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The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME

Lerot, C. and Roozendael, M. Van and Lambert, J.-C. and Granville, J. and Gent, J. van and Loyola, Diego and Spurr, Robert (2010) The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME. International Journal of Remote Sensing, 31 (2), pp. 543-550. Taylor & Francis. DOI: 10.1080/01431160902893576 ISSN 0143-1161

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Official URL: http://www.tandfonline.com/doi/abs/10.1080/01431160902893576

Abstract

We present the total ozone retrieval algorithm GODFIT (GOME Direct-FITting). Applied to nadir backscattered measurements from the Global Ozone Monitoring Experiment (GOME), it is based on a direct-fitting approach by which spectral radiances simulated using the radiative transfer model LIDORT v3.3 (Linearized Discrete Ordinate Radiative Transfer) are adjusted to measurements in the 325–335 nm interval. Total O3 columns retrieved from GOME spectra have been compared not only to columns retrieved from Ozone Monitoring Instrument (OMI) measurements using the TOMS v8.5 algorithm, but also to correlative ground-based measurements from the GAW/NDACC networks (Global Atmosphere Watch/Network for the Detection of Atmospheric Composition Change). We show that GODFIT produces a significant reduction of the GOME ground-based differences and some of the associated dependencies, compared with the GOME Data Processor (GDP) 4.1 product. Version 5 of GDP, based on the GODFIT algorithm, will be released in spring 2010.

Item URL in elib:https://elib.dlr.de/82224/
Document Type:Article
Title:The GODFIT algorithm: a direct fitting approach to improve the accuracy of total ozone measurements from GOME
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lerot, C.BIRAUNSPECIFIED
Roozendael, M. VanBelgian Institute for space AeronomyUNSPECIFIED
Lambert, J.-C.BIRAUNSPECIFIED
Granville, J.BIRAUNSPECIFIED
Gent, J. vanBIRAUNSPECIFIED
Loyola, DiegoDLR-MFUNSPECIFIED
Spurr, RobertRT Solutions, Inc.UNSPECIFIED
Date:2010
Journal or Publication Title:International Journal of Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:31
DOI :10.1080/01431160902893576
Page Range:pp. 543-550
Publisher:Taylor & Francis
ISSN:0143-1161
Status:Published
Keywords:ozone monitoring GOME, SCIAMACHY, GOME-2
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: Berlin-Adlershof , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Deposited By: Loyola, Dr.-Ing. Diego
Deposited On:08 May 2013 13:22
Last Modified:10 Jan 2019 15:48

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