GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data

Detalhes bibliográficos
Autor(a) principal: Lambert, J. C.
Data de Publicação: 2007
Outros Autores: Granville, J., Lerot, C., Hendrick, F., Van Roozendael, M., Andersen, S. B., Dorokhov, V., Gerard, P., Gil, M., Goutail, F., Gruzdev, A. N., Held, G. [UNESP], Ionov, D. V., Johnston, P. V., Kostadinov, I., Kreher, K., Kyrö, E., Leveau, J., Navarro-Comas, M., Petritoli, A., Pommereau, J. P., Richter, A., Roscoe, H. K., Semenov, V. K., Stebel, K., Vaughan, G., Wagner, T., Wittrock, F., Yela, M.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/69529
Resumo: Until mid 2006, SCIAMACHY data processors for the operational retrieval of nitrogen dioxide (NO2) column data were based on the historical version 2 of the GOME Data Processor (GDP). On top of known problems inherent to GDP 2, ground-based validations of SCIAMACHY NO2 data revealed issues specific to SCIAMACHY, like a large cloud-dependent offset occurring at Northern latitudes. In 2006, the GDOAS prototype algorithm of the improved GDP version 4 was transferred to the off-line SCIAMACHY Ground Processor (SGP) version 3.0. In parallel, the calibration of SCIAMACHY radiometric data was upgraded. Before operational switch-on of SGP 3.0 and public release of upgraded SCIAMACHY NO2 data, we have investigated the accuracy of the algorithm transfer: (a) by checking the consistency of SGP 3.0 with prototype algorithms; and (b) by comparing SGP 3.0 NO2 data with ground-based observations reported by the WMO/GAW NDACC network of UV-visible DOAS/SAOZ spectrometers. This delta-validation study concludes that SGP 3.0 is a significant improvement with respect to the previous processor IPF 5.04. For three particular SCIAMACHY states, the study reveals unexplained features in the slant columns and air mass factors, although the quantitative impact on SGP 3.0 vertical columns is not significant.
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spelling GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network dataCalibrationData processingNitric oxideProblem solvingRadiometryUltraviolet spectrometersAlgorithm transferGround-based validationsNorthern latitudesPrototype algorithmsWeather forecastingUntil mid 2006, SCIAMACHY data processors for the operational retrieval of nitrogen dioxide (NO2) column data were based on the historical version 2 of the GOME Data Processor (GDP). On top of known problems inherent to GDP 2, ground-based validations of SCIAMACHY NO2 data revealed issues specific to SCIAMACHY, like a large cloud-dependent offset occurring at Northern latitudes. In 2006, the GDOAS prototype algorithm of the improved GDP version 4 was transferred to the off-line SCIAMACHY Ground Processor (SGP) version 3.0. In parallel, the calibration of SCIAMACHY radiometric data was upgraded. Before operational switch-on of SGP 3.0 and public release of upgraded SCIAMACHY NO2 data, we have investigated the accuracy of the algorithm transfer: (a) by checking the consistency of SGP 3.0 with prototype algorithms; and (b) by comparing SGP 3.0 NO2 data with ground-based observations reported by the WMO/GAW NDACC network of UV-visible DOAS/SAOZ spectrometers. This delta-validation study concludes that SGP 3.0 is a significant improvement with respect to the previous processor IPF 5.04. For three particular SCIAMACHY states, the study reveals unexplained features in the slant columns and air mass factors, although the quantitative impact on SGP 3.0 vertical columns is not significant.Belgian Institute for Space Aeronomy (IASB-BIRA), Avenue Circulaire 3, 1180 BrusselsDanish Meteorological Institute (DMI), CopenhagenCentral Aerological Observatory (CAO), MoscowInstituto Nacional de Técnica Aeroespacial (INTA), MadridService d'Aéronomie du CNRS, Verrières-le-BuissonInstitute of Atmospheric Physics (IAP-RAS), MoscowInstituto de Pesquisas Meteorológicas (IPMet) Universidade Estadual Paulista, BauruSaint-Petersburg State University (SPbSU), Saint-PetersburgNew Zealand Institute of Water and Atmospheric Research (NIWA), Louder, Central OtagoInstitute of Atmospheric Science and Climate ISAC/CNR, BolognaSolar-Terrestrial Influence Laboratory Bulg. Acad. of Sci. Dep. Stara ZagoraArctic Research Centre Finnish Meteorological Institute (FMI-ARC), SodankyläUniversité de La Réunion Saint Denis de la RéunionInstitut für Umweltphysik/Fernerkundung (IFE/IUP) University of BremenBritish Antarctic Survey (BAS/NERC), CambridgeGeophysical Laboratory Kyrgyz State National University (KSNU), BishkekNorwegian Institute for Air Research (NILU), TromsöSchool of Earth, Atmospheric and Environmental Sciences University of ManchesterInstitut für Umweltphysik (IUP) University of HeidelbergInstituto de Pesquisas Meteorológicas (IPMet) Universidade Estadual Paulista, BauruBelgian Institute for Space Aeronomy (IASB-BIRA)Danish Meteorological Institute (DMI)Central Aerological Observatory (CAO)Instituto Nacional de Técnica Aeroespacial (INTA)Service d'Aéronomie du CNRSInstitute of Atmospheric Physics (IAP-RAS)Universidade Estadual Paulista (Unesp)Saint-Petersburg State University (SPbSU)New Zealand Institute of Water and Atmospheric Research (NIWA)ISAC/CNRDep. Stara ZagoraFinnish Meteorological Institute (FMI-ARC)Saint Denis de la RéunionUniversity of BremenBritish Antarctic Survey (BAS/NERC)Kyrgyz State National University (KSNU)Norwegian Institute for Air Research (NILU)University of ManchesterUniversity of HeidelbergLambert, J. C.Granville, J.Lerot, C.Hendrick, F.Van Roozendael, M.Andersen, S. B.Dorokhov, V.Gerard, P.Gil, M.Goutail, F.Gruzdev, A. N.Held, G. [UNESP]Ionov, D. V.Johnston, P. V.Kostadinov, I.Kreher, K.Kyrö, E.Leveau, J.Navarro-Comas, M.Petritoli, A.Pommereau, J. P.Richter, A.Roscoe, H. K.Semenov, V. K.Stebel, K.Vaughan, G.Wagner, T.Wittrock, F.Yela, M.2014-05-27T11:22:24Z2014-05-27T11:22:24Z2007-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectEuropean Space Agency, (Special Publication) ESA SP, n. SP-642, 2007.0379-6566http://hdl.handle.net/11449/695292-s2.0-34249894715Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEuropean Space Agency, (Special Publication) ESA SP0,125info:eu-repo/semantics/openAccess2021-10-23T21:41:37Zoai:repositorio.unesp.br:11449/69529Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:38:48.782177Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
title GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
spellingShingle GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
Lambert, J. C.
Calibration
Data processing
Nitric oxide
Problem solving
Radiometry
Ultraviolet spectrometers
Algorithm transfer
Ground-based validations
Northern latitudes
Prototype algorithms
Weather forecasting
title_short GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
title_full GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
title_fullStr GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
title_full_unstemmed GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
title_sort GDP 4.0 transfer to SGP 3.0 for SCIAMACHY no2 column processing: Verification with SDOAS / GDOAS prototype algorithms and delta-validation with NDACC / UV-visible network data
author Lambert, J. C.
author_facet Lambert, J. C.
Granville, J.
Lerot, C.
Hendrick, F.
Van Roozendael, M.
Andersen, S. B.
Dorokhov, V.
Gerard, P.
Gil, M.
Goutail, F.
Gruzdev, A. N.
Held, G. [UNESP]
Ionov, D. V.
Johnston, P. V.
Kostadinov, I.
Kreher, K.
Kyrö, E.
Leveau, J.
Navarro-Comas, M.
Petritoli, A.
Pommereau, J. P.
Richter, A.
Roscoe, H. K.
Semenov, V. K.
Stebel, K.
Vaughan, G.
Wagner, T.
Wittrock, F.
Yela, M.
author_role author
author2 Granville, J.
Lerot, C.
Hendrick, F.
Van Roozendael, M.
Andersen, S. B.
Dorokhov, V.
Gerard, P.
Gil, M.
Goutail, F.
Gruzdev, A. N.
Held, G. [UNESP]
Ionov, D. V.
Johnston, P. V.
Kostadinov, I.
Kreher, K.
Kyrö, E.
Leveau, J.
Navarro-Comas, M.
Petritoli, A.
Pommereau, J. P.
Richter, A.
Roscoe, H. K.
Semenov, V. K.
Stebel, K.
Vaughan, G.
Wagner, T.
Wittrock, F.
Yela, M.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Belgian Institute for Space Aeronomy (IASB-BIRA)
Danish Meteorological Institute (DMI)
Central Aerological Observatory (CAO)
Instituto Nacional de Técnica Aeroespacial (INTA)
Service d'Aéronomie du CNRS
Institute of Atmospheric Physics (IAP-RAS)
Universidade Estadual Paulista (Unesp)
Saint-Petersburg State University (SPbSU)
New Zealand Institute of Water and Atmospheric Research (NIWA)
ISAC/CNR
Dep. Stara Zagora
Finnish Meteorological Institute (FMI-ARC)
Saint Denis de la Réunion
University of Bremen
British Antarctic Survey (BAS/NERC)
Kyrgyz State National University (KSNU)
Norwegian Institute for Air Research (NILU)
University of Manchester
University of Heidelberg
dc.contributor.author.fl_str_mv Lambert, J. C.
Granville, J.
Lerot, C.
Hendrick, F.
Van Roozendael, M.
Andersen, S. B.
Dorokhov, V.
Gerard, P.
Gil, M.
Goutail, F.
Gruzdev, A. N.
Held, G. [UNESP]
Ionov, D. V.
Johnston, P. V.
Kostadinov, I.
Kreher, K.
Kyrö, E.
Leveau, J.
Navarro-Comas, M.
Petritoli, A.
Pommereau, J. P.
Richter, A.
Roscoe, H. K.
Semenov, V. K.
Stebel, K.
Vaughan, G.
Wagner, T.
Wittrock, F.
Yela, M.
dc.subject.por.fl_str_mv Calibration
Data processing
Nitric oxide
Problem solving
Radiometry
Ultraviolet spectrometers
Algorithm transfer
Ground-based validations
Northern latitudes
Prototype algorithms
Weather forecasting
topic Calibration
Data processing
Nitric oxide
Problem solving
Radiometry
Ultraviolet spectrometers
Algorithm transfer
Ground-based validations
Northern latitudes
Prototype algorithms
Weather forecasting
description Until mid 2006, SCIAMACHY data processors for the operational retrieval of nitrogen dioxide (NO2) column data were based on the historical version 2 of the GOME Data Processor (GDP). On top of known problems inherent to GDP 2, ground-based validations of SCIAMACHY NO2 data revealed issues specific to SCIAMACHY, like a large cloud-dependent offset occurring at Northern latitudes. In 2006, the GDOAS prototype algorithm of the improved GDP version 4 was transferred to the off-line SCIAMACHY Ground Processor (SGP) version 3.0. In parallel, the calibration of SCIAMACHY radiometric data was upgraded. Before operational switch-on of SGP 3.0 and public release of upgraded SCIAMACHY NO2 data, we have investigated the accuracy of the algorithm transfer: (a) by checking the consistency of SGP 3.0 with prototype algorithms; and (b) by comparing SGP 3.0 NO2 data with ground-based observations reported by the WMO/GAW NDACC network of UV-visible DOAS/SAOZ spectrometers. This delta-validation study concludes that SGP 3.0 is a significant improvement with respect to the previous processor IPF 5.04. For three particular SCIAMACHY states, the study reveals unexplained features in the slant columns and air mass factors, although the quantitative impact on SGP 3.0 vertical columns is not significant.
publishDate 2007
dc.date.none.fl_str_mv 2007-02-01
2014-05-27T11:22:24Z
2014-05-27T11:22:24Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv European Space Agency, (Special Publication) ESA SP, n. SP-642, 2007.
0379-6566
http://hdl.handle.net/11449/69529
2-s2.0-34249894715
identifier_str_mv European Space Agency, (Special Publication) ESA SP, n. SP-642, 2007.
0379-6566
2-s2.0-34249894715
url http://hdl.handle.net/11449/69529
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv European Space Agency, (Special Publication) ESA SP
0,125
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
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instname_str Universidade Estadual Paulista (UNESP)
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reponame_str Repositório Institucional da UNESP
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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