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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 22 Jan 2019

Submitted as: research article | 22 Jan 2019

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Atmospheric Measurement Techniques (AMT).

Benefit of ozone observations from Sentinel-5P and future Sentinel-4 missions on tropospheric composition

Samuel Quesada-Ruiz1,2,a, Jean-Luc Attié1,2, William A. Lahoz3, Rachid Abida1, Philippe Ricaud1, Laaziz El Amraoui1, Régina Zbinden1, Andrea Piacentini4, Mathieu Joly1, Henk Eskes5, Arjo Segers6, Lyana Curier6, Johan de Haan5, Jukka Kujanpää7, Albert Oude-Nijhuis5, Johanna Tamminen7, Renske Timmermans6, and Pepijn Veefkind5 Samuel Quesada-Ruiz et al.
  • 1CNRM, Météo-France/CNRS UMR 3589, Toulouse, France
  • 2Université de Toulouse, Laboratoire d’Aérologie, CNRS UMR 5560, Toulouse, France
  • 3NILU – Norwegian Institute for Air Research, P.O. Box 100, 2027 Kjeller, Norway
  • 4CERFACS, Global Change and Climate Modelling Team, 31057 Toulouse, France
  • 5Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands
  • 6TNO, Business unit Environment, Health and Safety, P.O. Box 80015, 3508 TA Utrecht, The Netherlands
  • 7Finnish Meteorological Institute, Earth Observation Unit, P.O. Box 503, 00101 Helsinki, Finland
  • acurrently at: European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading, RG2 9AX, UK

Abstract. We present an observing simulated system experiment (OSSE) dedicated to evaluate the potential added value from the Sentinel-4 and the Sentinel-5P observations on tropospheric ozone composition. For this purpose, the ozone data of Sentinel-4 (Ultraviolet Visible Near-infrared) and Sentinel-5P (TROPOspheric Monitoring Instrument) onboard a geostationary (GEO) and a low Earth orbit (LEO) platform, respectively, has been simulated for the summer 2003. To ensure the robustness of the results, the OSSE has been configured with conservative assumptions. We simulate the reality by combining two chemistry transport models (CTMs): the Long Term Ozone Simulation-European Operational Smog (LOTOS-EUROS) and the Transport Model version 5 (TM5). The assimilation system is based on a different CTM, the MOdèle de Chimie Atmosphérique à Grande Echelle (MOCAGE), combined with the 3D variational technique. The background error covariance matrix does not evolve in time and its variance is proportional to the field values. The simulated data are formed of six eigenvectors to minimize the size of the dataset by removing the noise-dominated part of the observations. The results show that the satellite data clearly bring direct added value around 200 hPa for the whole assimilation period and for the whole European domain, while a likely indirect added value is identified but not for the whole period and domain at 500 hPa, and to a lower extent at 700 hPa. In addition, the ozone added value from Sentinel-5P (LEO) appears close to that from Sentinel-4 (GEO) in the free troposphere (200–500 hPa) in our OSSE.

Samuel Quesada-Ruiz et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Samuel Quesada-Ruiz et al.
Samuel Quesada-Ruiz et al.
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