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Evaluating a new homogeneous total ozone climate data record from GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A

Koukouli, M. and Lerot, C. and Granville, J. and Goutail, F. and Lambert, J.-C. and Pommereau, J. P. and Balis, D. and Zyrichidou, I. and Van Roozendael, M. and Coldewey-Egbers, M. and Loyola, D. and Labow, G. and Frith, S. and Spurr, R. and Zehner, C. (2016) Evaluating a new homogeneous total ozone climate data record from GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A. Journal of Geophysical Research: Atmospheres, 120 (23), pp. 12296-12312. Wiley. DOI: 10.1002/2015JD023699 ISSN 0148-0227

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/2015JD023699/full

Abstract

The 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 ± 1% 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% requirement of the European Space Agency's Ozone Climate Change Initiative project.

Item URL in elib:https://elib.dlr.de/100880/
Document Type:Article
Title:Evaluating a new homogeneous total ozone climate data record from GOME/ERS-2, SCIAMACHY/Envisat, and GOME-2/MetOp-A
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Koukouli, M.AUTHUNSPECIFIED
Lerot, C.BIRAUNSPECIFIED
Granville, J.BIRAUNSPECIFIED
Goutail, F.CNRSUNSPECIFIED
Lambert, J.-C.BIRAUNSPECIFIED
Pommereau, J. P.LATMOSUNSPECIFIED
Balis, D.AUTHUNSPECIFIED
Zyrichidou, I.AUTHUNSPECIFIED
Van Roozendael, M.BIRAUNSPECIFIED
Coldewey-Egbers, M.DLR-IMFUNSPECIFIED
Loyola, D.DLR-IMFUNSPECIFIED
Labow, G.NASAUNSPECIFIED
Frith, S.NASAUNSPECIFIED
Spurr, R.RT SolutionsUNSPECIFIED
Zehner, C.ESA-ESRINUNSPECIFIED
Date:2016
Journal or Publication Title:Journal of Geophysical Research: Atmospheres
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:120
DOI :10.1002/2015JD023699
Page Range:pp. 12296-12312
Editors:
EditorsEmail
Ghan, Steven J.steven.ghan@gmail.com
Publisher:Wiley
ISSN:0148-0227
Status:Published
Keywords:total ozone, validation, gome, sciamachy, gome-2
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Datenprodukte für Klima- und Atmosphärenanwendungen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Coldewey-Egbers, Melanie
Deposited On:11 Dec 2015 15:55
Last Modified:31 Jul 2019 19:58

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