Liang Index to quantify causal links between Arctic sea ice and its drivers
This repository provides the Python scripts to produce the figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to better understand causal links between Arctic sea ice and its potential drivers: Docquier, D., S. Vannitsem, F. Ragone, K. Wyser, X. S. Lian...
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Online Access: | https://zenodo.org/record/6375655 https://doi.org/10.5281/zenodo.6375655 |
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ftzenodo:oai:zenodo.org:6375655 2023-05-15T14:35:52+02:00 Liang Index to quantify causal links between Arctic sea ice and its drivers David Docquier 2022-03-22 https://zenodo.org/record/6375655 https://doi.org/10.5281/zenodo.6375655 unknown https://github.com/ddocquier/Liang_Index/tree/v2.1 doi:10.1029/2021GL095892 doi:10.5281/zenodo.5255647 https://zenodo.org/record/6375655 https://doi.org/10.5281/zenodo.6375655 oai:zenodo.org:6375655 info:eu-repo/semantics/openAccess info:eu-repo/semantics/other software 2022 ftzenodo https://doi.org/10.5281/zenodo.637565510.1029/2021GL09589210.5281/zenodo.5255647 2023-03-11T03:04:56Z This repository provides the Python scripts to produce the figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to better understand causal links between Arctic sea ice and its potential drivers: Docquier, D., S. Vannitsem, F. Ragone, K. Wyser, X. S. Liang (2022). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Geophysical Research Letters, 49(9), https://doi.org/10.1029/2021GL095892. Software Arctic Sea ice Zenodo Arctic |
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This repository provides the Python scripts to produce the figures of the study carried out in the framework of the JPI-Oceans / JPI-Climate ROADMAP project to better understand causal links between Arctic sea ice and its potential drivers: Docquier, D., S. Vannitsem, F. Ragone, K. Wyser, X. S. Liang (2022). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Geophysical Research Letters, 49(9), https://doi.org/10.1029/2021GL095892. |
format |
Software |
author |
David Docquier |
spellingShingle |
David Docquier Liang Index to quantify causal links between Arctic sea ice and its drivers |
author_facet |
David Docquier |
author_sort |
David Docquier |
title |
Liang Index to quantify causal links between Arctic sea ice and its drivers |
title_short |
Liang Index to quantify causal links between Arctic sea ice and its drivers |
title_full |
Liang Index to quantify causal links between Arctic sea ice and its drivers |
title_fullStr |
Liang Index to quantify causal links between Arctic sea ice and its drivers |
title_full_unstemmed |
Liang Index to quantify causal links between Arctic sea ice and its drivers |
title_sort |
liang index to quantify causal links between arctic sea ice and its drivers |
publishDate |
2022 |
url |
https://zenodo.org/record/6375655 https://doi.org/10.5281/zenodo.6375655 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://github.com/ddocquier/Liang_Index/tree/v2.1 doi:10.1029/2021GL095892 doi:10.5281/zenodo.5255647 https://zenodo.org/record/6375655 https://doi.org/10.5281/zenodo.6375655 oai:zenodo.org:6375655 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.637565510.1029/2021GL09589210.5281/zenodo.5255647 |
_version_ |
1766308609591869440 |