Abstract
pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems
Highlights
Quantitative model-based scenarios of the human and earth systems play a critical role in the scientific analysis of climate change mitigation options and sustainable development policies
Perhaps the most visible among these projects is the assessment of pathways from Integrated Assessment Models (IAM) and other numerical frameworks by the Intergovernmental Panel on Climate Change (IPCC) in its periodical reports
Pyam is a tool that enables researchers to explore, categorize, and visualize scenario data such as the scenario ensembles assessed by the IPCC
Summary
Quantitative model-based scenarios of the human and earth systems play a critical role in the scientific analysis of climate change mitigation options and sustainable development policies. Perhaps the most visible among these projects is the assessment of pathways from Integrated Assessment Models (IAM) and other numerical frameworks by the Intergovernmental Panel on Climate Change (IPCC) in its periodical reports. N.d.)), a scenario ensemble underpinning the quantitative assessment was compiled and released to facilitate transparency of the assessment and replicability of the findings in the report (Huppmann, Rogelj, Kriegler, Krey, & Riahi, 2018).
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