Articles | Volume 23, issue 6
https://doi.org/10.5194/acp-23-3731-2023
© Author(s) 2023. 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-23-3731-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Mar 2023
Research article |
| 28 Mar 2023
| 28 Mar 2023
Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations
School of Geographical Sciences, Fujian Normal University, Fuzhou
350007, China
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Guangdong Provincial Observation and Research Station for Coastal
Atmosphere and Climate of the Greater Bay Area, Shenzhen 518055, China
Juseon Bak
Institute of Environmental Studies, Pusan National University, Busan
46241, South Korea
Peter Zoogman
Harvard–Smithsonian Center for Astrophysics, Cambridge, MA 02138,
United States
School of Geographical Sciences, Fujian Normal University, Fuzhou
350007, China
Song Liu
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Xicheng Li
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Shuai Sun
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Yuyang Chen
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Dongchuan Pu
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Xiaoxing Zuo
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Weitao Fu
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Guangdong Provincial Observation and Research Station for Coastal
Atmosphere and Climate of the Greater Bay Area, Shenzhen 518055, China
Tzung-May Fu
School of Environmental Science and Engineering, Southern University
of Science and Technology, Shenzhen 518055, China
Guangdong Provincial Observation and Research Station for Coastal
Atmosphere and Climate of the Greater Bay Area, Shenzhen 518055, China
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Cited
7 citations as recorded by crossref.
- Evaluation of high‐resolution regional CO2 data assimilation–forecast system in East Asia using observing system simulation experiment and effect of observation network on simulated CO2 concentrations M. Seo & H. Kim
- Optimizing air quality forecasting with OSSE: Assessing the assimilation of aerosol species data via multi-resolution observation network design in the WRF-Chem and 3DVAR frameworks X. Chen et al.
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al.
- Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al.
- Multi-routine-data driven spatio-temporal short-term predictions for surface ozone in China C. Zheng et al.
- Water Spectra Reconstruction for Sentinel-2 MSI: From Multispectral to Hyperspectral S. Chen et al.
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al.
7 citations as recorded by crossref.
- Evaluation of high‐resolution regional CO2 data assimilation–forecast system in East Asia using observing system simulation experiment and effect of observation network on simulated CO2 concentrations M. Seo & H. Kim
- Optimizing air quality forecasting with OSSE: Assessing the assimilation of aerosol species data via multi-resolution observation network design in the WRF-Chem and 3DVAR frameworks X. Chen et al.
- Bayesian inversion of HFC-134a emissions in southern China from a new AGAGE site: Results from an observing system simulation experiment J. Li et al.
- Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al.
- Multi-routine-data driven spatio-temporal short-term predictions for surface ozone in China C. Zheng et al.
- Water Spectra Reconstruction for Sentinel-2 MSI: From Multispectral to Hyperspectral S. Chen et al.
- Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques C. Zhang et al.
Saved (final revised paper)
Latest update: 08 May 2026
Short summary
We quantify the benefit of multisource observations (GEMS, LEO satellite, and surface) on ozone simulations in Asia. Data assimilation improves the monitoring of exceedance, spatial pattern, and diurnal variation of surface ozone, with the regional mean bias reduced from −2.1 to −0.2 ppbv. Data assimilation also better represents ozone vertical distributions in the middle to upper troposphere at low latitudes. Our results offer a valuable reference for future ozone simulations.
We quantify the benefit of multisource observations (GEMS, LEO satellite, and surface) on ozone...
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