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| Titel |
The GOME-type Total Ozone Essential Climate Variable (GTO-ECV) data record from the ESA Climate Change Initiative |
| VerfasserIn |
M. Coldewey-Egbers, D. G. Loyola, M. Koukouli, D. Balis, J.-C. Lambert, T. Verhoelst, J. Granville, M. Van Roozendael, C. Lerot, R. Spurr, S. M. Frith, C. Zehner |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 9 ; Nr. 8, no. 9 (2015-09-24), S.3923-3940 |
| Datensatznummer |
250116586
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| Publikation (Nr.) |
 copernicus.org/amt-8-3923-2015.pdf |
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| Zusammenfassung |
| 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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