Browsing Asiantuntijatarkastetut julkaisut - Refereed publications by Author "Denier van der Gon, Hugo"

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  • Kuenen, Jeroen; Dellaert, Stijn; Visschedijk, Antoon; Jalkanen, Jukka-Pekka; Super, Ingrid; Denier van der Gon, Hugo (Copernicus GmbH, 2022)
    Earth System Science Data
    This paper presents a state-of-the-art anthropogenic emission inventory developed for the European domain for an 18-year time series (2000–2017) at a 0.05◦ × 0.1◦ grid resolution, specifically designed to support air quality modelling. The main air pollutants are included: NOx , SO2, non-methane volatile organic compounds (NMVOCs), NH3, CO, PM10 and PM2.5, and also CH4. To stay as close as possible to the emissions as officially reported and used in policy assessment, the inventory uses the officially reported emission data by European countries to the UN Framework Convention on Climate Change, the Convention on Long-Range Transboundary Air Pollution and the EU National Emission Ceilings Directive as the basis where possible. Where deemed necessary because of errors, incompleteness or inconsistencies, these are replaced with or complemented by other emission data, most notably the estimates included in the Greenhouse gas Air pollution Interaction and Synergies (GAINS) model. Emissions are collected at the high sectoral level, distinguishing around 250 different sector–fuel combinations, whereafter a consistent spatial distribution is applied for Europe. A specific proxy is selected for each of the sector–fuel combinations, pollutants and years. Point source emissions are largely based on reported facility-level emissions, complemented by other sources of point source data for power plants. For specific sources, the resulting emission data were replaced with other datasets. Emissions from shipping (both inland and at sea) are based on the results from a separate shipping emission model where emissions are based on actual ship movement data, and agricultural waste burning emissions are based on satellite observations. The resulting spatially distributed emissions are evaluated against earlier versions of the dataset as well as against alternative emission estimates, which reveals specific discrepancies in some cases. Along with the resulting annual emission maps, profiles for splitting particulate matter (PM) and NMVOCs into individual components are provided, as well as information on the height profile by sector and temporal disaggregation down to the hourly level to support modelling activities. Annual grid maps are available in csv and NetCDF format
  • Guevara, Marc; Petetin, Hervé; Jorba, Oriol; Denier van der Gon, Hugo; Kuenen, Jeroen; Super, Ingrid; Jalkanen, Jukka-Pekka; Majamäki, Elisa; Johansson, Lasse; Peuch, Vincent-Henri; Pérez García-Pando, Carlos (Copernicus Publications, 2022)
    Earth system science data
    We present a European dataset of daily sector-, pollutant- and country-dependent emission adjustment factors associated with the COVID-19 mobility restrictions for the year 2020.We considered metrics traditionally used to estimate emissions, such as energy statistics or traffic counts, as well as information derived from new mobility indicators and machine learning techniques. The resulting dataset covers a total of nine emission sectors, including road transport, the energy industry, the manufacturing industry, residential and commercial combustion, aviation, shipping, off-road transport, use of solvents, and fugitive emissions from transportation and distribution of fossil fuels. The dataset was produced to be combined with the Copernicus CAMS-REG_v5.1 2020 business-as-usual (BAU) inventory, which provides high-resolution (0:1 x 0:05) emission estimates for 2020 omitting the impact of the COVID-19 restrictions. The combination of both datasets allows quantifying spatially and temporally resolved reductions in primary emissions from both criteria pollutants (NOx , SO2, nonmethane volatile organic compounds – NMVOCs, NH3, CO, PM10 and PM2:5) and greenhouse gases (CO2 fossil fuel, CO2 biofuel and CH4), as well as assessing the contribution of each emission sector and European country to the overall emission changes. Estimated overall emission changes in 2020 relative to BAU emissions were as follows: -10.5% for NOx (-602 kt), -7.8% (-260.2 Mt) for CO2 from fossil fuels, -4.7% (-808.5 kt) for CO, -4.6% (-80 kt) for SO2, -3.3% (-19.1 Mt) for CO2 from biofuels, -3.0% (-56.3 kt) for PM10, -2.5% (-173.3 kt) for NMVOCs, -2.1% (-24.3 kt) for PM2:5, -0.9% (-156.1 kt) for CH4 and -0.2% (-8.6 kt) for NH3. The most pronounced drop in emissions occurred in April (up to -32.8% on average for NOx ) when mobility restrictions were at their maxima. The emission reductions during the second epidemic wave between October and December were 3 to 4 times lower than those occurred during the spring lockdown, as mobility restrictions were generally softer (e.g. curfews, limited social gatherings). Italy, France, Spain, the United Kingdom and Germany were, together, the largest contributors to the total EU27 + UK (27 member states of the European Union and the UK) absolute emission decreases. At the sectoral level, the largest emission declines were found for aviation (-51% to -56 %), followed by road transport (-15.5% to -18.8 %), the latter being the main driver of the estimated reductions for the majority of pollutants. The collection of COVID-19 emission adjustment factors (, Guevara et al., 2022) and the CAMS-REG_v5.1 2020 BAU gridded inventory (, Kuenen et al., 2022b) have been produced in support of air quality modelling studies.