Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14325-2023
© 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-23-14325-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model
Xinxu Zhao
Electrical and Computer Engineering, Technische Unversität München, 80333 Munich, Germany
Electrical and Computer Engineering, Technische Unversität München, 80333 Munich, Germany
Julia Marshall
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, 82234 Weßling, Germany
Michal Gałkowski
Airborne trace gas measurements and mesoscale modelling, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, 30059 Kraków, Poland
Stephan Hachinger
Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities, Boltzmannstr. 1, 85748 Garching, Germany
Florian Dietrich
Electrical and Computer Engineering, Technische Unversität München, 80333 Munich, Germany
Ankit Shekhar
Department of Environmental Systems Science, ETH Zurich, Universitätstrasse 2, 8092 Zürich, Switzerland
Johannes Gensheimer
Electrical and Computer Engineering, Technische Unversität München, 80333 Munich, Germany
Adrian Wenzel
Electrical and Computer Engineering, Technische Unversität München, 80333 Munich, Germany
Christoph Gerbig
Airborne trace gas measurements and mesoscale modelling, Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
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Cited
9 citations as recorded by crossref.
- Developed urban datasets for WRF-STILT: impacts on near-surface CO2 concentration in urban functional zones C. Xu et al.
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al.
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al.
- Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations H. Ohyama et al.
- A Structured Literature Review of the Application of Local Climate Zones (LCZ) in Urban Climate Modelling T. Gál et al.
- Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
- Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al.
- Improving urban CO2 spatial distribution modelling using multi-source data E. Sun et al.
9 citations as recorded by crossref.
- Developed urban datasets for WRF-STILT: impacts on near-surface CO2 concentration in urban functional zones C. Xu et al.
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al.
- Intercomparison of biogenic CO2 flux models in four urban parks in the city of Zurich S. Stagakis et al.
- Anthropogenic CO2 emission estimates in the Tokyo metropolitan area from ground-based CO2 column observations H. Ohyama et al.
- A Structured Literature Review of the Application of Local Climate Zones (LCZ) in Urban Climate Modelling T. Gál et al.
- Estimation of Carbon Dioxide and Methane Emissions and Absorption by Land and Ocean Surfaces in the 21st Century A. Olchev
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
- Assessing climate and air quality benefits of methane mitigation for U.S. landfills A. Folorunsho et al.
- Improving urban CO2 spatial distribution modelling using multi-source data E. Sun et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
We develop a modeling framework using the Weather Research and Forecasting model at a high spatial resolution (up to 400 m) to simulate atmospheric transport of greenhouse gases and interpret column observations. Output is validated against weather stations and column measurements in August 2018. The differential column method is applied, aided by air-mass transport tracing with the Stochastic Time-Inverted Lagrangian Transport (STILT) model, also for an exploratory measurement interpretation.
We develop a modeling framework using the Weather Research and Forecasting model at a high...
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