{"id":13949057,"url":"https://github.com/iiasa/ipcc_sr15_scenario_analysis","last_synced_at":"2026-01-18T14:32:07.955Z","repository":{"id":92198658,"uuid":"153016939","full_name":"iiasa/ipcc_sr15_scenario_analysis","owner":"iiasa","description":"Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C","archived":false,"fork":false,"pushed_at":"2020-09-12T05:57:12.000Z","size":395,"stargazers_count":66,"open_issues_count":15,"forks_count":33,"subscribers_count":8,"default_branch":"master","last_synced_at":"2025-12-14T17:10:38.881Z","etag":null,"topics":["climate-change","climate-change-mitigation","integrated-assessment","ipcc","pathway-analysis","scenario","sr15"],"latest_commit_sha":null,"homepage":"https://data.ene.iiasa.ac.at/sr15_scenario_analysis","language":"Jupyter 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Notebook","funding_links":[],"categories":["Climate Change"],"sub_categories":["Integrated Assessment and Climate Policy"],"readme":"# Scenario analysis notebooks \u003cbr /\u003efor the *IPCC Special Report on Global Warming of 1.5°C*\n\n## License\n\nCopyright 2018-2019 IIASA\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n    http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n## Overview\n\nThe notebooks included in this repository implement the categorisation of\nscenarios by climate impact and generate figures, tables, summary statistics,\nand assessment indicators used in the **IPCC Special Report on Global Warming\nof 1.5°C** ([SR15](http://www.ipcc.ch/report/sr15/)).\n\nSee [assessment/README](assessment/README.md) for an overview of notebooks\nand the cross-references to figures, tables and assessment in the SR15.\n\nA rendered version of this repository and the notebooks are available at\n[data.ene.iiasa.ac.at/sr15_scenario_analysis](https://data.ene.iiasa.ac.at/sr15_scenario_analysis).\n\n## Data release notes\n\nWe are using this repository to track data issues identified in the scenario\nensemble. Please check the [related issues labeled 'iamc15 data issue'](https://github.com/iiasa/ipcc_sr15_scenario_analysis/issues?utf8=✓\u0026q=label%3A%22iamc15+data+issue%22+)\nand the [data release notes](DATA_RELEASE_NOTES.md) in this repository.\n\n## Scenario ensemble download\n\nThe scenario ensemble used for this assessment \nand the metadata table of scenario categorisation and quantitative indicators\nare available for download via\nthe [IAMC 1.5°C Scenario Explorer](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer).\n\nThe scenario data is released under a custom license.\nIf appropriate reference is made to the data source, it is permitted to use\nthe data for scientific research and science communication.\nHowever, redistribution of substantial portions of the data is restricted.\n\nPlease read the guidelines and legal code\nat [data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license)\nbefore redistributing this data or adapted material.\n\nWhen using the scenario data for any analysis, figures or tables,\nplease clearly state the release version of the scenario ensemble.\n\n## Scientific references\n\nFor the **scientific assessment of the Special Report**, please cite:\n\u003e Joeri Rogelj, Drew Shindell, Kejun Jiang,\n\u003e Solomone Fifita, Piers Forster, Veronika Ginzburg, Collins Handa,\n\u003e Haroon Kheshgi, Shigeki Kobayashi, Elmar Kriegler, Luis Mundaca,\n\u003e Roland Séférian, and Maria Virginia Vilariño.  \n\u003e *Mitigation pathways compatible with 1.5°C\n\u003e in the context of sustainable development*,  \n\u003e in \"Special Report on Global Warming of 1.5°C (SR15)\".\n\u003e Intergovernmental Panel on Climate Change: Geneva, 2018.  \n\u003e url: [www.ipcc.ch/report/sr15/](https://www.ipcc.ch/report/sr15/)\n\nFor a **high-level description of the scenario ensemble**, please refer to:\n\u003e Daniel Huppmann, Joeri Rogelj, Elmar Kriegler, Volker Krey, and Keywan Riahi.  \n\u003e A new scenario resource for integrated 1.5 °C research.  \n\u003e *Nature Climate Change*, 2018.  \n\u003e doi: [10.1038/s41558-018-0317-4](https://doi.org/10.1038/s41558-018-0317-4)\n\nWhen using the **scenario ensemble data** for own analysis, please cite:\n\u003e Daniel Huppmann, Elmar Kriegler, Volker Krey, Keywan Riahi, Joeri Rogelj,\n\u003e Katherine Calvin, Florian Humpenoeder, Alexander Popp,\n\u003e Steven K. Rose, John Weyant, et al.,  \n\u003e *IAMC 1.5°C Scenario Explorer and Data hosted by IIASA*.  \n\u003e Integrated Assessment Modeling Consortium \u0026 International Institute for Applied Systems Analysis, 2019.  \n\u003e doi: [10.5281/zenodo.33633459](https://doi.org/10.5281/zenodo.3363345) |\n\u003e url: [data.ene.iiasa.ac.at/iamc-1.5c-explorer](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer)\n\nFor the **Jupyter notebooks containing figure plotting and analysis scripts**\nincluded in this repository, please cite:\n\u003e Daniel Huppmann et al.,\n\u003e *Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C*. 2018.  \n\u003e doi: [10.22022/SR15/08-2018.15428](https://doi.org/10.22022/SR15/08-2018.15428) |\n\u003e url: [github.com/iiasa/ipcc_sr15_scenario_analysis](https://github.com/iiasa/ipcc_sr15_scenario_analysis)\n\nPlease refer to the [AUTHORS](AUTHORS.md) document for the full list of authors\nof the scenario ensemble and the notebooks in this repository.\n\nYou can download these citations and the references\nfor all studies that submitted scenarios to the ensemble\nas [Endnote (enl)](bibliography/iamc_1.5c_scenario_data.enl),\n[Reference Manager (ris)](bibliography/iamc_1.5c_scenario_data.ris),\nand [BibTex (bib)](bibliography/iamc_1.5c_scenario_data.bib) format.\n\n## Dependencies\n\nThe notebooks included in this repository depend on the *pyam* package,\nan open-source Python package for IAM scenario analysis and visualization\ndeveloped by Matthew Gidden ([@gidden](https://github.com/gidden))\nand Daniel Huppmann ([@danielhuppmann](https://github.com/danielhuppmann/)).\n\nSee [pyam-iamc.readthedocs.io](https://pyam-iamc.readthedocs.io)\nfor installation instructions and the full documentation of *pyam*.\nThe source code is available at [github.com/IAMconsortium/pyam](https://github.com/IAMconsortium/pyam).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiiasa%2Fipcc_sr15_scenario_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiiasa%2Fipcc_sr15_scenario_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiiasa%2Fipcc_sr15_scenario_analysis/lists"}