Note that the spatial scale is not the same for ECLIPSE and EDGAR. A., Monni, S., Doering, U., Olivier, J. G. J., Pagliari, V., and Janssens-Maenhout, G.: Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2, Earth Syst. Annual ECLIPSE (left column) and EDGAR (middle column) NOx emissions for Buenos Aires (top row) and Santiago (bottom row). This inventory is the default global anthropogenic emission inventory in GEOS-Chem v10-01 and later versions. 4. The interpretation and use of the satellite derived data and other type of analysis requires particular attention due to the combined uncertainty related with the spatial allocation in the gridmaps and the calculation of emission ratios of co-emitted pollutants. This scientific independent emission inventory is characterized by a coherent world historical trend and previous version v4.1 of …
Additional information can be found in Crippa et al. These updates were validated with the 1-month benchmark simulation v10-01h and approved on Approved 01 May 2015.EDGAR 4.2 emissions of NOx, CO, SO2, and NH3 from 1970-2008 were prepared and implemented into GEOS-Chem. H2020 Projects CO2 Human Emissions (CHE H2020 Project) FP7 Projects INGOS FP7 Project; PEGASOS FP7 Project; FP6 …
The EDGAR-HTAP project compiled a global emission dataset with annual inventories for CH4, NMVOC, CO, SO2, NOx, NH3, PM10, PM2.5, BC and OC and covering the period 2000-2005 using, to the extent possible, official or scientific inventories at the national or regional scale that are likely to be acceptable for policy makers in each region of the world. For the technology-based emission factors and end-of-pipe reductions we mainly followed the recommendations of the EEA Guidebook (2013), the HTAP_v2 dataset of Janssens-Maenhout et al., (ACP, 2015) and the PEGASOS study of Crippa et al. The dataset (EDGARv5.0_FT) shows that global anthropogenic fossil CO2 emissions increased by 0.4% in 2016 compared to 2015 and a further 1.2% in 2017 compared to 2016 reaching 37.1 Gt CO2.
The EDGAR- HTAP project compiled a global emission dataset with annual inventories for CH4, NMVOC, CO, SO2, NOx, NH3, PM10, PM2.5, BC and OC and covering the period 2000-2005 using, to the extent possible, official or scientific inventories at the national or regional scale that are likely to be acceptable for policy makers in each region of the world. (ACP, 2016).Conditions of emission data use and code of conduct Users of the data are obliged to acknowledge the source of the data with a reference to the EDGARv4.3.2 website (http://edgar.jrc.ec.europa.eu/overview.php?v=432) and to the DOI (https://data.europa.eu/doi/10.2904/JRC_DATASET_EDGAR) and to the scientific publication: For each substance, emissions timeseries (1970-2012) by sector and country are provided in an overview table (.xls).For each substance annual gridmaps (1970-2012) are provided.For each sector annual gridmaps (1970-2012) are provided for all substances.In the perspective of providing more insights on the composition of the total emissions and source decomposition within a single gridcell, we provide the emission sector shares at gridcell level as NetCDF files. Data, 10, 1987–2013, https://doi.org/10.5194/essd-10-1987-2018, 2018. The Emissions Database for Global Atmospheric Research (EDGAR) provides global past and present day anthropogenic emissions of greenhouse gases and air pollutants by country and on spatial grid.EDGAR aims to inform scientists and policy makers on the evolution of the emission inventories over time for all world countries and to provide the scientific community 0.1degX0.1deg gridmaps representing the emissions sources.EDGAR contributed to research projects with advice on emission gridmaps and timeseries.EDGARv5.0 provides emissions not only for the greenhouse gases per sector and country but also for the air pollutants:Emissions from large scale biomass burning with Savannah burning, forest fires, and sources and sinks from land-use, land-use change and forestry (LULUCF) are excluded.For the energy related sectors the activity data are mainly based on the energy balance statistics of IEA (2017) (Internet: http://www.oecd-ilibrary.org/energy/co2-emissions-from-fuel-combustion-2017_co2_fuel-2017-en), whereas the activity data for the agricultural sectors originate mainly from FAO (2018) (Internet: http://www.fao.org/faostat/en/#home).
- Acidifying gases: Ammonia (NH3), Nitrogen oxides (NOx) and Sulfur Dioxide (SO2).
European Commission, Joint Research Centre (JRC).Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., van Aardenne, J. In EDGARv4.3.2 emissions are calculated not only for the greenhouse gases per sector and country but also for the air pollutants: - Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). Fossil CO2 emissions from 1970 to 2017 are included in the latest version of EDGAR, EDGARv5.0; this report gives an overview of country-by-country fossil CO2 emissions from 1990-2017. The Emissions Database for Global Atmospheric Research (EDGAR) provides global past and present day anthropogenic emissions of greenhouse gases and air pollutants by country and on spatial grid.EDGAR aims to inform scientists and policy makers on the evolution of the emission inventories over time for all world countries and to provide the scientific community 0.1degX0.1deg gridmaps representing the emissions sources.EDGAR contributed to research projects with advice on emission gridmaps and timeseries.In EDGARv4.3.2 emissions are calculated not only for the greenhouse gases per sector and country but also for the air pollutants:The activity data and spatial distribution proxies are the same for the greenhouse gases and for the air pollutants, and are documented by Janssens-Maenhout et al., (ESSD, 2017). EDGARv5.0 provides emissions not only for the greenhouse gases per sector and country but also for the air pollutants: - Ozone precursor gases: Carbon Monoxide (CO), Nitrogen Oxides (NOx), Non-Methane Volatile Organic Compounds (NMVOC) and Methane (CH4). Sci.