Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-14145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-14145-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Nov 2017
Research article |
| 28 Nov 2017
Spatiotemporal patterns of the fossil-fuel CO2 signal in central Europe: results from a high-resolution atmospheric transport model
Yu Liu
Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Zurich, Switzerland
Nicolas Gruber
CORRESPONDING AUTHOR
Environmental Physics, Institute of Biogeochemistry and Pollutant Dynamics, ETH Zurich, Zurich, Switzerland
Center for Climate Systems Modeling (C2SM), ETH Zurich, Zurich, Switzerland
Dominik Brunner
Laboratory for Air Pollution/Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology, Empa, Duebendorf, Switzerland
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- Global Per Capita CO2 Emission Trends S. Yang et al. 10.3390/atmos14121797
- An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 M. Jähn et al. 10.5194/gmd-13-2379-2020
- Carbon dioxide exchange in an idealized valley M. Reif et al. 10.1016/j.envsoft.2023.105887
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- Accounting for the vertical distribution of emissions in atmospheric CO<sub>2</sub> simulations D. Brunner et al. 10.5194/acp-19-4541-2019
- High-resolution simulation of wintertime fossil fuel CO2 in Beijing, China: Characteristics, sources, and regional transport T. Feng et al. 10.1016/j.atmosenv.2018.10.054
- A high-definition spatially explicit modelling approach for national greenhouse gas emissions from industrial processes: reducing the errors and uncertainties in global emission modelling N. Charkovska et al. 10.1007/s11027-018-9836-6
- Modeling the environmental implications of car ownership and energy consumption in the UK: Evidence from NARDL model O. Funsho Idowu et al. 10.1080/15568318.2021.1969708
- Detectability of CO<sub>2</sub> emission plumes of cities and power plants with the Copernicus Anthropogenic CO<sub>2</sub> Monitoring (CO2M) mission G. Kuhlmann et al. 10.5194/amt-12-6695-2019
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
- Simulations of summertime fossil fuel CO2 in the Guanzhong basin, China T. Feng et al. 10.1016/j.scitotenv.2017.12.021
- Adsorption properties of seaweed-based biochar with the greenhouse gases (CO2, CH4, N2O) through density functional theory (DFT) X. Yang et al. 10.1016/j.biombioe.2022.106519
- How do trade-offs between urban expansion and ecological construction influence CO2 emissions? New evidence from China G. Liu & F. Zhang 10.1016/j.ecolind.2022.109070
- Spatiotemporal Variations of City-Level Carbon Emissions in China during 2000–2017 Using Nighttime Light Data Y. Sun et al. 10.3390/rs12182916
- High-resolution spatiotemporal patterns of China’s FFCO2 emissions under the impact of LUCC from 2000 to 2015 J. Zhao et al. 10.1088/1748-9326/ab6edc
Latest update: 14 Dec 2024
Short summary
We analyze fossil fuel signals in atmospheric CO2 over Europe using a high-resolution atmospheric transport model and diurnal emission data. We find that fossil fuel CO2 accounts for more than half of the atmospheric CO2 variations, mainly at diurnal timescales. The covariance of diurnal emission and transport also leads to a substantial rectification effect. Thus, the consideration of diurnal emissions and high-resolution transport is paramount for accurately modeling the fossil fuel signal.
We analyze fossil fuel signals in atmospheric CO2 over Europe using a high-resolution...
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