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Evaluating a New Homogeneous Total Ozone Climate Data Record from GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-AThe European Space Agency's Ozone Climate Change Initiative (O3-CCI) project aims at producing and validating a number of high-quality ozone data products generated from different satellite sensors. For total ozone, the O3-CCI approach consists of minimizing sources of bias and systematic uncertainties by applying a common retrieval algorithm to all level 1 data sets, in order to enhance the consistency between the level 2 data sets from individual sensors. Here we present the evaluation of the total ozone products from the European sensors Global Ozone Monitoring Experiment (GOME)/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A produced with the GOME-type Direct FITting (GODFIT) algorithm v3. Measurements from the three sensors span more than 16 years, from 1996 to 2012. In this work, we present the latest O3-CCI total ozone validation results using as reference ground-based measurements from Brewer and Dobson spectrophotometers archived at the World Ozone and UV Data Centre of the World Meteorological Organization as well as from UV-visible differential optical absorption spectroscopy (DOAS)/Système D′Analyse par Observations Zénithales (SAOZ) instruments from the Network for the Detection of Atmospheric Composition Change. In particular, we investigate possible dependencies in these new GODFIT v3 total ozone data sets with respect to latitude, season, solar zenith angle, and different cloud parameters, using the most adequate type of ground-based instrument. We show that these three O3-CCI total ozone data products behave very similarly and are less sensitive to instrumental degradation, mainly as a result of the new reflectance soft-calibration scheme. The mean bias to the ground-based observations is found to be within the 1 plus or minus 1 percent level for all three sensors while the near-zero decadal stability of the total ozone columns (TOCs) provided by the three European instruments falls well within the 1-3 percent requirement of the European Space Agency's Ozone Climate Change Initiative project.
Document ID
20160005001
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Koukouli, M.E. (Aristotle Univ. of Thessaloniki Greece)
Lerot, C. (Institut d'Aeronomie Spatiale de Belgique Ukkel, Belgium)
Granville, J. (Institut d'Aeronomie Spatiale de Belgique Ukkel, Belgium)
Goutail, F. (Universite de Versailles Saint-Quentin-en-Yvelines Versailles, France)
Lambert, J.-C. (Institut d'Aeronomie Spatiale de Belgique Ukkel, Belgium)
Pommereau, J.-P. (Universite de Versailles Saint-Quentin-en-Yvelines Versailles, France)
Balis, D. (Aristotle Univ. of Thessaloniki Greece)
Zyrichidou, I. (Aristotle Univ. of Thessaloniki Greece)
Van Roozendael, M. (Institut d'Aeronomie Spatiale de Belgique Ukkel, Belgium)
Coldewey-Egbers, M. (Deutsche Gesellschaft fuer Luft- und Raumfahrt Wessling, Germany)
Loyola, D. (Deutsche Gesellschaft fuer Luft- und Raumfahrt Wessling, Germany)
Labow, G. (Science Systems and Applications, Inc. Greenbelt, MD, United States)
Frith, S. (Science Systems and Applications, Inc. Greenbelt, MD, United States)
Spurr, R. (RT Solutions, Inc. Cambridge, MA, United States)
Zehner, C. (European Space Agency. ESRIN Frascati, Italy)
Date Acquired
April 12, 2016
Publication Date
December 4, 2015
Publication Information
Publication: Journal of Geophysical Research: Atmospheres
Volume: 120
Issue: 23
Subject Category
Meteorology and Climatology
Instrumentation and Photography
Report/Patent Number
GSFC-E-DAA-TN31221
Funding Number(s)
CONTRACT_GRANT: NNG12HP08C
Distribution Limits
Public
Copyright
Other
Keywords
Satellite sensors
Global satellite
Ozone climate data