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...

Full description

Bibliographic Details
Main Author: David Docquier
Format: Software
Language:unknown
Published: 2021
Subjects:
Arctic
Sea ice
Online Access:https://zenodo.org/record/5465066
https://doi.org/10.5281/zenodo.5465066
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 (Submitted). Causal links between Arctic sea ice and its potential drivers based on the rate of information transfer. Submitted to Geophysical Research Letters.

Similar Items