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Volume 10, issue 4
Earth Syst. Sci. Data, 10, 1987-2013, 2018
https://doi.org/10.5194/essd-10-1987-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 1987-2013, 2018
https://doi.org/10.5194/essd-10-1987-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Peer-reviewed comment 26 Oct 2018

Peer-reviewed comment | 26 Oct 2018

Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2

Monica Crippa1, Diego Guizzardi2, Marilena Muntean1, Edwin Schaaf1, Frank Dentener1, John A. van Aardenne3, Suvi Monni4, Ulrike Doering5, Jos G. J. Olivier6, Valerio Pagliari1, and Greet Janssens-Maenhout1 Monica Crippa et al.
  • 1European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027 Ispra (VA), Italy
  • 2Didesk Informatica, Verbania, Italy
  • 3European Environment Agency, Copenhagen, Denmark
  • 4Benviroc Ltd., Helsinki, Finland
  • 5German Environment Agency, Dessau, Germany
  • 6PBL Netherlands Environmental Assessment Bureau, Den Hague, the Netherlands

Abstract. The new version of the Emissions Database for Global Atmospheric Research (EDGAR v4.3.2) compiles gaseous and particulate air pollutant emissions, making use of the same anthropogenic sectors, time period (1970–2012), and international activity data that is used for estimating GHG emissions, as described in a companion paper (Janssens-Maenhout et al., 2017). All human activities, except large scale biomass burning and land use, land-use change, and forestry are included in the emissions calculation. The bottom-up compilation methodology of sector-specific emissions was applied consistently for all world countries, providing methodological transparency and comparability between countries. In addition to the activity data used to estimate GHG emissions, air pollutant emissions are determined by the process technology and end-of-pipe emission reduction abatements. Region-specific emission factors and abatement measures were selected from recent available scientific literature and reports. Compared to previous versions of EDGAR, the EDGAR v4.3.2 dataset covers all gaseous and particulate air pollutants, has extended time series (1970–2012), and has been evaluated with quality control and quality assurance (QC and QA) procedures both for the emission time series (e.g. particulate matter – PM – mass balance, gap-filling for missing data, the split-up of countries over time, few updates in the emission factors, etc.) and grid maps (full coverage of the world, complete mapping of EDGAR emissions with sector-specific proxies, etc.). This publication focuses on the gaseous air pollutants of CO, NOx, SO2, total non-methane volatile organic compounds (NMVOCs), NH3, and the aerosols PM10, PM2.5, black carbon (BC), and organic carbon (OC). Considering the 1970–2012 time period, global emissions of SO2 increased from 99 to 103Mt, CO from 441 to 562Mt, NOx from 68 to 122Mt, NMVOC from 119 to 170Mt, NH3 from 25 to 59Mt, PM10 from 37 to 65Mt, PM2.5 from 24 to 41Mt, BC from 2.7 to 4.5Mt, and OC from 9 to 11Mt. We present the country-specific emission totals and analyze the larger emitting countries (including the European Union) to provide insights on major sector contributions. In addition, per capita and per GDP emissions and implied emission factors – the apparent emissions per unit of production or energy consumption – are presented. We find that the implied emission factors (EFs) are higher for low-income countries compared to high-income countries, but in both cases decrease from 1970 to 2012. The comparison with other global inventories, such as the Hemispheric Transport of Air Pollution Inventory (HTAP v2.2) and the Community Emission Data System (CEDS), reveals insights on the uncertainties as well as the impact of data revisions (e.g. activity data, emission factors, etc.). As an additional metric, we analyze the emission ratios of some pollutants to CO2 (e.g. CO∕CO2, NOx∕CO2, NOx∕CO, and SO2∕CO2) by sector, region, and time to identify any decoupling of air pollutant emissions from energy production activities and to demonstrate the potential of such ratios to compare to satellite-derived emission data. Gridded emissions are also made available for the 1970–2012 historic time series, disaggregated for 26 anthropogenic sectors using updated spatial proxies. The analysis of the evolution of hot spots over time allowed us to identify areas with growing emissions and where emissions should be constrained to improve global air quality (e.g. China, India, the Middle East, and some South American countries are often characterized by high emitting areas that are changing rapidly compared to Europe or the USA, where stable or decreasing emissions are evaluated). Sector- and component-specific contributions to grid-cell emissions may help the modelling and satellite communities to disaggregate atmospheric column amounts and concentrations into main emitting sectors. This work addresses not only the emission inventory and modelling communities, but also aims to broaden the usefulness of information available in a global emission inventory such as EDGAR to also include the measurement community. Data are publicly available online through the EDGAR website http://edgar.jrc.ec.europa.eu/overview.php?v=432_AP and registered under https://doi.org/10.2904/JRC_DATASET_EDGAR.

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EDGAR v4.3.2 is a global bottom-up emission inventory providing consistent anthropogenic emissions of gaseous and particulate air pollutants for 1970–2012 (with annual and monthly resolution) and grid maps with 0.1° × 0.1° resolution. We compare world regions using per capita and per GDP emissions, implied emissions per unit of energy, and emission ratios of co-emitted pollutants. We also show the growth of high-emitting areas (e.g. China, India) and the implications for global air quality.
EDGAR v4.3.2 is a global bottom-up emission inventory providing consistent anthropogenic...
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