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1. Near-real-time global gridded daily CO$_2$ emissions 2021

Author

Dou, Xinyu, Hong, Jinpyo, Ciais, Philippe, Chevallier, Frédéric, Yan, Feifan, Yu, Ying, Hu, Yifan, Huo, Da, Sun, Yun, Wang, Yilong, Davis, Steven J., Crippa, Monica, Janssens-Maenhout, Greet, Guizzardi, Diego, Solazzo, Efisio, Lin, Xiaojuan, Song, Xuanren, Zhu, Biqing, Cui, Duo, Ke, Piyu, Wang, Hengqi, Zhou, Wenwen, Huang, Xia, Deng, Zhu, and Liu, Zhu

Subjects
Physics - Atmospheric and Oceanic Physics
Abstract

We present a near-real-time global gridded daily CO$_2$ emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO$_2$ emissions at a 0.1degree*0.1degree spatial resolution and 1-day temporal resolution from cement production and fossil fuel combustion over seven sectors, including industry, power, residential consumption, ground transportation, international aviation, domestic aviation, and international shipping. GRACED is prepared from a near-real-time daily national CO$_2$ emissions estimates (Carbon Monitor), multi-source spatial activity data emissions and satellite NO$_2$ data for time variations of those spatial activity data. GRACED provides the most timely overview of emissions distribution changes, which enables more accurate and timely identification of when and where fossil CO$_2$ emissions have rebounded and decreased. Uncertainty analysis of GRACED gives a grid-level two-sigma uncertainty of value of 19.9% in 2021, indicating the reliability of GRACED was not sacrificed for the sake of higher spatiotemporal resolution that GRACED provides. Continuing to update GRACED in a timely manner could help policymakers monitor energy and climate policies' effectiveness and make adjustments quickly.

Published
2022
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2. Near-real-time global gridded daily CO2 emissions 2021

Author

Dou, Xinyu, Hong, Jinpyo, Ciais, Philippe, Chevallier, Frédéric, Yan, Feifan, Yu, Ying, Hu, Yifan, Huo, Da, Sun, Yun, Wang, Yilong, Davis, Steven J, Crippa, Monica, Janssens-Maenhout, Greet, Guizzardi, Diego, Solazzo, Efisio, Lin, Xiaojuan, Song, Xuanren, Zhu, Biqing, Cui, Duo, Ke, Piyu, Wang, Hengqi, Zhou, Wenwen, Huang, Xia, Deng, Zhu, and Liu, Zhu

Subjects
Earth Sciences, Engineering, Geoinformatics, Climate Action
Abstract

We present a near-real-time global gridded daily CO2 emissions dataset (GRACED) throughout 2021. GRACED provides gridded CO2 emissions at a 0.1° × 0.1° spatial resolution and 1-day temporal resolution from cement production and fossil fuel combustion over seven sectors, including industry, power, residential consumption, ground transportation, international aviation, domestic aviation, and international shipping. GRACED is prepared from the near-real-time daily national CO2 emissions estimates (Carbon Monitor), multi-source spatial activity data emissions and satellite NO2 data for time variations of those spatial activity data. GRACED provides the most timely overview of emissions distribution changes, which enables more accurate and timely identification of when and where fossil CO2 emissions have rebounded and decreased. Uncertainty analysis of GRACED gives a grid-level two-sigma uncertainty of value of ±19.9% in 2021, indicating the reliability of GRACED was not sacrificed for the sake of higher spatiotemporal resolution that GRACED provides. Continuing to update GRACED in a timely manner could help policymakers monitor energy and climate policies' effectiveness and make adjustments quickly.

Published
2023

5. Global Gridded Daily CO$_2$ Emissions

Author

Dou, Xinyu, Wang, Yilong, Ciais, Philippe, Chevallier, Frédéric, Davis, Steven J., Crippa, Monica, Janssens-Maenhout, Greet, Guizzardi, Diego, Solazzo, Efisio, Yan, Feifan, Huo, Da, Bo, Zheng, Deng, Zhu, Zhu, Biqing, Wang, Hengqi, Zhang, Qiang, Gentine, Pierre, and Liu, Zhu

Subjects
Physics - Atmospheric and Oceanic Physics, Economics - General Economics
Abstract

Precise and high-resolution carbon dioxide (CO$_2$) emission data is of great importance of achieving the carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO$_2$ Emission Datasets (called GRACED) from fossil fuel and cement production with a global spatial-resolution of 0.1$^\circ$ by 0.1$^\circ$ and a temporal-resolution of 1-day. Gridded fossil emissions are computed for different sectors based on the daily national CO$_2$ emissions from near real time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Carbon Grid (GID), Emission Database for Global Atmospheric Research (EDGAR) and spatiotemporal patters of satellite nitrogen dioxide (NO$_2$) retrievals. Our study on the global CO$_2$ emissions responds to the growing and urgent need for high-quality, fine-grained near-real-time CO2 emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes for power, industry, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors between 2019 and 2020. This help us to give insights on the relative contributions of various sectors and provides a fast and fine-grained overview of where and when fossil CO$_2$ emissions have decreased and rebounded in response to emergencies (e.g. COVID-19) and other disturbances of human activities than any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will allow policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt.

Published
2021
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6. Near-real-time global gridded daily CO2 emissions

Author

Dou, Xinyu, Wang, Yilong, Ciais, Philippe, Chevallier, Frédéric, Davis, Steven J, Crippa, Monica, Janssens-Maenhout, Greet, Guizzardi, Diego, Solazzo, Efisio, Yan, Feifan, Huo, Da, Zheng, Bo, Zhu, Biqing, Cui, Duo, Ke, Piyu, Sun, Taochun, Wang, Hengqi, Zhang, Qiang, Gentine, Pierre, Deng, Zhu, and Liu, Zhu

Subjects
Affordable and Clean Energy, Climate Action, 2020, daily, global change, gridded CO2 emission, near real time
Abstract

Precise and high-resolution carbon dioxide (CO2) emission data is of great importance in achieving carbon neutrality around the world. Here we present for the first time the near-real-time Global Gridded Daily CO2 Emissions Dataset (GRACED) from fossil fuel and cement production with a global spatial resolution of 0.1° by 0.1° and a temporal resolution of 1 day. Gridded fossil emissions are computed for different sectors based on the daily national CO2 emissions from near-real-time dataset (Carbon Monitor), the spatial patterns of point source emission dataset Global Energy Infrastructure Emissions Database (GID), Emission Database for Global Atmospheric Research (EDGAR), and spatiotemporal patters of satellite nitrogen dioxide (NO2) retrievals. Our study on the global CO2 emissions responds to the growing and urgent need for high-quality, fine-grained, near-real-time CO2 emissions estimates to support global emissions monitoring across various spatial scales. We show the spatial patterns of emission changes for power, industry, residential consumption, ground transportation, domestic and international aviation, and international shipping sectors from January 1, 2019, to December 31, 2020. This gives thorough insights into the relative contributions from each sector. Furthermore, it provides the most up-to-date and fine-grained overview of where and when fossil CO2 emissions have decreased and rebounded in response to emergencies (e.g., coronavirus disease 2019 [COVID-19]) and other disturbances of human activities of any previously published dataset. As the world recovers from the pandemic and decarbonizes its energy systems, regular updates of this dataset will enable policymakers to more closely monitor the effectiveness of climate and energy policies and quickly adapt.

Published
2022

9. Insights into the spatial distribution of global, national, and subnational greenhouse gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v8.0).

