This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model

ABSTRACT The values of many of the parameters in climate models are often not known with any great precision. We describe the use of auto-matic dierentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the eectiveness of us...

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Main Authors: Jong G. Kim, Paul D. Hovland
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Sea ice
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5641
http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.464.5641 2023-05-15T18:17:14+02:00 This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model Jong G. Kim Paul D. Hovland The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5641 http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5641 http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf text ftciteseerx 2016-01-08T06:49:54Z ABSTRACT The values of many of the parameters in climate models are often not known with any great precision. We describe the use of auto-matic dierentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the eectiveness of using these sensitivity derivatives with an optimization algo-rithm to tune the parameters to maximize the agreement between simulated results and observational data. 1 Text Sea ice Unknown
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
description ABSTRACT The values of many of the parameters in climate models are often not known with any great precision. We describe the use of auto-matic dierentiation to examine the sensitivity of an uncoupled dynamic-thermodynamic sea-ice model to various parameters. We also illustrate the eectiveness of using these sensitivity derivatives with an optimization algo-rithm to tune the parameters to maximize the agreement between simulated results and observational data. 1
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Jong G. Kim
Paul D. Hovland
spellingShingle Jong G. Kim
Paul D. Hovland
This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
author_facet Jong G. Kim
Paul D. Hovland
author_sort Jong G. Kim
title This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
title_short This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
title_full This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
title_fullStr This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
title_full_unstemmed This is page 1 Printer: Opaque this Sensitivity Analysis and Parameter Tuning of a Sea-Ice Model
title_sort this is page 1 printer: opaque this sensitivity analysis and parameter tuning of a sea-ice model
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5641
http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf
genre Sea ice
genre_facet Sea ice
op_source http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.5641
http://info.mcs.anl.gov/pub/tech_reports/reports/P819.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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