Copyright (c) 2021 IIASA Energy, Climate, and Environment Program
This repository is released under the MIT License; see the LICENSE for details.
This repository contains Jupyter notebooks to generate figures and analysis for the following manuscript:
Keywan Riahi, Christoph Bertram, Daniel Huppmann, et al.
Cost and attainability of meeting stringent climate targets without overshoot
Nature Climate Change, 2021
doi: 10.1038/s41558-021-01215-2
The scenario data used in this analysis should be cited as:
ENGAGE Global Scenarios (Version 2.0)
doi: 10.5281/zenodo.5553976
The data can be accessed and downloaded via the ENGAGE Scenario Explorer at https://data.ece.iiasa.ac.at/engage.
Please refer to the license of the scenario ensemble before redistributing this data or adapted material.
The source code of this notebook is available on GitHub
at https://github.com/iiasa/ENGAGE-netzero-analysis.
A rendered version can be seen at https://data.ece.iiasa.ac.at/engage-netzero-analysis.
ENGAGE is a global consortium, which explores the feasibility of pathways that can meet the objectives of the Paris Agreement. Visit http://www.engage-climate.org for more information!
The notebooks and scripts in this repository use pyam, an open-source Python package for analysis and visualization of integrated-assessment scenarios. Read the docs!
To install the pyam package, simply run the following in a command line:
pip install pyam-iamc
This command also installs all other dependencies used in the notebooks and scripts.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 821471 (ENGAGE).