Articles | Volume 19, issue 19
https://doi.org/10.5194/acp-19-12811-2019
© Author(s) 2019. 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-19-12811-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2019
Research article |
| 14 Oct 2019
| 14 Oct 2019
Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses
Renske Timmermans
CORRESPONDING AUTHOR
TNO, Netherlands Organisation for Applied Research, Climate, Air
and Sustainability Division, 3508 TA Utrecht, the Netherlands
Arjo Segers
TNO, Netherlands Organisation for Applied Research, Climate, Air
and Sustainability Division, 3508 TA Utrecht, the Netherlands
Lyana Curier
TNO, Netherlands Organisation for Applied Research, Climate, Air
and Sustainability Division, 3508 TA Utrecht, the Netherlands
now at: CBS, Central Bureau of Statistics, 6412 EX Heerlen, the
Netherlands
Rachid Abida
CNRM-GAME, Météo-France/CNRS UMR 3589, Toulouse, France
Jean-Luc Attié
CNRM-GAME, Météo-France/CNRS UMR 3589, Toulouse, France
Université de Toulouse, Laboratoire d'Aérologie, CNRS UMR
5560, Toulouse, France
Laaziz El Amraoui
CNRM-GAME, Météo-France/CNRS UMR 3589, Toulouse, France
Henk Eskes
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, the Netherlands
Johan de Haan
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, the Netherlands
Jukka Kujanpää
Finnish Meteorological Institute (FMI), P.O. Box 503, 00101
Helsinki, Finland
William Lahoz
NILU – Norwegian Institute for Air Research, P.O. Box 100, 2027
Kjeller, Norway
deceased, 2 April 2019
Albert Oude Nijhuis
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, the Netherlands
now at: SkyEcho, 3013 AK Rotterdam, the Netherlands
Samuel Quesada-Ruiz
CNRM-GAME, Météo-France/CNRS UMR 3589, Toulouse, France
Philippe Ricaud
CNRM-GAME, Météo-France/CNRS UMR 3589, Toulouse, France
Pepijn Veefkind
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, the Netherlands
Martijn Schaap
TNO, Netherlands Organisation for Applied Research, Climate, Air
and Sustainability Division, 3508 TA Utrecht, the Netherlands
FUB – Free University Berlin, Institut für Meteorologie,
Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
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Cited
11 citations as recorded by crossref.
- An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge S. Lopez-Restrepo et al. 10.1007/s10596-021-10035-4
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
- Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina 10.3390/rs12213494
- Measurement report: MAX-DOAS measurements characterise Central London ozone pollution episodes during 2022 heatwaves R. Ryan et al. 10.5194/acp-23-7121-2023
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Monitoring of urban ecological environment including air quality using satellite imagery Y. Wang et al. 10.1371/journal.pone.0266759
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVID pandemic lockdown in Tamil Nadu, India K. Muniraj et al. 10.1080/03067319.2021.1902997
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. 10.3389/frsus.2022.910924
11 citations as recorded by crossref.
- An efficient ensemble Kalman Filter implementation via shrinkage covariance matrix estimation: exploiting prior knowledge S. Lopez-Restrepo et al. 10.1007/s10596-021-10035-4
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
- Measuring and Monitoring Urban Impacts on Climate Change from Space C. Milesi & G. Churkina 10.3390/rs12213494
- Measurement report: MAX-DOAS measurements characterise Central London ozone pollution episodes during 2022 heatwaves R. Ryan et al. 10.5194/acp-23-7121-2023
- Variable effects of spatial resolution on modeling of nitrogen oxides C. Li et al. 10.5194/acp-23-3031-2023
- Monitoring of urban ecological environment including air quality using satellite imagery Y. Wang et al. 10.1371/journal.pone.0266759
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
- Direct Retrieval of NO 2 Vertical Columns from UV-Vis (390-495 nm) Spectral Radiances Using a Neural Network C. Li et al. 10.34133/2022/9817134
- Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVID pandemic lockdown in Tamil Nadu, India K. Muniraj et al. 10.1080/03067319.2021.1902997
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. 10.3389/frsus.2022.910924
Latest update: 14 Dec 2024
Short summary
We present an evaluation of the added value of the Sentinel-4 and Sentinel-5P missions for air quality analyses of NO2. For this, synthetic observations for both missions are generated and combined with a chemistry transport model. While hourly Sentinel-4 NO2 observations over Europe benefit modelled NO2 analyses throughout the entire day, daily Sentinel-5P NO2 observations with global coverage show an impact up to 3–6 h after overpass. This supports the need for a combination of missions.
We present an evaluation of the added value of the Sentinel-4 and Sentinel-5P missions for air...
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