Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3039-2023
© 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-16-3039-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jun 2023
Research article |
| 19 Jun 2023
| 19 Jun 2023
Satellite-based, top-down approach for the adjustment of aerosol precursor emissions over East Asia: the TROPOspheric Monitoring Instrument (TROPOMI) NO2 product and the Geostationary Environment Monitoring Spectrometer (GEMS) aerosol optical depth (AOD) data fusion product and its proxy
Jincheol Park
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
Jia Jung
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA, USA
Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
Hyunkwang Lim
National Institute for Environmental Studies, Tsukuba, Japan
Minseok Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Kyunghwa Lee
Environmental Satellite Center, Climate and Air Quality Research Department, National Institute of Environmental Research (NIER), Incheon, South Korea
Yun Gon Lee
Atmospheric Sciences, Department of Astronomy, Space Science, and Geology, Chungnam National University, Daejeon, South Korea
Jhoon Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Particulate Matter Research Institute, Samsung Advanced Institute of Technology, Suwon, South Korea
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Cited
15 citations as recorded by crossref.
- Jacobian-regularized emulator for NOx emissions over the contiguous United States S. Kayastha et al. https://doi.org/10.1016/j.atmosenv.2026.122227
- TransNet: a transport-informed graph neural network for forecasting PM2.5 concentrations across South Korea R. Dimri et al. https://doi.org/10.1038/s44407-026-00052-x
- 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
- Local and transboundary contributions to NOy loadings across East Asia using CMAQ-ISAM and a GEMS-informed emission inventory during the winter–spring transition J. Park et al. https://doi.org/10.5194/acp-25-4291-2025
- Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+ S. Shams et al. https://doi.org/10.1016/j.scitotenv.2024.174158
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- Wildfire-induced suppression of anthropogenic sulfate formation in downwind regions of Northeast Asia D. Kim et al. https://doi.org/10.1016/j.envpol.2026.128872
- Detectability of the potential climate change effect on transboundary air pollution pathways in the downwind area of China Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2024.173490
- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. https://doi.org/10.1016/j.atmosenv.2024.120601
- 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. https://doi.org/10.1038/s41598-024-76223-1
- An Integrated Framework for MOSAIC-AQNEA Emission Inventory Development in Northeast Asia M. Park et al. https://doi.org/10.1007/s13143-026-00434-x
- Do GEMS geostationary satellite observations of tropospheric NO2 always improve NOx emission estimates and related air quality modelling? F. Yao et al. https://doi.org/10.5194/acp-26-12049-2026
- Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea D. Singh et al. https://doi.org/10.1016/j.atmosres.2024.107283
- Impacts of uncertainties in Chinese NH3 emissions on PM2.5 concentrations over mainland China and downwind regions H. Choe et al. https://doi.org/10.1016/j.envpol.2025.127159
- Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
15 citations as recorded by crossref.
- Jacobian-regularized emulator for NOx emissions over the contiguous United States S. Kayastha et al. https://doi.org/10.1016/j.atmosenv.2026.122227
- TransNet: a transport-informed graph neural network for forecasting PM2.5 concentrations across South Korea R. Dimri et al. https://doi.org/10.1038/s44407-026-00052-x
- 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
- Local and transboundary contributions to NOy loadings across East Asia using CMAQ-ISAM and a GEMS-informed emission inventory during the winter–spring transition J. Park et al. https://doi.org/10.5194/acp-25-4291-2025
- Innovative approaches for accurate ozone prediction and health risk analysis in South Korea: The combined effectiveness of deep learning and AirQ+ S. Shams et al. https://doi.org/10.1016/j.scitotenv.2024.174158
- Multi-Source Remote Sensing-Constrained Evaluation of CMAQ Aerosol Optical Depth over Major Urban Clusters in China Z. Peng et al. https://doi.org/10.3390/rs18081134
- Wildfire-induced suppression of anthropogenic sulfate formation in downwind regions of Northeast Asia D. Kim et al. https://doi.org/10.1016/j.envpol.2026.128872
- Detectability of the potential climate change effect on transboundary air pollution pathways in the downwind area of China Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2024.173490
- On the added value of satellite AOD for the investigation of ground-level PM2.5 variability J. Handschuh et al. https://doi.org/10.1016/j.atmosenv.2024.120601
- 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. https://doi.org/10.1038/s41598-024-76223-1
- An Integrated Framework for MOSAIC-AQNEA Emission Inventory Development in Northeast Asia M. Park et al. https://doi.org/10.1007/s13143-026-00434-x
- Do GEMS geostationary satellite observations of tropospheric NO2 always improve NOx emission estimates and related air quality modelling? F. Yao et al. https://doi.org/10.5194/acp-26-12049-2026
- Deep-BCSI: A deep learning-based framework for bias correction and spatial imputation of PM2.5 concentrations in South Korea D. Singh et al. https://doi.org/10.1016/j.atmosres.2024.107283
- Impacts of uncertainties in Chinese NH3 emissions on PM2.5 concentrations over mainland China and downwind regions H. Choe et al. https://doi.org/10.1016/j.envpol.2025.127159
- Improved determination of atmospheric trace gas emissions through observation-based analysis techniques: The AMIGO global initiative G. Oomen et al. https://doi.org/10.1525/elementa.2025.00092
Saved (final revised paper)
Latest update: 03 Sep 2026
Short summary
In response to the recent release of new geostationary platform-derived observational data generated by the Geostationary Environment Monitoring Spectrometer (GEMS) and its sister instruments, this study utilized the GEMS data fusion product and its proxy data in adjusting aerosol precursor emissions over East Asia. The use of spatiotemporally more complete observation references in updating the emissions resulted in more promising model performances in estimating aerosol loadings in East Asia.
In response to the recent release of new geostationary platform-derived observational data...
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