Articles | Volume 13, issue 9
https://doi.org/10.5194/amt-13-4841-2020
© Author(s) 2020. 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-13-4841-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Sep 2020
Research article |
| 14 Sep 2020
| 14 Sep 2020
1.5 years of TROPOMI CO measurements: comparisons to MOPITT and ATom
Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research(NCAR), Boulder, CO, USA
Merritt Deeter
Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research(NCAR), Boulder, CO, USA
Helen Worden
Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research(NCAR), Boulder, CO, USA
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Ilse Aben
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Róisin Commane
Lamont-Doherty Earth Observatory, Columbia University, NY, USA
Bruce Daube
School of Engineering and Applied Science and Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
Gene Francis
Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research(NCAR), Boulder, CO, USA
Maya George
LATMOS/IPSL, Sorbonne University, UVSQ, CNRS, Paris, France
Jochen Landgraf
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Debbie Mao
Atmospheric Chemistry Observations and Modeling (ACOM), National Center for Atmospheric Research(NCAR), Boulder, CO, USA
Kathryn McKain
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
Earth System Research Laboratory, Global Monitoring Division (GMD), National Oceanic and Atmospheric Administration, Boulder, CO, USA
Steven Wofsy
School of Engineering and Applied Science and Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
Viewed
Total article views: 5,691 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,603 | 994 | 94 | 5,691 | 392 | 97 | 100 |
- HTML: 4,603
- PDF: 994
- XML: 94
- Total: 5,691
- Supplement: 392
- BibTeX: 97
- EndNote: 100
Total article views: 4,943 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Sep 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,169 | 702 | 72 | 4,943 | 179 | 83 | 83 |
- HTML: 4,169
- PDF: 702
- XML: 72
- Total: 4,943
- Supplement: 179
- BibTeX: 83
- EndNote: 83
Total article views: 748 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 434 | 292 | 22 | 748 | 213 | 14 | 17 |
- HTML: 434
- PDF: 292
- XML: 22
- Total: 748
- Supplement: 213
- BibTeX: 14
- EndNote: 17
Viewed (geographical distribution)
Total article views: 5,691 (including HTML, PDF, and XML)
Thereof 5,187 with geography defined
and 504 with unknown origin.
Total article views: 4,943 (including HTML, PDF, and XML)
Thereof 4,540 with geography defined
and 403 with unknown origin.
Total article views: 748 (including HTML, PDF, and XML)
Thereof 647 with geography defined
and 101 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
23 citations as recorded by crossref.
- Within-City Variation in Ambient Carbon Monoxide Concentrations: Leveraging Low-Cost Monitors in a Spatiotemporal Modeling Framework J. Bi et al. 10.1289/EHP10889
- 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
- Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients D. Griffin et al. 10.5194/acp-24-10159-2024
- 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
- Impacts of MOPITT cloud detection revisions on observation frequency and mapping of highly polluted scenes M. Deeter et al. 10.1016/j.rse.2021.112516
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- 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
- TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. 10.5194/amt-13-6789-2020
- Improvement of the anthropogenic emission rate estimate in Ulaanbaatar, Mongolia, for 2020–21 winter H. Lee et al. 10.1016/j.envpol.2024.123870
- Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland T. Karppinen et al. 10.1016/j.rsase.2023.101120
- Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products W. Tang et al. 10.5194/amt-17-1941-2024
- Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US N. Parazoo et al. 10.1029/2021GB006956
- Regional sources of NH3, SO2 and CO in the Third Pole B. Sharma et al. 10.1016/j.envres.2024.118317
- Evaluation of MOPITT and TROPOMI carbon monoxide retrievals using AirCore in situ vertical profiles S. Martínez-Alonso et al. 10.5194/amt-15-4751-2022
- Spatial heterogeneity in global atmospheric CO during the COVID–19 lockdown: Implications for global and regional air quality policies M. Pathak et al. 10.1016/j.envpol.2023.122269
- The MOPITT Version 9 CO product: sampling enhancements and validation M. Deeter et al. 10.5194/amt-15-2325-2022
- Parameterizations of US wildfire and prescribed fire emission ratios and emission factors based on FIREX-AQ aircraft measurements G. Gkatzelis et al. 10.5194/acp-24-929-2024
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China B. Chen et al. 10.1016/j.atmosenv.2023.120021
- TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations H. Worden et al. 10.5194/amt-15-5383-2022
- Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India M. Pathakoti et al. 10.5194/acp-21-9047-2021
- Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
- 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
23 citations as recorded by crossref.
- Within-City Variation in Ambient Carbon Monoxide Concentrations: Leveraging Low-Cost Monitors in a Spatiotemporal Modeling Framework J. Bi et al. 10.1289/EHP10889
- 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
- Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients D. Griffin et al. 10.5194/acp-24-10159-2024
- 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
- Impacts of MOPITT cloud detection revisions on observation frequency and mapping of highly polluted scenes M. Deeter et al. 10.1016/j.rse.2021.112516
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- 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
- TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020 O. Torres et al. 10.5194/amt-13-6789-2020
- Improvement of the anthropogenic emission rate estimate in Ulaanbaatar, Mongolia, for 2020–21 winter H. Lee et al. 10.1016/j.envpol.2024.123870
- Satellite-based assessment of national carbon monoxide concentrations for air quality reporting in Finland T. Karppinen et al. 10.1016/j.rsase.2023.101120
- Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products W. Tang et al. 10.5194/amt-17-1941-2024
- Covariation of Airborne Biogenic Tracers (CO2, COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US N. Parazoo et al. 10.1029/2021GB006956
- Regional sources of NH3, SO2 and CO in the Third Pole B. Sharma et al. 10.1016/j.envres.2024.118317
- Evaluation of MOPITT and TROPOMI carbon monoxide retrievals using AirCore in situ vertical profiles S. Martínez-Alonso et al. 10.5194/amt-15-4751-2022
- Spatial heterogeneity in global atmospheric CO during the COVID–19 lockdown: Implications for global and regional air quality policies M. Pathak et al. 10.1016/j.envpol.2023.122269
- The MOPITT Version 9 CO product: sampling enhancements and validation M. Deeter et al. 10.5194/amt-15-2325-2022
- Parameterizations of US wildfire and prescribed fire emission ratios and emission factors based on FIREX-AQ aircraft measurements G. Gkatzelis et al. 10.5194/acp-24-929-2024
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- Exploring high-resolution near-surface CO concentrations based on Himawari-8 top-of-atmosphere radiation data: Assessing the distribution of city-level CO hotspots in China B. Chen et al. 10.1016/j.atmosenv.2023.120021
- TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations H. Worden et al. 10.5194/amt-15-5383-2022
- Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India M. Pathakoti et al. 10.5194/acp-21-9047-2021
- Comparison of TROPOMI NO2, CO, HCHO, and SO2 data against ground‐level measurements in close proximity to large anthropogenic emission sources in the example of Ukraine M. Savenets et al. 10.1002/met.2108
- 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
Latest update: 20 Nov 2024
Short summary
CO is of great importance in climate and air quality studies. To understand newly available TROPOMI data in the frame of the global CO record, we compared those to satellite (MOPITT) and airborne (ATom) CO datasets. The MOPITT dataset is the longest to date (2000–present) and is well-characterized. We used ATom to validate cloudy TROPOMI data over oceans and investigate TROPOMI's vertical sensitivity to CO. Our results show that TROPOMI CO data are in excellent agreement with the other datasets.
CO is of great importance in climate and air quality studies. To understand newly available...
