AR6-WG1-Data-Compilation
Compiles the data into a uniform, csv-based data format following the standard established by the Integrated Assessment Modeling Consortium and used by IPCC WG3.
https://github.com/openscm/AR6-WG1-Data-Compilation
Category: Climate Change
Sub Category: Climate Data Processing and Analysis
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energy-system
Last synced: about 9 hours ago
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Compilation of data from AR6 WG1
- Host: GitHub
- URL: https://github.com/openscm/AR6-WG1-Data-Compilation
- Owner: openscm
- License: bsd-3-clause
- Created: 2021-08-10T13:40:18.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-08-17T00:13:24.000Z (over 3 years ago)
- Last Synced: 2025-04-17T20:38:15.447Z (10 days ago)
- Language: Jupyter Notebook
- Size: 558 KB
- Stars: 28
- Watchers: 7
- Forks: 6
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
Data Compilation & Figures from the IPCC AR6 WG1
© 2021 Contributors; licensed under the BSD-3-Clause License.
Overview
The IPCC's AR6 WG1 Report
published in August 2021 contains a lot of useful data and figures.
The data is available at the CEDA Archive
under a Creative Commons CC-BY license, but the formats are quite diverse
and not easy to handle.
Data resources
This repository compiles the data into a uniform, csv-based data format
following the standard established by the Integrated Assessment Modeling Consortium
(IAMC) and used by IPCC WG3.
The format used in this repository is directly compatible with
the scmdata and pyam Python packages (see dependencies below),
but can be easily read with Excel or scripts written in other programming languages.
Figures and analysis
This repository contains Jupyter notebooks that replicate several key figures
of the IPCC AR6 WG1 report to facilitate reproducibility of the assessment
and re-use in subsequent research and analysis.
Please see the notebooks folder for an overview!
Dependencies
The data and notebooks in this repository use the dependencies specified in environment.yml.
A high-level overview of the packages is below:
- pyam
(note that this package is distributed on pypi aspyam-iamc) - scmdata
- seaborn
- tqdm
- xarray
- notebook
The required packages can be installed with conda: conda env create -f environment.yml.
Compiling the data
The data is compiled using openscm-ar6-wg1-data-compilation compile.
This command-line interface takes a single argument, config_yaml, which defines the data sources, which data is expected, where the raw data is stored, where the outputs should be written and also includes relevant metadata.
An example is given in the root of this repository in compilation-config.yaml.
Once the data is compiled, it will be in the specified output directories and ready for use.
TODO: also spit out variables and definitions as part of compilation
For information about the data directories, see data/README.
Acknowledgement
We are grateful for the terrific work by Robin Matthews,
Özge Yelekçi, Melissa Gomis,
Lina Sitz, the CEDA Archive
and many researchers and WG1 TSU staff in compiling, validating and publishing the data
under a license that permits re-use.
Owner metadata
- Name: OpenSCM
- Login: openscm
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- Kind: organization
- Description: Building a set of open, single-interface, simple climate models
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| Name | Commits | |
|---|---|---|
| Daniel Huppmann | dh@d****t | 5 |
| Zeb Nicholls | z****s@c****g | 3 |
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Issue and Pull Request metadata
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Average time to close pull requests: about 10 hours
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Top Issue Authors
- znicholls (2)
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- znicholls (2)
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Dependencies
- iam-units >=2021.8.12
- isort
- nb_black
- notebook
- pip >=21.0
- pyam >=1.1
- pytest
- python 3.7.*
- pyyaml
- scmdata >=0.12.1
- seaborn
- tqdm
- xarray
Score: 4.0943445622221