Copyright 2021 Daniel Huppmann; this repository is released under the MIT License.

This repository holds a Jupyter notebook for a live-demo of the pyam package given as part the Strommarkttreffen-Online seminar series on July 14, 2021.

The Jupyter notebook is based on the advanced assignment of the Modelling Lab, which was part of the Climate Risks Academy 2021 organized by the European University Institute (EUI) Florence School of Banking and Finance in cooperation with Oliver Wyman.

The scenario data used in this tutorial notebook is taken from the NGFS Scenario Explorer hosted by IIASA, Phase 2 (June 2021).

The slides for the presentation are available at the DOI 10.22022/IACC/07-2021.17319.

See https://www.strommarkttreffen.org/online/ for more about the Strommarkttreffen (in German).

This exercise uses the Python package pyam, an open-source community toolbox for analysis & visualization of scenario data. The package was developed to facilitate working with timeseries scenario data conforming to the format developed by the Integrated Assessment Modeling Consortium (IAMC). The package is used in ongoing assessments by the IPCC and in many model comparison projects at the global and national level, including several Horizon 2020 projects.

Read the docs for more information!

To run the notebooks on your machine, please install Python version 3.7 or higher. To install the required packages and dependencies, download or git-clone this repository and run the following command in the root folder:

pip install -r requirements.txt