Automated sensitivity analysis for fortran models

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

Automated sensitivity analysis for fortran models

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Water Resources Planning and Management and Urban Water Resources
Editors	Jerry L. Anderson
Publisher	Publ by ASCE
Pages	484-488
Number of pages	5
ISBN (Print)	0872628051
State	Published - 1991
Externally published	Yes
Event	Proceedings of the 18th Annual Conference and Symposium - New Orleans, LA, USA Duration: May 20 1991 → May 22 1991

Publication series

Name	Water Resources Planning and Management and Urban Water Resources

Conference

Conference	Proceedings of the 18th Annual Conference and Symposium
City	New Orleans, LA, USA
Period	05/20/91 → 05/22/91

Cite this

@inproceedings{53f5f8c0e3a544e79167a9300e58ad23,

title = "Automated sensitivity analysis for fortran models",

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.",

author = "Horwedel, {J. E.} and Railsback, {S. F.} and Jager, {H. I.}",

year = "1991",

language = "English",

isbn = "0872628051",

series = "Water Resources Planning and Management and Urban Water Resources",

publisher = "Publ by ASCE",

pages = "484--488",

editor = "Anderson, {Jerry L.}",

booktitle = "Water Resources Planning and Management and Urban Water Resources",

note = "Proceedings of the 18th Annual Conference and Symposium ; Conference date: 20-05-1991 Through 22-05-1991",

}

Automated sensitivity analysis for fortran models. / Horwedel, J. E.; Railsback, S. F.; Jager, H. I.
Water Resources Planning and Management and Urban Water Resources. ed. / Jerry L. Anderson. Publ by ASCE, 1991. p. 484-488 (Water Resources Planning and Management and Urban Water Resources).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated sensitivity analysis for fortran models

AU - Horwedel, J. E.

AU - Railsback, S. F.

AU - Jager, H. I.

PY - 1991

Y1 - 1991

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0025889342&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0025889342

SN - 0872628051

T3 - Water Resources Planning and Management and Urban Water Resources

SP - 484

EP - 488

BT - Water Resources Planning and Management and Urban Water Resources

A2 - Anderson, Jerry L.

PB - Publ by ASCE

T2 - Proceedings of the 18th Annual Conference and Symposium

Y2 - 20 May 1991 through 22 May 1991

ER -

Automated sensitivity analysis for fortran models

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this