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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34 citations as recorded by crossref.
- A Multimodel Investigation of Asian Summer Monsoon UTLS Transport Over the Western Pacific L. Pan et al. 10.1029/2022JD037511
- Technical note: Constraining the hydroxyl (OH) radical in the tropics with satellite observations of its drivers – first steps toward assessing the feasibility of a global observation strategy D. Anderson et al. 10.5194/acp-23-6319-2023
- Comparison of Total Column and Surface Mixing Ratio of Carbon Monoxide Derived from the TROPOMI/Sentinel-5 Precursor with In-Situ Measurements from Extensive Ground-Based Network over South Korea U. Jeong & H. Hong 10.3390/rs13193987
- Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. 10.5194/acp-23-2089-2023
- A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. 10.5194/amt-16-1121-2023
- A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases N. Balasus et al. 10.5194/amt-16-3787-2023
- Shipborne measurements of XCO<sub>2</sub>, XCH<sub>4</sub>, and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI M. Knapp et al. 10.5194/essd-13-199-2021
- 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
- Trans-boundary spatio-temporal analysis of Sentinel 5P tropospheric nitrogen dioxide and total carbon monoxide columns over Punjab and Haryana Regions with COVID-19 lockdown impact Y. Shabbir et al. 10.1007/s10661-024-12458-9
- Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients D. Griffin et al. 10.5194/acp-24-10159-2024
- 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
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Methane retrieved from TROPOMI: improvement of the data product and validation of the first 2 years of measurements A. Lorente et al. 10.5194/amt-14-665-2021
- 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
- Understanding the variations and sources of CO, C2H2, C2H6, H2CO, and HCN columns based on 3 years of new ground-based Fourier transform infrared measurements at Xianghe, China M. Zhou et al. 10.5194/amt-16-273-2023
- 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
- 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. 10.3390/rs16214022
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
- Research on the Seed Respiration CO2 Detection System Based on TDLAS Technology L. Gao et al. 10.1155/2023/8017726
- Towards a sector-specific CO∕CO2 emission ratio: satellite-based observations of CO release from steel production in Germany O. Schneising et al. 10.5194/acp-24-7609-2024
- Carbon emissions from the 2023 Canadian wildfires B. Byrne et al. 10.1038/s41586-024-07878-z
- Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stations M. Sha et al. 10.5194/amt-14-6249-2021
- The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis S. Wang et al. 10.3390/ijerph192417056
- 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
- Ground-Based Atmospheric CO2, CH4, and CO Column Measurements at Golmud in the Qinghai-Tibetan Plateau and Comparisons with TROPOMI/S5P Satellite Observations M. Zhou et al. 10.1007/s00376-022-2116-0
- 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
- Random Forest Classifier for Cloud Clearing of the Operational TROPOMI XCH4 Product T. Borsdorff et al. 10.3390/rs16071208
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI P. Hochstaffl et al. 10.3390/rs12213486
Latest update: 22 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...
