Skip to main content

Python package to perform calculations with the FAIR simple climate model

Project description

[![Build Status](https://travis-ci.org/OMS-NetZero/FAIR.svg?branch=master)](https://travis-ci.org/OMS-NetZero/FAIR)

# FAIR Finite Amplitude Impulse-Response simple climate-carbon-cycle model

## Installation 1. Make sure you have Python 2 and pip installed and are working in an environment that uses Python 2 by default 1. From terminal/command prompt pip install fair

## Usage FAIR takes emissions of greenhouse gases, aerosol and ozone precursors, and converts these into greenhouse gas concentrations, radiative forcing and temperature change.

There are two ways to run FAIR: 1. Carbon dioxide emissions only with all other radiative forcings specified externally (same behaviour as FAIR 1.0 with the same keyword arguments); 1. All species included in the RCP emissions datasets, with, optionally, solar and volcanic forcing still specified externally. For convenience, the RCP datasets are provided in the RCP subdirectory and can be imported:

` from fair.RCPs import rcp85 emissions = rcp85.Emissions.emissions `

For further information, see the example ipython notebook contained in the GitHub repo at https://github.com/OMS-NetZero/FAIR.

## References: Smith, C. J., Forster, P. M., Allen, M., Leach, N., Millar, R. J., Passerello, G. A., and Regayre, L. A.: FAIR v1.1: A simple emissions-based impulse response and carbon cycle model, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-266, in review, 2017

Millar, R. J., Nicholls, Z. R., Friedlingstein, P., and Allen, M. R.: A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions, Atmos. Chem. Phys., 17, 7213-7228, https://doi.org/10.5194/acp-17-7213-2017, 2017.

Bibtex references: @Article{gmd-2017-266, AUTHOR = {Smith, C. J. and Forster, P. M. and Allen, M. and Leach, N. and Millar, R. J. and Passerello, G. A. and Regayre, L. A.}, TITLE = {FAIR v1.1: A simple emissions-based impulse response and carbon cycle model}, JOURNAL = {Geoscientific Model Development Discussions}, VOLUME = {2017}, YEAR = {2017}, PAGES = {1–45}, URL = {https://www.geosci-model-dev-discuss.net/gmd-2017-266/}, DOI = {10.5194/gmd-2017-266} }

@Article{acp-17-7213-2017, AUTHOR = {Millar, R. J. and Nicholls, Z. R. and Friedlingstein, P. and Allen, M. R.}, TITLE = {A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions}, JOURNAL = {Atmospheric Chemistry and Physics}, VOLUME = {17}, YEAR = {2017}, NUMBER = {11}, PAGES = {7213–7228}, URL = {https://www.atmos-chem-phys.net/17/7213/2017/}, DOI = {10.5194/acp-17-7213-2017} }

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fair-1.1.2.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

fair-1.1.2-py2.py3-none-any.whl (598.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file fair-1.1.2.tar.gz.

File metadata

  • Download URL: fair-1.1.2.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for fair-1.1.2.tar.gz
Algorithm Hash digest
SHA256 25723641654291f571b9fe8b37119d10645d56203a89fa39c637ed50ea5573c1
MD5 7de8f3aa1ead5a07f7ce540104854c4d
BLAKE2b-256 e03847526e13b17679fee4b36b77044b5c7dfcab543aa0f9392949996777357e

See more details on using hashes here.

Provenance

File details

Details for the file fair-1.1.2-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for fair-1.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 a931d54214d7e5fc8d872439446c6f59e4114106753a7c1919eec6dc4dab2fc1
MD5 1b39d74e0e704a47fa30b6f144d4b294
BLAKE2b-256 caf959908ba871b6e26d48ef6d2ef8e6044591118ef6a871fe99dc5c90d281b4

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page