Author

Crippa, Monica, Guizzardi, Diego, Pagani, Federico, Schiavina, Marcello, Melchiorri, Michele, Pisoni, Enrico, Graziosi, Francesco, Muntean, Marilena, Maes, Joachim, Dijkstra, Lewis, Van Damme, Martin, Clarisse, Lieven, and Coheur, Pierre

Subjects
*GREENHOUSE gases, *DATABASES, *EMISSIONS (Air pollution), *CLIMATE change mitigation, *CARBON offsetting
Abstract

To mitigate the impact of greenhouse gas (GHG) and air pollutant emissions, it is of utmost importance to understand where emissions occur. In the real world, atmospheric pollutants are produced by various human activities from point sources (e.g. power plants and industrial facilities) but also from diffuse sources (e.g. residential activities and agriculture). However, as tracking all these single sources of emissions is practically impossible, emission inventories are typically compiled using national-level statistics by sector, which are then downscaled at the grid-cell level using spatial information. In this work, we develop high-spatial-resolution proxies for use in downscaling the national emission totals for all world countries provided by the Emissions Database for Global Atmospheric Research (EDGAR). In particular, in this paper, we present the latest EDGAR v8.0 GHG, which provides readily available emission data at different levels of spatial granularity, obtained from a consistently developed GHG emission database. This has been achieved through the improvement and development of high-resolution spatial proxies that allow for a more precise allocation of emissions over the globe. A key novelty of this work is the potential to analyse subnational GHG emissions over the European territory and also over the United States, China, India, and other high-emitting countries. These data not only meet the needs of atmospheric modellers but can also inform policymakers working in the field of climate change mitigation. For example, the EDGAR GHG emissions at the NUTS 2 level (Nomenclature of Territorial Units for Statistics level 2) over Europe contribute to the development of EU cohesion policies, identifying the progress of each region towards achieving the carbon neutrality target and providing insights into the highest-emitting sectors. The data can be accessed at 10.2905/b54d8149-2864-4fb9-96b9-5fd3a020c224 specifically for EDGAR v8.0 (Crippa et al., 2023a) and 10.2905/D67EEDA8-C03E-4421-95D0-0ADC460B9658 for the subnational dataset (Crippa et al., 2023b). [ABSTRACT FROM AUTHOR]

Published
2024
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10. Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses.

Author

Soulie, Antonin, Granier, Claire, Darras, Sabine, Zilbermann, Nicolas, Doumbia, Thierno, Guevara, Marc, Jalkanen, Jukka-Pekka, Keita, Sekou, Liousse, Cathy, Crippa, Monica, Guizzardi, Diego, Hoesly, Rachel, and Smith, Steven J.

Subjects
EMISSION inventories, AIR quality, COMMERCIAL aeronautics, AGRICULTURAL wastes, WASTE treatment, AIR pollutants
Abstract

Anthropogenic emissions are the result of many different economic sectors, including transportation, power generation, industrial, residential and commercial activities, waste treatment and agricultural practices. Air quality models are used to forecast the atmospheric composition, analyze observations and reconstruct the chemical composition of the atmosphere during the previous decades. In order to drive these models, gridded emissions of all compounds need to be provided. This paper describes a new global inventory of emissions called CAMS-GLOB-ANT, developed as part of the Copernicus Atmosphere Monitoring Service (CAMS; 10.24380/eets-qd81, Soulie et al., 2023). The inventory provides monthly averages of the global emissions of 36 compounds, including the main air pollutants and greenhouse gases, at a spatial resolution of 0.1° × 0.1° in latitude and longitude, for 17 emission sectors. The methodology to generate the emissions for the 2000–2023 period is explained, and the datasets are analyzed and compared with publicly available global and regional inventories for selected world regions. Depending on the species and regions, good agreements as well as significant differences are highlighted, which can be further explained through an analysis of different sectors as shown in the figures in the Supplement. [ABSTRACT FROM AUTHOR]

Published
2024
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11. CoCO2-MOSAIC 1.0: a global mosaic of regional, gridded, fossil, and biofuel CO2 emission inventories

Author

Urraca, Ruben, primary, Janssens-Maenhout, Greet, additional, Álamos, Nicolás, additional, Berna-Peña, Lucas, additional, Crippa, Monica, additional, Darras, Sabine, additional, Dellaert, Stijn, additional, Denier van der Gon, Hugo, additional, Dowell, Mark, additional, Gobron, Nadine, additional, Granier, Claire, additional, Grassi, Giacomo, additional, Guevara, Marc, additional, Guizzardi, Diego, additional, Gurney, Kevin, additional, Huneeus, Nicolás, additional, Keita, Sekou, additional, Kuenen, Jeroen, additional, Lopez-Noreña, Ana, additional, Puliafito, Enrique, additional, Roest, Geoffrey, additional, Rossi, Simone, additional, Soulie, Antonin, additional, and Visschedijk, Antoon, additional

Published
2024
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13. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990–2020

Author

McGrath, Matthew J., primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems-Cheiney, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Jürgen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn N. C., additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional

Published
2023
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14. Supplementary material to "Global Anthropogenic Emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service Simulations of Air Quality Forecasts and Reanalyses"

Author

Soulie, Antonin, primary, Granier, Claire, additional, Darras, Sabine, additional, Zilbermann, Nicolas, additional, Doumbia, Thierno, additional, Guevara, Marc, additional, Jalkanen, Jukka-Pekka, additional, Keita, Sekou, additional, Liousse, Cathy, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Hoesly, Rachel, additional, and Smith, Steven, additional

Published
2023
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15. Global Anthropogenic Emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service Simulations of Air Quality Forecasts and Reanalyses

Author

Soulie, Antonin, primary, Granier, Claire, additional, Darras, Sabine, additional, Zilbermann, Nicolas, additional, Doumbia, Thierno, additional, Guevara, Marc, additional, Jalkanen, Jukka-Pekka, additional, Keita, Sekou, additional, Liousse, Cathy, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Hoesly, Rachel, additional, and Smith, Steven, additional

Published
2023
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20. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies

Author

Crippa, Monica, primary, Guizzardi, Diego, additional, Butler, Tim, additional, Keating, Terry, additional, Wu, Rosa, additional, Kaminski, Jacek, additional, Kuenen, Jeroen, additional, Kurokawa, Junichi, additional, Chatani, Satoru, additional, Morikawa, Tazuko, additional, Pouliot, George, additional, Racine, Jacinthe, additional, Moran, Michael D., additional, Klimont, Zbigniew, additional, Manseau, Patrick M., additional, Mashayekhi, Rabab, additional, Henderson, Barron H., additional, Smith, Steven J., additional, Suchyta, Harrison, additional, Muntean, Marilena, additional, Solazzo, Efisio, additional, Banja, Manjola, additional, Schaaf, Edwin, additional, Pagani, Federico, additional, Woo, Jung-Hun, additional, Kim, Jinseok, additional, Monforti-Ferrario, Fabio, additional, Pisoni, Enrico, additional, Zhang, Junhua, additional, Niemi, David, additional, Sassi, Mourad, additional, Ansari, Tabish, additional, and Foley, Kristen, additional

Published
2023
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21. Supplementary material to "CoCO2-MOSAIC 1.0: a global mosaic of regional, gridded, fossil and biofuel CO2 emission inventories"

Author

Urraca, Ruben, primary, Janssens-Maenhout, Greet, additional, Álamos, Nicolás, additional, Berna-Peña, Lucas, additional, Crippa, Monica, additional, Darras, Sabine, additional, Dellaert, Sitjn, additional, Denier van der Gon, Hugo, additional, Dowell, Mark, additional, Gobron, Nadine, additional, Granier, Claire, additional, Grassi, Giacomo, additional, Guevara, Marc, additional, Guizzardi, Diego, additional, Gurney, Kevin, additional, Huneeus, Nicolás, additional, Keita, Sekou, additional, Kuenen, Jeoren, additional, Lopez-Noreña, Ana, additional, Puliafito, Enrique, additional, Roest, Geoffrey, additional, Rossi, Simone, additional, Soulie, Antonin, additional, and Visschedijk, Antoon, additional

Published
2023
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22. CoCO2-MOSAIC 1.0: a global mosaic of regional, gridded, fossil and biofuel CO2 emission inventories

