Total Ozone Trends Derived from the 14-Year Combined GOME/SCIAMACHY/GOME-2 Satellite Data Record
Diego Loyola(1), Melanie Coldewey-Egbers(1), Walter Zimmer(1), Lerot Christophe(2), Michel van Roozendael(2), Martin Dameris(1), MariLiza Koukouli(3) and Dimitris Balis(3)
(1) German Aerospace Center (DLR), Oberpfaffenhofen, D-82234 Wessling, Germany
(2) Belgian Institute for Space Aeronomy (BIRA), , Brussels, Belgium
(3) Aristotle University of Thessaloniki (AUTH), , Thessaloniki, Greece
Global total ozone columns derived from three European satellite sensors GOME/ERS-2), SCIAMACHY/ENVISAT), and GOME-2/MetOp are combined and added up to a continuous 14-year time series starting in June 1995. The GOME data is considered as reference standard, and SCIAMACHY and GOME-2 measurements are adjusted to GOME to establish a homogeneous and consistent time series until 2009.
We present first long-term trend estimates obtained from a multiple linear least squares regression analysis using zonally averaged monthly mean ozone values. The influence of several explanatory variables, as well as autocorrelation and spatial correlation in noise will be investigated.
Results are compared to version 8 TOMS/SBUV merged ozone time series, simulations performed with the atmospheric Chemistry-Climate Model E39C-A, and Dobson/Brewer ground-based observations.