Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7325-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-7325-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regional CO2 and CH4 inversion system using WRF-Chem (v4.4)/DART (v9.8.0) and continuous high-precision observations over the Korean Peninsula
Doyoon Kwon
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Bonhoon Koo
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Jooyeop Lee
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Jeongwon Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Jaehyung Ahn
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Department of Atmospheric Sciences, Yonsei University, Seoul, 03722, Republic of Korea
Eri Saikawa
Department of Environmental Sciences, Emory University, Atlanta, GA 30319, USA
Alexander Avramov
Department of Environmental Sciences, Emory University, Atlanta, GA 30319, USA
Changsub Shim
Korea Environment Institute, Sejong, 30147, Republic of Korea
Je-Woo Hong
Korea Environment Institute, Sejong, 30147, Republic of Korea
Daegeun Shin
National Institute of Meteorological Sciences, Jeju-do, 63568, Republic of Korea
Shanlan Li
National Institute of Meteorological Sciences, Jeju-do, 63568, Republic of Korea
Sumin Kim
National Institute of Meteorological Sciences, Jeju-do, 63568, Republic of Korea
Sangwon Joo
National Institute of Meteorological Sciences, Jeju-do, 63568, Republic of Korea
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Naki Yu, Hee-Jung Yoo, Sangmin Oh, Yongjoo Choi, Sunran Lee, Sumin Kim, and Saehee Lim
Atmos. Chem. Phys., 25, 15263–15280, https://doi.org/10.5194/acp-25-15263-2025, https://doi.org/10.5194/acp-25-15263-2025, 2025
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Black carbon (BC) is a short-lived climate pollutant that affects climate and cloud formation, but its physical properties are poorly represented in models. We used aircraft to measure BC, CO, and CO2 over the Yellow Sea across seasons. Our results show that BC changes in size and mixing state significantly depending on its origin and weather during transport, highlighting the need for better model representation of this pollutant.
Kyoung-Min Kim, Si-Wan Kim, Seunghwan Seo, Donald R. Blake, Seogju Cho, James H. Crawford, Louisa K. Emmons, Alan Fried, Jay R. Herman, Jinkyu Hong, Jinsang Jung, Gabriele G. Pfister, Andrew J. Weinheimer, Jung-Hun Woo, and Qiang Zhang
Geosci. Model Dev., 17, 1931–1955, https://doi.org/10.5194/gmd-17-1931-2024, https://doi.org/10.5194/gmd-17-1931-2024, 2024
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Three emission inventories were evaluated for East Asia using data acquired during a field campaign in 2016. The inventories successfully reproduced the daily variations of ozone and nitrogen dioxide. However, the spatial distributions of model ozone did not fully agree with the observations. Additionally, all simulations underestimated carbon monoxide and volatile organic compound (VOC) levels. Increasing VOC emissions over South Korea resulted in improved ozone simulations.
Haeyoung Lee, Wonick Seo, Shanlan Li, Soojeong Lee, Samuel Takele Kenea, and Sangwon Joo
Atmos. Chem. Phys., 23, 7141–7159, https://doi.org/10.5194/acp-23-7141-2023, https://doi.org/10.5194/acp-23-7141-2023, 2023
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We introduced three Korea Meteorological Administration (KMA) monitoring stations with monitoring systems and measurement uncertainty. We also analyzed the regional characteristics of CH4 at each KMA station. CH4 levels measured at KMA stations are compared to those measured at other Asian stations. From the long-term records of CH4 and δ13CH4 at AMY, we confirmed that the source of CH4xs changed from the past (2006 to 2010) to recent (2016 to 2020) years in East Asia.
