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Python package to calculating forcing from continuous GHG emissions

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ghgforcing

Note: Check out the example Jupyter notebook for how to use CO2 and CH4 functions

Python package to calculating forcing from continuous GHG emissions. All calculations are based on equations and parameters in the 2013 IPCC AR5 report. As such, the model does not account for changing background concentrations. But all results are consistant with the GWP values published in AR5.

The main functions are CO2 and CH4. It should be easy to add in full functions for N2O and SF6.

Methane options

The CH4 function can account for a couple of different indirect effects:

  • Decomposition of fossil CH4 to CO2
  • Climate-carbon feedbacks from increased temperatures caused by CH4 emissions

Uncertainty

A large effort has been put into including uncertainty for every parameter possible. This includes:

  • Uncertainty in the Joos et al CO2 IRF, calculated by Olivie and Peters
  • The radiative efficiencies of CO2 and CH4
  • The adjusted lifetime of CH4
  • The indirect forcing adders to CH4 from tropospheric ozone and stratospheric water vapor
  • The fraction of CH4 that oxidizes to CO2
  • The size of climate-carbon feedback effects

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Python package to calculating forcing from continuous GHG emissions

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  • Jupyter Notebook 78.9%
  • Python 21.1%