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Title: A practical guide to calibration of a GSSHA hydrologic model using ERDC automated model calibration software -efficient local search
Authors: University of Wisconsin--La Crosse
Skahill, Brian E. (Brian Edward)
Downer, Charles Wayne.
Baggett, Jeffrey S.
Keywords: Calibration
Efficient local search
Secant Levenberg-Marquardt
Publisher: Coastal and Hydraulics Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/CHL TR ; 12-3.
Description: Technical report
The objective of this technical note is to demonstrate, by way of example(s), how to use the Engineer Research and Development Center (ERDC) implementation of the Levenberg-Marquardt (LM) and Secant LM (SLM) method for model independent parameter estimation to calibrate a Gridded Surface Subsurface Hydrologic Analysis (GSSHA) hydrologic model. The purpose is not to present or focus on the theory which underlies the parameter estimation method(s), but rather to carefully describe how to use the ERDC software implementation of the secant LM method that accommodates the PEST model independent interface to calibrate a GSSHA hydrologic model. We will consider variations of our Secant LM (SLM) implementation in attempts to provide the interested reader with an intuitive sense of how the method works. We will also demonstrate how our LM/SLM implementation compares with its counterparts as implemented in the popular PEST software.
Appears in Collections:Technical Report

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