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Change","sub_category":"Earth and Climate Modeling","monthly_downloads":15613,"total_dependent_repos":13,"total_dependent_packages":3,"readme":"[![image](https://github.com/OMS-NetZero/FAIR/actions/workflows/checks.yml/badge.svg)](https://github.com/OMS-NetZero/FAIR/actions)\n[![image](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/OMS-NetZero/FAIR/master?filepath=examples/basic_run_example.ipynb)\n[![Documentation Status](https://readthedocs.org/projects/fair/badge/?version=latest)](http://fair.readthedocs.io/en/latest/?badge=latest)\n[![image](https://zenodo.org/badge/DOI/10.5281/zenodo.1340643.svg)](https://doi.org/10.5281/zenodo.1340643)\n[![image](https://codecov.io/gh/OMS-NetZero/FAIR/branch/master/graph/badge.svg)](https://codecov.io/gh/OMS-NetZero/FAIR)\n[![image](https://img.shields.io/pypi/v/fair)](https://pypi.org/project/fair/) [![Anaconda-Server Badge](https://anaconda.org/conda-forge/fair/badges/version.svg)](https://anaconda.org/conda-forge/fair)\n\n# FaIR\n\nFaIR (the Finite-amplitude Impulse-Response) climate model is a simple\nclimate model, or *emulator*, useful for producing global mean\ntemperature projections from a wide range of emissions or prescribed\nforcing scenarios.\n\n## Requirements\n\n-   python 3.8, 3.9, 3.10, 3.11, 3.12 or 3.13\n\n## Installation\n\n### From anaconda (recommended)\n\n**NEW!** from v2.1.4, `fair` is available on `conda-forge`:\n\n    conda install -c conda-forge fair\n\nOlder versions of `fair` (1.6.2+, 2.1.0-4) can be installed from the `chrisroadmap` channel:\n\n    conda install -c chrisroadmap fair==X.Y.Z\n\n### From the Python Package Index\n\n    pip install fair\n\n### From source\n\nRefer to [the\ndocumentation](https://fair.readthedocs.io/en/latest/install.html)\n\n## Usage\n\nFaIR can be driven by emissions of greenhouse gases (GHGs) and\nshort-lived forcers (SLCFs), concentrations of GHGs, or effective\nradiative forcing (ERF), with different input methods for different\nspecies possible in the same run. If run concentration-driven, emissions\nare back-calculated. Custom GHGs and SLCFs can be defined, and all\ncomponents are optional allowing experiments such as pulse-response\nanalyses to single forcers or gathering up non-CO~2~ species as an\naggregate forcing.\n\n## Examples\n\nThe examples directory contains Jupyter notebooks with some\nsimple examples showing how to run FaIR and the standalone energy\nbalance model.\n\nIf you want to try this out online, [go\nhere](https://mybinder.org/v2/gh/OMS-NetZero/FAIR/master?filepath=examples/basic_run_example.ipynb).\n\n## Important: A note about calibrating and constraining\n\nFaIR is naive. It will run whatever climate scenario and climate\nconfiguration you give it. If you violate the laws of physics, FaIR\nwon\\'t stop you. For simple climate models as for complex, garbage in\nleads to garbage out. More subtle to spot are those analyses with simple\nclimate models where the present day warming (or historical) is wrong or\nthe climate is warming too slowly or too quickly. At least, plot a\nhistorical temperature reconstruction over your results and see if it\nlooks right.\n\nWe have produced IPCC AR6 Working Group 1 consistent probabilistic\nensembles to run with. The calibration data can be obtained\n[here](https://doi.org/10.5281/zenodo.7112539). These parameter sets are\ncalibrated to CMIP6 models, run in a large Monte Carlo ensemble, and\nconstrained based on observed and assessed climate metrics. For an\nexample of how to use this calibration data set with SSP emissions, see\n[this\nexample](https://docs.fairmodel.net/en/latest/examples/calibrated_constrained_ensemble.html).\nIf you\\'re writing a paper using FaIR, you should use these. A paper describing this method has been submitted, but for now please cite the Zenodo DOI.\n\n## Citation\n\nIf you use FaIR in your work, please cite the following references\ndepending on the version:\n\n-   **v2.0+:** Leach, N. J., Jenkins, S., Nicholls, Z., Smith, C. J.,\n    Lynch, J., Cain, M., Walsh, T., Wu, B., Tsutsui, J., and Allen, M.\n    R.: FaIRv2.0.0: a generalized impulse response model for climate\n    uncertainty and future scenario exploration, Geosci. Model Dev., 14,\n    3007--3036, \u003chttps://doi.org/10.5194/gmd-14-3007-2021\u003e, 2021\n-   **v1.1-v1.6**: Smith, C. J., Forster, P. M., Allen, M., Leach, N.,\n    Millar, R. J., Passerello, G. A., and Regayre, L. A.: FAIR v1.3: A\n    simple emissions-based impulse response and carbon cycle model,\n    Geosci. 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