Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-14617-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-14617-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2020
Research article |
| 01 Dec 2020
| 01 Dec 2020
Correcting model biases of CO in East Asia: impact on oxidant distributions during KORUS-AQ
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Louisa K. Emmons
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Kevin Raeder
Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Simone Tilmes
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Kazuyuki Miyazaki
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Avelino F. Arellano Jr.
Dept. of Hydrology and Atmospheric Sciences, University of Arizona,
Tucson, AZ, USA
Nellie Elguindi
Laboratoire d'Aérologie, CNRS, Université de Toulouse, Toulouse, France
Claire Granier
Laboratoire d'Aérologie, CNRS, Université de Toulouse, Toulouse, France
NOAA Chemical Sciences Laboratory-CIRES/University of Colorado,
Boulder, CO, USA
Wenfu Tang
Advanced Study Program, National Center for Atmospheric Research,
Boulder, CO, USA
Jérôme Barré
European Centre for Medium-Range Weather Forecasts, Shinfield Park,
Reading, RG2 9AX, UK
Helen M. Worden
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Rebecca R. Buchholz
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
David P. Edwards
Atmospheric Chemistry Observations and Modeling, National Center for Atmospheric Research, Boulder, CO, USA
Philipp Franke
Forschungszentrum Jülich GmbH, Institut für Energie und
Klimaforschung IEK-8, 52425 Jülich, Germany
Jeffrey L. Anderson
Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Marielle Saunois
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL
(CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Jason Schroeder
California Air Resources Board, Sacramento, CA, USA
Jung-Hun Woo
Department of Advanced Technology Fusion, Konkuk University, Seoul,
South Korea
Isobel J. Simpson
Department of Chemistry, University of California, Irvine, Irvine, CA
92697, USA
Donald R. Blake
Department of Chemistry, University of California, Irvine, Irvine, CA
92697, USA
Simone Meinardi
Department of Chemistry, University of California, Irvine, Irvine, CA
92697, USA
Paul O. Wennberg
California Institute of Technology, Pasadena, CA, USA
John Crounse
California Institute of Technology, Pasadena, CA, USA
Alex Teng
California Institute of Technology, Pasadena, CA, USA
Michelle Kim
California Institute of Technology, Pasadena, CA, USA
Russell R. Dickerson
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, MD, USA
Earth System Science Interdisciplinary Center, University of
Maryland, College Park, MD, USA
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, MD, USA
Earth System Science Interdisciplinary Center, University of
Maryland, College Park, MD, USA
Xinrong Ren
Department of Atmospheric and Oceanic Science, University of
Maryland, College Park, MD, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD, USA
Sally E. Pusede
Department of Environmental Sciences, University of Virginia,
Charlottesville, VA, USA
Glenn S. Diskin
NASA Langley Research Center, Hampton, VA, USA
Viewed
Total article views: 4,580 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,293 | 1,224 | 63 | 4,580 | 340 | 65 | 69 |
- HTML: 3,293
- PDF: 1,224
- XML: 63
- Total: 4,580
- Supplement: 340
- BibTeX: 65
- EndNote: 69
Total article views: 3,837 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Dec 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 3,122 | 666 | 49 | 3,837 | 219 | 53 | 56 |
- HTML: 3,122
- PDF: 666
- XML: 49
- Total: 3,837
- Supplement: 219
- BibTeX: 53
- EndNote: 56
Total article views: 743 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2020)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 171 | 558 | 14 | 743 | 121 | 12 | 13 |
- HTML: 171
- PDF: 558
- XML: 14
- Total: 743
- Supplement: 121
- BibTeX: 12
- EndNote: 13
Viewed (geographical distribution)
Total article views: 4,580 (including HTML, PDF, and XML)
Thereof 4,580 with geography defined
and 0 with unknown origin.
Total article views: 3,837 (including HTML, PDF, and XML)
Thereof 3,837 with geography defined
and 0 with unknown origin.
Total article views: 743 (including HTML, PDF, and XML)
Thereof 743 with geography defined
and 0 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
48 citations as recorded by crossref.
- Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space L. Yang et al. 10.5194/acp-23-2465-2023
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- Impact of improved representation of volatile organic compound emissions and production of NOx reservoirs on modeled urban ozone production K. Travis et al. 10.5194/acp-24-9555-2024
- Ozone Anomalies in the Free Troposphere During the COVID‐19 Pandemic I. Bouarar et al. 10.1029/2021GL094204
- The MOPITT Version 9 CO product: sampling enhancements and validation M. Deeter et al. 10.5194/amt-15-2325-2022
- Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration C. Tsai et al. 10.1016/j.aeaoa.2025.100325
- Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Preindustrial-to-present-day changes in atmospheric carbon monoxide: agreement and gaps between ice archives and global model reconstructions X. Faïn et al. 10.5194/acp-25-1105-2025
- Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
- Process-based and observation-constrained SOA simulations in China: the role of semivolatile and intermediate-volatility organic compounds and OH levels R. Miao et al. 10.5194/acp-21-16183-2021
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- The atmospheric oxidizing capacity in China – Part 1: Roles of different photochemical processes J. Dai et al. 10.5194/acp-23-14127-2023
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- Why is ozone in South Korea and the Seoul metropolitan area so high and increasing? N. Colombi et al. 10.5194/acp-23-4031-2023
- The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- A better representation of volatile organic compound chemistry in WRF-Chem and its impact on ozone over Los Angeles Q. Zhu et al. 10.5194/acp-24-5265-2024
- Discrepancy in assimilated atmospheric CO over East Asia in 2015–2020 by assimilating satellite and surface CO measurements Z. Tang et al. 10.5194/acp-22-7815-2022
- Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) H. Lin et al. 10.5194/acp-24-8607-2024
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations H. Worden et al. 10.5194/amt-15-5383-2022
- Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method Y. Wang et al. 10.1016/j.isprsjprs.2022.10.012
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
- Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations A. Wagner et al. 10.1525/elementa.2020.00171
- Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products W. Tang et al. 10.5194/amt-17-1941-2024
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
- Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1) Y. Liu et al. 10.5194/acp-21-8003-2021
- Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea E. Kim et al. 10.1016/j.scitotenv.2023.167818
- Global Changes in Secondary Atmospheric Pollutants During the 2020 COVID‐19 Pandemic B. Gaubert et al. 10.1029/2020JD034213
- Measurement report: Aircraft observations of ozone, nitrogen oxides, and volatile organic compounds over Hebei Province, China S. Benish et al. 10.5194/acp-20-14523-2020
- Comparison of Urban Air Quality Simulations During the KORUS‐AQ Campaign With Regionally Refined Versus Global Uniform Grids in the Multi‐Scale Infrastructure for Chemistry and Aerosols (MUSICA) Version 0 D. Jo et al. 10.1029/2022MS003458
- Tropical upper-tropospheric trends in ozone and carbon monoxide (2005–2020): observational and model results L. Froidevaux et al. 10.5194/acp-25-597-2025
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Sensitivity of the WRF-Chem v4.4 simulations of ozone and formaldehyde and their precursors to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign K. Kim et al. 10.5194/gmd-17-1931-2024
- Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- A new methodology for inferring surface ozone from multispectral satellite measurements N. Colombi et al. 10.1088/1748-9326/ac243d
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations H. Wang et al. 10.5194/acp-22-13753-2022
- Continental-scale Atmospheric Impacts of the 2020 Western U.S. Wildfires I. Albores et al. 10.1016/j.atmosenv.2022.119436
- A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
- Air quality trends and regimes in South Korea inferred from 2015–2023 surface and satellite observations Y. Oak et al. 10.5194/acp-25-3233-2025
- Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea Y. Oak et al. 10.1029/2021MS002760
- Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign R. Park et al. 10.1525/elementa.2021.00139
46 citations as recorded by crossref.