Author

Urraca, Ruben, primary, Janssens-Maenhout, Greet, additional, Álamos, Nicolás, additional, Berna-Peña, Lucas, additional, Crippa, Monica, additional, Darras, Sabine, additional, Dellaert, Sitjn, additional, Denier van der Gon, Hugo, additional, Dowell, Mark, additional, Gobron, Nadine, additional, Granier, Claire, additional, Grassi, Giacomo, additional, Guevara, Marc, additional, Guizzardi, Diego, additional, Gurney, Kevin, additional, Huneeus, Nicolás, additional, Keita, Sekou, additional, Kuenen, Jeoren, additional, Lopez-Noreña, Ana, additional, Puliafito, Enrique, additional, Roest, Geoffrey, additional, Rossi, Simone, additional, Soulie, Antonin, additional, and Visschedijk, Antoon, additional

Published
2023
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23. Near-real-time global gridded daily CO2 emissions

Author

Dou, Xinyu, primary, Liu, Zhu, additional, Ciais, Philippe, additional, Hong, Jinpyo, additional, Chevallier, Frédéric, additional, Wang, Yilong, additional, Yan, Feifan, additional, Davis, Steven J., additional, Crippa, Monica, additional, Janssens-Maenhout, Greet, additional, Guizzardi, Diego, additional, Solazzo, Efisio, additional, Song, Xuanren, additional, Huo, Da, additional, Ke, Piyu, additional, Wang, Hengqi, additional, and Deng, Zhu, additional

Published
2023
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24. Insights on the spatial distribution of global, national and sub-national GHG emissions in EDGARv8.0.

Author

Crippa, Monica, Guizzardi, Diego, Pagani, Federico, Schiavina, Marcello, Melchiorri, Michele, Pisoni, Enrico, Graziosi, Francesco, Muntean, Marilena, Maes, Joachim, Dijkstra, Lewis, Van Damme, Martin, Clarisse, Lieven, and Coheur, Pierre

Subjects
*GREENHOUSE gases, *EMISSION inventories, *DATABASES, *GREENHOUSE gas mitigation, *ATMOSPHERIC models
Abstract

Knowing where emissions occur is essential for planning effective emission reduction measures and for atmospheric modelling. Emission inventories are typically compiled at national level and provide sector-specific emission estimates. Disaggregating national emissions on high-resolution grids requires spatial proxies that contain information on the location of different emission sources (e.g. point sources, linear and area sources). Knowing the correct allocation of emissions from point sources is essential to avoid the misallocating high emission levels. However, gathering information on point sources covering the entire globe and a wide temporal domain (1970 to present) is challenging due to limited data availability, accuracy of the reporting and completeness of data. The latest spatial proxies developed as part of the Emissions Database for Global Atmospheric Research (EDGARv8.0) provide the user with the possibility to work with different geographical details using a consistently developed GHG emissions database. A key novelty of EDGARv8.0 is the possibility to analyse sub-national GHG emissions over the European domain, but also over the US, China, India and main world countries. The relevance of using updated spatial information is assessed on the basis of regional case studies. [ABSTRACT FROM AUTHOR]

Published
2023
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25. The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies

Author

Crippa, Monica, Guizzardi, Diego, Butler, Tim, Keating, Terry, Wu, Rosa, Kaminski, Jacek, Kuenen, Jeroen, Kurokawa, Junichi, Chatani, Satoru, Morikawa, Tazuko, Pouliot, George, Racine, Jacinthe, Moran, Michael D., Klimont, Zbigniew, Manseau, Patrick M., Mashayekhi, Rabab, Henderson, Barron H., Smith, Steven J., Suchyta, Harrison, Muntean, Marilena, Solazzo, Efisio, Banja, Manjola, Schaaf, Edwin, Pagani, Federico, Woo, Jung-Hun, Kim, Jinseok, Monforti-Ferrario, Fabio, Pisoni, Enrico, Zhang, Junhua, Niemi, David, Sassi, Mourad, Ansari, Tabish, and Foley, Kristen

Abstract

This study, performed under the umbrella of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP), responds to the global and regional atmospheric modelling community's need of 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 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 South 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, non-methane volatile organic compounds (NMVOCs), NH3, PM10, PM2.5, black carbon (BC), and organic carbon (OC), with a spatial resolution of 0.1∘ × 0.1∘ and time intervals of months and years, covering the period 2000–2018 (https://doi.org/10.5281/zenodo.7516361, Crippa, 2023, https://edgar.jrc.ec.europa.eu/dataset_htap_v3, last access: June 2023). The emissions are further disaggregated into 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 2 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 policymaking, reflecting the community effort expended by the TF-HTAP to disentangle the complexity of transboundary transport of air pollution.

Published
2023

26. Comparing Urban Anthropogenic NMVOC Measurements with Representation in Emission Inventories ‐ A Global Perspective

Author

von Schneidemesser, Erika, primary, McDonald, Brian C., additional, Denier van der Gon, Hugo, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Borbon, Agnes, additional, Dominutti, Pamela, additional, Huang, Ganlin, additional, Jansens‐Maenhout, Greet, additional, Li, Meng, additional, Ou‐Yang, Chang‐Feng, additional, Tisinai, Shelby, additional, and Wang, Jia‐Lin, additional

Published
2023
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27. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2019

Author

Petrescu, Ana Maria Roxana, primary, Qiu, Chunjing, additional, McGrath, Matthew J., additional, Peylin, Philippe, additional, Peters, Glen P., additional, Ciais, Philippe, additional, Thompson, Rona L., additional, Tsuruta, Aki, additional, Brunner, Dominik, additional, Kuhnert, Matthias, additional, Matthews, Bradley, additional, Palmer, Paul I., additional, Tarasova, Oksana, additional, Regnier, Pierre, additional, Lauerwald, Ronny, additional, Bastviken, David, additional, Höglund-Isaksson, Lena, additional, Winiwarter, Wilfried, additional, Etiope, Giuseppe, additional, Aalto, Tuula, additional, Balsamo, Gianpaolo, additional, Bastrikov, Vladislav, additional, Berchet, Antoine, additional, Brockmann, Patrick, additional, Ciotoli, Giancarlo, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dentener, Frank, additional, Groot Zwaaftink, Christine D., additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Haussaire, Jean-Matthieu, additional, Houweling, Sander, additional, Janssens-Maenhout, Greet, additional, Kouyate, Massaer, additional, Leip, Adrian, additional, Leppänen, Antti, additional, Lugato, Emanuele, additional, Maisonnier, Manon, additional, Manning, Alistair J., additional, Markkanen, Tiina, additional, McNorton, Joe, additional, Muntean, Marilena, additional, Oreggioni, Gabriel D., additional, Patra, Prabir K., additional, Perugini, Lucia, additional, Pison, Isabelle, additional, Raivonen, Maarit T., additional, Saunois, Marielle, additional, Segers, Arjo J., additional, Smith, Pete, additional, Solazzo, Efisio, additional, Tian, Hanqin, additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, van der Werf, Guido R., additional, Wilson, Chris, additional, and Zaehle, Sönke, additional

Published
2023
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28. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990-2019

Author

Petrescu, Ana Maria Roxana, Qiu, Chunjing, McGrath, Matthew J., Peylin, Philippe, Peters, Glen P., Ciais, Philippe, Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Hoeglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank, Zwaaftink, Christine D. Groot, Guizzardi, Diego, Guenther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppanen, Antti, Lugato, Emanuele, Maisonnier, Manon, Manning, Alistair J., Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Segers, Arjo J., Smith, Pete, Solazzo, Efisio, Tian, Hanqin, Tubiello, Francesco N., Vesala, Timo, van der Werf, Guido R., Wilson, Chris, Zaehle, Soenke, Petrescu, Ana Maria Roxana, Qiu, Chunjing, McGrath, Matthew J., Peylin, Philippe, Peters, Glen P., Ciais, Philippe, Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Hoeglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank, Zwaaftink, Christine D. Groot, Guizzardi, Diego, Guenther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppanen, Antti, Lugato, Emanuele, Maisonnier, Manon, Manning, Alistair J., Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Segers, Arjo J., Smith, Pete, Solazzo, Efisio, Tian, Hanqin, Tubiello, Francesco N., Vesala, Timo, van der Werf, Guido R., Wilson, Chris, and Zaehle, Soenke

