Difference between revisions of "Alternate Run Modes:ERDC Automated Model Calibration Software"

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=== ERDC Automated Model Calibration Software ===
 
=== ERDC Automated Model Calibration Software ===
  
Research at the U.S. Army Engineer Research and Development Center (ERDC) has focused on the development of methodologies, or improvement of the efficiency of native algorithms, for the computer-based calibration of hydrologic and environmental models (wherein by efficiency we mean the number of forward model calls necessary for the calibration algorithm to converge on a solution). Our software is written to accommodate a popular model independent and input control file protocol. Two ERDC Technical Reports published in early 2012 demonstrate, by way of example(s), how to use the ERDC implementations of (1) the Levenberg-Marquardt (LM) local search method , and also the Secant LM (SLM) method, an efficiency enhancement to the LM method, and (2) the stochastic global optimization method MLSL, which uses our LM/SLM method for local searches, to calibrate, in a model independent manner, a Gridded Surface Subsurface Hydrologic Analysis (GSSHA) hydrologic model. The two noted technical reports, their related appendix material, and all of the files associated with the examples discussed in each respective report are provided directly below. For further assistance with using the independent ERDC LM, SLM, and MLSL implementations to calibrate a GSSHA hydrologic model, in a model independent manner, please contact Brian Skahill at Brian.E.Skahill@usace.army.mil
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Research at the U.S. Army Engineer Research and Development Center (ERDC) has focused on the development of methodologies, or improvement of the efficiency of native algorithms, for the computer-based calibration of hydrologic and environmental models (wherein by efficiency we mean the number of forward model calls necessary for the calibration algorithm to converge on a solution). Our software is written to accommodate a popular model independent and input control file protocol. Two ERDC Technical Reports published in early 2012 demonstrate, by way of example(s), how to use the ERDC implementations of (1) the Levenberg-Marquardt (LM) local search method , and also the Secant LM (SLM) method, an efficiency enhancement to the LM method, and (2) the stochastic global optimization method MLSL, which uses our LM/SLM method for local searches, to calibrate, in a model independent manner, a Gridded Surface Subsurface Hydrologic Analysis (GSSHA) hydrologic model. The two noted technical reports, their related appendix material, and all of the files associated with the examples discussed in each respective report are provided directly below.
  
 
==A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Efficient Local Search ==
 
==A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Efficient Local Search ==

Revision as of 19:47, 4 April 2012

ERDC Automated Model Calibration Software

Research at the U.S. Army Engineer Research and Development Center (ERDC) has focused on the development of methodologies, or improvement of the efficiency of native algorithms, for the computer-based calibration of hydrologic and environmental models (wherein by efficiency we mean the number of forward model calls necessary for the calibration algorithm to converge on a solution). Our software is written to accommodate a popular model independent and input control file protocol. Two ERDC Technical Reports published in early 2012 demonstrate, by way of example(s), how to use the ERDC implementations of (1) the Levenberg-Marquardt (LM) local search method , and also the Secant LM (SLM) method, an efficiency enhancement to the LM method, and (2) the stochastic global optimization method MLSL, which uses our LM/SLM method for local searches, to calibrate, in a model independent manner, a Gridded Surface Subsurface Hydrologic Analysis (GSSHA) hydrologic model. The two noted technical reports, their related appendix material, and all of the files associated with the examples discussed in each respective report are provided directly below.

A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Efficient Local Search

ERDC-CHL-TR-12-3 A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Efficient Local Search

ERDC-CHL-TR-12-3 Appendix Material

Example problems for ERDC-CHL-TR-12-3

A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Effective and Efficient Stochastic Global Optimization

ERDC-CHL-TR-12-2 A Practical Guide to Calibration of a GSSHA Hydrologic Model Using ERDC Automated Model Calibration Software - Effective and Efficient Stochastic Global Optimization

ERDC-CHL-TR-12-2 Appendix Material

Example problems for ERDC-CHL-TR-12-2

Heading 2

GSSHA User's Manual

18 Alternate Run Modes
18.1     MPI and OpenMP Parallelization
18.2     Simulation Setup for Alternate Run Modes
18.3     Batch Mode Runs
18.4     Automated Calibration with Shuffled Complex Evolution
18.5     Monte Carlo Runs
18.6     ERDC Automated Model Calibration Software
   18.6.1     Efficient Local Search
   18.6.2     Multistart
   18.6.3     Trajectory Repulsion
   18.6.4     Effective and Efficient Stochastic Global Optimization
18.7     Inset Models