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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 3 | Copyright

Special issue: Quadrennial Ozone Symposium 2016 – Status and trends...

Atmos. Meas. Tech., 11, 1385-1402, 2018
https://doi.org/10.5194/amt-11-1385-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Mar 2018

Research article | 09 Mar 2018

Quality assessment of the Ozone_cci Climate Research Data Package (release 2017) – Part 1: Ground-based validation of total ozone column data products

Katerina Garane1, Christophe Lerot2, Melanie Coldewey-Egbers3, Tijl Verhoelst2, Maria Elissavet Koukouli1, Irene Zyrichidou1, Dimitris S. Balis1, Thomas Danckaert2, Florence Goutail4, Jose Granville2, Daan Hubert2, Arno Keppens2, Jean-Christopher Lambert2, Diego Loyola3, Jean-Pierre Pommereau4, Michel Van Roozendael2, and Claus Zehner5 Katerina Garane et al.
  • 1Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki 54124, Greece
  • 2Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 3, Avenue Circulaire, 1180 Brussels, Belgium
  • 3Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), 82234 Oberpfaffenhofen, Germany
  • 4LATMOS, CNRS, University Versailles Saint-Quentin-en-Yvelines, Guyancourt, France
  • 5European Space Agency, ESRIN, Frascati, Italy

Abstract. The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) is a level-3 data record, which combines individual sensor products into one single cohesive record covering the 22-year period from 1995 to 2016, generated in the frame of the European Space Agency's Climate Change Initiative Phase II. It is based on level-2 total ozone data produced by the GODFIT (GOME-type Direct FITting) v4 algorithm as applied to the GOME/ERS-2, OMI/Aura, SCIAMACHY/Envisat and GOME-2/Metop-A and Metop-B observations. In this paper we examine whether GTO-ECV meets the specific requirements set by the international climate–chemistry modelling community for decadal stability long-term and short-term accuracy. In the following, we present the validation of the 2017 release of the Climate Research Data Package Total Ozone Column (CRDP TOC) at both level 2 and level 3. The inter-sensor consistency of the individual level-2 data sets has mean differences generally within 0.5% at moderate latitudes (±50°), whereas the level-3 data sets show mean differences with respect to the OMI reference data record that span between −0.2±0.9% (for GOME-2B) and 1.0±1.4% (for SCIAMACHY). Very similar findings are reported for the level-2 validation against independent ground-based TOC observations reported by Brewer, Dobson and SAOZ instruments: the mean bias between GODFIT v4 satellite TOC and the ground instrument is well within 1.0±1.0% for all sensors, the drift per decade spans between −0.5% and 1.0±1.0% depending on the sensor, and the peak-to-peak seasonality of the differences ranges from ∼ 1% for GOME and OMI to  ∼ 2% for SCIAMACHY. For the level-3 validation, our first goal was to show that the level-3 CRDP produces findings consistent with the level-2 individual sensor comparisons. We show a very good agreement with 0.5 to 2% peak-to-peak amplitude for the monthly mean difference time series and a negligible drift per decade of the differences in the Northern Hemisphere of −0.11±0.10%decade−1 for Dobson and +0.22±0.08%decade−1 for Brewer collocations. The exceptional quality of the level-3 GTO-ECV v3 TOC record temporal stability satisfies well the requirements for the total ozone measurement decadal stability of 1–3% and the short-term and long-term accuracy requirements of 2 and 3%, respectively, showing a remarkable inter-sensor consistency, both in the level-2 GODFIT v4 and in the level-3 GTO-ECV v3 datasets, and thus can be used for longer-term analysis of the ozone layer, such as decadal trend studies, chemistry–climate model evaluation and data assimilation applications.

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The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) is a level-3 data record, which combines individual sensor products into one single cohesive record covering the 22-year period from 1995 to 2017, generated in the frame of the European Space Agency's Climate Change Initiative Phase II. The exceptional quality of the level-3 GTO-ECV v3 TOC record temporal stability satisfies well the requirements for the total ozone measurement decadal stability of between 1 and 3 %.
The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) is a level-3 data record, which...
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