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ENGAGE - Analysis of net-zero budget scenarios

Copyright (c) 2021 IIASA Energy, Climate, and Environment Program

This repository is released under the MIT License; see the LICENSE for details.

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Overview

<img src="./_static/ENGAGE.png" width="80" height="54" align="left" alt="ENGAGE logo" />

This repository contains Jupyter notebooks to generate figures and analysis for the following manuscript:

Keywan Riahi, Christoph Bertram, Daniel Huppmann, et al. <br /> Cost and attainability of meeting stringent climate targets without overshoot <br /> Nature Climate Change, 2021 <br /> doi: 10.1038/s41558-021-01215-2

The scenario data used in this analysis should be cited as:

ENGAGE Global Scenarios (Version 2.0) <br /> 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.

About the ENGAGE project

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!

Dependencies

<div style="float: right; " > <a href="https://pyam-iamc.readthedocs.io/"> <img style="height: 80px;" src="https://github.com/IAMconsortium/pyam/raw/main/doc/logos/pyam-logo.png"> </a> </div>

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!

Installation

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.

Funding acknowledgement

<img src="./_static/EU-logo.jpg" width="80" height="54" align="left" alt="EU logo" /> This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 821471 (ENGAGE).