Articles | Volume 16, issue 5
https://doi.org/10.5194/essd-16-2261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2261-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
06 May 2024
Data description paper |
| 06 May 2024
| 06 May 2024
Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses
Antonin Soulie
CORRESPONDING AUTHOR
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Claire Granier
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
CIRES, University of Colorado Boulder, Boulder, CO, USA
Sabine Darras
Observatoire Midi-Pyrénées, Toulouse, France
European Commission, Joint Research Centre (JRC), Ispra, Italy
Nicolas Zilbermann
Observatoire Midi-Pyrénées, Toulouse, France
Thierno Doumbia
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Marc Guevara
Barcelona Supercomputing Center, Barcelona, Spain
Jukka-Pekka Jalkanen
Department of Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
Sekou Keita
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Cathy Liousse
Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France
Monica Crippa
European Commission, Joint Research Centre (JRC), Ispra, Italy
Unisystem S.A., Milan, Italy
Diego Guizzardi
European Commission, Joint Research Centre (JRC), Ispra, Italy
Rachel Hoesly
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
Steven J. Smith
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, USA
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Cited
13 citations as recorded by crossref.
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
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- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. 10.5194/acp-24-9475-2024
- Mapping the Global Carbon Emissions of Marine Sectors C. Feng et al. 10.1021/acs.est.4c09209
- An improved representation of aerosol in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12 – a first attempt at simulating aerosol acidity S. Rémy et al. 10.5194/gmd-17-7539-2024
- The CHIMERE chemistry-transport model v2023r1 L. Menut et al. 10.5194/gmd-17-5431-2024
- Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. 10.1016/j.envpol.2024.124707
- Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations A. Marongiu et al. 10.3390/air2010003
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Comparison of Air Pollution–Mortality Associations Using Observed Particulate Matter Concentrations and Reanalysis Data in 33 Spanish Cities D. Royé et al. 10.1021/envhealth.3c00128
- Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-24-4875-2024
- Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses A. Soulie et al. 10.5194/essd-16-2261-2024
8 citations as recorded by crossref.
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- Technical note: Evaluation of the Copernicus Atmosphere Monitoring Service Cy48R1 upgrade of June 2023 H. Eskes et al. 10.5194/acp-24-9475-2024
- Mapping the Global Carbon Emissions of Marine Sectors C. Feng et al. 10.1021/acs.est.4c09209
- An improved representation of aerosol in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12 – a first attempt at simulating aerosol acidity S. Rémy et al. 10.5194/gmd-17-7539-2024
- The CHIMERE chemistry-transport model v2023r1 L. Menut et al. 10.5194/gmd-17-5431-2024
- Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. 10.1016/j.envpol.2024.124707
5 citations as recorded by crossref.
- Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations A. Marongiu et al. 10.3390/air2010003
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Comparison of Air Pollution–Mortality Associations Using Observed Particulate Matter Concentrations and Reanalysis Data in 33 Spanish Cities D. Royé et al. 10.1021/envhealth.3c00128
- Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-24-4875-2024
- Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses A. Soulie et al. 10.5194/essd-16-2261-2024
Latest update: 20 Nov 2024
Short summary
Anthropogenic emissions are the result of transportation, power generation, industrial, residential and commercial activities as well as waste treatment and agriculture practices. This work describes the new CAMS-GLOB-ANT gridded inventory of 2000–2023 anthropogenic emissions of air pollutants and greenhouse gases. The methodology to generate the emissions is explained and the datasets are analysed and compared with publicly available global and regional inventories for selected world regions.
Anthropogenic emissions are the result of transportation, power generation, industrial,...
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