Quality control for community-based sea-ice model development
A new collaborative organization for sea-ice model development, the CICE Consortium, has devised quality control procedures to maintain the integrity of its numerical codes' physical representations, enabling broad participation from the scientific community in the Consortium's open softwa...
Published in: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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crroyalsociety:10.1098/rsta.2017.0344 2024-10-06T13:52:36+00:00 Quality control for community-based sea-ice model development Roberts, Andrew F. Hunke, Elizabeth C. Allard, Richard Bailey, David A. Craig, Anthony P. Lemieux, Jean-François Turner, Matthew D. US Department of Energy Office of Naval Research 2018 http://dx.doi.org/10.1098/rsta.2017.0344 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2017.0344 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2017.0344 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 376, issue 2129, page 20170344 ISSN 1364-503X 1471-2962 journal-article 2018 crroyalsociety https://doi.org/10.1098/rsta.2017.0344 2024-09-09T06:01:30Z A new collaborative organization for sea-ice model development, the CICE Consortium, has devised quality control procedures to maintain the integrity of its numerical codes' physical representations, enabling broad participation from the scientific community in the Consortium's open software development environment. Using output from five coupled and uncoupled configurations of the Los Alamos Sea Ice Model, CICE, we formulate quality control methods that exploit common statistical properties of sea-ice thickness, and test for significant changes in model results in a computationally efficient manner. New additions and changes to CICE are graded into four categories, ranging from bit-for-bit amendments to significant, answer-changing upgrades. These modifications are assessed using criteria that account for the high level of autocorrelation in sea-ice time series, along with a quadratic skill metric that searches for hemispheric changes in model answers across an array of different CICE configurations. These metrics also provide objective guidance for assessing new physical representations and code functionality. This article is part of the theme issue ‘Modelling of sea-ice phenomena’. Article in Journal/Newspaper Sea ice The Royal Society Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376 2129 20170344 |
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The Royal Society |
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crroyalsociety |
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English |
description |
A new collaborative organization for sea-ice model development, the CICE Consortium, has devised quality control procedures to maintain the integrity of its numerical codes' physical representations, enabling broad participation from the scientific community in the Consortium's open software development environment. Using output from five coupled and uncoupled configurations of the Los Alamos Sea Ice Model, CICE, we formulate quality control methods that exploit common statistical properties of sea-ice thickness, and test for significant changes in model results in a computationally efficient manner. New additions and changes to CICE are graded into four categories, ranging from bit-for-bit amendments to significant, answer-changing upgrades. These modifications are assessed using criteria that account for the high level of autocorrelation in sea-ice time series, along with a quadratic skill metric that searches for hemispheric changes in model answers across an array of different CICE configurations. These metrics also provide objective guidance for assessing new physical representations and code functionality. This article is part of the theme issue ‘Modelling of sea-ice phenomena’. |
author2 |
US Department of Energy Office of Naval Research |
format |
Article in Journal/Newspaper |
author |
Roberts, Andrew F. Hunke, Elizabeth C. Allard, Richard Bailey, David A. Craig, Anthony P. Lemieux, Jean-François Turner, Matthew D. |
spellingShingle |
Roberts, Andrew F. Hunke, Elizabeth C. Allard, Richard Bailey, David A. Craig, Anthony P. Lemieux, Jean-François Turner, Matthew D. Quality control for community-based sea-ice model development |
author_facet |
Roberts, Andrew F. Hunke, Elizabeth C. Allard, Richard Bailey, David A. Craig, Anthony P. Lemieux, Jean-François Turner, Matthew D. |
author_sort |
Roberts, Andrew F. |
title |
Quality control for community-based sea-ice model development |
title_short |
Quality control for community-based sea-ice model development |
title_full |
Quality control for community-based sea-ice model development |
title_fullStr |
Quality control for community-based sea-ice model development |
title_full_unstemmed |
Quality control for community-based sea-ice model development |
title_sort |
quality control for community-based sea-ice model development |
publisher |
The Royal Society |
publishDate |
2018 |
url |
http://dx.doi.org/10.1098/rsta.2017.0344 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2017.0344 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2017.0344 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 376, issue 2129, page 20170344 ISSN 1364-503X 1471-2962 |
op_rights |
https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ |
op_doi |
https://doi.org/10.1098/rsta.2017.0344 |
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
container_volume |
376 |
container_issue |
2129 |
container_start_page |
20170344 |
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1812181053181263872 |