Specifications of the Industry Footprint Calculator
The overall concept and development of the Industry Footprint Calculator is based on the work outlined in the paper by Müller, M. (2021).
(1) Abundances
Abundances are regularly measured atmospheric concentrations of greenhouse gases. The three most important anthropogenic greenhouse gases (GHG) are considered here. The gas concentrations determine the radiative forcings (RF), however not linearly, but as a function of the saturation levels and in mutual dependence on each other. Therefore, their content can determine the global warming potentials (GWP) of CH4 and N2O and thus influence the industry’s contributions to global warming.
Most current data can be accessed from the Global Monitoring Laboratory (GML) of the National Oceanic and Atmospheric Administration (USA): https://www.esrl.noaa.gov/gmd/ccgg/trends or from the The World Data Centre for Greenhouse Gases (Japan): https://gaw.kishou.go.jp.
The fields are pre-filled with data from November 2020 to March 2021.
(2) CH4 Indirect Forcings
The concentration of CH4 has a certain RF. However, since methane has indirect effects on other GHGs, the actual forcing of CH4 is approximately twice as high or even higher.
- Through several chemical interactions, CH4 leads to an increase in tropospheric and stratospheric ozone which is estimated to be additional 50% to the direct effect (here denoted as iF1).
- CH4 decomposes to stratospheric H2O being about 15% of the direct effect (here denoted as iF2).
- CH4 interacts with sulphate and degrades this cooling aerosol, which accounts for a further 30% forcing above the direct effect (here denoted as iF3).
- Experiments showed that increases in global methane emissions cause significant decrease in hydroxyl, leading to a negative feedback loop for CH4 decomposition and thus increasing CH4 potency (here denoted as iF4).
- CH4 finally decomposes to CO2. Since the amounts are small, the forcing effects (< 1%) are not specifically integrated in the models.
The IPCC and almost all other studies and reports only consider indirect effects 1 & 2 to calculate the Global Warming Potentials of CH4 and N2O. Effects 1 & 2 are pre-populated with estimates from Myhre et al. (2013), effects 3 & 4 are described by Shindell et al. (2009), although only effect 3 is pre-populated here due to uncertainties about the magnitude of effect 4.
(3) Radiative Forcings
RF is the additional energy per second trapped in the atmosphere by current GHGs and aerosols that have been emitted due to human activities since the beginning of the industrial era (year 1750). The RFs of the different greenhouse gases can be calculated using radiative transfer models, developed by Myhre et al. (1998) and further specified by Myhre et al. (2013) for the IPPC report AR5. The models used here have uncertainties of only about 10%.
Calculation of RFCO2
$$RF_{CO2} = αln \left (\frac {C}{C_0} \right )$$
where α=5.35, C0=278ppm and C is the entered current global mean atmospheric concentration of CO2.
Calculations of RFCH4 and RFN2O
$$RF_{CH4} = (1+iF_1+iF_2+iF_3+iF_4) × (β(\sqrt{M}-\sqrt{M_0})-(f(M,N_0)-f(M_0,N_0)))$$
$$RF_{N2O} = ε (\sqrt{N}-\sqrt{N_0})-(f(M_0,N)-f(M_0,N_0)) $$
where iFx are the indirect CH4 forcing effects as entered in (2), β=0.036, ε=0.12, Mo=722ppb, N0=270ppb, and M, N are the entered current global mean atmospheric concentrations of CH4 and N2O respectively and $$f(M,N)=0.47 ln \left (1+2.01× 10^{-5} × (MN)^{0.75} + 5.31 × 10^{-15} × M(MN)^{1.52} \right )$$
(4) Global Warming Potential
GWPs express how much more energy a one-time pulse of a given mass of gas traps in the atmosphere compared to a one-time pulse of an equal mass of CO2 over a defined period of time. The calculations of GWPs are defined by Myhre et al. (2013) in the IPCC report AR5.
$$GWP_g (H) = \frac {\int_0^H RF_g(t)~dt}{\int_0^H RF_{CO2}(t)~dt} = \frac {AGWP_g(H)}{AGWP_{CO2}(H)}$$
where H is the time horizon and AGWP the absolute (time integrated) GWP of gas g or CO2. RFg is the radiative forcing due to a pulse emission of a gas g given by RFg = AgRg where Ag is the RFg per unit mass increase in atmospheric abundance of species g (radiative efficiency (RE) per unit mass), and Rg is the fraction of species g remaining in the atmosphere after the pulse emissions. RFCO2 is the radiative forcing of CO2.
Calculation of AGWPCO2
$$AGWP_{CO2} (H) = A_{CO2} \left (a_0H + \sum\limits_{i = 1}^3 {a_i T_i} \left (1 ‑exp \left (- \frac {H}{T_i} \right ) \right ) \right )$$
where H is the time horizon, ai are fractions of abundances, Ti are timescales. According to models by Joos et al. (2013), a0 = 0.2173, a1 = 0.2240, a2 = 0.2824, a3 = 0.2763, T1 = 394.4, T2 = 36.54, T3 = 4.304 and
$$A_{CO2} = RE_{CO2} × M_{CO2}^{-1} = \left ((RF_{CY} — RF_{2010}) ×(C_{CY} — C_{2010})^{-1} \right ) × M_{CO2}^{-1} $$
where RFCY is the Radiative Forcing at the entered CO2 levels of the current year based on calculations in (3), RF2010 is the Radiative Forcing in 2010, CCY is the atmospheric concentration of CO2 at the year entered, C2010 is the atmospheric concentration of CO2 in 2010 and MCO2 is the molar mass of CO2.
