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Geoscientific Model Development 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: development and technical paper 06 Nov 2019

Submitted as: development and technical paper | 06 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

An inter-comparison of tropospheric ozone reanalysis products from CAMS, CAMS-Interim, TCR-1 and TCR-2

Vincent Huijnen1, Kazuyuki Miyazaki2, Johannes Flemming3, Antje Inness3, Takashi Sekiya4, and Martin G. Schultz5 Vincent Huijnen et al.
  • 1Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
  • 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
  • 3ECMWF, Shinfield Park, Reading, RG2 9AX, UK
  • 4Research Institute for Global Change (RIGC), Japan Agency for Marine–Earth Science and Technology (JAMSTEC), Yokohama 2360001, Japan
  • 5Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany

Abstract. Global tropospheric ozone reanalyses constructed using different state-of-the-art satellite data assimilation systems, prepared as part of the Copernicus Atmosphere Monitoring Service (CAMS-iRean and CAMS-Rean) as well as two fully independent Tropospheric Chemistry Reanalyses (TCR-1 and TCR-2), have been inter-compared and evaluated for the past decade. The updated reanalyses (CAMS-Rean and TCR-2) generally show substantially improved agreements with independent ground and ozonesonde observations over their predecessor versions (CAMS-iRean and TCR-1) for the diurnal, synoptical, seasonal, and decadal variability. The improved performance can be attributed to a mixture of various upgrades, such as revisions in the chemical data assimilation, including the assimilated measurements, and the forecast model performance. The updated chemical reanalyses agree well with each other for most cases, which highlights the usefulness of the current chemical reanalyses in a variety of studies. Meanwhile, significant temporal changes in the reanalysis quality in all the systems can be attributed to discontinuities in the observing systems. To improve the temporal consistency, a careful assessment of changes in the assimilation configuration, such as a detailed assessment of biases between various retrieval products, is needed. Even though the assimilation of multi-species data influences the representation of the trace gases in all the systems and also the precursors’ emissions in the TCR reanalyses, the influence of persistent model errors remains a concern, especially for the lower troposphere. Our comparison suggests that improving the observational constraints, including the continued development of satellite observing systems, together with the optimization of model parameterisations, such as deposition and chemical reactions, will lead to increasingly consistent long-term reanalyses in the future.

Vincent Huijnen et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
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Vincent Huijnen et al.
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Publications Copernicus
Short summary
We present and evaluation and intercomparison of global tropospheric ozone reanalyses that have been produced in recent years. Such reanalyses can be used to assess the current state and variability of tropospheric ozone, a key trace gas that is relevant in the context of air pollution and climate change. Generation of consistent time series of tropospheric ozone is challenging because of the complex combination of modelling together with techniques to impose constraints from observations.
We present and evaluation and intercomparison of global tropospheric ozone reanalyses that have...