This project maps CO2 emissions across Europe. The aim is to estimate an emissions inventory for each of the ~116 000 administrative jurisdictions across Europe and the UK.
The model spatially disaggregates each country's official (Eurostat) CO2 emissions inventory to places using OpenStreetMap. Vehicle emissions are attributed across fuel stations, train emissions at stations, aviation bunker fuel emissions at airports, and so on. Industrial source emissions are located at the registered address where these emissions phyiscally occur or are legally controlled. Data are for the year 2018.
The dataset is available in tabular, raster and vector formats. The data are for the year 2018. Emissions are reported in units of metric tonnes (t) CO2.
The version provided at this page is OpenGHGMap R2021A.
An interactive visualization of the latest version of the dataset is available at: https://openghgmap.net
Emissions estimates for cities and states are available in Excel format and text format. The summary file contains results for each administrative level, and the 'onlycities' files contain results for just the most detailed admin level in each country. (The latter file is intended to help with municipal-level analyses, since municipalities may be defined at various levels, typically around 7-10, in different countries.) Region population estimates are taken from GHS-POP.
Excel file with all admin levels: allcountries_summary.xlsx
Excel file with only the highest detail admin level (just cities): allcountries_onlycities_summary.xlsx
TSV file: allcountries_summary.zip (tab-delimited; UTF-8 encoded)
This download provides the total emisions in each region, itemized using the following categories:
A gridded version of the dataset is available as a GeoTIFF in EPSG:4326 equirectagular / plate carrée projection.
This data product will be published later in the year.
At 9 arcsecond resolution:
At 30 arcsecond resolution:
This zip file provides GeoJSON files with results per administrative unit. The GeoJSON features provide the spatial extent (polygon) and properties for each region including the name, total CO2 emissions of the region (in tonnes), emisisons itemized by category, and a list of ETS-registered facilities. These regions are taken from OpenStreetMap. At the present time we do not offer results in the NUTS system.
Note: Each feature is a single polygon. Regions which consist of multiple polygons will occur multiple times; that is, regions do not use FeatureCollections or MultiPolygons.
Note: The visualization presented at this website has been adjusted to account for the fact that administrative levels are not used in the same way across countries. The web visualizaton shows different levels in different countries to promote usability. For example, in most countries level 8 corresponds to municipalities, but in the UK level 8 is not used so level 10 is displayed instead.
Download: allcountries.geojson.zip (924 MB)
Two other prominent spatial GHG inventories covering Europe are the JRC EDGAR and ODIAC models. A thorough intercomparison has not yet been conducted. However to provide an initial validation it is useful to compare the results of the three models. The comparison indicates that the results are broadly comparable across the three models, but OGM reveals higher variability emissions per grid cell compared to the other two models.
Why use this model? In addition to introducing a new approach for mapping emissions based on OpenStreetMap, OpenGHGMap provides results per administrative jurisdiction.
This table provides an overview of the OGM model together with EDGAR, ODIAC, and the Global Carbon Project's GridFED model.
|Resolution||Temporal resolution||Itemization||Results by jurisdiction||Scope||Method synoposis|
1km grid, and
|Annual||167 CRF categories, using, 9 spatialization methods||Country, State, County, Municipality, facility||Europe||Spatialize national emissions using activity data from OpenStreetMap|
|ODIAC||1km||Monthly||Total emissions||Country||Global||Spatialize national emissions using nighttime lights and power plant locations|
|EDGAR v6.0||0.1° (11km×11km cells at the equator)||Hourly||31 IPCC CRF categories||Country||Global||Collected activity-level data sources (e.g steel industry, FAO for farming activity, ship and flight tracks)|
|GCP-GridFED||0.1° (11km at the equator)||Monthly||Total emissions, per 5 fossil fuels||Country||Global||Use JRC EDGAR map to spatialize GCP's national inventory|
The methodology is presented in this open-access publication:Moran, D., Pichler, P.-P., Zheng, H., Muri, H., Klenner, J., Kramel, D., Többen, J., Weisz, H., Wiedmann, T., Wyckmans, A., Strømman, A. H., and Gurney, K. R.: Estimating CO2 Emissions for 108,000 European Cities, Earth Syst. Sci. Data 14, 845-864. 2022. https://doi.org/10.5194/essd-14-845-2022
This table provides an overview of the coverage of countries and administrative levels. The administrative levels used in OpenStretMap are documented here but generally level 1 refers to countries, levels 2 and 3 are unused, levels 4 and 5 correspond to states (NUTS-2), levels 6-7 cover counties, and levels 8 and up cover municipalities and sub-municipality divisions such as neighborhoods or parishes. Note that in the interactive map visualization the level displayed has been adjusted in some cases to promote ease of use.
|Ireland and northern ireland||-||3||26||-||103||-||-|
The team behind this project consists of:
Daniel Moran1 (PI),
Anders Hammer Strømman1,
Kevin R. Gurney4,
1 Norwegian University of Science and Technology (NTNU)
2 Potsdam Institute for Cimate Impact Research (PIK)
3 University of New South Wales
4 Northern Arizona University
We gratefully acknowledge funding from the Research Council of Norway under grant #287690.
This resource is built using data from OpenStreetMap, © OpenStreetMap contributors, and in parts utilizing shapefiles from Eurostat © EuroGeographics for the administrative boundaries
This model is open data. It is licensed under the Open Data Commons Open Database License (ODbL). You are free to re-use this data for any purpose, but any derived data must use the same, or similar, license as the ODbL. For more on the license please read the OSM's page about copyright and license.