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
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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. |
id |
UNSP_ec235dbb891f06694e44044ea3516b33 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/69529 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128393614458880 |