Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations

Shu, Lei; Zhu, Lei; Bak, Juseon; Zoogman, Peter; Han, Han; Liu, Song; Li, Xicheng; Sun, Shuai; Li, Juan; Chen, Yuyang; Pu, Dongchuan; Zuo, Xiaoxing; Fu, Weitao; Yang, Xin; Fu, Tzung-May

doi:https://doi.org/10.5194/acp-23-3731-2023

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.

Special issue:

GEMS: first year in operation (AMT/ACP inter-journal SI)

https://doi.org/10.5194/acp-23-3731-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 6

Research article

|

28 Mar 2023

Research article |

| 28 Mar 2023

Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations

Lei Shu, Lei Zhu, Juseon Bak, Peter Zoogman, Han Han, Song Liu, Xicheng Li, Shuai Sun, Juan Li, Yuyang Chen, Dongchuan Pu, Xiaoxing Zuo, Weitao Fu, Xin Yang, and Tzung-May Fu

Supplement

https://doi.org/10.5194/acp-23-3731-2023-supplement

Data sets

OMI PROFOZ product Aura Validation Data Center https://avdc.gsfc.nasa.gov/pub/data/satellite/Aura/OMI/V03/L2/OMPROFOZ/

Model code and software

geoschem/geos-chem: GEOS-Chem 12.9.3 (12.9.3) The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.3974569

WRF-Chem model NCAR https://www2.mmm.ucar.edu/wrf/users/download/get_source.html

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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.