Abstract

Knowledge of the spatial distribution of the fluxes of greenhouse gases (GHGs) and their temporal variability as well as flux attribution to natural and anthropogenic processes is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement and to inform its global stocktake. This study provides a consolidated synthesis of CH4 and N2O emissions using bottom-up (BU) and top-down (TD) approaches for the European Union and UK (EU27 + UK) and updates earlier syntheses (Petrescu et al., 2020, 2021). The work integrates updated emission inventory data, process-based model results, data-driven sector model results and inverse modeling estimates, and it extends the previous period of 1990-2017 to 2019. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported by parties under the United Nations Framework Convention on Climate Change (UNFCCC) in 2021. Uncertainties in NGHGIs, as reported to the UNFCCC by the EU and its member states, are also included in the synthesis. Variations in estimates produced with other methods, such as atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arise from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. By comparing NGHGIs with other approaches, the activities included are a key source of bias between estimates, e.g., anthropogenic and natural fluxes, which in atmospheric inversions are sensitive to the prior geospatial distribution of emissions. For CH4 emissions, over the updated 2015-2019 period, which covers a sufficiently robust number of overlapping estimates, and most importantly the NGHGIs, the anthropogenic BU approaches are directly comparable, accounting for mean emissions of 20.5 TgCH(4) yr(-1) (EDGARv6.0, last year 2018) and 18.4 TgCH(4) yr(-1) (GAINS, last year 2015), close to the NGHGI estimates of 17 :5 +/- 2 :1 TgCH(4) yr(-1). TD, Funding Agencies|European Commission, Horizon 2020 Framework Programme (VER-IFY) [776810]; CLand Convergence Institute; Environment Research and Technology Development Fund of the Environmental Restoration and Conservation Agency of Japan [JP-MEERF20182002]; H2020 project ESM2025 - Earth System Models for the Future [101003536]; European Research Council (ERC) [725546]; European Union [958927]; Finnish Academy [351311, 345531]; ERC consolidator grant QUINCY [647204]

Published
2023
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29. The consolidated European synthesis of CO2 emissions and removals for the European Union and United Kingdom: 1990-2020

Author

McGrath, Matthew J., Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn N.C., Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, Walther, Sophia, McGrath, Matthew J., Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn N.C., Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, and Walther, Sophia

Abstract

Quantification of land surface-atmosphere fluxes of carbon dioxide (CO2) and their trends and uncertainties is essential for monitoring progress of the EU27+UK bloc as it strives to meet ambitious targets determined by both international agreements and internal regulation. This study provides a consolidated synthesis of fossil sources (CO2 fossil) and natural (including formally managed ecosystems) sources and sinks over land (CO2 land) using bottom-up (BU) and top-down (TD) approaches for the European Union and United Kingdom (EU27+UK), updating earlier syntheses (Petrescu et al., 2020, 2021). Given the wide scope of the work and the variety of approaches involved, this study aims to answer essential questions identified in the previous syntheses and understand the differences between datasets, particularly for poorly characterized fluxes from managed and unmanaged ecosystems. The work integrates updated emission inventory data, process-based model results, data-driven categorical model results, and inverse modeling estimates, extending the previous period 1990-2018 to the year 2020 to the extent possible. BU and TD products are compared with the European national greenhouse gas inventory (NGHGI) reported by parties including the year 2019 under the United Nations Framework Convention on Climate Change (UNFCCC). The uncertainties of the EU27+UK NGHGI were evaluated using the standard deviation reported by the EU member states following the guidelines of the Intergovernmental Panel on Climate Change (IPCC) and harmonized by gap-filling procedures. Variation in estimates produced with other methods, such as atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), originate from within-model uncertainty related to parameterization as well as structural differences between models. By comparing the NGHGI with other approaches, key sources of differences between estimates arise primarily in activities. System boundaries and emission categorie

Published
2023

30. The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990–2019

Author

Petrescu, Ana-Maria-Roxana, Qiu, Chunjing, McGrath, M.J., Peylin, Philippe, P. Peters, Glen, Ciais, P., Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Höglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank J., Groot Zwaaftink, Christine D., Guizzardi, Diego, Günther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppänen, Antti, Lugato, Emanuele, Maisonnier, Manon, Manning, Alistair J., Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Segers, Arjo, Smith, Pete, Solazzo, Efisio, Tian, Hanqin, N. Tubiello, Francesco, Vesala, Timo, van der Werf, Guido, Wilson, Chris, and Zaehle, Sönke

Abstract

Knowledge of the spatial distribution of the fluxes of greenhouse gases (GHGs) and their temporal variability as well as flux attribution to natural and anthropogenic processes is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement and to inform its global stocktake. This study provides a consolidated synthesis of CH4 and N2O emissions using bottom-up (BU) and top-down (TD) approaches for the European Union and UK (EU27 + UK) and updates earlier syntheses (Petrescu et al., 2020, 2021). The work integrates updated emission inventory data, process-based model results, data-driven sector model results and inverse modeling estimates, and it extends the previous period of 1990–2017 to 2019. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported by parties under the United Nations Framework Convention on Climate Change (UNFCCC) in 2021. Uncertainties in NGHGIs, as reported to the UNFCCC by the EU and its member states, are also included in the synthesis. Variations in estimates produced with other methods, such as atmospheric inversion models (TD) or spatially disaggregated inventory datasets (BU), arise from diverse sources including within-model uncertainty related to parameterization as well as structural differences between models. By comparing NGHGIs with other approaches, the activities included are a key source of bias between estimates, e.g., anthropogenic and natural fluxes, which in atmospheric inversions are sensitive to the prior geospatial distribution of emissions. For CH4 emissions, over the updated 2015–2019 period, which covers a sufficiently robust number of overlapping estimates, and most importantly the NGHGIs, the anthropogenic BU approaches are directly comparable, accounting for mean emissions of 20.5 Tg CH4 yr−1 (EDGARv6.0, last year 2018) and 18.4 Tg CH4 yr−1 (GAINS, last year 2015), close to the NGHGI estimates of 17.5±2.1 Tg CH4 yr−1. TD inversion estimates give higher emission estimates, as they also detect natural emissions. Over the same period, high-resolution regional TD inversions report a mean emission of 34 Tg CH4 yr−1. Coarser-resolution global-scale TD inversions result in emission estimates of 23 and 24 Tg CH4 yr−1 inferred from GOSAT and surface (SURF) network atmospheric measurements, respectively. The magnitude of natural peatland and mineral soil emissions from the JSBACH–HIMMELI model, natural rivers, lake and reservoir emissions, geological sources, and biomass burning together could account for the gap between NGHGI and inversions and account for 8 Tg CH4 yr−1. For N2O emissions, over the 2015–2019 period, both BU products (EDGARv6.0 and GAINS) report a mean value of anthropogenic emissions of 0.9 Tg N2O yr−1, close to the NGHGI data (0.8±55 % Tg N2O yr−1). Over the same period, the mean of TD global and regional inversions was 1.4 Tg N2O yr−1 (excluding TOMCAT, which reported no data). The TD and BU comparison method defined in this study can be operationalized for future annual updates for the calculation of CH4 and N2O budgets at the national and EU27 + UK scales. Future comparability will be enhanced with further steps involving analysis at finer temporal resolutions and estimation of emissions over intra-annual timescales, which is of great importance for CH4 and N2O, and may help identify sector contributions to divergence between prior and posterior estimates at the annual and/or inter-annual scale. Even if currently comparison between CH4 and N2O inversion estimates and NGHGIs is highly uncertain because of the large spread in the inversion results, TD inversions inferred from atmospheric observations represent the most independent data against which inventory totals can be compared. With anticipated improvements in atmospheric modeling and observations, as well as modeling of natural fluxes, TD inversions may arguably emerge as the most powerful tool for verifying emission inventories for CH4, N2O and other GHGs. The referenced datasets related to figures are visualized at https://doi.org/10.5281/zenodo.7553800 (Petrescu et al., 2023).

