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Sixteen years of GOME/ERS-2 total ozone data: The new direct-fitting GOME Data Processor (GDP) version 5—Algorithm description

Van Roozendael, Michel and Spurr, Robert and Loyola, Diego and Lerot, C. and Balis, Dimitris and Lambert, J.-C. and Zimmer, Walter and van Gent, J. and van Geffen, J. and Koukouli, M. and Granville, Jose and Doicu, Adrian and Fayt, C. and Zehner, Claus (2012) Sixteen years of GOME/ERS-2 total ozone data: The new direct-fitting GOME Data Processor (GDP) version 5—Algorithm description. Journal of Geophysical Research, 117 (117), pp. 1-18. DOI: 10.1029/2011JD016471.

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Official URL: http://www.agu.org/pubs/crossref/2012/2011JD016471.shtml

Abstract

The Global Ozone Monitoring Instrument (GOME) was launched in April 1995 on ESA's ERS-2 platform, and the GOME Data Processor (GDP) operational retrieval algorithm has produced total ozone columns since July 1995. We report on the new GDP5 spectral fitting algorithm used to reprocess the 16-year GOME data record. Previous GDP total ozone algorithms were based on the DOAS method. In contrast, GDP5 uses a direct-fitting algorithm without high-pass filtering of radiances; there is no air mass factor conversion to vertical column amount. GDP5 includes direct radiative transfer simulation of earthshine radiances and Jacobians with respect to total ozone, albedo closure and other ancillary fitting parameters - a temperature profile shift, and amplitudes for undersampling and Ring-effect interference signals. Simulations are based on climatological ozone profiles extracted from the TOMS Version 8 database, classified by total column. GDP5 uses the high-resolution Brion-Daumont-Malicet ozone absorption cross-sections, replacing older GOME-measured flight model data. The semi-empirical molecular Ring correction developed for GDP4 has been adapted for direct fitting. Cloud preprocessing for GDP5 is done using updated versions of cloud-correction algorithms OCRA and ROCINN. The reprocessed GOME GDP5 record maintains the remarkable long-term stability of time series already achieved with GDP4. Furthermore, validation results show a clear improvement in the accuracy of the ozone product with reduced solar zenith angle and seasonal dependences, particularly in comparison with correlative observations from the ground-based network of Brewer spectrophotometers.

Document Type:Article
Title:Sixteen years of GOME/ERS-2 total ozone data: The new direct-fitting GOME Data Processor (GDP) version 5—Algorithm description
Authors:
AuthorsInstitution or Email of Authors
Van Roozendael, MichelBIRA-IASB
Spurr, RobertRT Solutions
Loyola, DiegoUNSPECIFIED
Lerot, C.BIRA-IASB
Balis, DimitrisAUTH
Lambert, J.-C.BIRA-IASB
Zimmer, WalterUNSPECIFIED
van Gent, J.UNSPECIFIED
van Geffen, J.BIRA-IASB
Koukouli, M.AUTH
Granville, JoseBIRA-IASB
Doicu, AdrianUNSPECIFIED
Fayt, C.BIRA-IASB
Zehner, ClausESA-ESRIN
Date:2012
Journal or Publication Title:Journal of Geophysical Research
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:117
DOI:10.1029/2011JD016471
Page Range:pp. 1-18
Status:Published
Keywords:GOME total ozone; validation
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Ozon-SAF (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Diego Loyola
Deposited On:25 May 2012 08:30
Last Modified:23 Jan 2014 11:36

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