Articles | Volume 16, issue 4
https://doi.org/10.5194/amt-16-969-2023
© Author(s) 2023. 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-16-969-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Feb 2023
Research article |
| 23 Feb 2023
| 23 Feb 2023
The CHROMA cloud-top pressure retrieval algorithm for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite mission
Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Luca Lelli
Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany
Institute of Environmental Physics and Remote Sensing, University of Bremen, Bremen, Germany
Brian Cairns
NASA Goddard Institute for Space Studies, New York, NY, USA
Bastiaan van Diedenhoven
SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Amir Ibrahim
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Kirk D. Knobelspiesse
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sergey Korkin
Goddard Earth Sciences Technology and Research (GESTAR) II, University of Maryland, Baltimore County, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
P. Jeremy Werdell
NASA Goddard Space Flight Center, Greenbelt, MD, USA
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Cited
13 citations as recorded by crossref.
- Microwave and terahertz frequencies of O2 determined with saturated absorption spectroscopy near 763 nm Y. Cheng et al. https://doi.org/10.1063/5.0304720
- Line intensities and collisional broadening coefficients in the O2 1.06μm band H. Dong et al. https://doi.org/10.1016/j.jms.2026.112136
- A general algorithm to retrieve cloud top properties by incorporating spectral characteristics and lidar measurements C. Shi et al. https://doi.org/10.1016/j.jag.2025.104842
- Evaluation of cloud height, optical thickness, and phase retrievals from the CHROMA algorithm applied to Sentinel-3 OLCI data A. Sayer et al. https://doi.org/10.5194/amt-18-6681-2025
- The Ocean Color Instrument (OCI) on the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Mission: System Design and Prelaunch Radiometric Performance G. Meister et al. https://doi.org/10.1109/TGRS.2024.3383812
- Monitoring phycocyanin in global inland waters by remote sensing: Progress and future developments C. Fang et al. https://doi.org/10.1016/j.watres.2025.123176
- A practical guide to simulating continuum absorption in Earth’s atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2026.110007
- PACE (Plankton, Aerosol, Cloud, ocean Ecosystem): Preliminary analysis of the consistency of remote sensing reflectance product over aquatic systems R. Paulino et al. https://doi.org/10.1016/j.isprsjprs.2025.12.003
- Atmospheric Remote Sensing Based on Satellite Oxygen-Band Observations: A Review X. Wu et al. https://doi.org/10.3390/rs18162808
- TCSNet: A Thin-Cloud-Sensitive Network for Hyperspectral Remote Sensing Images via Spectral-Spatial Feature Fusion Y. Jia et al. https://doi.org/10.3390/rs18091326
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. https://doi.org/10.5194/amt-16-5953-2023
- A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2025.109345
- CloudAHSI: A Hyperspectral Dataset for Cloud Segmentation from GF-5 AHSI Y. Jia et al. https://doi.org/10.3390/rs18091269
13 citations as recorded by crossref.
- Microwave and terahertz frequencies of O2 determined with saturated absorption spectroscopy near 763 nm Y. Cheng et al. https://doi.org/10.1063/5.0304720
- Line intensities and collisional broadening coefficients in the O2 1.06μm band H. Dong et al. https://doi.org/10.1016/j.jms.2026.112136
- A general algorithm to retrieve cloud top properties by incorporating spectral characteristics and lidar measurements C. Shi et al. https://doi.org/10.1016/j.jag.2025.104842
- Evaluation of cloud height, optical thickness, and phase retrievals from the CHROMA algorithm applied to Sentinel-3 OLCI data A. Sayer et al. https://doi.org/10.5194/amt-18-6681-2025
- The Ocean Color Instrument (OCI) on the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) Mission: System Design and Prelaunch Radiometric Performance G. Meister et al. https://doi.org/10.1109/TGRS.2024.3383812
- Monitoring phycocyanin in global inland waters by remote sensing: Progress and future developments C. Fang et al. https://doi.org/10.1016/j.watres.2025.123176
- A practical guide to simulating continuum absorption in Earth’s atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2026.110007
- PACE (Plankton, Aerosol, Cloud, ocean Ecosystem): Preliminary analysis of the consistency of remote sensing reflectance product over aquatic systems R. Paulino et al. https://doi.org/10.1016/j.isprsjprs.2025.12.003
- Atmospheric Remote Sensing Based on Satellite Oxygen-Band Observations: A Review X. Wu et al. https://doi.org/10.3390/rs18162808
- TCSNet: A Thin-Cloud-Sensitive Network for Hyperspectral Remote Sensing Images via Spectral-Spatial Feature Fusion Y. Jia et al. https://doi.org/10.3390/rs18091326
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. https://doi.org/10.5194/amt-16-5953-2023
- A practical guide to coding line-by-line trace gas absorption in Earth's atmosphere S. Korkin et al. https://doi.org/10.1016/j.jqsrt.2025.109345
- CloudAHSI: A Hyperspectral Dataset for Cloud Segmentation from GF-5 AHSI Y. Jia et al. https://doi.org/10.3390/rs18091269
Saved (final revised paper)
Latest update: 10 Sep 2026
Short summary
This paper presents a method to estimate the height of the top of clouds above Earth's surface using satellite measurements. It is based on light absorption by oxygen in Earth's atmosphere, which darkens the signal that a satellite will see at certain wavelengths of light. Clouds "shield" the satellite from some of this darkening, dependent on cloud height (and other factors), because clouds scatter light at these wavelengths. The method will be applied to the future NASA PACE mission.
This paper presents a method to estimate the height of the top of clouds above Earth's surface...