Published
2023

31. Global Anthropogenic Emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service Simulations of Air Quality Forecasts and Reanalyses.

Author

Soulie, Antonin, Granier, Claire, Darras, Sabine, Zilbermann, Nicolas, Doumbia, Thierno, Guevara, Marc, Jalkanen, Jukka-Pekka, Keita, Sekou, Liousse, Cathy, Crippa, Monica, Guizzardi, Diego, Hoesly, Rachel, and Smith, Steven J.

Subjects
EMISSION inventories, AIR quality, GEODESY, COMMERCIAL aeronautics, WASTE treatment, AIR pollutants
Abstract

Anthropogenic emissions are the result of many different activities, related to transportation, power generation, industrial, residential and commercial activities, waste treatment and agriculture practices. Air quality models are used to forecast the atmospheric composition, analyse observations and reconstruct the chemical composition of the atmosphere during the previous decades. In order to drive these models, gridded emissions of all compounds emitted at the surface need to be provided. This paper describes a new global inventory of emissions called CAMS-GLOB-ANT, developed as part of the Copernicus Atmosphere Monitoring Service (CAMS). The inventory provides monthly averages of the global emissions of 36 compounds, including the main air pollutants and greenhouse gases, at a spatial resolution of 0.1x0.1 degree in latitude and longitude, for 17 emission sectors. The methodology to generate the emissions for the 2000-2023 period is explained, and the datasets are analysed and compared with publicly available global and regional inventories for selected world regions. [ABSTRACT FROM AUTHOR]

Published
2023
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32. The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020

Author

McGrath, Matthew Joseph, primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Juergen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn, additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional

Published
2023
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33. Supplementary material to "The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020"

Author

McGrath, Matthew Joseph, primary, Petrescu, Ana Maria Roxana, additional, Peylin, Philippe, additional, Andrew, Robbie M., additional, Matthews, Bradley, additional, Dentener, Frank, additional, Balkovič, Juraj, additional, Bastrikov, Vladislav, additional, Becker, Meike, additional, Broquet, Gregoire, additional, Ciais, Philippe, additional, Fortems, Audrey, additional, Ganzenmüller, Raphael, additional, Grassi, Giacomo, additional, Harris, Ian, additional, Jones, Matthew, additional, Knauer, Juergen, additional, Kuhnert, Matthias, additional, Monteil, Guillaume, additional, Munassar, Saqr, additional, Palmer, Paul I., additional, Peters, Glen P., additional, Qiu, Chunjing, additional, Schelhaas, Mart-Jan, additional, Tarasova, Oksana, additional, Vizzarri, Matteo, additional, Winkler, Karina, additional, Balsamo, Gianpaolo, additional, Berchet, Antoine, additional, Briggs, Peter, additional, Brockmann, Patrick, additional, Chevallier, Frédéric, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dellaert, Stijn, additional, Denier van der Gon, Hugo A. C., additional, Filipek, Sara, additional, Friedlingstein, Pierre, additional, Fuchs, Richard, additional, Gauss, Michael, additional, Gerbig, Christoph, additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Houghton, Richard A., additional, Janssens-Maenhout, Greet, additional, Lauerwald, Ronny, additional, Lerink, Bas, additional, Luijkx, Ingrid T., additional, Moulas, Géraud, additional, Muntean, Marilena, additional, Nabuurs, Gert-Jan, additional, Paquirissamy, Aurélie, additional, Perugini, Lucia, additional, Peters, Wouter, additional, Pilli, Roberto, additional, Pongratz, Julia, additional, Regnier, Pierre, additional, Scholze, Marko, additional, Serengil, Yusuf, additional, Smith, Pete, additional, Solazzo, Efisio, additional, Thompson, Rona L., additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, and Walther, Sophia, additional

Published
2023
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34. HTAP_v3 emission mosaic: a global effort to tackle air quality issues by quantifying global anthropogenic air pollutant sources

Author

Crippa, Monica, primary, Guizzardi, Diego, additional, Butler, Tim, additional, Keating, Terry, additional, Wu, Rosa, additional, Kaminski, Jacek, additional, Kuenen, Jeroen, additional, Kurokawa, Junichi, additional, Chatani, Satoru, additional, Morikawa, Tazuko, additional, Pouliot, George, additional, Racine, Jacinthe, additional, Moran, Michael D., additional, Klimont, Zbigniew, additional, Manseau, Patrick M., additional, Mashayekhi, Rabab, additional, Henderson, Barron H., additional, Smith, Steven J., additional, Suchyta, Harrison, additional, Muntean, Marilena, additional, Solazzo, Efisio, additional, Banja, Manjola, additional, Schaaf, Edwin, additional, Pagani, Federico, additional, Woo, Jung-Hun, additional, Kim, Jinseok, additional, Monforti-Ferrario, Fabio, additional, Pisoni, Enrico, additional, Zhang, Junhua, additional, Niemi, David, additional, Sassi, Mourad, additional, Ansari, Tabish, additional, and Foley, Kristen, additional

Published
2023
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35. Supplementary material to "HTAP_v3 emission mosaic: a global effort to tackle air quality issues by quantifying global anthropogenic air pollutant sources"

Author

Crippa, Monica, primary, Guizzardi, Diego, additional, Butler, Tim, additional, Keating, Terry, additional, Wu, Rosa, additional, Kaminski, Jacek, additional, Kuenen, Jeroen, additional, Kurokawa, Junichi, additional, Chatani, Satoru, additional, Morikawa, Tazuko, additional, Pouliot, George, additional, Racine, Jacinthe, additional, Moran, Michael D., additional, Klimont, Zbigniew, additional, Manseau, Patrick M., additional, Mashayekhi, Rabab, additional, Henderson, Barron H., additional, Smith, Steven J., additional, Suchyta, Harrison, additional, Muntean, Marilena, additional, Solazzo, Efisio, additional, Banja, Manjola, additional, Schaaf, Edwin, additional, Pagani, Federico, additional, Woo, Jung-Hun, additional, Kim, Jinseok, additional, Monforti-Ferrario, Fabio, additional, Pisoni, Enrico, additional, Zhang, Junhua, additional, Niemi, David, additional, Sassi, Mourad, additional, Ansari, Tabish, additional, and Foley, Kristen, additional

Published
2023
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36. The consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990–2020

Author

McGrath, Matthew Joseph, Petrescu, Ana-Maria-Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank J., Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems-Cheiney, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew W., Knauer, Jürgen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart Jan, Tarasova, Oksana A., Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frederic, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn, A. C. Denier Van Der Gon, Hugo, Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Van Der Laan-Luijkx, Ingrid T., Moulas, Geraud, Muntean, Marilena, Nabuurs, Gert Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., N. Tubiello, Francesco, Vesala, Timo, and Walther, Sophia

Published
2023

37. The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2019

Author

Petrescu, Ana Maria Roxana, Qiu, Chunjing, McGrath, Matthew J., Peylin, Philippe, Peters, Glen P., Ciais, Philippe, Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Höglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank, Groot Zwaaftink, Christine D., Guizzardi, Diego, Günther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppänen, Antti, Lugato, Emanuele, Maisonnier, Manon, Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Smith, Pete, Solazzo, Efisio, Tian, Hanqin, Tubiello, Francesco N., Vesala, Timo, Wilson, Chris, Zaehle, Sönke, Segers, Arjo J., and Manning, Alistair J.

