1European Commission, Joint Research Centre (JRC), Ispra, Italy
2Institute for Advanced Sustainability Studies (IASS), Potsdam, 14467, Germany
3U.S. Environmental Protection Agency, Washington DC 20460, USA
4Institute of Environmental Protection, National Research Institute, Poland
5Department of Climate, Air and Sustainability, TNO, Utrecht, The Netherlands
6Asia Center for Air Pollution Research (ACAP), 1182 Sowa, Nishi-ku, Niigata-shi 950-2144, Japan
7Japan Automobile Research Institute (JARI)
8Air Quality Policy-Issue Response Section, Canadian Centre for Meteorological and Environmental Prediction, Environment and Climate Change Canada (ECCC), Dorval, Quebec, Canada
9International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
10Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD, USA
11UniSystems Company, Milan (Italy)
12GFT Italia S.r.l., VIA SILE, 20139 Milano, Italy
13Department of Civil and Environmental Engineering, Konuk University, Seoul, South Korea
14Department of Technology Fusion Engineering, Konuk University, Seoul, South Korea
15National Institute for Environmental Studies (NIES), Tsukuba, 305-8506, Japan
16Air Quality Research Division, Environment and Climate Change Canada, Toronto, Ontario, Canada
17U.S. Environmental Protection Agency, North Carolina, USA
1European Commission, Joint Research Centre (JRC), Ispra, Italy
2Institute for Advanced Sustainability Studies (IASS), Potsdam, 14467, Germany
3U.S. Environmental Protection Agency, Washington DC 20460, USA
4Institute of Environmental Protection, National Research Institute, Poland
5Department of Climate, Air and Sustainability, TNO, Utrecht, The Netherlands
6Asia Center for Air Pollution Research (ACAP), 1182 Sowa, Nishi-ku, Niigata-shi 950-2144, Japan
7Japan Automobile Research Institute (JARI)
8Air Quality Policy-Issue Response Section, Canadian Centre for Meteorological and Environmental Prediction, Environment and Climate Change Canada (ECCC), Dorval, Quebec, Canada
9International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
10Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD, USA
11UniSystems Company, Milan (Italy)
12GFT Italia S.r.l., VIA SILE, 20139 Milano, Italy
13Department of Civil and Environmental Engineering, Konuk University, Seoul, South Korea
14Department of Technology Fusion Engineering, Konuk University, Seoul, South Korea
15National Institute for Environmental Studies (NIES), Tsukuba, 305-8506, Japan
16Air Quality Research Division, Environment and Climate Change Canada, Toronto, Ontario, Canada
17U.S. Environmental Protection Agency, North Carolina, USA
Received: 14 Dec 2022 – Discussion started: 13 Jan 2023
Abstract. This study, performed under the umbrella of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP), responds to the need of the global and regional atmospheric modelling community of having a mosaic emission inventory of air pollutants that conforms to specific requirements: global coverage, long time series, spatially distributed emissions with high time resolution, and a high sectoral resolution. The mosaic approach of integrating official regional emission inventories based on locally reported data, with a global inventory based on a globally consistent methodology, allows modellers to perform simulations of a high scientific quality while also ensuring that the results remain relevant to policymakers.
HTAP_v3, an ad-hoc global mosaic of anthropogenic inventories, has been developed by integrating official inventories over specific areas (North America, Europe, Asia including Japan and Korea) with the independent Emissions Database for Global Atmospheric Research (EDGAR) inventory for the remaining world regions. The results are spatially and temporally distributed emissions of SO2, NOx, CO, NMVOC, NH3, PM10, PM2.5, Black Carbon (BC), and Organic Carbon (OC), with a spatial resolution of 0.1 x 0.1 degree and time intervals of months and years covering the period 2000–2018 (DOI 10.5281/zenodo.7516361, https://edgar.jrc.ec.europa.eu/dataset_htap_v3). The emissions are further disaggregated to 16 anthropogenic emitting sectors. This paper describes the methodology applied to develop such an emission mosaic, reports on source allocation, differences among existing inventories, and best practices for the mosaic compilation. One of the key strengths of the HTAP_v3 emission mosaic is its temporal coverage, enabling the analysis of emission trends over the past two decades. The development of a global emission mosaic over such long time series represents a unique product for global air quality modelling and for better-informed policy making, reflecting the community effort expended by the TF-HTAP to disentangle the complexity of transboundary transport of air pollution.
This study responds to the need of the global and regional atmospheric modelling community of having a mosaic of air pollutant emissions with global coverage, long time series, spatially distributed data at high time resolution, and high sectoral resolution to enhance the understanding on transboundary air pollution. The mosaic approach of integrating official regional emission inventories with a global inventory based on a consistent methodology ensures policy relevant results.
This study responds to the need of the global and regional atmospheric modelling community of...