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:
Arctic
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.5255647
https://zenodo.org/record/5255647
Description
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 (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.

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