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Abstract
With the urgent need to implement the EU countries pledges and to monitor the effectiveness of Green Deal plan, Monitoring Reporting and Verification tools are needed to track how emissions are changing for all the sectors. Current official inventories only provide annual estimates of national CO2 emissions with a lag of 1+ year which do not capture the variations of emissions due to recent shocks including COVID lockdowns and economic rebounds, war in Ukraine. Here we present a near-real-time country-level dataset of daily fossil fuel and cement emissions from January 2019 through December 2021 for 27 EU countries and UK, which called Carbon Monitor Europe. The data are calculated separately for six sectors: power, industry, ground transportation, domestic aviation, international aviation and residential. Daily CO2 emissions are estimated from a large set of activity data compiled from different sources. The goal of this dataset is to improve the timeliness and temporal resolution of emissions for European countries, to inform the public and decision makers about current emissions changes in Europe.
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1 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); University of Exeter, Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024)
2 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); Alibaba Cloud, Hangzhou, China (GRID:grid.12527.33)
3 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); Laboratoire des Sciences du Climate et de l’Environnement LSCE, Orme de Merisiers, Gif-sur-Yvette, France (GRID:grid.12527.33)
4 Tsinghua University, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Shenzhen, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
5 Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
6 Sorbonne Université/CNRS, Institute Pierre-Simon Laplace, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657)
7 Kayrros, Paris, France (GRID:grid.462844.8)
8 Laboratoire des Sciences du Climate et de l’Environnement LSCE, Orme de Merisiers, Gif-sur-Yvette, France (GRID:grid.462844.8)
9 CICERO Center for International Climate Research, Oslo, Norway (GRID:grid.424033.2) (ISNI:0000 0004 0610 4636)
10 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
11 Ocean University of China, Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Qingdao, China (GRID:grid.4422.0) (ISNI:0000 0001 2152 3263)
12 Northeast Forestry University, Key Laboratory of Sustainable Forest Ecosystem Management, Harbin, China (GRID:grid.412246.7) (ISNI:0000 0004 1789 9091)
13 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); University of Toronto, Department of Civil & Mineral Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
14 CITEPA, Paris, France (GRID:grid.423771.4) (ISNI:0000 0000 8842 6727)
15 European Centre for Medium-Range Weather Forecasts, Reading, UK (GRID:grid.42781.38) (ISNI:0000 0004 0457 8766)
16 University of California, Department of Earth System Science, Irvine, USA (GRID:grid.266093.8) (ISNI:0000 0001 0668 7243)
17 Laboratoire des Sciences du Climate et de l’Environnement LSCE, Orme de Merisiers, Gif-sur-Yvette, France (GRID:grid.266093.8); Climate and Atmosphere Research Center (CARE-C) The Cyprus Institute 20 Konstantinou Kavafi Street, Nicosia, Cyprus (GRID:grid.426429.f) (ISNI:0000 0004 0580 3152)