surrogate Optimization and PCA for calibration of Hydrologic models, A WATCLASS case study

摘要

In this approach, exploration of the cost function space was performed with an inexpensive surrogate function, not the expensive original function. To increase the efficiency of the process the surrogate model was combined with one of the dimensionality reduction techniques called Principle Component Analysis (PCA). The case study of this document was WATCLASS hydrologic model calibration on Smokey-River watershed.