Skip to content

Latest commit

 

History

History
72 lines (47 loc) · 4.04 KB

metarepo_template.md

File metadata and controls

72 lines (47 loc) · 4.04 KB
Raw

your zenodo badge here

lastname-etal_year_journal

A long-term global energy-economic model of carbon dioxide release from fossil fuel use

Jae Edmonds1* and John Reilly1

1 Institute for Energy Analysis, Oak Ridge Associated Universities, 1346 Connecticut Avenue, NW, Washington, DC 20036, USA

* corresponding author: [email protected]

Abstract

In this paper the authors develop a long-term global energy-economic model which is capable of assessing alternative energy evolutions over periods of up to 100 years. The authors have sought to construct the model so that it can perform its assigned task with as simple a modelling system as possible. The model structure is fully documented and a brief summary of results is given.

Journal reference

Edmonds, J., & Reilly, J. (1983). A long-term global energy-economic model of carbon dioxide release from fossil fuel use. Energy Economics, 5(2), 74-88. DOI: https://doi.org/10.1016/0140-9883(83)90014-2

Code reference

References for each minted software release for all code involved.

These are generated by Zenodo automatically when conducting a release when Zenodo has been linked to your GitHub repository. The Zenodo references are built by setting the author order in order of contribution to the code using the author's GitHub user name. This citation can, and likely should, be edited without altering the DOI.

If you have modified a codebase that is outside of a formal release, and the modifications are not planned on being merged back into a version, fork the parent repository and add a .<shortname> to the version number of the parent and construct your own name. For example, v1.2.5.hydro.

Human, I.M. (2021, April 14). Project/repo:v0.1.0 (Version v0.1.0). Zenodo. http://doi.org/some-doi-number/zenodo.7777777

Data reference

Input data

Reference for each minted data source for your input data. For example:

Human, I.M. (2021). My input dataset name [Data set]. DataHub. https://doi.org/some-doi-number

Output data

Reference for each minted data source for your output data. For example:

Human, I.M. (2021). My output dataset name [Data set]. DataHub. https://doi.org/some-doi-number

Contributing modeling software

Model Version Repository Link DOI
model 1 version link to code repository link to DOI dataset
model 2 version link to code repository link to DOI dataset
component 1 version link to code repository link to DOI dataset

Reproduce my experiment

Fill in detailed info here or link to other documentation that is a thorough walkthrough of how to use what is in this repository to reproduce your experiment.

  1. Install the software components required to conduct the experiement from Contributing modeling software
  2. Download and install the supporting input data required to conduct the experiement from Input data
  3. Run the following scripts in the workflow directory to re-create this experiment:
Script Name Description How to Run
step_one.py Script to run the first part of my experiment python3 step_one.py -f /path/to/inputdata/file_one.csv
step_two.py Script to run the last part of my experiment python3 step_two.py -o /path/to/my/outputdir
  1. Download and unzip the output data from my experiment Output data
  2. Run the following scripts in the workflow directory to compare my outputs to those from the publication
Script Name Description How to Run
compare.py Script to compare my outputs to the original python3 compare.py --orig /path/to/original/data.csv --new /path/to/new/data.csv

Reproduce my figures

Use the scripts found in the figures directory to reproduce the figures used in this publication.

Script Name Description How to Run
generate_figures.py Script to generate my figures python3 generate_figures.py -i /path/to/inputs -o /path/to/outuptdir