Exploring the Reproducibility for Visualization Figures in Climate Change Report
Lu Ying - Zhejiang University, Hangzhou, China. INRIA, Saclay, France
Yingcai Wu - Zhejiang University, Hangzhou, China
Jean-Daniel Fekete - Inria, Saclay, France
Room: Esplanade Suites I + II + III
2024-10-14T12:30:00ZGMT-0600Change your timezone on the schedule page
2024-10-14T12:30:00Z
Abstract
The Intergovernmental Panel on Climate Change (IPCC) plays a pivotal role in assessing and communicating climate science through its comprehensive reports. Despite the IPCC's efforts to provide source code and data for report figures, reproducing these figures is still challenging. This paper details our approach and the obstacles encountered in creating reproducible visualizations from the IPCC Working Group 1 data. Our work involved developing a set of front-end GitHub repositories that build upon the IPCC's original resources, incorporating reproducibility instructions and scripts to closely replicate the report’s figures. By providing reproducible figures, we aim to enhance public engagement and contribution to climate change communication, ensuring accuracy and facilitating iterative improvements in figure presentation.