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ZENODO
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ZENODO
Software . 2021
License: CC BY
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Supporting information for the paper "Choices in land representation materially affect biofuel carbon intensity estimates"

Authors: Plevin, Richard J; Jones, Jason; Kyle, Page; Levy, Aaron W.; Shell, Michael J.; Tanner, Daniel J.;

Supporting information for the paper "Choices in land representation materially affect biofuel carbon intensity estimates"

Abstract

Various assets supporting the implementation of the models used in the paper "Choices in land representation materially affect biofuel carbon intensity estimates". These include: Spreadsheets with data used to create (i) new geographic regionalization, and (ii) new land representation Python scripts that extract CSV files from the above and format them as required for the GCAM data system Modified input files used in the GCAM data system (generated from the spreadsheets and scripts above) Modified R script to handle new land representation, including files generated by the above Input files for pygcam to run the scenarios modeled, and to compute carbon intensity README file

Keywords

GCAM, land-use change, biofuel

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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