Articles | Volume 16, issue 4
https://doi.org/10.5194/acp-16-1987-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-1987-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Feb 2016
Research article |
| 23 Feb 2016
Utilization of O4 slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study
Sang Seo Park
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
now at: Research Institute for Applied Mechanics, Kyushu University,
Fukuoka, Japan
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Hanlim Lee
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Department of Spatial Information Engineering, Pukyong National
University, Busan, South Korea
Omar Torres
NASA Goddard Space Flight Center, Greenbelt, Maryland, USA
Kwang-Mog Lee
Department of Astronomy and Atmospheric Sciences, Kyungpook National
University, Daegu, South Korea
Sang Deok Lee
National Institute of Environment Research, Ministry of Environment,
Incheon, South Korea
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Cited
21 citations as recorded by crossref.
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. https://doi.org/10.1080/01431161.2021.1890267
- A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval H. Chong et al. https://doi.org/10.1109/TGRS.2024.3369056
- Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument W. Choi et al. https://doi.org/10.1016/j.rse.2019.05.001
- Sensitivity of formaldehyde (HCHO) column measurements from a geostationary satellite to temporal variation of the air mass factor in East Asia H. Kwon et al. https://doi.org/10.5194/acp-17-4673-2017
- Accurate and Full-Coverage Retrieval of Total Column Water Vapor From Chinese UV-VIS Satellites Using an Interpretable Machine Learning Approach R. Zhao et al. https://doi.org/10.1109/TGRS.2025.3579262
- Version 2 of hourly aerosol optical centroid height (AOCH) data product from EPIC/DSCOVR in deep space Z. Lu et al. https://doi.org/10.1016/j.rse.2026.115623
- Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia S. Park et al. https://doi.org/10.1016/j.atmosenv.2023.119916
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O2 − O2 spectral band using a neural network approach J. Chimot et al. https://doi.org/10.5194/amt-10-783-2017
- Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. https://doi.org/10.5194/amt-11-2257-2018
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. https://doi.org/10.5194/amt-13-3043-2020
- Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. https://doi.org/10.5194/amt-12-491-2019
- Effect of temperature-dependent cross sections on O4 slant column density estimation by a space-borne UV–visible hyperspectral sensor S. Park et al. https://doi.org/10.1016/j.atmosenv.2016.12.020
- Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. https://doi.org/10.3390/rs10020162
- Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia M. Kim et al. https://doi.org/10.5194/amt-16-2673-2023
- Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
- First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. https://doi.org/10.1109/TGRS.2020.3044050
- Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI H. Kim et al. https://doi.org/10.5194/amt-18-327-2025
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. https://doi.org/10.3389/fenvs.2021.770662
- Generation of Hypothetical Radiances for Missing Green and Red Bands in Geostationary Environment Monitoring Spectrometer H. Ryu et al. https://doi.org/10.1109/JSTARS.2023.3280905
- Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) S. Park et al. https://doi.org/10.5194/amt-18-2241-2025
- Error characterization and analysis of aerosol products from the geostationary environment monitoring spectrometer (GEMS) G. Du et al. https://doi.org/10.1016/j.atmosres.2025.108682
21 citations as recorded by crossref.
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. https://doi.org/10.1080/01431161.2021.1890267
- A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval H. Chong et al. https://doi.org/10.1109/TGRS.2024.3369056
- Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument W. Choi et al. https://doi.org/10.1016/j.rse.2019.05.001
- Sensitivity of formaldehyde (HCHO) column measurements from a geostationary satellite to temporal variation of the air mass factor in East Asia H. Kwon et al. https://doi.org/10.5194/acp-17-4673-2017
- Accurate and Full-Coverage Retrieval of Total Column Water Vapor From Chinese UV-VIS Satellites Using an Interpretable Machine Learning Approach R. Zhao et al. https://doi.org/10.1109/TGRS.2025.3579262
- Version 2 of hourly aerosol optical centroid height (AOCH) data product from EPIC/DSCOVR in deep space Z. Lu et al. https://doi.org/10.1016/j.rse.2026.115623
- Temporal variation of surface reflectance and cloud fraction used to identify background aerosol retrieval information over East Asia S. Park et al. https://doi.org/10.1016/j.atmosenv.2023.119916
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O2 − O2 spectral band using a neural network approach J. Chimot et al. https://doi.org/10.5194/amt-10-783-2017
- Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. https://doi.org/10.5194/amt-11-2257-2018
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. https://doi.org/10.5194/amt-13-3043-2020
- Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. https://doi.org/10.5194/amt-12-491-2019
- Effect of temperature-dependent cross sections on O4 slant column density estimation by a space-borne UV–visible hyperspectral sensor S. Park et al. https://doi.org/10.1016/j.atmosenv.2016.12.020
- Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia M. Kim et al. https://doi.org/10.3390/rs10020162
- Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia M. Kim et al. https://doi.org/10.5194/amt-16-2673-2023
- Satellite data to support air quality assessment and management T. Holloway et al. https://doi.org/10.1080/10962247.2025.2484153
- First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. https://doi.org/10.1109/TGRS.2020.3044050
- Aerosol layer height (ALH) retrievals from oxygen absorption bands: intercomparison and validation among different satellite platforms, GEMS, EPIC, and TROPOMI H. Kim et al. https://doi.org/10.5194/amt-18-327-2025
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. https://doi.org/10.3389/fenvs.2021.770662
- Generation of Hypothetical Radiances for Missing Green and Red Bands in Geostationary Environment Monitoring Spectrometer H. Ryu et al. https://doi.org/10.1109/JSTARS.2023.3280905
- Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) S. Park et al. https://doi.org/10.5194/amt-18-2241-2025
- Error characterization and analysis of aerosol products from the geostationary environment monitoring spectrometer (GEMS) G. Du et al. https://doi.org/10.1016/j.atmosres.2025.108682
Saved (final revised paper)
Latest update: 02 Nov 2026
Short summary
The sensitivities of oxygen-dimer (O4) slant column densities (SCDs) to changes in aerosol layer height are investigated using simulated radiances by a linearized pseudo-spherical vector discrete ordinate radiative transfer (VLIDORT) model, and the differential optical absorption spectroscopy (DOAS) technique. A new algorithm is developed and tested to derive the aerosol effective height for cases over East Asia using radiance data from the Ozone Monitoring Instrument (OMI).
The sensitivities of oxygen-dimer (O4) slant column densities (SCDs) to changes in aerosol layer...
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