Subjects
methane, nitrous oxide, european synthesis, bottom-up estimates, inversions
Abstract

This repository contains the data files used for figures, and five updated figuresfrom essd-2022-287 Title: The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2019 Author(s): Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Chris W ilson, and Sönke Zaehle MS type: Review article The data and the DOI numberrefers to the updated version which include the two review comments

Published
2023

38. Global anthropogenic CO2 emissions and uncertainties as a prior for Earth system modelling and data assimilation

Author

Choulga, Margarita, Janssens-Maenhout, Greet, Super, Ingrid, Solazzo, Efisio, Agusti-Panareda, Anna, Balsamo, Gianpaolo, Bousserez, Nicolas, Crippa, Monica, Denier van der Gon, Hugo, Engelen, Richard, Guizzardi, Diego, Kuenen, Jeroen, McNorton, Joe, Oreggioni, Gabriel, and Visschedijk, Antoon

Subjects
Environmental sciences, QE1-996.5, GE1-350, Geology
Abstract

The growth in anthropogenic carbon dioxide (CO2) emissions acts as a major climate change driver, which has widespread implications across society, influencing the scientific, political, and public sectors. For an increased understanding of the CO2 emission sources, patterns, and trends, a link between the emission inventories and observed CO2 concentrations is best established via Earth system modelling and data assimilation. Bringing together the different pieces of the puzzle of a very different nature (measurements, reported statistics, and models), it is of utmost importance to know their level of confidence and boundaries well. Inversions disaggregate the variation in observed atmospheric CO2 concentration to variability in CO2 emissions by constraining the regional distribution of CO2 fluxes, derived either bottom-up from statistics or top-down from observations. The level of confidence and boundaries for each of these CO2 fluxes is as important as their intensity, though often not available for bottom-up anthropogenic CO2 emissions. This study provides a postprocessing tool CHE_UNC_APP for anthropogenic CO2 emissions to help assess and manage the uncertainty in the different emitting sectors. The postprocessor is available under https://doi.org/10.5281/zenodo.5196190 (Choulga et al., 2021). Recommendations are given for regrouping the sectoral emissions, taking into account their uncertainty instead of their statistical origin; for addressing local hot spots; for the treatment of sectors with small budget but uncertainties larger than 100 %; and for the assumptions around the classification of countries based on the quality of their statistical infrastructure. This tool has been applied to the EDGARv4.3.2_FT2015 dataset, resulting in seven input grid maps with upper- and lower-half ranges of uncertainty for the European Centre for Medium-Range Weather Forecasts Integrated Forecasting System. The dataset is documented and available under https://doi.org/10.5281/zenodo.3967439 (Choulga et al., 2020). While the uncertainty in most emission groups remains relatively small (5 %–20 %), the largest contribution (usually over 40 %) to the total uncertainty is determined by the OTHER group (of fuel exploitation and transformation but also agricultural soils and solvents) at the global scale. The uncertainties have been compared for selected countries to those reported in the inventories submitted to the United Nations Framework Convention on Climate Change and to those assessed for the European emission grid maps of the Netherlands Organisation for Applied Scientific Research. Several sensitivity experiments are performed to check (1) the country dependence (by analysing the impact of assuming either a well- or less well-developed statistical infrastructure), (2) the fuel type dependence (by adding explicit information for each fuel type used per activity from the Intergovernmental Panel on Climate Change), and (3) the spatial source distribution dependence (by aggregating all emission sources and comparing the effect against an even redistribution over the country). The first experiment shows that the SETTLEMENTS group (of energy for buildings) uncertainty changes the most when development level is changed. The second experiment shows that fuel-specific information reduces uncertainty in emissions only when a country uses several different fuels in the same amount; when a country mainly uses the most globally typical fuel for an activity, uncertainty values computed with and without detailed fuel information are the same. The third experiment highlights the importance of spatial mapping.

Published
2021

39. The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2020

Author

Petrescu, Ana Maria Roxana, Qiu, Chunjing, McGrath, Matthew J., Peylin, Philippe, Peters, Glen P., Ciais, Philippe, Thompson, Rona L., Tsuruta, Aki, Brunner, Dominik, Kuhnert, Matthias, Matthews, Bradley, Palmer, Paul I., Tarasova, Oksana, Regnier, Pierre, Lauerwald, Ronny, Bastviken, David, Höglund-Isaksson, Lena, Winiwarter, Wilfried, Etiope, Giuseppe, Aalto, Tuula, Balsamo, Gianpaolo, Bastrikov, Vladislav, Berchet, Antoine, Brockmann, Patrick, Ciotoli, Giancarlo, Conchedda, Giulia, Crippa, Monica, Dentener, Frank, Groot Zwaaftink, Christine D., Guizzardi, Diego, Günther, Dirk, Haussaire, Jean-Matthieu, Houweling, Sander, Janssens-Maenhout, Greet, Kouyate, Massaer, Leip, Adrian, Leppänen, Antti, Lugato, Emanuele, Maisonnier, Manon, Markkanen, Tiina, McNorton, Joe, Muntean, Marilena, Oreggioni, Gabriel D., Patra, Prabir K., Perugini, Lucia, Pison, Isabelle, Raivonen, Maarit T., Saunois, Marielle, Smith, Pete, Solazzo, Efisio, Tian, Hanqin, Tubiello, Francesco N., Vesala, Timo, Wilson, Chris, Zaehle, Sönke, Segers, Arjo J., and Manning, Alistair J.

Subjects
methane, nitrous oxide, european synthesis, bottom-up estimates, inversions
Abstract

This repository contains the data files used for the figures in essd-2022-287 Title: The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990-2020 Author(s): Ana Maria Roxana Petrescu, Chunjing Qiu, Matthew J. McGrath, Philippe Peylin, Glen P. Peters, Philippe Ciais, Rona L. Thompson, Aki Tsuruta, Dominik Brunner, Matthias Kuhnert, Bradley Matthews, Paul I. Palmer, Oksana Tarasova, Pierre Regnier, Ronny Lauerwald, David Bastviken, Lena Höglund-Isaksson, Wilfried Winiwarter, Giuseppe Etiope, Tuula Aalto, Gianpaolo Balsamo, Vladislav Bastrikov, Antoine Berchet, Patrick Brockmann, Giancarlo Ciotoli, Giulia Conchedda, Monica Crippa, Frank Dentener, Christine D. Groot Zwaaftink, Diego Guizzardi, Dirk Günther, Jean-Matthieu Haussaire, Sander Houweling, Greet Janssens-Maenhout, Massaer Kouyate, Adrian Leip, Antti Leppänen, Emanuele Lugato, Manon Maisonnier, Alistair J. Manning, Tiina Markkanen, Joe McNorton, Marilena Muntean, Gabriel D. Oreggioni, Prabir K. Patra, Lucia Perugini, Isabelle Pison, Maarit T. Raivonen, Marielle Saunois, Arjo J. Segers, Pete Smith, Efisio Solazzo, Hanqin Tian, Francesco N. Tubiello, Timo Vesala, Chris W ilson, and Sönke Zaehle MS type: Review article The data and the DOI number are subject to future updates and only refers to this initial, first submission, version of the paper.

