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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- 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
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- 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
22 citations as recorded by crossref.
- On the diurnal, weekly, and seasonal cycles and annual trends in atmospheric CO2 at Mount Zugspitze, Germany, during 1981–2016 Y. Yuan et al. 10.5194/acp-19-999-2019
- Pixel Size and Revisit Rate Requirements for Monitoring Power Plant CO2 Emissions from Space T. Hill & R. Nassar 10.3390/rs11131608
- Quantifying CO2 emissions of a city with the Copernicus Anthropogenic CO2 Monitoring satellite mission G. Kuhlmann et al. 10.5194/amt-13-6733-2020
- Multiscale analysis on spatiotemporal dynamics of energy consumption CO2 emissions in China: Utilizing the integrated of DMSP-OLS and NPP-VIIRS nighttime light datasets Q. Lv et al. 10.1016/j.scitotenv.2019.134394
- An inversion method for estimating strong point carbon dioxide emissions using a differential absorption Lidar T. Shi et al. 10.1016/j.jclepro.2020.122434
- 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
- Preparation of nitrogen-containing chemicals from lignocellulosic biomass and nitrogen-rich organic solid waste by pyrolysis: Characteristics, reaction mechanisms, and feedstock interactions Z. He et al. 10.1016/j.cej.2024.153793
- Accounting for the vertical distribution of emissions in atmospheric CO2 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
- Indian Land Carbon Sink Estimated from Surface and GOSAT Observations L. Nayagam et al. 10.3390/rs17030450
- Detectability of CO2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO2 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
- Modeling the Atmospheric CO2 Concentration in the Beijing Region and Assessing the Impacts of Fossil Fuel Emissions Z. Liang et al. 10.3390/environments12050156
- 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: 11 Jul 2025
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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