Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14675-2017
© 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-17-14675-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Dec 2017
Research article |
| 11 Dec 2017
Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations
Iris N. Dekker
CORRESPONDING AUTHOR
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
Sander Houweling
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
currently at: Vrije Universiteit Amsterdam, Department of Earth Sciences, Amsterdam, the Netherlands
Ilse Aben
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Thomas Röckmann
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
Maarten Krol
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, the Netherlands
Department of Meteorology and Air Quality, Wageningen University and Research Centre, Wageningen, the Netherlands
Sara Martínez-Alonso
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Merritt N. Deeter
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Helen M. Worden
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
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Cited
19 citations as recorded by crossref.
- Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. 10.5194/acp-21-5393-2021
- Monitoring CO emissions of the metropolis Mexico City using TROPOMI CO observations T. Borsdorff et al. 10.5194/acp-20-15761-2020
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Study of the exceptional meteorological conditions, trace gases and particulate matter measured during the 2017 forest fire in Doñana Natural Park, Spain J. Adame et al. 10.1016/j.scitotenv.2018.07.181
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Satellite observations reveal extreme methane leakage from a natural gas well blowout S. Pandey et al. 10.1073/pnas.1908712116
- Quantifying CO emission rates of industrial point sources from Tropospheric Monitoring Instrument observations Y. Tian et al. 10.1088/1748-9326/ac3b1a
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
- Influence of the fertilizer type in the agronomic and energetic behaviour of the residues coming from oleander, cypress and quinoa S. Paniagua et al. 10.1016/j.fuel.2020.117711
- Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument T. Borsdorff et al. 10.5194/acp-19-3579-2019
- Two Decades of Satellite Observations of Carbon Monoxide Confirm the Increase in Northern Hemispheric Wildfires L. Yurganov & V. Rakitin 10.3390/atmos13091479
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. 10.1016/j.envpol.2020.115164
19 citations as recorded by crossref.
- Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. 10.5194/acp-21-5393-2021
- Monitoring CO emissions of the metropolis Mexico City using TROPOMI CO observations T. Borsdorff et al. 10.5194/acp-20-15761-2020
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Study of the exceptional meteorological conditions, trace gases and particulate matter measured during the 2017 forest fire in Doñana Natural Park, Spain J. Adame et al. 10.1016/j.scitotenv.2018.07.181
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Satellite observations reveal extreme methane leakage from a natural gas well blowout S. Pandey et al. 10.1073/pnas.1908712116
- Quantifying CO emission rates of industrial point sources from Tropospheric Monitoring Instrument observations Y. Tian et al. 10.1088/1748-9326/ac3b1a
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Estimating ground-level CO concentrations across China based on the national monitoring network and MOPITT: potentially overlooked CO hotspots in the Tibetan Plateau D. Liu et al. 10.5194/acp-19-12413-2019
- Influence of the fertilizer type in the agronomic and energetic behaviour of the residues coming from oleander, cypress and quinoa S. Paniagua et al. 10.1016/j.fuel.2020.117711
- Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument T. Borsdorff et al. 10.5194/acp-19-3579-2019
- Two Decades of Satellite Observations of Carbon Monoxide Confirm the Increase in Northern Hemispheric Wildfires L. Yurganov & V. Rakitin 10.3390/atmos13091479
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI) S. Lama et al. 10.5194/acp-20-10295-2020
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. 10.1016/j.envpol.2020.115164
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Short summary
This study estimates carbon monoxide emissions from the city of Madrid using MOPITT satellite data. There are two methods used and reviewed in this paper: a method that can only estimate a trend in the emission and a newly developed method that also includes model data from WRF to quantify the emissions. We find Madrid CO emissions to be lower by 48 % for 2002 and by 17 % for 2006 compared with the EdgarV4.2 emission inventory, but uncertainty (20 to 50 %) remains.
This study estimates carbon monoxide emissions from the city of Madrid using MOPITT satellite...
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