/mcmanamay-etal_2023_natclim

Primary LanguagePythonBSD 2-Clause "Simplified" LicenseBSD-2-Clause

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mcmanamay-etal_2023_natclim

paper name TODO

Author Lastname1* and Author Lastname1

1 Institute name, address

* corresponding author: email@myorg.gov

Abstract

In this paper TODO

Journal reference

TODO

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

Graham N.T., M.I. Hejazi, M. Chen, E. Davies, J.A. Edmonds, S.H. Kim, and S. Turner, et al. (2020). GCAM v4.3 SSP-RCP-GCM Output Databases [Data set]. DataHub. https://data.pnnl.gov/group/nodes/dataset/13224

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