JRC Data Catalogue
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JRC-EDGARv431_AP_gridmaps

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In EDGARv4.3.1 emissions are calculated for gaseous and particulate air pollutants per sector and country. For the energy related sectors the activity data are mainly based on the energy balance statistics of IEA (2014), whereas the activity data for the agricultural sectors originate mainly from FAO (2012).

Contributors

How to cite

Janssens-Maenhout, Greet; Crippa, Monica; Guizzardi, Diego; Muntean, Marilena; Schaaf, Edwin (2026): JRC-EDGARv431_AP_gridmaps. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.Y1XTTH8 PID: http://data.europa.eu/89h/jrc-edgar-edgar_v431_gridmaps

Keywords

air pollutantemissionsgridmapinventoryretrospective scenarios

Data access

NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • In EDGARv4.3.1 emissions are calculated for gaseous and particulate air pollutants per sector and country. For the energy related sectors the activity data are mainly based on the energy balance statistics of IEA (2014), whereas the activity data for the agricultural sectors originate mainly from FAO (2012).

Publications

Publication
Crippa M, Janssens-Maenhout G, Dentener F, Guizzardi D, Muntean M, Van Dingenen R, Granier C, Sindelarova K. Forty years of improvements in European air quality: regional policy-industry interactions with global impacts. ATMOSPHERIC CHEMISTRY AND PHYSICS 16 (6); 2016. p. 3825–3841. JRC97174
COPERNICUS GESELLSCHAFT MBH, GOTTINGEN, GERMANY
  • The EDGARv4.3.1 (Emissions Database for Global Atmospheric Research) global anthropogenic emissions inventory of gaseous (SO2, NOx, CO, non-methane volatile organic compounds and NH3 and particulate (PM10, PM2.5, black and organic carbon) air pollutants for the period 1970–2010 is used to develop retrospective air pollution emissions scenarios to quantify the roles and contributions of changes in energy consumption and efficiency, technology progress and end-of-pipe emission reduction measures and their resulting impact on health and crop yields at European and global scale. The reference EDGARv4.3.1 emissions include observed and reported changes in activity data, fuel consumption and air pollution abatement technologies over the past 4 decades, combined with Tier 1 and region-specific Tier 2 emission factors. Two further retrospective scenarios assess the interplay of policy and industry. The highest emission STAG_TECH scenario assesses the impact of the technology and end-of-pipe reduction measures in the European Union, by considering historical fuel consumption, along with a stagnation of technology with constant emission factors since 1970, and assuming no further abatement measures and improvement imposed by European emission standards. The lowest emission STAG_ENERGY scenario evaluates the impact of increased fuel consumption by considering unchanged energy consumption since the year 1970, but assuming the technological development, end-of- pipe reductions, fuel mix and energy efficiency of 2010.

    Our scenario analysis focuses on the three most important and most regulated sectors (power generation, manufacturing industry and road transport), which are subject to multi-pollutant European Union Air Quality regulations. Stagnation of technology and air pollution reduction measures at 1970 levels would have led to 129% (or factor 2.3) higher SO2, 71% higher NOx and 69% higher PM2.5 emissions in Europe (EU27), demonstrating the large role that technology has played in reducing emissions in 2010. However, stagnation of energy consumption at 1970 levels, but with 2010 fuel mix and energy efficiency, and assuming current (year 2010) technology and emission control standards, would have lowered today’s NOx emissions by ca. 38%; SO2 by 50% and PM2.5 by 12% in Europe. A reduced-form chemical transport model is applied to calculate regional and global levels of aerosol and ozone concentrations and to assess the associated impact of air quality improvements on human health and crop yield loss, showing substantial impacts of EU technologies and standards inside as well as outside Europe. We assess that the interplay of policy and technological advance in Europe had substantial benefits in Europe, but also led to an important improvement of particulate matter air quality in other parts of the world.

Spatial coverage

Temporal coverage

From date To date
1970-01-01 2010-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
jrc-edgar (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2016-01-01
Created date
14 Dec 2018 10:40
Modified date
04 Feb 2026 10:15
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Dataset identifier
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