Articles | Volume 19, issue 4
https://doi.org/10.5194/acp-19-2149-2019
© Author(s) 2019. 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/acp-19-2149-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The measurement of atmospheric CO2 at KMA GAW regional stations, its characteristics, and comparisons with other East Asian sites
Environmental Meteorology Research Division, National Institute of
Meteorological Sciences, Jeju, 63568, Republic of Korea
Atmospheric Chemistry Laboratory, Hankuk University of Foreign Studies,
Gyeonggi-do, 17035, Republic of Korea
Sang-Ok Han
Environmental Meteorology Research Division, National Institute of
Meteorological Sciences, Jeju, 63568, Republic of Korea
Sang-Boom Ryoo
Environmental Meteorology Research Division, National Institute of
Meteorological Sciences, Jeju, 63568, Republic of Korea
Jeong-Soon Lee
Korea Research Institute of Standards and Science, Daejeon, 34113,
Republic of Korea
Gang-Woong Lee
Atmospheric Chemistry Laboratory, Hankuk University of Foreign Studies,
Gyeonggi-do, 17035, Republic of Korea
Viewed
Total article views: 3,200 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Sep 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,152 | 983 | 65 | 3,200 | 53 | 65 |
- HTML: 2,152
- PDF: 983
- XML: 65
- Total: 3,200
- BibTeX: 53
- EndNote: 65
Total article views: 2,464 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Feb 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,730 | 686 | 48 | 2,464 | 52 | 59 |
- HTML: 1,730
- PDF: 686
- XML: 48
- Total: 2,464
- BibTeX: 52
- EndNote: 59
Total article views: 736 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Sep 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
422 | 297 | 17 | 736 | 1 | 6 |
- HTML: 422
- PDF: 297
- XML: 17
- Total: 736
- BibTeX: 1
- EndNote: 6
Viewed (geographical distribution)
Total article views: 3,200 (including HTML, PDF, and XML)
Thereof 3,099 with geography defined
and 101 with unknown origin.
Total article views: 2,464 (including HTML, PDF, and XML)
Thereof 2,365 with geography defined
and 99 with unknown origin.
Total article views: 736 (including HTML, PDF, and XML)
Thereof 734 with geography defined
and 2 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
28 citations as recorded by crossref.
- Inter-comparison Experiment for Korea GAW Network to Improve the GHGs Measurement Quality S. Lee et al. 10.5572/KOSAE.2021.37.5.790
- Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling S. Takele Kenea et al. 10.1016/j.atmosenv.2024.120471
- Comparison of GC-μECD and OA-ICOS Methods for High-Precision Measurements of Atmospheric Nitrous Oxide (N2O) at a Korean GAW Station H. Lee et al. 10.3390/atmos11090948
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Latitudinal distribution and sources analysis of greenhouse gases and air pollutants observed during the 2021 Yellow Sea Air Quality campaign aboard a research vessel S. Li et al. 10.1016/j.atmosenv.2023.120201
- Long-term changes in CH4 emissions: Comparing ΔCH4/ΔCO2 ratios between observation and proved model in East Asia (2010–2020) S. Kenea et al. 10.1016/j.atmosenv.2022.119437
- Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. 10.5572/KOSAE.2022.38.6.933
- Anthropogenic carbon dioxide origin tracing study in Anmyeon-do, South Korea: Based on STILT-footprint and emissions data J. Kim et al. 10.1016/j.scitotenv.2023.164677
- Measurement report: Atmospheric CH4 at regional stations of the Korea Meteorological Administration–Global Atmosphere Watch Programme: measurement, characteristics, and long-term changes of its drivers H. Lee et al. 10.5194/acp-23-7141-2023
- East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