Calculation of AGWPCH4
$$AGWP_{CH4} (H) = A_{CH4} × T × \left (1 ‑exp \left (- \frac {H}{T} \right ) \right )$$
where H is the time horizon, T the pertubation lifetime of CH4 of 12.4 years and
$$A_{CH4} = RE_{CH4} × M_{CH4}^{-1} = \left ((RF_{CY} — RF_{2010}) ×(M_{CY} — M_{2010})^{-1} \right ) × M_{CH4}^{-1} $$
where RFCY is the Radiative Forcing at the entered CH4 levels of the current year including indirect CH4 forcings based on calculations in (2) and (3), RF2010 is the Radiative Forcing in 2010, MCY is the atmospheric concentration of CH4 at the year entered, M2010 is the atmospheric concentration of CH4 in 2010 and MCH4 is the molar mass of CH4.
Calculation of AGWPN2O
$$AGWP_{N2O} (H) = A_{N2O} \left (1–0.36 \left (\frac{RE_{CH4}}{RE_{N2O}} \right ) \right )× T × \left ( 1 ‑exp \left (- \frac {H}{T} \right ) \right )$$
where H is the time horizon, T the pertubation lifetime of N2O of 121 years and
$$A_{N2O} = RE_{N2O} × M_{N2O}^{-1} = \left ((RF_{CY} — RF_{2010}) ×(N_{CY} — N_{2010})^{-1} \right ) × M_{N2O}^{-1} $$
where RFCY is the Radiative Forcing at the entered N2O levels of the current year based on calculations in (3), RF2010 is the Radiative Forcing in 2010, NCY is the atmospheric concentration of N2O at the year entered and N2010 is the atmospheric concentration of N2O in 2010 and MN2O is the molar mass of N2O.
Time horizon H is preset to 0 years, which calculates instantaneous global warming potentials (GWPins).
(5) Emissions & Carbon Opportunity Costs
Direct emissions of CH4, CO2, N2O, and Carbon Opportunity Costs (COC) are the main drivers of current contributions to anthropogenic global warming. Carbon Opportunity Costs are defined as unused carbon sinks, measured in Gt CO2, lost by a food system with animal agriculture versus a purely plant-based food system.
Direct emissions are pre-filled with values from the 2019 IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems (p. 10).
Carbon Opportunity Costs are pre-filled with calculations by Müller, M. (2021).
(6) Emissions per industry
The emissions of greenhouse gases by industries are pre-filled with results from calculations by Müller, M. (2021), based on data by FAOSTAT of the UN Food and Agriculture Organization (2020), the Global Change Data Lab (2020), the International Energy Agency (2020), the FAO report Livestock’s Long Shadow (2006) and the World Resource Institute (2020).
(7) Industry Contributions to Global Warming
The contribution of animal agriculture to global warming (CGWAA) is
$$ CGW_{AA} = \frac {E_{CH4}P_{CH4[AA]}GWP_{CH4}+E_{CO2}P_{CO2[AA]}+E_{N2O}P_{N2O[AA]}GWP_{N2O}+COC}{E_{CH4}GWP_{CH4}+E_{CO2}+E_{N2O}GWP_{N2O}+COC} × 100 \% $$
and the contributions of all other industries (CGWI) are
$$ CGW_{I} = \frac {E_{CH4}P_{CH4[I]}GWP_{CH4}+E_{CO2}P_{CO2[I]}+E_{N2O}P_{N2O[I]}GWP_{N2O}}{E_{CH4}GWP_{CH4}+E_{CO2}+E_{N2O}GWP_{N2O}+COC} × 100 \% $$
where E are global emissions of CH4, CO2 and N2O, P the portions of different industries I per species, GWP the global warming potentials of CH4 and N2O as calculated in (4) and COC the carbon opportunity costs of animal agriculture.
References
Global Change Data Lab: Our World in Data, 2020, data based on FAOSTAT (FAO, 2016) for Agriculture total, Land Use sources and Forest and on the EDGAR Database (JRC/PBL, 2016) for the other sectors. Available at https://ourworldindata.org. Accessed June 21, 2020
International Energy Agency, Data and statistics, 2020, Available at https://www.iea.org. Accessed June 21, 2020
Joos, F. et al., 2013: Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics — a multi-model analysis. Atmos. Chem. Phys., 13, 2793–2825, 2013. Available at https://doi.org/10.5194/acp-13–2793-2013. Accessed April 12, 2021
Müller, M. (2021): The contributions of animal agriculture and major fossil-fuel-based industries to global warming. Available at https://doi.org/10.13140/RG.2.2.22613.35040/1. Accessed April 12. 2021
Myhre, G., et al., 1998: New estimates of radiative forcing due to well mixed greenhouse gases. Geophys. Res. Lett., 25, Pp. 2715–2718. Available at https://doi.org/10.1029/98GL01908. Accessed April 12, 2021
Myhre, G., et al., 2013: Anthropogenic and Natural Radiative Forcing Supplementary Material. In: Climate Change 2013: The Physical Science Basis. Available at www.climatechange2013.org and www.ipcc.ch. Accessed April 12, 2021
Shindell, D.T., et al., 2009: Improved attribution of climate forcing to emissions. In: Science, 326, 716–718. Available at https://doi.org/10.1126/science.1174760. Accessed April 12, 2021
United Nations Food and Agriculture Organization, FAOSTAT, 2020, Available at www.fao.org/faostat. Accessed June, 21, 2020
United Nations Food and Agricultural Organization, 2006: Livestock’s Long Shadow, Environmental Issues and Options. Chief, Electronic Publishing Policy and Support Branch, Communication Division – FAO, Viale delle Terme di Caracalla, 00153 Rome, Italy. Available at http://www.fao.org/3/a0701e/a0701e00.htm. Accessed June, 21, 2020
World Resources Institute, CAIT Climate Data Explorer, 2020, Available at https://www.climatewatchdata.org. Accessed June, 21, 2020