Preprints
https://doi.org/10.5194/egusphere-2024-761
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/egusphere-2024-761
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Status: this preprint is open for discussion.
pathways-ensemble-analysis v1.0.0: an open-source library for systematic and robust analysis of pathways ensembles
Abstract. Ensembles of mitigation pathways, produced by multiple different models, are becoming increasingly influential as the world seeks to define climate goals and implement policy to meet them. In this context a range of open-source code has been developed to standardise and facilitate the systematic and robust analysis of mitigation pathways. We introduce a new open-source package, pathways-ensemble-analysis which provides an object-oriented framework for the key steps in analysis, describing its structure and providing an illustrative example of its use. This tool is a further step which can help the community in conducting best practice in pathways-ensemble analysis.
How to cite. Welder, L., Grant, N., and Gidden, M. J.: pathways-ensemble-analysis v1.0.0: an open-source library for systematic and robust analysis of pathways ensembles, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-761, 2024.
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Lara Welder
CORRESPONDING AUTHOR
Climate Analytics, Berlin, Germany
Neil Grant
Climate Analytics, Berlin, Germany
Matthew J. Gidden
Climate Analytics, Berlin, Germany
International Institute for Applied System Analysis, Laxenburg, Austria
Short summary
Pathways investigating the link between emissions and global warming have been continuously used to inform climate policy. We have developed a tool that can facilitate the systematic and robust analysis of ensembles of such pathways. We describe the structure of this tool and then show an illustrative application of it. The application indicates the usefulness of the tool to the research community and shows how it can be used to establish best-practices.
Pathways investigating the link between emissions and global warming have been continuously used...