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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 9 | Copyright
Atmos. Meas. Tech., 8, 3923-3940, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 24 Sep 2015

Research article | 24 Sep 2015

The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative

M. Coldewey-Egbers1, D. G. Loyola1, M. Koukouli2, D. Balis2, J.-C. Lambert3, T. Verhoelst3, J. Granville3, M. van Roozendael3, C. Lerot3, R. Spurr4, S. M. Frith5, and C. Zehner6 M. Coldewey-Egbers et al.
  • 1German Aerospace Center (DLR), Wessling, Germany
  • 2Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
  • 3Belgian Institute for Space Aeronomy (BIRA), Brussels, Belgium
  • 4RT Solutions Inc., Cambridge, Massachusetts, USA
  • 5Science Systems and Applications Inc., National Aeronautics and Space Administration/Goddard Space Flight Center (NASA/GSFC), Greenbelt, Maryland, USA
  • 6European Space Agency/European Space Research Institute (ESA/ESRIN), Frascati, Italy

Abstract. We present the new GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record which has been created within the framework of the European Space Agency's Climate Change Initiative (ESA-CCI). Total ozone column observations – based on the GOME-type Direct Fitting version 3 algorithm – from GOME (Global Ozone Monitoring Experiment), SCIAMACHY (SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY), and GOME-2 have been combined into one homogeneous time series, thereby taking advantage of the high inter-sensor consistency. The data record spans the 15-year period from March 1996 to June 2011 and it contains global monthly mean total ozone columns on a 1°× 1° grid. Geophysical ground-based validation using Brewer, Dobson, and UV–visible instruments has shown that the GTO-ECV level 3 data record is of the same high quality as the equivalent individual level 2 data products that constitute it. Both absolute agreement and long-term stability are excellent with respect to the ground-based data, for almost all latitudes apart from a few outliers which are mostly due to sampling differences between the level 2 and level 3 data. We conclude that the GTO-ECV data record is valuable for a variety of climate applications such as the long-term monitoring of the past evolution of the ozone layer, trend analysis and the evaluation of chemistry–climate model simulations.

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