- Short-term reduction of regional enhancement of atmospheric CO2 in China during the first COVID-19 pandemic period S. Sim et al. 10.1088/1748-9326/ac507d
- Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints S. Kenea et al. 10.1007/s44273-023-00016-7
- Observations of atmospheric 14CO2 at Anmyeondo GAW station, South Korea: implications for fossil fuel CO2 and emission ratios H. Lee et al. 10.5194/acp-20-12033-2020
- Potential of AOD Retrieval Using Atmospheric Emitted Radiance Interferometer (AERI) J. Seo et al. 10.3390/rs14020407
- Changes of Atmospheric CO2 in the Tibetan Plateau From 1994 to 2019 S. Liu et al. 10.1029/2021JD035299
- Inter-comparison Activities of the WMO/GAW World Calibration Centre for SF6: A Strategy for the High Precision Atmospheric Measurements H. Lee et al. 10.5572/KOSAE.2021.37.3.512
- Analysis of CH4 Source Distributions Based on CH4-C2H6-CO Correlation from KMA Aircraft Regular Observation in 2019 and KORUS-AQ Campaign in 2016 over South Korea S. Li et al. 10.5572/KOSAE.2022.38.1.74
- Interannual Variability of Atmospheric CH4 and Its Driver Over South Korea Captured by Integrated Data in 2019 S. Kenea et al. 10.3390/rs13122266
- Monitoring and Forecasting XCO2 Using OCO-2 Satellite Data and Deep Learning K. Lee & K. Kim 10.5572/KOSAE.2024.40.5.572
- Development of a Portable and Sensitive CO2 Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact Z. Wu et al. 10.3390/su15021533
- Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. 10.1016/j.scitotenv.2024.175428
- Forward and Inverse Modelling of Atmospheric Nitrous Oxide Using MIROC4-Atmospheric Chemistry-Transport Model P. PATRA et al. 10.2151/jmsj.2022-018
- Analysis of source distribution of high carbon monoxide events using airborne and surface observations in Korea S. Li et al. 10.1016/j.atmosenv.2022.119316
- High‐resolution atmospheric CO2 concentration data simulated in WRF‐Chem over East Asia for 10 years M. Seo et al. 10.1002/gdj3.273
- Analysis of Aerosol Characteristics through Stereoscopic Observation of the West Sea during the 2019 YES-AQ Campaign M. Jeong et al. 10.5572/KOSAE.2022.38.6.823
- Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017 J. Yun et al. 10.1111/gcb.15061
- In Situ Aircraft Measurements of CO2 and CH4: Mapping Spatio-Temporal Variations over Western Korea in High-Resolutions S. Li et al. 10.3390/rs12183093
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part I: Carbon Dioxide (CO2) M. Kim et al. 10.5572/KOSAE.2024.40.3.349
28 citations as recorded by crossref.
- Inter-comparison Experiment for Korea GAW Network to Improve the GHGs Measurement Quality S. Lee et al. 10.5572/KOSAE.2021.37.5.790
- Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling S. Takele Kenea et al. 10.1016/j.atmosenv.2024.120471
- Comparison of GC-μECD and OA-ICOS Methods for High-Precision Measurements of Atmospheric Nitrous Oxide (N2O) at a Korean GAW Station H. Lee et al. 10.3390/atmos11090948
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Latitudinal distribution and sources analysis of greenhouse gases and air pollutants observed during the 2021 Yellow Sea Air Quality campaign aboard a research vessel S. Li et al. 10.1016/j.atmosenv.2023.120201
- Long-term changes in CH4 emissions: Comparing ΔCH4/ΔCO2 ratios between observation and proved model in East Asia (2010–2020) S. Kenea et al. 10.1016/j.atmosenv.2022.119437
- Consideration of Top-down Greenhouse Gas Estimation Approaches to Prepare Carbon Neutral Policy S. Joo et al. 10.5572/KOSAE.2022.38.6.933
- Anthropogenic carbon dioxide origin tracing study in Anmyeon-do, South Korea: Based on STILT-footprint and emissions data J. Kim et al. 10.1016/j.scitotenv.2023.164677
