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https://github.com/iiasa/ENGAGE-netzero-analysis
Source code for figure generation and analysis of the ENGAGE netzero scenario analysis
https://github.com/iiasa/ENGAGE-netzero-analysis
data-visualization integrated-assessment opensource pyam scenario-analysis
Last synced: about 1 month ago
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Source code for figure generation and analysis of the ENGAGE netzero scenario analysis
- Host: GitHub
- URL: https://github.com/iiasa/ENGAGE-netzero-analysis
- Owner: iiasa
- License: mit
- Created: 2021-10-07T07:35:08.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-11-29T15:24:14.000Z (about 3 years ago)
- Last Synced: 2024-10-29T20:59:43.411Z (about 2 months ago)
- Topics: data-visualization, integrated-assessment, opensource, pyam, scenario-analysis
- Language: Jupyter Notebook
- Homepage: https://data.ece.iiasa.ac.at/engage-netzero-analysis/
- Size: 94.7 KB
- Stars: 12
- Watchers: 5
- Forks: 10
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- open-sustainable-technology - ENGAGE - Source code for figure generation and analysis of the ENGAGE netzero scenario analysis. (Climate Change / Integrated Assessment and Climate Policy)
README
# 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](LICENSE) for details.[![license](https://img.shields.io/github/license/iiasa/ENGAGE-netzero-analysis)](https://github.com/iiasa/ENGAGE-netzero-analysis/blob/main/LICENSE)
[![python](https://img.shields.io/badge/python-3.7_|_3.8_|_3.9-blue?logo=python&logoColor=white)](https://github.com/iiasa/ENGAGE-netzero-analysis)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)## Overview
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](https://doi.org/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](https://doi.org/10.5281/zenodo.5553976)The data can be accessed and downloaded via the **ENGAGE Scenario Explorer** at [https://data.ece.iiasa.ac.at/engage](https://data.ece.iiasa.ac.at/engage).
Please refer to the [license](https://data.ece.iiasa.ac.at/engage/#/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
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!](https://pyam-iamc.readthedocs.io/)### 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
This project has received funding from the European Union’s Horizon 2020 research
and innovation programme under grant agreement No. 821471 (ENGAGE).