Published
2022
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40. Supplementary material to "The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990–2020"

Author

Petrescu, Ana Maria Roxana, primary, Qiu, Chunjing, additional, McGrath, Matthew J., additional, Peylin, Philippe, additional, Peters, Glen P., additional, Ciais, Philippe, additional, Thompson, Rona L., additional, Tsuruta, Aki, additional, Brunner, Dominik, additional, Kuhnert, Matthias, additional, Matthews, Bradley, additional, Palmer, Paul I., additional, Tarasova, Oksana, additional, Regnier, Pierre, additional, Lauerwald, Ronny, additional, Bastviken, David, additional, Höglund-Isaksson, Lena, additional, Winiwarter, Wilfried, additional, Etiope, Giuseppe, additional, Aalto, Tuula, additional, Balsamo, Gianpaolo, additional, Bastrikov, Vladislav, additional, Berchet, Antoine, additional, Brockmann, Patrick, additional, Ciotoli, Giancarlo, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dentener, Frank, additional, Groot Zwaaftink, Christine D., additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Haussaire, Jean-Matthieu, additional, Houweling, Sander, additional, Janssens-Maenhout, Greet, additional, Kouyate, Massaer, additional, Leip, Adrian, additional, Leppänen, Antti, additional, Lugato, Emanuele, additional, Maisonnier, Manon, additional, Manning, Alistair J., additional, Markkanen, Tiina, additional, McNorton, Joe, additional, Muntean, Marilena, additional, Oreggioni, Gabriel D., additional, Patra, Prabir K., additional, Perugini, Lucia, additional, Pison, Isabelle, additional, Raivonen, Maarit T., additional, Saunois, Marielle, additional, Segers, Arjo J., additional, Smith, Pete, additional, Solazzo, Efisio, additional, Tian, Hanqin, additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, Wilson, Chris, additional, and Zaehle, Sönke, additional

Published
2022
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41. The consolidated European synthesis of CH4 and N2O emissions for EU27 and UK: 1990–2020

Author

Petrescu, Ana Maria Roxana, primary, Qiu, Chunjing, additional, McGrath, Matthew J., additional, Peylin, Philippe, additional, Peters, Glen P., additional, Ciais, Philippe, additional, Thompson, Rona L., additional, Tsuruta, Aki, additional, Brunner, Dominik, additional, Kuhnert, Matthias, additional, Matthews, Bradley, additional, Palmer, Paul I., additional, Tarasova, Oksana, additional, Regnier, Pierre, additional, Lauerwald, Ronny, additional, Bastviken, David, additional, Höglund-Isaksson, Lena, additional, Winiwarter, Wilfried, additional, Etiope, Giuseppe, additional, Aalto, Tuula, additional, Balsamo, Gianpaolo, additional, Bastrikov, Vladislav, additional, Berchet, Antoine, additional, Brockmann, Patrick, additional, Ciotoli, Giancarlo, additional, Conchedda, Giulia, additional, Crippa, Monica, additional, Dentener, Frank, additional, Groot Zwaaftink, Christine D., additional, Guizzardi, Diego, additional, Günther, Dirk, additional, Haussaire, Jean-Matthieu, additional, Houweling, Sander, additional, Janssens-Maenhout, Greet, additional, Kouyate, Massaer, additional, Leip, Adrian, additional, Leppänen, Antti, additional, Lugato, Emanuele, additional, Maisonnier, Manon, additional, Manning, Alistair J., additional, Markkanen, Tiina, additional, McNorton, Joe, additional, Muntean, Marilena, additional, Oreggioni, Gabriel D., additional, Patra, Prabir K., additional, Perugini, Lucia, additional, Pison, Isabelle, additional, Raivonen, Maarit T., additional, Saunois, Marielle, additional, Segers, Arjo J., additional, Smith, Pete, additional, Solazzo, Efisio, additional, Tian, Hanqin, additional, Tubiello, Francesco N., additional, Vesala, Timo, additional, Wilson, Chris, additional, and Zaehle, Sönke, additional

Published
2022
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43. CoCO2-MOSAIC 1.0: a global mosaic of regional, gridded, fossil and biofuel CO2 emission inventories.

Author

Urraca, Ruben, Janssens-Maenhout, Greet, Álamos, Nicolás, Berna-Peña, Lucas, Crippa, Monica, Darras, Sabine, Dellaert, Stijn, van der Gon, Hugo Denier, Dowel, Mark, Gobron, Nadine, Granier, Claire, Grassi, Giacomo, Guevara, Marc, Guizzardi, Diego, Gurney, Kevin, Huneeus, Nicolás, Keita, Sekou, Kuenen, Jeroen, Lopez-Noreña, Ana, and Puliafito, Enrique

Subjects
EMISSION inventories, BASELINE emissions, BIOMASS energy, CARBON emissions, FOSSIL fuels, FOSSILS
Abstract

Gridded bottom-up inventories of CO2 emissions are needed in global CO2 inversion schemes as priors to initialize transport models, and as a complement to top-down estimates to identify the anthropogenic sources. Global inversions require gridded datasets almost in near-real time that are spatially and methodologically consistent at a global scale. This may result in a loss of more detailed information that can be assessed by using regional inventories because they are built with greater level of detail including country-specific information and finer resolution data. With this aim, a global mosaic of regional, gridded CO2 emission inventories, hereafter referred to as CoCO2-MOSAIC 1.0, has been built in the framework of the CoCO2 project. CoCO2-MOSAIC 1.0 provides gridded (0.1°×0.1°) monthly emissions fluxes of CO2 fossil fuel (CO2ff, long cycle) and CO2 biofuel (CO2bf, short cycle) for the years 2015 to 2018 disaggregated in seven sectors. The regional inventories integrated are CAMS-REG-GHG 5.1 (Europe), DACCIWA 2.0 (Africa), GEAA-AEI 3.0 (Argentina), INEMA 1.0 (Chile), REAS 3.2.1 (South-East Asia) and VULCAN 3.0 (USA). EDGAR 6.0, CAMS-GLOB-SHIP 3.1 and CAMS-GLOB-TEMPO 3.1 are used for gap-filling. CoCO2-MOSAIC 1.0 can be recommended as a global baseline emission inventory for 2015 that is regionally accepted as a reference, and as so we use the mosaic to inter-compare the most widely used global emission inventories: CAMS-GLOB-ANT 5.3, EDGAR 6.0, ODIAC v2020b, and CEDS v2020_04_24. CoCO2-MOSAIC 1.0 has the highest CO2ff and CO2bf emissions globally, particularly in the USA and Africa. Regional emissions generally have a higher seasonality representing better the local monthly profiles and are generally distributed over a higher number of pixels, due to the more detailed information available. Most regional inventories provide large emitters (energy, manufacturing) as point sources improving the agreement with the CoCO2 1.0 global power plant database. All super-emitting pixels from regional inventories contain a power station whereas several super-emitters from global inventories are likely incorrectly geo-located. CoCO2- MOSAIC 1.0 is freely available at zenodo (https://doi.org/10.5281/zenodo.7092358) (Urraca et al., 2023) and at the JRC Data Catalogue. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Data for the consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020

Author

McGrath, Matthew Joseph, Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Juergen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart-Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn, Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert-Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, Walther, Sophia, McGrath, Matthew Joseph, Petrescu, Ana Maria Roxana, Peylin, Philippe, Andrew, Robbie M., Matthews, Bradley, Dentener, Frank, Balkovič, Juraj, Bastrikov, Vladislav, Becker, Meike, Broquet, Gregoire, Ciais, Philippe, Fortems, Audrey, Ganzenmüller, Raphael, Grassi, Giacomo, Harris, Ian, Jones, Matthew, Knauer, Juergen, Kuhnert, Matthias, Monteil, Guillaume, Munassar, Saqr, Palmer, Paul I., Peters, Glen P., Qiu, Chunjing, Schelhaas, Mart-Jan, Tarasova, Oksana, Vizzarri, Matteo, Winkler, Karina, Balsamo, Gianpaolo, Berchet, Antoine, Briggs, Peter, Brockmann, Patrick, Chevallier, Frédéric, Conchedda, Giulia, Crippa, Monica, Dellaert, Stijn, Denier van der Gon, Hugo A.C., Filipek, Sara, Friedlingstein, Pierre, Fuchs, Richard, Gauss, Michael, Gerbig, Christoph, Guizzardi, Diego, Günther, Dirk, Houghton, Richard A., Janssens-Maenhout, Greet, Lauerwald, Ronny, Lerink, Bas, Luijkx, Ingrid T., Moulas, Géraud, Muntean, Marilena, Nabuurs, Gert-Jan, Paquirissamy, Aurélie, Perugini, Lucia, Peters, Wouter, Pilli, Roberto, Pongratz, Julia, Regnier, Pierre, Scholze, Marko, Serengil, Yusuf, Smith, Pete, Solazzo, Efisio, Thompson, Rona L., Tubiello, Francesco N., Vesala, Timo, and Walther, Sophia

Abstract

The annual carbon dioxide fluxes used to create all graphs in the main text of McGrath et al, "European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020", submitted to Earth System Science Data.

