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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 3
Atmos. Chem. Phys., 18, 1685-1704, 2018
https://doi.org/10.5194/acp-18-1685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 1685-1704, 2018
https://doi.org/10.5194/acp-18-1685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Feb 2018

Research article | 06 Feb 2018

Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments

Jacob C. A. van Peet1, Ronald J. van der A1,2, Hennie M. Kelder3, and Pieternel F. Levelt1,4 Jacob C. A. van Peet et al.
  • 1Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
  • 2Nanjing University of Information Science and Technology (NUIST), Nanjing, China
  • 3Eindhoven University of Technology, Eindhoven, the Netherlands
  • 4Delft University of Technology, Delft, the Netherlands

Abstract. A three-dimensional global ozone distribution has been derived from assimilation of ozone profiles that were observed by satellites. By simultaneous assimilation of ozone profiles retrieved from the nadir looking satellite instruments Global Ozone Monitoring Experiment 2 (GOME-2) and Ozone Monitoring Instrument (OMI), which measure the atmosphere at different times of the day, the quality of the derived atmospheric ozone field has been improved. The assimilation is using an extended Kalman filter in which chemical transport model TM5 has been used for the forecast. The combined assimilation of both GOME-2 and OMI improves upon the assimilation results of a single sensor. The new assimilation system has been demonstrated by processing 4 years of data from 2008 to 2011. Validation of the assimilation output by comparison with sondes shows that biases vary between −5 and +10% between the surface and 100hPa. The biases for the combined assimilation vary between −3 and +3% in the region between 100 and 10hPa where GOME-2 and OMI are most sensitive. This is a strong improvement compared to direct retrievals of ozone profiles from satellite observations.

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Ozone profiles measured by two satellite instruments (GOME-2A and OMI) have been combined with a chemical transport model using data assimilation. The results give a better insight into the global spatial and temporal ozone distribution than either measurement or model results alone. Validation with independent measurements shows biases varying between -5 % and +10 % between the surface and 100 hPa, while between 100 and 10 hPa the biases vary between -3 % and +3 %.
Ozone profiles measured by two satellite instruments (GOME-2A and OMI) have been combined with a...
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