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Ten years of GOME/ERS-2 total ozone data: the new GOME Data Processor (GDP) Version 4: I. Algorithm Description

Van Roozendael, Michel and Loyola, Diego and Spurr, Robert and Balis, Dimitris and Lambert, J-C. and Livschitz, Yakov and Valks, Pieter and Ruppert, Thomas and Kenter, Peping and Fayt, Caroline and Zehner, Claus (2006) Ten years of GOME/ERS-2 total ozone data: the new GOME Data Processor (GDP) Version 4: I. Algorithm Description. Journal of Geophysical Research, 111 (D14311). DOI: 10.1029/2005JD006375.

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Official URL: http://dx.doi.org/10.1029/2005JD006375

Abstract

The Global Ozone Monitoring Instrument (GOME) was launched on the European Space Agency's ERS-2 platform in April 1995. The GOME data processor (GDP) operational retrieval algorithm has generated total ozone columns since July 1995. In 2004 the GDP system was given a major upgrade to version 4.0, a new validation was performed, and the 10-year GOME level 1 data record was reprocessed. In two papers, we describe the GDP 4.0 retrieval algorithm and present an error budget and sensitivity analysis (paper 1) and validation of the GDP total ozone product and the overall accuracy of the entire GOME ozone record (paper 2). GDP 4.0 uses an optimized differential optical absorption spectroscopy (DOAS) algorithm, with air mass factor (AMF) conversions calculated using the radiative transfer code linearized discrete ordinate radiative transfer (LIDORT). AMF computation is based on the TOMS version 8 ozone profile climatology, classified by total column, and AMFs are adjusted iteratively to reflect the DOAS slant column result. GDP 4.0 has improved wavelength calibration and reference spectra and includes a new molecular Ring correction to deal with distortion of ozone absorption features due to inelastic rotational Raman scattering effects. Preprocessing for cloud parameter estimation in GDP 4.0 is done using two new cloud correction algorithms: OCRA and ROCINN. For clear and cloudy scenes the precision of the ozone column product is better than 2.4 and 3.3%, respectively, for solar zenith angles up to 80°. Comparisons with ground-based data are generally at the 1–1.5% level or better for all regions outside the poles.

Document Type:Article
Title:Ten years of GOME/ERS-2 total ozone data: the new GOME Data Processor (GDP) Version 4: I. Algorithm Description
Authors:
AuthorsInstitution or Email of Authors
Van Roozendael, MichelBIRA-IASB
Loyola, DiegoUNSPECIFIED
Spurr, RobertRT Solutions
Balis, DimitrisAUTH
Lambert, J-C.BIRA-IASB
Livschitz, YakovUNSPECIFIED
Valks, PieterUNSPECIFIED
Ruppert, ThomasUNSPECIFIED
Kenter, PepingS&T
Fayt, CarolineBIRA-IASB
Zehner, ClausESA-ESRIN
Date:2006
Journal or Publication Title:Journal of Geophysical Research
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:111
DOI:10.1029/2005JD006375
Status:Published
Keywords:GOME total ozone; DOAS algorithm.
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:06 Mar 2007
Last Modified:27 Apr 2009 13:34

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