Articles | Volume 16, issue 16
https://doi.org/10.5194/amt-16-3959-2023
© 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-16-3959-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Aug 2023
Research article |
| 30 Aug 2023
| 30 Aug 2023
First-time comparison between NO2 vertical columns from Geostationary Environmental Monitoring Spectrometer (GEMS) and Pandora measurements
Serin Kim
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Daewon Kim
CORRESPONDING AUTHOR
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Hyunkee Hong
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Lim-Seok Chang
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Hanlim Lee
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Deok-Rae Kim
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Donghee Kim
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Jeong-Ah Yu
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Dongwon Lee
Environmental Satellite Center, National Institute of Environmental
Research, Incheon, Republic of Korea
Ukkyo Jeong
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Chang-Kuen Song
Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
Sang-Woo Kim
School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
Sang Seo Park
Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea
Jhoon Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Thomas F. Hanisco
Atmospheric Chemistry and Dynamics Lab, NASA Goddard Space Flight
Center, Greenbelt, MD, USA
Junsung Park
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Wonei Choi
Division of Earth Environmental System Science, Major of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea
Kwangyul Lee
Air Quality Research Division, Climate and Air Quality Research
Department, National Institute of Environmental Research, Incheon, Republic
of Korea
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Cited
13 citations as recorded by crossref.
- A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument Y. Oak et al. 10.5194/amt-17-5147-2024
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. 10.7780/kjrs.2024.40.5.2.5
- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. 10.1186/s13021-024-00273-1
- First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
- Estimation of ground-level NO2 and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model N. Ahmad et al. 10.5194/acp-24-9645-2024
- 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. 10.1016/j.atmosenv.2024.120408
- Sensitivity analysis of NO2 differential slant column density according to spatial resolution using GCAS data from the SIJAQ 2022 campaign S. Lee et al. 10.1016/j.atmosenv.2024.120723
- Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements K. Lange et al. 10.5194/amt-17-6315-2024
- Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia L. Yang et al. 10.5194/acp-24-7027-2024
- Study on the Consistency of Tropospheric NO2 Vertical Column Density in Seoul depending on the Pandora Measurement Methods G. Lee & Y. Choi 10.5572/KOSAE.2024.40.2.180
13 citations as recorded by crossref.
- A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument Y. Oak et al. 10.5194/amt-17-5147-2024
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. 10.7780/kjrs.2024.40.5.2.5
- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. 10.1186/s13021-024-00273-1
- First top-down diurnal adjustment to NOx emissions inventory in Asia informed by the Geostationary Environment Monitoring Spectrometer (GEMS) tropospheric NO2 columns J. Park et al. 10.1038/s41598-024-76223-1
- Quantifying the diurnal variation in atmospheric NO2 from Geostationary Environment Monitoring Spectrometer (GEMS) observations D. Edwards et al. 10.5194/acp-24-8943-2024
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm Y. Zhang et al. 10.5194/amt-16-4643-2023
- Estimation of ground-level NO2 and its spatiotemporal variations in China using GEMS measurements and a nested machine learning model N. Ahmad et al. 10.5194/acp-24-9645-2024
- 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. 10.1016/j.atmosenv.2024.120408
- Sensitivity analysis of NO2 differential slant column density according to spatial resolution using GCAS data from the SIJAQ 2022 campaign S. Lee et al. 10.1016/j.atmosenv.2024.120723
- Validation of GEMS tropospheric NO2 columns and their diurnal variation with ground-based DOAS measurements K. Lange et al. 10.5194/amt-17-6315-2024
- Interpreting Geostationary Environment Monitoring Spectrometer (GEMS) geostationary satellite observations of the diurnal variation in nitrogen dioxide (NO2) over East Asia L. Yang et al. 10.5194/acp-24-7027-2024
- Study on the Consistency of Tropospheric NO2 Vertical Column Density in Seoul depending on the Pandora Measurement Methods G. Lee & Y. Choi 10.5572/KOSAE.2024.40.2.180
Latest update: 22 Nov 2024
Short summary
A first evaluation of the Geostationary Environmental Monitoring Spectrometer (GEMS) NO2 was carried out via comparison with the NO2 data obtained from the ground-based Pandora direct-sun measurements at four sites in Seosan, Republic of Korea. Comparisons between GEMS NO2 and Pandora NO2 were performed according to GEMS cloud fraction. GEMS NO2 showed good agreement with that of Pandora NO2 under less cloudy conditions.
A first evaluation of the Geostationary Environmental Monitoring Spectrometer (GEMS) NO2 was...
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