Mathew Lipson, Sue Grimmond, Martin Best, Winston T. L. Chow, Andreas Christen, Nektarios Chrysoulakis, Andrew Coutts, Ben Crawford, Stevan Earl, Jonathan Evans, Krzysztof Fortuniak, Bert G. Heusinkveld, Je-Woo Hong, Jinkyu Hong, Leena Järvi, Sungsoo Jo, Yeon-Hee Kim, Simone Kotthaus, Keunmin Lee, Valéry Masson, Joseph P. McFadden, Oliver Michels, Wlodzimierz Pawlak, Matthias Roth, Hirofumi Sugawara, Nigel Tapper, Erik Velasco, and Helen Claire Ward
Earth Syst. Sci. Data, 14, 5157–5178, https://doi.org/10.5194/essd-14-5157-2022, https://doi.org/10.5194/essd-14-5157-2022, 2022
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We describe a new openly accessible collection of atmospheric observations from 20 cities around the world, capturing 50 site years. The observations capture local meteorology (temperature, humidity, wind, etc.) and the energy fluxes between the land and atmosphere (e.g. radiation and sensible and latent heat fluxes). These observations can be used to improve our understanding of urban climate processes and to test the accuracy of urban climate models.
Lim-Seok Chang, Donghee Kim, Hyunkee Hong, Deok-Rae Kim, Jeong-Ah Yu, Kwangyul Lee, Hanlim Lee, Daewon Kim, Jinkyu Hong, Hyun-Young Jo, and Cheol-Hee Kim
Atmos. Chem. Phys., 22, 10703–10720, https://doi.org/10.5194/acp-22-10703-2022, https://doi.org/10.5194/acp-22-10703-2022, 2022
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Our study explored the synergy of combined column and surface measurements during GMAP (GEMS Map of Air Pollution) campaign. It has several points to note for vertical distribution analysis. Particularly under prevailing local wind meteorological conditions, Pandora-based vertical structures sometimes showed negative correlations between column and surface measurements. Vertical analysis should be done carefully in some local meteorological conditions when employing either surface or columns.
Jooyeop Lee, Martin Claussen, Jeongwon Kim, Je-Woo Hong, In-Sun Song, and Jinkyu Hong
Clim. Past, 18, 313–326, https://doi.org/10.5194/cp-18-313-2022, https://doi.org/10.5194/cp-18-313-2022, 2022
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It is still a challenge to simulate the so–called Green Sahara (GS), which was a wet and vegetative Sahara region in the mid–Holocene, using current climate models. Our analysis shows that Holocene greening is simulated better if the amount of soil nitrogen and soil texture is properly modified for the humid and vegetative GS period. Future climate simulation needs to consider consequent changes in soil nitrogen and texture with changes in vegetation cover for proper climate simulations.
Chang-Hwan Park, Aaron Berg, Michael H. Cosh, Andreas Colliander, Andreas Behrendt, Hida Manns, Jinkyu Hong, Johan Lee, Runze Zhang, and Volker Wulfmeyer
Hydrol. Earth Syst. Sci., 25, 6407–6420, https://doi.org/10.5194/hess-25-6407-2021, https://doi.org/10.5194/hess-25-6407-2021, 2021
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In this study, we proposed an inversion of the dielectric mixing model for a 50 Hz soil sensor for agricultural organic soil. This model can reflect the variability of soil organic matter (SOM) in wilting point and porosity, which play a critical role in improving the accuracy of SM estimation, using a dielectric-based soil sensor. The results of statistical analyses demonstrated a higher performance of the new model than the factory setting probe algorithm.
Keunmin Lee, Je-Woo Hong, Jeongwon Kim, Sungsoo Jo, and Jinkyu Hong
Atmos. Chem. Phys., 21, 17833–17853, https://doi.org/10.5194/acp-21-17833-2021, https://doi.org/10.5194/acp-21-17833-2021, 2021
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This study examine two benefits of urban forest, thermal mitigation and carbon uptake. Our analysis indicates that the urban forest reduces both the warming trend and urban heat island intensity. Urban forest is a net CO2 source despite larger photosynthetic carbon uptake because of strong contribution of ecosystem respiration, which can be attributed to the substantial amount of soil organic carbon by intensive historical soil use and warm temperature in a city.
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Short summary
Carbon dioxide and methane drive climate change, but measuring each region's emissions is hard over complex terrain. We combined a detailed computer modeling system with continuous measurements over the Korean Peninsula to estimate both gases. The estimates matched air measurements and agreed with the national carbon dioxide inventory, while suggesting methane from farming and waste may be larger than currently reported. The approach is transferable for national and regional emission monitoring.
Carbon dioxide and methane drive climate change, but measuring each region's emissions is hard...