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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Bibliographic Details
Main Author: Docquier, David
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2022
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.6375655
https://zenodo.org/record/6375655
id ftdatacite:10.5281/zenodo.6375655
record_format openpolar
spelling ftdatacite:10.5281/zenodo.6375655 2023-05-15T14:35:54+02:00 Liang Index to quantify causal links between Arctic sea ice and its drivers Docquier, David 2022 https://dx.doi.org/10.5281/zenodo.6375655 https://zenodo.org/record/6375655 unknown Zenodo https://github.com/ddocquier/Liang_Index/tree/v2.1 https://github.com/ddocquier/Liang_Index/tree/v2.1 https://dx.doi.org/10.5281/zenodo.5255647 Open Access info:eu-repo/semantics/openAccess SoftwareSourceCode Software article 2022 ftdatacite https://doi.org/10.5281/zenodo.6375655 https://doi.org/10.5281/zenodo.5255647 2022-04-01T17:46:53Z 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 (in review). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Submitted to Geophysical Research Letters, https://doi.org/10.1002/essoar.10507846.1. Article in Journal/Newspaper Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description 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 (in review). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Submitted to Geophysical Research Letters, https://doi.org/10.1002/essoar.10507846.1.
format Article in Journal/Newspaper
author Docquier, David
spellingShingle Docquier, David
Liang Index to quantify causal links between Arctic sea ice and its drivers
author_facet Docquier, David
author_sort Docquier, David
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
publisher Zenodo
publishDate 2022
url https://dx.doi.org/10.5281/zenodo.6375655
https://zenodo.org/record/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
https://github.com/ddocquier/Liang_Index/tree/v2.1
https://dx.doi.org/10.5281/zenodo.5255647
op_rights Open Access
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5281/zenodo.6375655
https://doi.org/10.5281/zenodo.5255647
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