Description
Gridmaps of greenhouse gas and air pollutant emissions
from 1970 till 2008 for all world countries with sector-specific and monthly break-down.
Contact
Contributors
-
- Greet Janssens-Maenhout
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- Monica Crippa
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- Diego Guizzardi
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- Marilena Muntean
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- Edwin Schaaf
How to cite
Janssens-Maenhout, Greet; Crippa, Monica; Guizzardi, Diego; Muntean, Marilena; Schaaf, Edwin (2011): Emissions Database for Global Atmospheric Research, version v4.2 (grid-maps). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-edgar-jrc-edgarv42_gridmaps
Keywords
emissions greenhouse gas gridmap inventory
Data access
Annual gridmaps in txt or netcdf format with sector- and country-specific emissions from 1970-2008
Publications
- Publications Office of the European Union, Luxembourg, Luxembourg
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Abstract
The Emissions Database for Global Atmospheric Research EDGAR, version 4 is managed at a JRC-server and documented with an emipedia website. The final resulting datasets of sector-specific emission inventories for all world countries and the resulting gridmaps have been published for all greenhouse gases and air pollutants and PM10 particulate matter on edgar.jrc.ec.europa.eu. These are accompanied so far with a description online, which is then worked out in more detail in the EDGAR Manual series. A first part of the EDGAR Manual series is this report "Gridding: EDGAR emissions distribution on global gridmaps". The report documents all geospatial surrogates that were collected, mainly from publicly available information sources, which were manipulated to arrive to a full set of consistent proxy data with spatial resolution of 0.1degx0.1deg. The set of a hundred proxy datasets are applied to all EDGARv4 emissions yielding the sector-specific global emission gridmaps for all substances. Except for population and the derived urban and rural population proxy datasets, the proxy do not change over time. The population proxy, taken from CIESIN is an important default for the gridding and changes over time, reflecting the migration of people. More in particular the urban population proxy, derived in-house based on a combination of population and urban settlements, the urbanisation process over the past two decades is taken up. All spatial datasets are two-dimensional, covering the globe, except for aviation. The airline distribution occurs with three distinct layers at different heights, in order to cover a minimum third dimension. The other emissions data are upon request split into two height layers, one at stack height, one at ground level, based on the type of activity. The global coverage and geospatial consistency allow to provide a consistent input to the atmospheric chemistry. In particular multipollutant sources are represented as one single point source. The usefulness of these proxy datasets is reflected by the requests for applying it on other emission inventories, such as the UNEP emissions from IIASA or the EMEP emissions at CEIP.
Geographic areas
Spatial coverage
| Type | Value |
|---|---|
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml"> <gml:outerBoundaryIs> <gml:LinearRing> <gml:coordinates>-180,89.9 179.9,89.9 179.9,-90 -180,-90 -180,89.9</gml:coordinates> </gml:LinearRing> </gml:outerBoundaryIs></gml:Polygon> |
| GML | <gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2"> <gml:exterior> <gml:LinearRing> <gml:posList>-180 89.9 179.9 89.9 179.9 -90 -180 -90 -180 89.9</gml:posList> </gml:LinearRing> </gml:exterior></gml:Polygon> |
| WKT | POLYGON ((-180 89.9, 179.9 89.9, 179.9 -90, -180 -90, -180 89.9)) |
Temporal coverage
| From date | To date |
|---|---|
| 1970-01-01 | 2008-12-31 |
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2018-12-14
- Modified date
- 2023-02-24
- Issued date
- 2011-11-30
- Landing page
- http://edgar.jrc.ec.europa.eu/overview.php?v=42
- Language(s)
- English
- Data theme(s)
- Environment, Science and technology
- Update frequency
- irregular
- Identifier
- http://data.europa.eu/89h/jrc-edgar-jrc-edgarv42_gridmaps
- Popularity
-