- Tropospheric NO2 vertical profiles over South Korea and their relation to oxidant chemistry: implications for geostationary satellite retrievals and the observation of NO2 diurnal variation from space L. Yang et al. 10.5194/acp-23-2465-2023
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- Impact of improved representation of volatile organic compound emissions and production of NOx reservoirs on modeled urban ozone production K. Travis et al. 10.5194/acp-24-9555-2024
- Ozone Anomalies in the Free Troposphere During the COVID‐19 Pandemic I. Bouarar et al. 10.1029/2021GL094204
- The MOPITT Version 9 CO product: sampling enhancements and validation M. Deeter et al. 10.5194/amt-15-2325-2022
- Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration C. Tsai et al. 10.1016/j.aeaoa.2025.100325
- Changes in US background ozone associated with the 2011 turnaround in Chinese NOx emissions K. Miyazaki et al. 10.1088/2515-7620/ac619b
- CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data A. Fortems-Cheiney et al. 10.5194/acp-24-4635-2024
- Preindustrial-to-present-day changes in atmospheric carbon monoxide: agreement and gaps between ice archives and global model reconstructions X. Faïn et al. 10.5194/acp-25-1105-2025
- Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
- Process-based and observation-constrained SOA simulations in China: the role of semivolatile and intermediate-volatility organic compounds and OH levels R. Miao et al. 10.5194/acp-21-16183-2021
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
- The atmospheric oxidizing capacity in China – Part 1: Roles of different photochemical processes J. Dai et al. 10.5194/acp-23-14127-2023
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- Why is ozone in South Korea and the Seoul metropolitan area so high and increasing? N. Colombi et al. 10.5194/acp-23-4031-2023
- The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations V. Khade et al. 10.5194/gmd-14-2525-2021
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- A better representation of volatile organic compound chemistry in WRF-Chem and its impact on ozone over Los Angeles Q. Zhu et al. 10.5194/acp-24-5265-2024
- Discrepancy in assimilated atmospheric CO over East Asia in 2015–2020 by assimilating satellite and surface CO measurements Z. Tang et al. 10.5194/acp-22-7815-2022
- Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) H. Lin et al. 10.5194/acp-24-8607-2024
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations H. Worden et al. 10.5194/amt-15-5383-2022
- Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method Y. Wang et al. 10.1016/j.isprsjprs.2022.10.012
- Tropospheric ozone precursors: global and regional distributions, trends, and variability Y. Elshorbany et al. 10.5194/acp-24-12225-2024
- Comprehensive evaluation of the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis against independent observations A. Wagner et al. 10.1525/elementa.2020.00171
- Advantages of assimilating multispectral satellite retrievals of atmospheric composition: a demonstration using MOPITT carbon monoxide products W. Tang et al. 10.5194/amt-17-1941-2024
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
- Analysis of secondary organic aerosol simulation bias in the Community Earth System Model (CESM2.1) Y. Liu et al. 10.5194/acp-21-8003-2021
- Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea E. Kim et al. 10.1016/j.scitotenv.2023.167818
- Global Changes in Secondary Atmospheric Pollutants During the 2020 COVID‐19 Pandemic B. Gaubert et al. 10.1029/2020JD034213
- Measurement report: Aircraft observations of ozone, nitrogen oxides, and volatile organic compounds over Hebei Province, China S. Benish et al. 10.5194/acp-20-14523-2020
- Comparison of Urban Air Quality Simulations During the KORUS‐AQ Campaign With Regionally Refined Versus Global Uniform Grids in the Multi‐Scale Infrastructure for Chemistry and Aerosols (MUSICA) Version 0 D. Jo et al. 10.1029/2022MS003458
- Tropical upper-tropospheric trends in ozone and carbon monoxide (2005–2020): observational and model results L. Froidevaux et al. 10.5194/acp-25-597-2025
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- Sensitivity of the WRF-Chem v4.4 simulations of ozone and formaldehyde and their precursors to multiple bottom-up emission inventories over East Asia during the KORUS-AQ 2016 field campaign K. Kim et al. 10.5194/gmd-17-1931-2024
- Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. 10.5194/amt-14-4639-2021
- A new methodology for inferring surface ozone from multispectral satellite measurements N. Colombi et al. 10.1088/1748-9326/ac243d
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations H. Wang et al. 10.5194/acp-22-13753-2022
- Continental-scale Atmospheric Impacts of the 2020 Western U.S. Wildfires I. Albores et al. 10.1016/j.atmosenv.2022.119436
- A Coupled CH4, CO and CO2 Simulation for Improved Chemical Source Modeling B. Bukosa et al. 10.3390/atmos14050764
- Air quality trends and regimes in South Korea inferred from 2015–2023 surface and satellite observations Y. Oak et al. 10.5194/acp-25-3233-2025
Latest update: 23 Apr 2025
Short summary
This study investigates carbon monoxide pollution in East Asia during spring using a numerical model, satellite remote sensing, and aircraft measurements. We found an underestimation of emission sources. Correcting the emission bias can improve air quality forecasting of carbon monoxide and other species including ozone. Results also suggest that controlling VOC and CO emissions, in addition to widespread NOx controls, can improve ozone pollution over East Asia.
This study investigates carbon monoxide pollution in East Asia during spring using a numerical...
Altmetrics
Final-revised paper
Preprint