Ridgepack, Version 1.0.1 ...
This is a new release of Ridgepack to accompany the manuscript Roberts, A.F., E.C. Hunke, S.M. Kamal, W.H. Lipscomb, C. Horvat, W. Maslowski (2019), A Variational Method for Sea Ice Ridging in Earth System Models, J. Adv. Model Earth Sy.. Ridgepack is a MATLAB sea ice model analysis and development...
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Online Access: | https://dx.doi.org/10.5281/zenodo.2477370 https://zenodo.org/record/2477370 |
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ftdatacite:10.5281/zenodo.2477370 2023-06-11T04:09:25+02:00 Ridgepack, Version 1.0.1 ... Roberts, Andrew 2018 https://dx.doi.org/10.5281/zenodo.2477370 https://zenodo.org/record/2477370 unknown Zenodo https://github.com/proteanplanet/Ridgepack/tree/Tag1.0.1 https://github.com/proteanplanet/Ridgepack/tree/Tag1.0.1 https://dx.doi.org/10.5281/zenodo.1257587 Open Access info:eu-repo/semantics/openAccess Software SoftwareSourceCode article 2018 ftdatacite https://doi.org/10.5281/zenodo.247737010.5281/zenodo.1257587 2023-05-02T11:00:23Z This is a new release of Ridgepack to accompany the manuscript Roberts, A.F., E.C. Hunke, S.M. Kamal, W.H. Lipscomb, C. Horvat, W. Maslowski (2019), A Variational Method for Sea Ice Ridging in Earth System Models, J. Adv. Model Earth Sy.. Ridgepack is a MATLAB sea ice model analysis and development package designed as part of the Regional Arctic System Model (RASM) project, funded by the Department of Energy, Office of Naval Research, and National Science Foundation. It has been used to analyse output from RASM, as well as the Community Earth System Model (CESM) and Energy Exascale Earth System Model (E3SM) sea ice components, and for model developments leading to contributions to the CICE Consortium sea ice model (https://github.com/CICE-Consortium). Ridgepack libraries are readily applicable to other models that use CICE or its column package, called Icepack, including the Discrete Element Model of Sea Ice (DEMSI). One Mathematica notebook is also included in this release. ... Article in Journal/Newspaper Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
This is a new release of Ridgepack to accompany the manuscript Roberts, A.F., E.C. Hunke, S.M. Kamal, W.H. Lipscomb, C. Horvat, W. Maslowski (2019), A Variational Method for Sea Ice Ridging in Earth System Models, J. Adv. Model Earth Sy.. Ridgepack is a MATLAB sea ice model analysis and development package designed as part of the Regional Arctic System Model (RASM) project, funded by the Department of Energy, Office of Naval Research, and National Science Foundation. It has been used to analyse output from RASM, as well as the Community Earth System Model (CESM) and Energy Exascale Earth System Model (E3SM) sea ice components, and for model developments leading to contributions to the CICE Consortium sea ice model (https://github.com/CICE-Consortium). Ridgepack libraries are readily applicable to other models that use CICE or its column package, called Icepack, including the Discrete Element Model of Sea Ice (DEMSI). One Mathematica notebook is also included in this release. ... |
format |
Article in Journal/Newspaper |
author |
Roberts, Andrew |
spellingShingle |
Roberts, Andrew Ridgepack, Version 1.0.1 ... |
author_facet |
Roberts, Andrew |
author_sort |
Roberts, Andrew |
title |
Ridgepack, Version 1.0.1 ... |
title_short |
Ridgepack, Version 1.0.1 ... |
title_full |
Ridgepack, Version 1.0.1 ... |
title_fullStr |
Ridgepack, Version 1.0.1 ... |
title_full_unstemmed |
Ridgepack, Version 1.0.1 ... |
title_sort |
ridgepack, version 1.0.1 ... |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://dx.doi.org/10.5281/zenodo.2477370 https://zenodo.org/record/2477370 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://github.com/proteanplanet/Ridgepack/tree/Tag1.0.1 https://github.com/proteanplanet/Ridgepack/tree/Tag1.0.1 https://dx.doi.org/10.5281/zenodo.1257587 |
op_rights |
Open Access info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.247737010.5281/zenodo.1257587 |
_version_ |
1768383260651421696 |