Articles | Volume 14, issue 2
https://doi.org/10.5194/essd-14-491-2022
© Author(s) 2022. 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-14-491-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAMS-REG-v4: a state-of-the-art high-resolution European emission inventory for air quality modelling
Department of Climate, Air and Sustainability, TNO, Princetonlaan 6,
3584 CB Utrecht, the Netherlands
Stijn Dellaert
Department of Climate, Air and Sustainability, TNO, Princetonlaan 6,
3584 CB Utrecht, the Netherlands
Antoon Visschedijk
Department of Climate, Air and Sustainability, TNO, Princetonlaan 6,
3584 CB Utrecht, the Netherlands
Jukka-Pekka Jalkanen
Department of Atmospheric Composition Research, FMI, P.O. Box 503,
00101 Helsinki, Finland
Ingrid Super
Department of Climate, Air and Sustainability, TNO, Princetonlaan 6,
3584 CB Utrecht, the Netherlands
Hugo Denier van der Gon
Department of Climate, Air and Sustainability, TNO, Princetonlaan 6,
3584 CB Utrecht, the Netherlands
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- Forest–atmosphere exchange of reactive nitrogen in a remote region – Part II: Modeling annual budgets P. Wintjen et al. 10.5194/bg-19-5287-2022
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- Anthropogenic Emission Scenarios over Europe with the WRF-CHIMERE-v2020 Models: Impact of Duration and Intensity of Reductions on Surface Concentrations during the Winter of 2015 A. Cholakian et al. 10.3390/atmos14020224
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Discussed (final revised paper)
Latest update: 21 Sep 2023
Short summary
This paper presents an 18-year time series for anthropogenic emissions for the main air pollutants in Europe, distinguishing 15 main source categories. It provides a complete overview of emissions to air and is designed to support air quality modelling. The data build where possible on official country total emissions used in the policy processes, but where necessary alternative data were used. The emission data are spatially distributed at high resolution (~ 6 km x 6 km) in a consistent way.
This paper presents an 18-year time series for anthropogenic emissions for the main air...