Articles | Volume 16, issue 22
https://doi.org/10.5194/amt-16-5461-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-16-5461-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2023
Research article |
| 14 Nov 2023
| 14 Nov 2023
Evaluation of total ozone measurements from Geostationary Environmental Monitoring Spectrometer (GEMS)
Kanghyun Baek
Department of Atmospheric Science, Pusan National University, Busan 46241, Republic of Korea
Department of Atmospheric Science, Pusan National University, Busan 46241, Republic of Korea
Juseon Bak
Institute of Environmental Studies, Pusan National University, Busan 46241, Republic of Korea
David P. Haffner
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Mina Kang
Department of Atmospheric Science and Engineering, Ewha Womans University, Seoul 20706, Republic of Korea
Hyunkee Hong
National Institute of Environmental Research, Incheon 22689, Republic of Korea
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Cited
20 citations as recorded by crossref.
- Surface Ozone Estimation over the Beijing–Tianjin–Hebei Region: A Case Study Using EMI-II Total Ozone Observations and Machine Learning Integration H. Cheng et al. https://doi.org/10.3390/rs18081187
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. https://doi.org/10.5194/amt-17-453-2024
- Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. https://doi.org/10.5194/amt-17-5601-2024
- Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach S. O et al. https://doi.org/10.5194/amt-18-1471-2025
- An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. https://doi.org/10.1109/JSTARS.2024.3408251
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al. https://doi.org/10.1080/20964471.2026.2654984
- Geometric Accuracy Analysis of Geostationary Environment Monitoring Spectrometer Images by Spatiotemporal and Spectral Collocation S. Choi et al. https://doi.org/10.1109/JSTARS.2026.3673604
- First global twice-daily ozone profiles from Chinese UV–vis satellites via synergistic spectral calibration and retrieval X. Wang et al. https://doi.org/10.1016/j.rse.2025.115106
- On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS) M. Kang et al. https://doi.org/10.1109/TGRS.2024.3510337
- Vertical profiles and chemical composition of NR-PM1 in Korea from airborne measurements J. Ban et al. https://doi.org/10.1016/j.atmosenv.2025.121628
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. https://doi.org/10.7780/kjrs.2024.40.5.2.5
- Evaluating Total Column Ozone from GK-2A/AMI and GK-2B/GEMS for Atmospheric Correction of GOCI-II E. Lee et al. https://doi.org/10.7780/kjrs.2025.41.6.4
- Remote Sensing of Atmospheric Ozone. 2. Satellite Methods Y. Timofeev et al. https://doi.org/10.3103/S1068373925080023
- Geostationary Environment Monitoring Spectrometer (GEMS): Long-Term Radiometric Accuracy and Spectral Stability From 4.5 Years of On-Orbit Solar Irradiance Observations J. Bak et al. https://doi.org/10.1109/TGRS.2025.3627802
- Satellite Investigations of the Atmospheric Gas Composition Y. Timofeev & G. Nerobelov https://doi.org/10.1134/S0001433824700658
- Ten years of tropospheric ozone from DSCOVR EPIC: science and applications J. Ziemke et al. https://doi.org/10.3389/frsen.2025.1634922
- Cross-Validation of GEMS Total Ozone from Ozone Profile and Total Column Products Using Pandora and Satellite Observations S. Hong et al. https://doi.org/10.3390/rs17183249
- A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations X. Chen et al. https://doi.org/10.1109/TGRS.2025.3548600
- Validation of geostationary environment monitoring spectrometer (GEMS), TROPOspheric Monitoring Instrument (TROPOMI), and Ozone Mapping and Profiler Suite Nadir Mapper (OMPS) using pandora measurements during GEMS Map of Air Pollution (GMAP) field campaign K. Baek et al. https://doi.org/10.1016/j.atmosenv.2024.120408
- Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. https://doi.org/10.5572/KOSAE.2025.41.2.254
20 citations as recorded by crossref.
- Surface Ozone Estimation over the Beijing–Tianjin–Hebei Region: A Case Study Using EMI-II Total Ozone Observations and Machine Learning Integration H. Cheng et al. https://doi.org/10.3390/rs18081187
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. https://doi.org/10.5194/amt-17-453-2024
- Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS) S. Sim et al. https://doi.org/10.5194/amt-17-5601-2024
- Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach S. O et al. https://doi.org/10.5194/amt-18-1471-2025
- An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data Y. Si et al. https://doi.org/10.1109/JSTARS.2024.3408251
- A new aerosol type identification algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) instrument F. Wang et al. https://doi.org/10.1080/20964471.2026.2654984
- Geometric Accuracy Analysis of Geostationary Environment Monitoring Spectrometer Images by Spatiotemporal and Spectral Collocation S. Choi et al. https://doi.org/10.1109/JSTARS.2026.3673604
- First global twice-daily ozone profiles from Chinese UV–vis satellites via synergistic spectral calibration and retrieval X. Wang et al. https://doi.org/10.1016/j.rse.2025.115106
- On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS) M. Kang et al. https://doi.org/10.1109/TGRS.2024.3510337
- Vertical profiles and chemical composition of NR-PM1 in Korea from airborne measurements J. Ban et al. https://doi.org/10.1016/j.atmosenv.2025.121628
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. https://doi.org/10.7780/kjrs.2024.40.5.2.5
- Evaluating Total Column Ozone from GK-2A/AMI and GK-2B/GEMS for Atmospheric Correction of GOCI-II E. Lee et al. https://doi.org/10.7780/kjrs.2025.41.6.4
- Remote Sensing of Atmospheric Ozone. 2. Satellite Methods Y. Timofeev et al. https://doi.org/10.3103/S1068373925080023
- Geostationary Environment Monitoring Spectrometer (GEMS): Long-Term Radiometric Accuracy and Spectral Stability From 4.5 Years of On-Orbit Solar Irradiance Observations J. Bak et al. https://doi.org/10.1109/TGRS.2025.3627802
- Satellite Investigations of the Atmospheric Gas Composition Y. Timofeev & G. Nerobelov https://doi.org/10.1134/S0001433824700658
- Ten years of tropospheric ozone from DSCOVR EPIC: science and applications J. Ziemke et al. https://doi.org/10.3389/frsen.2025.1634922
- Cross-Validation of GEMS Total Ozone from Ozone Profile and Total Column Products Using Pandora and Satellite Observations S. Hong et al. https://doi.org/10.3390/rs17183249
- A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations X. Chen et al. https://doi.org/10.1109/TGRS.2025.3548600
- Validation of geostationary environment monitoring spectrometer (GEMS), TROPOspheric Monitoring Instrument (TROPOMI), and Ozone Mapping and Profiler Suite Nadir Mapper (OMPS) using pandora measurements during GEMS Map of Air Pollution (GMAP) field campaign K. Baek et al. https://doi.org/10.1016/j.atmosenv.2024.120408
- Introduction of Ground-based Remote Sensing and Applications for Air Quality Monitoring S. Park et al. https://doi.org/10.5572/KOSAE.2025.41.2.254
Saved (final revised paper)
Latest update: 03 Jun 2026
Short summary
The GEMS mission was the first mission of the geostationary satellite constellation for hourly atmospheric composition monitoring. The GEMS ozone measurements were cross-compared to those of Pandora, OMPS, and TROPOMI satellite sensors and excellent agreement was found. GEMS has proven to be a powerful new instrument for monitoring and assessing the diurnal variation in atmospheric ozone. This experience can be used to advance research with future geostationary environmental satellite missions.
The GEMS mission was the first mission of the geostationary satellite constellation for hourly...
Special issue