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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Format: | Article in Journal/Newspaper |
Language: | unknown |
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Zenodo
2021
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Online Access: | https://dx.doi.org/10.5281/zenodo.5255648 https://zenodo.org/record/5255648 |
Summary: | 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 (Submitted). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Submitted to Geophysical Research Letters. |
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