Articles | Volume 22, issue 11
https://doi.org/10.5194/acp-22-7763-2022
© 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/acp-22-7763-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of CO2, CH4, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations
Sieglinde Callewaert
CORRESPONDING AUTHOR
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jérôme Brioude
Laboratoire de l’Atmosphère et des Cyclones (LACy), UMR 8105, Saint-Denis, Réunion Island, France
Bavo Langerock
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Valentin Duflot
Laboratoire de l’Atmosphère et des Cyclones (LACy), UMR 8105, Saint-Denis, Réunion Island, France
Dominique Fonteyn
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jean-François Müller
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jean-Marc Metzger
UAR 3365 – OSU Réunion, Université de La Réunion, Saint-Denis, Réunion Island, France
Christian Hermans
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Nicolas Kumps
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, UMR 8212 (CEA, CNRS, UVSQ), Gif-sur-Yvette, France
Morgan Lopez
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, UMR 8212 (CEA, CNRS, UVSQ), Gif-sur-Yvette, France
Emmanuel Mahieu
UR SPHERES, Department of Astrophysics, Geophysics and Oceanography, University of Liège, Liège, Belgium
Martine De Mazière
Division of Sources and Sinks of Atmospheric Constituents: Infrared observations, Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
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Cited
23 citations as recorded by crossref.
- Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al.
- Study on CO 2 concentration assimilation by integrating a multi-source satellite fusion dataset based on the WRF-Chem model W. Liu et al.
- Constraining the budget of NOx and volatile organic compounds at a remote tropical island using multi-platform observations and WRF-Chem model simulations C. Poraicu et al.
- A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al.
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al.
- Creating a comprehensive model to support greenhouse gas emission strategies: A case-study for Ireland A. Sati et al.
- Emission characteristics of greenhouse gases and air pollutants in a Qinghai-Tibetan Plateau city using a portable Fourier transform spectrometer and TROPOMI observations Q. Tu et al.
- COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets Q. Tu et al.
- Simulation and analysis of CO2 concentration in China from 2009 to 2021 based on the WRF-Chem model W. Liu et al.
- Mercury in the free troposphere and bidirectional atmosphere–vegetation exchanges – insights from Maïdo mountain observatory in the Southern Hemisphere tropics A. Koenig et al.
- Intra-Urban CO2 Spatiotemporal Patterns and Driving Factors Using Multi-Source Data and AI Methods: A Case Study of Shanghai, China L. Pan et al.
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al.
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al.
- Short-term trend and temporal variations in atmospheric methane at an Atlantic coastal site in Southwestern Europe R. Padilla et al.
- Effects of anthropogenic emissions and meteorological conditions on diurnal variation of formaldehyde (HCHO) in the Yangtze River Delta, China Y. Gao et al.
- Complex Validation of Weather Research and Forecasting—Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland G. Nerobelov et al.
- Global Estimation of Surface Methane Using Low-Earth Orbit Satellite Data and Machine Learning: Comparison of Linear and Nonlinear Models D. Lee et al.
- Black carbon aerosols over Indian Ocean have unique source fingerprint and optical characteristics during monsoon season K. Budhavant et al.
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al.
- Monitoring and volatile organic compounds characterization (isoprene, monoterpene and BTEX) in a tropical-oceanic environment in Reunion island (Indian ocean, south hemisphere) O. Magand et al.
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al.
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al.
- Optimizing CO2 Concentrations and Emissions Based on the WRF-Chem Model Integrated with the 3DVAR and EAKF Methods W. Liu et al.
23 citations as recorded by crossref.
- Identifying Major CO2 and CH4 Emission Sources with the STILT Model in the Seoul Metropolitan Area During Winter 2024, Including the ASIA-AQ Campaign H. Choi et al.
- Study on CO 2 concentration assimilation by integrating a multi-source satellite fusion dataset based on the WRF-Chem model W. Liu et al.
- Constraining the budget of NOx and volatile organic compounds at a remote tropical island using multi-platform observations and WRF-Chem model simulations C. Poraicu et al.
- A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed in Xianghe, China – Part 1: Methane (CH4) S. Callewaert et al.
- A Modeling Framework of Atmospheric CO2 in the Mediterranean Marseille Coastal City Area, France B. Nathan et al.
- Creating a comprehensive model to support greenhouse gas emission strategies: A case-study for Ireland A. Sati et al.
- Emission characteristics of greenhouse gases and air pollutants in a Qinghai-Tibetan Plateau city using a portable Fourier transform spectrometer and TROPOMI observations Q. Tu et al.
- COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets Q. Tu et al.
- Simulation and analysis of CO2 concentration in China from 2009 to 2021 based on the WRF-Chem model W. Liu et al.
- Mercury in the free troposphere and bidirectional atmosphere–vegetation exchanges – insights from Maïdo mountain observatory in the Southern Hemisphere tropics A. Koenig et al.
- Intra-Urban CO2 Spatiotemporal Patterns and Driving Factors Using Multi-Source Data and AI Methods: A Case Study of Shanghai, China L. Pan et al.
- Implementation of a satellite-based tool for the quantification of CH4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data A. Vara-Vela et al.
- WRF-Chem simulations of CO2 over Belgium and surrounding countries assessed by ground-based measurements J. Wang et al.
- Short-term trend and temporal variations in atmospheric methane at an Atlantic coastal site in Southwestern Europe R. Padilla et al.
- Effects of anthropogenic emissions and meteorological conditions on diurnal variation of formaldehyde (HCHO) in the Yangtze River Delta, China Y. Gao et al.
- Complex Validation of Weather Research and Forecasting—Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland G. Nerobelov et al.
- Global Estimation of Surface Methane Using Low-Earth Orbit Satellite Data and Machine Learning: Comparison of Linear and Nonlinear Models D. Lee et al.
- Black carbon aerosols over Indian Ocean have unique source fingerprint and optical characteristics during monsoon season K. Budhavant et al.
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al.
- Monitoring and volatile organic compounds characterization (isoprene, monoterpene and BTEX) in a tropical-oceanic environment in Reunion island (Indian ocean, south hemisphere) O. Magand et al.
- Comparison of CO2 Content in the Atmosphere of St. Petersburg According to Numerical Modeling and Observations G. Nerobelov et al.
- Comparison of СO<sub>2</sub> Content in the Atmosphere of St. Petersburg According to Numerical Modelling and Observations G. Nerobelov et al.
- Optimizing CO2 Concentrations and Emissions Based on the WRF-Chem Model Integrated with the 3DVAR and EAKF Methods W. Liu et al.
Saved (final revised paper)
Latest update: 11 May 2026
Short summary
A regional atmospheric transport model is used to analyze the factors contributing to CO2, CH4, and CO observations at Réunion Island. We show that the surface observations are dominated by local fluxes and dynamical processes, while the column data are influenced by larger-scale mechanisms such as biomass burning plumes. The model is able to capture the measured time series well; however, the results are highly dependent on accurate boundary conditions and high-resolution emission inventories.
A regional atmospheric transport model is used to analyze the factors contributing to CO2, CH4,...
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