Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5383-2022
© Author(s) 2022. 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-15-5383-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Sep 2022
Research article |
| 22 Sep 2022
| 22 Sep 2022
TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations
Atmospheric Chemistry Observations and Modeling (ACOM), National
Center for Atmospheric Research (NCAR), Boulder, CO, USA
Gene L. Francis
Atmospheric Chemistry Observations and Modeling (ACOM), National
Center for Atmospheric Research (NCAR), Boulder, CO, USA
Susan S. Kulawik
BAER Institute, 625 2nd Street, Suite 209, Petaluma, CA, USA
Kevin W. Bowman
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
Karen Cady-Pereira
Atmospheric and Environmental Research Inc., Lexington, MA, USA
Dejian Fu
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
Jennifer D. Hegarty
Atmospheric and Environmental Research Inc., Lexington, MA, USA
Valentin Kantchev
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
Ming Luo
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
Vivienne H. Payne
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
John R. Worden
Jet Propulsion Laboratory/California Institute for Technology,
Pasadena, CA, USA
Róisín Commane
Dept. of Earth and Environmental Sciences, Lamont-Doherty Earth
Observatory, Columbia University, Palisades, NY, USA
Kathryn McKain
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
Global Monitoring Division (GMD), National Oceanic and Atmospheric
Administration, Boulder, CO, USA
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Cited
9 citations as recorded by crossref.
- A hybrid optimal estimation and machine learning approach to predict atmospheric composition F. Werner et al. https://doi.org/10.5194/amt-19-3095-2026
- TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. https://doi.org/10.5194/amt-17-2611-2024
- A Global, Multidecadal Carbon Monoxide (CO) Record from the Sounder AIRS/CrIS System T. Wang et al. https://doi.org/10.3390/rs18010005
- Comparison of the AIRS, IASI, and CrIS Infrared Sounders Using Simultaneous Nadir Overpasses: Novel Methods Applied to Data From 1 October 2019 to 1 October 2020 M. Loveless et al. https://doi.org/10.1029/2023EA002878
- Characterizing fire and fire atmospheric states from space using collocated hyperspectral infrared sounding and narrow-band imagery X. Zhou et al. https://doi.org/10.1016/j.rse.2024.114318
- An Assessment of TROPESS CrIS and TROPOMI CO Retrievals and Their Synergies for the 2020 Western U.S. Wildfires O. Neyra-Nazarrett et al. https://doi.org/10.3390/rs17111854
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al. https://doi.org/10.1038/s44407-025-00036-3
- Measurement report: Spatiotemporal variability of peroxy acyl nitrates (PANs) over Mexico City from TES and CrIS satellite measurements M. Shogrin et al. https://doi.org/10.5194/acp-23-2667-2023
- Space-based observations of tropospheric ethane map emissions from fossil fuel extraction J. Brewer et al. https://doi.org/10.1038/s41467-024-52247-z
9 citations as recorded by crossref.
- A hybrid optimal estimation and machine learning approach to predict atmospheric composition F. Werner et al. https://doi.org/10.5194/amt-19-3095-2026
- TROPESS-CrIS CO single-pixel vertical profiles: intercomparisons with MOPITT and model simulations for 2020 western US wildfires M. Luo et al. https://doi.org/10.5194/amt-17-2611-2024
- A Global, Multidecadal Carbon Monoxide (CO) Record from the Sounder AIRS/CrIS System T. Wang et al. https://doi.org/10.3390/rs18010005
- Comparison of the AIRS, IASI, and CrIS Infrared Sounders Using Simultaneous Nadir Overpasses: Novel Methods Applied to Data From 1 October 2019 to 1 October 2020 M. Loveless et al. https://doi.org/10.1029/2023EA002878
- Characterizing fire and fire atmospheric states from space using collocated hyperspectral infrared sounding and narrow-band imagery X. Zhou et al. https://doi.org/10.1016/j.rse.2024.114318
- An Assessment of TROPESS CrIS and TROPOMI CO Retrievals and Their Synergies for the 2020 Western U.S. Wildfires O. Neyra-Nazarrett et al. https://doi.org/10.3390/rs17111854
- Constraints on the modeled vertical distribution of smoke during the 2020 western US wildfires from satellite data M. Arnold et al. https://doi.org/10.1038/s44407-025-00036-3
- Measurement report: Spatiotemporal variability of peroxy acyl nitrates (PANs) over Mexico City from TES and CrIS satellite measurements M. Shogrin et al. https://doi.org/10.5194/acp-23-2667-2023
- Space-based observations of tropospheric ethane map emissions from fossil fuel extraction J. Brewer et al. https://doi.org/10.1038/s41467-024-52247-z
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
Satellite observations of global carbon monoxide (CO) are essential for understanding atmospheric chemistry and pollution sources. This paper describes a new data product using radiance measurements from the Cross-track Infrared Sounder (CrIS) instrument on the Suomi National Polar-orbiting Partnership (SNPP) satellite that provides vertical profiles of CO from single-field-of-view observations. We show how these satellite CO profiles compare to aircraft observations and evaluate their biases.
Satellite observations of global carbon monoxide (CO) are essential for understanding...
