Automated filling of detail in reported emission scenarios


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Silicone is a Python package which can be used to infer emissions from other emissions data. It is intended to 'infill' integrated assessment model (IAM) data so that their scenarios quantify more climate-relevant emissions than are natively reported by the IAMs themselves. It does this by comparing the incomplete emissions set to complete data from other sources. It uses the relationships within the complete data to make informed infilling estimates of otherwise missing emissions timeseries. For example, it can add emissions of aerosol precurors based on carbon dioxide emissions and infill nitrous oxide emissions based on methane, or split HFC emissions pathways into emissions of different specific HFC gases.


Silicone is free software under a BSD 3-Clause License, see LICENSE.


This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 820829 (CONSTRAIN) and No 641816 (CRESCENDO).


Silicone can be installed with pip

pip install silicone

If you also want to run the example notebooks, install additional dependencies using

pip install silicone[notebooks]

Coming soon Silicone can also be installed with conda

conda install -c conda-forge silicone


Documentation can be found at our documentation pages (we are thankful to Read the Docs for hosting us).


Please see the Development section of the docs.

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