Abstract

Abstract. The Emissions Database for Global Atmospheric Research (EDGAR) estimates the human-induced emission rates on Earth. EDGAR collaborates with atmospheric modelling activities and aids policy in the design of mitigation strategies and in evaluating their effectiveness. In these applications, the uncertainty estimate is an essential component, as it quantifies the accuracy and qualifies the level of confidence in the emission. This study complements the EDGAR emissions inventory by providing an estimation of the structural uncertainty stemming from its base components (activity data, AD, statistics and emission factors, EFs) by (i) associating uncertainty to each AD and EF characterizing the emissions of the three main greenhouse gases (GHGs), namely carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O); (ii) combining them; and (iii) making assumptions regarding the cross-country uncertainty aggregation of source categories. It was deemed a natural choice to obtain the uncertainties in EFs and AD statistics from the Intergovernmental Panel on Climate Change (IPCC) guidelines issued in 2006 (with a few exceptions), as the EF and AD sources and methodological aspects used by EDGAR have been built over the years based on the IPCC recommendations, which assured consistency in time and comparability across countries. On the one hand, the homogeneity of the method is one of the key strengths of EDGAR, on the other hand, it facilitates the propagation of uncertainties when similar emission sources are aggregated. For this reason, this study aims primarily at addressing the aggregation of uncertainties' sectorial emissions across GHGs and countries. Globally, we find that the anthropogenic emissions covered by EDGAR for the combined three main GHGs for the year 2015 are accurate within an interval of −15 % to +20 % (defining the 95 % confidence of a log-normal distribution). The most uncertain emissions are those related to N2O from waste and agriculture, while CO2 emissions, although responsible for 74 % of the total GHG emissions, account for approximately 11 % of global uncertainty share. The sensitivity to methodological choices is also discussed.

Highlights

  • According to the latest release of the Emissions Database for Global Atmospheric Research (EDGAR version 5; Crippa et al, 2019, 2020a), the global greenhouse gas (GHG) emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) due to anthropogenic activities summed to Gt CO2 1 eq. in the yearIn the same year, the share of global CO2 eq from non-CO2 greenhouse gases (GHGs) emissions (i.e. CH4 and N2O) was approximately a quarter of this value

  • Solazzo et al.: Uncertainties in the EDGAR emission inventory of greenhouse gases potential compared with CO2 and their relatively shorter lifetime allow for the shift from energy-related CO2 to other, more rapidly responsive, emission sources (Janssens-Maenhout et al, 2019; United Nations Environment Programme, 2019)

  • This study addresses the uncertainty of the anthropogenic sources covered by EDGAR, which might not be exhaustive

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Summary

Introduction

According to the latest release of the Emissions Database for Global Atmospheric Research (EDGAR version 5; Crippa et al, 2019, 2020a), the global greenhouse gas (GHG) emissions of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) due to anthropogenic activities summed to Gt CO2 1 eq. in the yearIn the same year, the share of global CO2 eq from non-CO2 GHG emissions (i.e. CH4 and N2O) was approximately a quarter of this value. Measures put in place to attenuate temperature rise and to mitigate climate dynamics long-term changes have contributed to upholding the role of CH4 and N2O. E. Solazzo et al.: Uncertainties in the EDGAR emission inventory of greenhouse gases potential compared with CO2 and their relatively shorter lifetime (on average CH4 persists in the atmosphere for approximately a decade, N2O for over a century, and CO2 for more than 1000 years; NCR, 2010; Ciais et al, 2013) allow for the shift from energy-related CO2 to other, more rapidly responsive, emission sources (Janssens-Maenhout et al, 2019; United Nations Environment Programme, 2019). As depicted in the example by Olivier (1998), a sector contributing 10 % to the national reduction target may contribute 5 % or 15 % if that sector’s emission factor is ±50 % uncertain

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