- Measurement report: Atmospheric CH4 at regional stations of the Korea Meteorological Administration–Global Atmosphere Watch Programme: measurement, characteristics, and long-term changes of its drivers H. Lee et al. 10.5194/acp-23-7141-2023
- East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
- Short-term reduction of regional enhancement of atmospheric CO2 in China during the first COVID-19 pandemic period S. Sim et al. 10.1088/1748-9326/ac507d
- Characteristics of STILT footprints driven by KIM model simulated meteorological fields: implication for developing near real-time footprints S. Kenea et al. 10.1007/s44273-023-00016-7
- Observations of atmospheric 14CO2 at Anmyeondo GAW station, South Korea: implications for fossil fuel CO2 and emission ratios H. Lee et al. 10.5194/acp-20-12033-2020
- Potential of AOD Retrieval Using Atmospheric Emitted Radiance Interferometer (AERI) J. Seo et al. 10.3390/rs14020407
- Changes of Atmospheric CO2 in the Tibetan Plateau From 1994 to 2019 S. Liu et al. 10.1029/2021JD035299
- Inter-comparison Activities of the WMO/GAW World Calibration Centre for SF6: A Strategy for the High Precision Atmospheric Measurements H. Lee et al. 10.5572/KOSAE.2021.37.3.512
- Analysis of CH4 Source Distributions Based on CH4-C2H6-CO Correlation from KMA Aircraft Regular Observation in 2019 and KORUS-AQ Campaign in 2016 over South Korea S. Li et al. 10.5572/KOSAE.2022.38.1.74
- Interannual Variability of Atmospheric CH4 and Its Driver Over South Korea Captured by Integrated Data in 2019 S. Kenea et al. 10.3390/rs13122266
- Monitoring and Forecasting XCO2 Using OCO-2 Satellite Data and Deep Learning K. Lee & K. Kim 10.5572/KOSAE.2024.40.5.572
- Development of a Portable and Sensitive CO2 Measurement Device with NDIR Sensor Clusters and Minimizing Water Vapor Impact Z. Wu et al. 10.3390/su15021533
- Spatial mapping of greenhouse gases using a UAV monitoring platform over a megacity in China T. Han et al. 10.1016/j.scitotenv.2024.175428
- Forward and Inverse Modelling of Atmospheric Nitrous Oxide Using MIROC4-Atmospheric Chemistry-Transport Model P. PATRA et al. 10.2151/jmsj.2022-018
- Analysis of source distribution of high carbon monoxide events using airborne and surface observations in Korea S. Li et al. 10.1016/j.atmosenv.2022.119316
- High‐resolution atmospheric CO2 concentration data simulated in WRF‐Chem over East Asia for 10 years M. Seo et al. 10.1002/gdj3.273
- Analysis of Aerosol Characteristics through Stereoscopic Observation of the West Sea during the 2019 YES-AQ Campaign M. Jeong et al. 10.5572/KOSAE.2022.38.6.823
- Enhanced regional terrestrial carbon uptake over Korea revealed by atmospheric CO2 measurements from 1999 to 2017 J. Yun et al. 10.1111/gcb.15061
- In Situ Aircraft Measurements of CO2 and CH4: Mapping Spatio-Temporal Variations over Western Korea in High-Resolutions S. Li et al. 10.3390/rs12183093
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part I: Carbon Dioxide (CO2) M. Kim et al. 10.5572/KOSAE.2024.40.3.349
Latest update: 25 Dec 2024
Short summary
We introduced our identical systems, which were installed at three S. Korea stations, using CRDS and a drying system. The measurement uncertainty was ~ 0.11 ppm across the stations. CO2 observed in the west of S. Korea was very sensitive to East Asia (e.g., China), indicating that data include CO2 flux information from East Asia. Through long-term comparison to other East Asian stations, it was suggested that they could be affected not only by local vegetation but also by measurement quality.
We introduced our identical systems, which were installed at three S. Korea stations, using CRDS...
Altmetrics
Final-revised paper
Preprint