Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14159-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-23-14159-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions
Ioannis Katharopoulos
CORRESPONDING AUTHOR
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Dominique Rust
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Department of Chemistry and Applied Biosciences, ETH Zurich, Zurich, Switzerland
Martin K. Vollmer
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Dominik Brunner
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
Stefan Reimann
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Simon J. O'Doherty
School of Chemistry, University of Bristol, Bristol, United Kingdom
Dickon Young
School of Chemistry, University of Bristol, Bristol, United Kingdom
Kieran M. Stanley
School of Chemistry, University of Bristol, Bristol, United Kingdom
Institute for Atmospheric and Environmental Science, Goethe University Frankfurt, Frankfurt am Main, Germany
Tanja Schuck
Institute for Atmospheric and Environmental Science, Goethe University Frankfurt, Frankfurt am Main, Germany
Jgor Arduini
Department of Pure and Applied Sciences, University of Urbino, Urbino, Italy
CNR-ISAC, National Research Council of Italy, Institute of Atmospheric Sciences and Climate, Bologna, Italy
Lukas Emmenegger
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Laboratory for Air Pollution/Environmental Technology, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
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Cited
3 citations as recorded by crossref.
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al. 10.1016/j.atmosenv.2024.120715
- A Sensitivity Study of a Bayesian Inversion Model Used to Estimate Emissions of Synthetic Greenhouse Gases at the European Scale S. Annadate et al. 10.3390/atmos15010051
- First Atmospheric Measurements and Emission Estimates of HFO-1336mzz(Z) D. Rust et al. 10.1021/acs.est.3c01826
2 citations as recorded by crossref.
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al. 10.1016/j.atmosenv.2024.120715
- A Sensitivity Study of a Bayesian Inversion Model Used to Estimate Emissions of Synthetic Greenhouse Gases at the European Scale S. Annadate et al. 10.3390/atmos15010051
1 citations as recorded by crossref.
Latest update: 23 Dec 2024
Short summary
The effectiveness of climate change mitigation needs to be scrutinized by monitoring greenhouse gas (GHG) emissions. Countries report their emissions to the UN in a bottom-up manner. By combining atmospheric observations and transport models someone can independently validate emission estimates in a top-down fashion. We report Swiss emissions of synthetic GHGs based on kilometer-scale transport and inverse modeling, highlighting the role of appropriate resolution in complex terrain.
The effectiveness of climate change mitigation needs to be scrutinized by monitoring greenhouse...
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