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[LICENSE](LICENSE).\n\n[![PyPI](https://img.shields.io/pypi/v/globalwarmingpotentials.svg?style=for-the-badge)](https://pypi.org/project/globalwarmingpotentials/)\n[![Conda-Forge](https://img.shields.io/conda/v/conda-forge/globalwarmingpotentials?style=for-the-badge)](https://anaconda.org/conda-forge/globalwarmingpotentials)\n[![npm](https://img.shields.io/npm/v/globalwarmingpotentials.svg?style=for-the-badge)](https://www.npmjs.com/package/globalwarmingpotentials)\n\nGlobal warming potentials of greenhouse gases.\n\n## GWP metrics included in this repository\n\n### 100-year-GWP from IPCC reports\n\n- Second Assessment Report (SAR) - **SARGWP100**\n  [Data source](https://www.ghgprotocol.org/sites/default/files/ghgp/Global-Warming-Potential-Values%20%28Feb%2016%202016%29_1.pdf)\n- Third Assessment Report (TAR) - **TARGWP100**\n  [Data source](https://www.ipcc.ch/site/assets/uploads/2018/03/WGI_TAR_full_report.pdf), page 388 Table 6.7\n- Fourth Assessment Report (AR4) - **AR4GWP100**\n  [Data source](https://www.ghgprotocol.org/sites/default/files/ghgp/Global-Warming-Potential-Values%20%28Feb%2016%202016%29_1.pdf)\n- Fifth Assessment Report (AR5) - **AR5GWP100**\n  [Data source](https://www.ghgprotocol.org/sites/default/files/ghgp/Global-Warming-Potential-Values%20%28Feb%2016%202016%29_1.pdf)\n- Sixth Assessment Report (AR6) - **AR6GWP100**\n  [Data Source](https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_07_Supplementary_Material.pdf)\n  [CSV file](https://github.com/chrisroadmap/ar6/blob/main/data_output/7sm/metrics_supplement_cleaned.csv)\n\n### 20-year-GWP from IPCC reports\n\n- Third Assessment Report (TAR) - **TARGWP20**\n  [Data source](https://www.ipcc.ch/site/assets/uploads/2018/03/WGI_TAR_full_report.pdf), page 388 Table 6.7\n- Sixth Assessment Report (AR6) - **AR6GWP20**\n  [Data Source](https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_07_Supplementary_Material.pdf)\n  [CSV file](https://github.com/chrisroadmap/ar6/blob/main/data_output/7sm/metrics_supplement_cleaned.csv)\n\n### 500-year-GWP from IPCC reports\n\n- Third Assessment Report (TAR) - **TARGWP500**\n  [Data source](https://www.ipcc.ch/site/assets/uploads/2018/03/WGI_TAR_full_report.pdf), page 388 Table 6.7\n- Sixth Assessment Report (AR6) - **AR6GWP500**\n  [Data Source](https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_07_Supplementary_Material.pdf)\n  [CSV file](https://github.com/chrisroadmap/ar6/blob/main/data_output/7sm/metrics_supplement_cleaned.csv)\n\n### 100-year-GTP from IPCC reports\n\n- Sixth Assessment Report (AR6) - **AR6GTP100**\n  [Data Source](https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Chapter_07_Supplementary_Material.pdf)\n  [CSV file](https://github.com/chrisroadmap/ar6/blob/main/data_output/7sm/metrics_supplement_cleaned.csv)\n\n### 100-year-GWP including climate carbon cycle feedbacks\n\n- Fifth Assessment Report (AR5) - **AR5CCFGWP100**\n  Data sources:\n  - [Table 8.SM.16](https://www.ipcc.ch/site/assets/uploads/2018/07/WGI_AR5.Chap_.8_SM.pdf)\n  - [Table 8.7](https://www.ipcc.ch/site/assets/uploads/2018/02/WG1AR5_Chapter08_FINAL.pdf)\n    (page 714)\n\n## CSV file\n\nCSV file: [globalwarmingpotentials.csv](./globalwarmingpotentials.csv)\n\n## Python\n\n```\npip install globalwarmingpotentials\n```\n\nExample usage:\n\n```python\nimport globalwarmingpotentials as gwp\n\nprint(gwp.data[\"AR5GWP100\"][\"CH4\"])  # prints '28'\n\ndf = gwp.as_frame()  # Returns a Pandas DataFrame\n```\n\n## Node\n\n```\nnpm install globalwarmingpotentials\n```\n\n## Releasing\n\nAfter running\n\n```\nmake\n```\n\nto update the Python and JS libraries\n\nrunning\n```\nmake tag\n```\n\nand pushing with\n```\ngit push origin main --tags\n```\n\na new releases on PyPI and NPM will be 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