Automated sensitivity analysis for fortran models

J. E. Horwedel, S. F. Railsback, H. I. Jager

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

For complex computer models used in engineering design and assessment, a cost-efficient procedure for identifying the parameters that are important to a given model prediction is a necessity. The GRESS code was developed to meet this need. GRESS employs a precompiler to add derivative-taking capabilities to FORTRAN computer programs. Early implementations of GRESS were used to calculate sensitivities of model results to user-selected input parameters, but the present version of GRESS includes the ability to calculate and report the sensitivities of model results to all input data. This valuable extension of the GRESS technology makes it possible to rapidly perform a comprehensive sensitivity analysis of FORTRAN models. This paper describes GRESS and its application to a dissolved oxygen (DO) simulation model.

Original languageEnglish
Title of host publicationWater Resources Planning and Management and Urban Water Resources
EditorsJerry L. Anderson
PublisherPubl by ASCE
Pages484-488
Number of pages5
ISBN (Print)0872628051
StatePublished - 1991
Externally publishedYes
EventProceedings of the 18th Annual Conference and Symposium - New Orleans, LA, USA
Duration: May 20 1991May 22 1991

Publication series

NameWater Resources Planning and Management and Urban Water Resources

Conference

ConferenceProceedings of the 18th Annual Conference and Symposium
CityNew Orleans, LA, USA
Period05/20/9105/22/91

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