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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Aug 2018

Research article | 14 Aug 2018

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

The use of QBO, ENSO and NAO perturbations in the evaluation of GOME-2/MetopA total ozone measurements

Kostas Eleftheratos1,2, Christos S. Zerefos2,3,4,5, Dimitris S. Balis6, Maria-Elissavet Koukouli6, John Kapsomenakis3, Diego G. Loyola7, Pieter Valks7, Melanie Coldewey-Egbers7, Christophe Lerot8, Stacey M. Frith9, Amund Søvde-Haslerud10, Ivar S. A. Isaksen10,11, and Seppo Hassinen12 Kostas Eleftheratos et al.
  • 1Laboratory of Climatology and Atmospheric Environment, Faculty of Geology and Geoenvironment, National and Kapodistrian University of Athens, Greece
  • 2Biomedical Research Foundation of the Academy of Athens, Athens, Greece
  • 3Research Centre for Atmospheric Physics and Climatology, Academy of Athens, Athens, Greece
  • 4Mariolopoulos-Kanaginis Foundation for the Environmental Sciences, Athens, Greece
  • 5Navarino Environmental Observatory (N.E.O.), Messinia, Greece
  • 6Laboratory of Atmospheric Physics, Department of Physics, Aristotle University of Thessaloniki, Greece
  • 7Institut für Methodik der Fernerkundung (IMF), Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany
  • 8Royal Belgian Institute for Space Aeronomy (BIRA), Brussels, Belgium
  • 9Science Systems and Applications, Inc., Lanham, MD, USA
  • 10Cicero Center for International Climate Research, Oslo, Norway
  • 11Department of Geosciences, University of Oslo, Oslo, Norway
  • 12Finnish Meteorological Institute, Helsinki, Finland

Abstract. In this work we present evidence that quasi cyclical perturbations in total ozone (Quasi Biennial Oscillation (QBO), El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO)) can be used as independent proxies in validating Global Ozone Monitoring Experiment-2 aboard MetopA (GOME-2A) satellite total ozone data, using ground-based measurements, other satellite data and chemical transport model calculations. The analysis is performed in the frame of the validation strategy on longer time scales within the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Satellite Application Facility on Atmospheric Composition Monitoring (AC SAF) project, and covers the period 2007–2016. In general, we find that GOME-2A total ozone data depict the QBO/ENSO/NAO natural fluctuations in concurrence with co-located Solar Backscatter Ultraviolet Radiometer (SBUV), GOME-type Total Ozone Essential Climate Variable (GTO-ECV) and ground-based (GB) observations. Total ozone from GOME-2A is well correlated with the QBO (highest correlation in the tropics of +0.8) in agreement with SBUV, GTO-ECV and GB data which also give the highest correlation in the tropics. The differences between deseazonalised GOME-2A and GB total ozone in the tropics are within ±1%. These differences were tested further as to their correlations with the QBO. The differences had practically no QBO signal, providing an independent test of the stability of the long-term variability of the satellite data. Correlations between GOME-2A total ozone and the Southern Oscillation Index (SOI) were studied over the tropical Pacific Ocean after removing seasonal and QBO related variability. Correlations between ozone and SOI are the order of +0.6, in consistency with SBUV and GB observations. Differences between GOME-2A and GB measurements at the station of Samoa (American Samoa; 14.25°S, 170.6°W) are within ±1.5%. We also studied the impact of NAO on total ozone in the northern mid-latitudes in winter. We find very good agreement between GOME-2A and GB observations over Canada and Europe as to their NAO-related variability, with mean differences reaching the ±1% levels. The agreement and small differences which were found between the independently produced total ozone data sets as to the influence of QBO, ENSO and NAO show the importance of these climatological proxies as additional tool for monitoring the long-term stability of satellite-ground truth biases.

Kostas Eleftheratos et al.
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Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Kostas Eleftheratos et al.
Kostas Eleftheratos et al.
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Short summary
We examine the ability of GOME-2A total ozone data to capture variability related to known natural oscillations such as the QBO, ENSO and NAO, with respect to other satellite datasets, ground-based data and chemical transport model simulations. The analysis is based on the GOME-2 satellite total ozone columns for the period 2007–2016, which form part of the operational EUMETSAT AC SAF GOME-2/MetopA GDP4.8 latest data product.
We examine the ability of GOME-2A total ozone data to capture variability related to known...