RCAIDE.Library.Plots.Emissions.plot_CO2e_emissions

plot_CO2e_emissions

plot_CO2e_emissions(results, save_figure=False, show_legend=True, save_filename='CO2e_Emissions', file_type='.png', width=11, height=7)

Generate plots showing CO2-equivalent emissions over mission segments.

Parameters:

• results (Data) –

  Mission results data structure containing: results.segments[i].conditions.emissions.total with fields:

  • CO2array

    Carbon dioxide emissions [kg]

  • NOxarray

    Nitrogen oxide emissions [kg]

  • H2Oarray

    Water vapor emissions [kg]

  • Contrailsarray

    Contrail formation impact [kg CO2e]

  • Sootarray

    Particulate emissions [kg]

  • SO2array

    Sulfur dioxide emissions [kg]

• save_figure (bool, optional) – Save figure to file if True, default False

• show_legend (bool, optional) – Display segment legend if True, default True

• save_filename (str, optional) – Name for saved figure file, default “CO2e_Emissions”

• file_type (str, optional) – File extension for saved figure, default “.png”

• width (float, optional) – Figure width in inches, default 11

• height (float, optional) – Figure height in inches, default 7

Returns:

fig – Figure showing stacked emissions contributions

Return type:

matplotlib.figure.Figure

Notes

Creates a stacked area plot showing:

• Individual contributions from each emission type

• Cumulative total CO2-equivalent impact

• Breakdown by mission segment

• Time history of emissions

Different emission types are distinguished by fill colors and segments use different shades from the inferno colormap.

Definitions

‘CO2-equivalent (CO2e)’

Combined climate impact normalized to CO2

‘Global Warming Potential (GWP)’

Relative impact factor for different emissions

‘Contrail Impact’

Climate forcing from aviation-induced cloudiness