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at the time of the project analysis, a lot of datasets only had reported data up to 2018 or so. however, since then, many datasets have been updated to have more recent reported data. for example, CARB now has MRR data for 2019 and 2020. so, we can update our code and analysis to include some of this more recent data
to do list
MRR emissions for refineries
stocks_flows.R: process raw data for 2019 and 2020 MRR as well
ghg_emissions.R: use new outputs from stocks_flows.R to create updated processed ghg emissions files
refinery_ghg_factors.R: use updated combined refinery ghg emissions from ghg_emissions.R to create new ghg factors for the refining sector
fig_refined_prod_and_ghg_x_time.R: use new outputs from stocks_flows.R to plot historic ghg emissions from the refining sector
The text was updated successfully, but these errors were encountered:
at the time of the project analysis, a lot of datasets only had reported data up to 2018 or so. however, since then, many datasets have been updated to have more recent reported data. for example, CARB now has MRR data for 2019 and 2020. so, we can update our code and analysis to include some of this more recent data
to do list
stocks_flows.R
: process raw data for 2019 and 2020 MRR as wellghg_emissions.R
: use new outputs fromstocks_flows.R
to create updated processed ghg emissions filesrefinery_ghg_factors.R
: use updated combined refinery ghg emissions fromghg_emissions.R
to create new ghg factors for the refining sectorfig_refined_prod_and_ghg_x_time.R
: use new outputs fromstocks_flows.R
to plot historic ghg emissions from the refining sectorThe text was updated successfully, but these errors were encountered: