Sensitivity analysis and parameter tuning of a sea-ice model.

The values of many of the parameters in climate models are often not known with any great precision. We describe the use of automatic differentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the effectiveness of using th...

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Bibliographic Details
Main Authors: Kim, J. G., Hovland, P. D.
Other Authors: United States. Department of Energy.
Format: Article in Journal/Newspaper
Language:English
Published: Argonne National Laboratory 2000
Subjects:
Online Access:http://digital.library.unt.edu/ark:/67531/metadc725467/
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spelling ftunivnotexas:info:ark/67531/metadc725467 2023-05-15T18:17:14+02:00 Sensitivity analysis and parameter tuning of a sea-ice model. Kim, J. G. Hovland, P. D. United States. Department of Energy. 2000-11-01 vp. Text http://digital.library.unt.edu/ark:/67531/metadc725467/ English eng Argonne National Laboratory rep-no: ANL/MCS/CP-103189 grantno: W-31109-ENG-38 osti: 768597 http://digital.library.unt.edu/ark:/67531/metadc725467/ ark: ark:/67531/metadc725467 3rd International Conference/Workshop on Automatic Differentiation: From Simulation to Optimization, Nice (FR), 06/19/2000--06/23/2000; Other Information: PBD: 1 Nov 2000; PBD: 1 Nov 2000 Tuning Sensitivity Analysis Accuracy Sensitivity Simulation Optimization 54 Environmental Sciences Climate Models Algorithms Article 2000 ftunivnotexas 2016-03-26T23:11:29Z The values of many of the parameters in climate models are often not known with any great precision. We describe the use of automatic differentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the effectiveness of using these sensitivity derivatives with an optimization algorithm to tune the parameters to maximize the agreement between simulated results and observational data. Article in Journal/Newspaper Sea ice University of North Texas: UNT Digital Library
institution Open Polar
collection University of North Texas: UNT Digital Library
op_collection_id ftunivnotexas
language English
topic Tuning
Sensitivity Analysis
Accuracy
Sensitivity
Simulation
Optimization
54 Environmental Sciences
Climate Models
Algorithms
spellingShingle Tuning
Sensitivity Analysis
Accuracy
Sensitivity
Simulation
Optimization
54 Environmental Sciences
Climate Models
Algorithms
Kim, J. G.
Hovland, P. D.
Sensitivity analysis and parameter tuning of a sea-ice model.
topic_facet Tuning
Sensitivity Analysis
Accuracy
Sensitivity
Simulation
Optimization
54 Environmental Sciences
Climate Models
Algorithms
description The values of many of the parameters in climate models are often not known with any great precision. We describe the use of automatic differentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the effectiveness of using these sensitivity derivatives with an optimization algorithm to tune the parameters to maximize the agreement between simulated results and observational data.
author2 United States. Department of Energy.
format Article in Journal/Newspaper
author Kim, J. G.
Hovland, P. D.
author_facet Kim, J. G.
Hovland, P. D.
author_sort Kim, J. G.
title Sensitivity analysis and parameter tuning of a sea-ice model.
title_short Sensitivity analysis and parameter tuning of a sea-ice model.
title_full Sensitivity analysis and parameter tuning of a sea-ice model.
title_fullStr Sensitivity analysis and parameter tuning of a sea-ice model.
title_full_unstemmed Sensitivity analysis and parameter tuning of a sea-ice model.
title_sort sensitivity analysis and parameter tuning of a sea-ice model.
publisher Argonne National Laboratory
publishDate 2000
url http://digital.library.unt.edu/ark:/67531/metadc725467/
genre Sea ice
genre_facet Sea ice
op_source 3rd International Conference/Workshop on Automatic Differentiation: From Simulation to Optimization, Nice (FR), 06/19/2000--06/23/2000; Other Information: PBD: 1 Nov 2000; PBD: 1 Nov 2000
op_relation rep-no: ANL/MCS/CP-103189
grantno: W-31109-ENG-38
osti: 768597
http://digital.library.unt.edu/ark:/67531/metadc725467/
ark: ark:/67531/metadc725467
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