Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5443-2019
© 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/amt-12-5443-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Oct 2019
Research article |
| 15 Oct 2019
| 15 Oct 2019
Improving the TROPOMI CO data product: update of the spectroscopic database and destriping of single orbits
Netherlands Institute for Space Research, SRON, Utrecht, the Netherlands
Joost aan de Brugh
Netherlands Institute for Space Research, SRON, Utrecht, the Netherlands
Andreas Schneider
Netherlands Institute for Space Research, SRON, Utrecht, the Netherlands
Alba Lorente
Netherlands Institute for Space Research, SRON, Utrecht, the Netherlands
Manfred Birk
Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, Germany
Georg Wagner
Remote Sensing Technology Institute, DLR, Oberpfaffenhofen, Germany
Rigel Kivi
Finnish Meteorological Institute, FMI, Sodankylä, Finland
Frank Hase
Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, Karlsruhe, Germany
Dietrich G. Feist
Lehrstuhl für Physik der Atmosphäre, Ludwig-Maximilians-Universität München, Munich, Germany
Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany
Max Planck Institute for Biogeochemistry, Jena, Germany
Ralf Sussmann
Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
Markus Rettinger
Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
Debra Wunch
Department of Physics, University of Toronto, 60 St. George Street, Toronto, ON M5S1A7, Canada
Thorsten Warneke
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Jochen Landgraf
Netherlands Institute for Space Research, SRON, Utrecht, the Netherlands
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- Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
- Monitoring Greenhouse Gases from Space H. Boesch et al. 10.3390/rs13142700
- Carbon Monoxide in Optically Thick Wildfire Smoke: Evaluating TROPOMI Using CU Airborne SOF Column Observations J. Rowe et al. 10.1021/acsearthspacechem.2c00048
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- Quantitative imaging of carbon dioxide plumes using a ground-based shortwave infrared spectral camera M. Knapp et al. 10.5194/amt-17-2257-2024
- Intercomparison of CO measurements from TROPOMI, ACE-FTS, and a high-Arctic ground-based Fourier transform spectrometer T. Wizenberg et al. 10.5194/amt-14-7707-2021
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- Urban-scale variational flux inversion for CO Using TROPOMI total-column retrievals: A case study of Tehran N. Shahrokhi et al. 10.1016/j.atmosenv.2023.120009
- Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from SCIAMACHY P. Hochstaffl & F. Schreier 10.3390/rs12071084
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- Methane retrieval from MethaneAIR using the CO2 proxy approach: a demonstration for the upcoming MethaneSAT mission C. Chan Miller et al. 10.5194/amt-17-5429-2024
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
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- Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires C. Stockwell et al. 10.1021/acs.est.1c07121
- Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland T. Karppinen et al. 10.1016/j.rsase.2023.101120
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- Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm O. Schneising et al. 10.5194/amt-16-669-2023
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Latest update: 04 Nov 2024
Short summary
The study presents possible improvements of the TROPOMI CO dataset, which is a primary product of ESA's Sentinel-5P mission. We discuss the use of different molecular spectroscopic databases in the CO retrieval, the induced biases between TROPOMI CO and TCCON validation measurements, and the latitudinally dependent bias between TROPOMI CO and the CAMS-IFS model. Additionally, two methods for the stripe correction of single TROPOMI CO orbits are presented.
The study presents possible improvements of the TROPOMI CO dataset, which is a primary product...
