Exploring the Reproducibility for Visualization Figures in Climate Change Report - Laboratoire Interdisciplinaire des Sciences du Numérique
Conference Papers Year : 2024

Exploring the Reproducibility for Visualization Figures in Climate Change Report

Lu Ying
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Yingcai Wu
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  • PersonId : 1429892
Jean-Daniel Fekete

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.
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hal-04744236 , version 1 (18-10-2024)

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  • HAL Id : hal-04744236 , version 1

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Lu Ying, Yingcai Wu, Jean-Daniel Fekete. Exploring the Reproducibility for Visualization Figures in Climate Change Report. IEEE VIS 2024 Workshop on Visualization for Climate Action and Sustainability, Benjamin Bach; Fanny Chevalier; Helen-Nicole Kostis; Mark SubbaRao; Yvonne Jansen; Robert Soden, Oct 2024, Virtual, United States. ⟨hal-04744236⟩
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