Published
2022

45. Effects of extreme meteorological conditions in 2018 on European methane emissions estimated using atmospheric inversions

Author

Thompson, Rona L., Groot Zwaaftink, C. D., Brunner, D., Tsuruta, Aki, Aalto, Tuula, Raivonen, Maarit, Crippa, M., Solazzo, Efisio, Guizzardi, Diego, Regnier, Pierre, Maisonnier, Manon, Thompson, Rona L., Groot Zwaaftink, C. D., Brunner, D., Tsuruta, Aki, Aalto, Tuula, Raivonen, Maarit, Crippa, M., Solazzo, Efisio, Guizzardi, Diego, Regnier, Pierre, and Maisonnier, Manon

Abstract

The effect of the 2018 extreme meteorological conditions in Europe on methane (CH 4 ) emissions is examined using estimates from four atmospheric inversions calculated for the period 2005–2018. For most of Europe, we find no anomaly in 2018 compared to the 2005–2018 mean. However, we find a positive anomaly for the Netherlands in April, which coincided with positive temperature and soil moisture anomalies suggesting an increase in biogenic sources. We also find a negative anomaly for the Netherlands for September–October, which coincided with a negative anomaly in soil moisture, suggesting a decrease in soil sources. In addition, we find a positive anomaly for Serbia in spring, summer and autumn, which coincided with increases in temperature and soil moisture, again suggestive of changes in biogenic sources, and the annual emission for 2018 was 33 ± 38% higher than the 2005–2017 mean. These results indicate that CH 4 emissions from areas where the natural source is thought to be relatively small can still vary due to meteorological conditions. At the European scale though, the degree of variability over 2005–2018 was small, and there was negligible impact on the annual CH 4 emissions in 2018 despite the extreme meteorological conditions. This article is part of a discussion meeting issue ‘Rising methane: is warming feeding warming? (part 2)’., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2022

46. Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel

Author

Pozzer, Andrea, Reifenberg, Simon S.F., Kumar, Vinod, Franco, Bruno, Kohl, Matthias, Taraborrelli, D., Gromov, Sergey S.P., Ehrhart, Sebastian, Jöckel, Patrick, Sander, Rolf, Fall, Veronica, Rosanka, Simon, Karydis, Vlassis, Akritidis, Dimitris, Emmerichs, Tamara, Crippa, Monica, Guizzardi, Diego, Kaiser, Johannes, Clarisse, Lieven, Kiendler-Scharr, Astrid, Tost, Holger, Tsimpidi, Alexandra, Pozzer, Andrea, Reifenberg, Simon S.F., Kumar, Vinod, Franco, Bruno, Kohl, Matthias, Taraborrelli, D., Gromov, Sergey S.P., Ehrhart, Sebastian, Jöckel, Patrick, Sander, Rolf, Fall, Veronica, Rosanka, Simon, Karydis, Vlassis, Akritidis, Dimitris, Emmerichs, Tamara, Crippa, Monica, Guizzardi, Diego, Kaiser, Johannes, Clarisse, Lieven, Kiendler-Scharr, Astrid, Tost, Holger, and Tsimpidi, Alexandra

Abstract

An updated and expanded representation of organics in the chemistry general circulation model EMAC (ECHAM5/MESSy for Atmospheric Chemistry) has been evaluated. First, the comprehensive Mainz Organic Mechanism (MOM) in the submodel MECCA (Module Efficiently Calculating the Chemistry of the Atmosphere) was activated with explicit degradation of organic species up to five carbon atoms and a simplified mechanism for larger molecules. Second, the ORACLE submodel (version 1.0) now considers condensation on aerosols for all organics in the mechanism. Parameterizations for aerosol yields are used only for the lumped species that are not included in the explicit mechanism. The simultaneous usage of MOM and ORACLE allows an efficient estimation of not only the chemical degradation of the simulated volatile organic compounds but also the contribution of organics to the growth and fate of (organic) aerosol, with the complexity of the mechanism largely increased compared to EMAC simulations with more simplified chemistry. The model evaluation presented here reveals that the OH concentration is reproduced well globally, whereas significant biases for observed oxygenated organics are present. We also investigate the general properties of the aerosols and their composition, showing that the more sophisticated and process-oriented secondary aerosol formation does not degrade the good agreement of previous model configurations with observations at the surface, allowing further research in the field of gas-aerosol interactions. Copyright, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2022

47. Modelling the Impact of the Introduction of the EURO 6d-TEMP/6d Regulation for Light-Duty Vehicles on EU Air Quality

Author

de Meij, Alexander, primary, Astorga, Covadonga, additional, Thunis, Philippe, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Pisoni, Enrico, additional, Valverde, Victor, additional, Suarez-Bertoa, Ricardo, additional, Oreggioni, Gabriel David, additional, Mahiques, Ornella, additional, and Franco, Vicente, additional

Published
2022
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48. Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel

Author

Pozzer, Andrea, primary, Reifenberg, Simon F., additional, Kumar, Vinod, additional, Franco, Bruno, additional, Kohl, Matthias, additional, Taraborrelli, Domenico, additional, Gromov, Sergey, additional, Ehrhart, Sebastian, additional, Jöckel, Patrick, additional, Sander, Rolf, additional, Fall, Veronica, additional, Rosanka, Simon, additional, Karydis, Vlassis, additional, Akritidis, Dimitris, additional, Emmerichs, Tamara, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Kaiser, Johannes W., additional, Clarisse, Lieven, additional, Kiendler-Scharr, Astrid, additional, Tost, Holger, additional, and Tsimpidi, Alexandra, additional

Published
2022
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49. A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019

Author

Minx, Jan C., primary, Lamb, William F., additional, Andrew, Robbie M., additional, Canadell, Josep G., additional, Crippa, Monica, additional, Döbbeling, Niklas, additional, Forster, Piers M., additional, Guizzardi, Diego, additional, Olivier, Jos, additional, Peters, Glen P., additional, Pongratz, Julia, additional, Reisinger, Andy, additional, Rigby, Matthew, additional, Saunois, Marielle, additional, Smith, Steven J., additional, Solazzo, Efisio, additional, and Tian, Hanqin, additional

Published
2021
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50. Supplementary material to "Simulation of organics in the atmosphere: evaluation of EMACv2.54 with the Mainz Organic Mechanism (MOM) coupled to the ORACLE (v1.0) submodel"

Author

Pozzer, Andrea, primary, Reifenberg, Simon, additional, Kumar, Vinod, additional, Franco, Bruno, additional, Taraborrelli, Domenico, additional, Gromov, Sergy, additional, Ehrhart, Sebastian, additional, Jöckel, Patrick, additional, Sander, Rolf, additional, Fall, Veronica, additional, Rosanka, Simon, additional, Karydis, Vlassis, additional, Akritidis, Dimitris, additional, Emmerichs, Tamara, additional, Crippa, Monica, additional, Guizzardi, Diego, additional, Kaiser, Johannes W., additional, Clarisse, Lieven, additional, Kiendler-Scharr, Astrid, additional, Tost, Holger, additional, and Tsimpidi, Alexandra, additional

Published
2021
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