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Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval

Loyola, Diego und Thomas, Werner und Yakov, Livschitz und Ruppert, Thomas und Peter, Albert und Hollmann, Rainer (2007) Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval. IEEE Transactions on Geoscience and Remote Sensing, 45 (9), Seiten 2747-2758. DOI: 10.1109/TGRS.2007.901043.

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Offizielle URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4294101

Kurzfassung

We focus on the retrieval of cloud properties appropriate for trace gas retrieval from sun-normalized ultraviolet/visible backscatter spectra obtained from the Global Ozone Monitoring Experiment (GOME) onboard the European Space Agency’s European Remote Sensing 2 Satellite (ERS-2). Retrieved quantities are the fractional cloud coverage of the GOME footprint, the cloud-top albedo, and the cloud-top height. A data fusion technique is applied to calculate the fractional cloud cover of GOME footprints from GOME’s polarization measurement devices. Furthermore, cloud-top albedo and cloud-top height are retrieved simultaneously from GOME measurements around the oxygen A-band by a neural network approach. We compare our results with corresponding results from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometer onboard the first European Organisation for the Exploitation ofMeteorological Satellites (EUMETSAT) METEOSAT Second Generation 1 geostationary spacecraft. Our analysis revealed that GOME-derived basic cloud properties are of remarkably high quality. GOME slightly underestimates the cloud coverage of footprints, which was expected since GOME is mainly sensitive to optically thick water clouds. GOME measurements are limited to the ultraviolet and visible part of the solar spectrum, which hampers the detection of optically thin clouds. For both the cloud-top height and the cloud-top albedo, we found a small bias relative to SEVIRI results. The overall uncertainty of retrieved total ozone columns with respect to cloud parameters is about 1%–2%. Our approach is applied to the operational processing of GOME/ERS-2 and will be applied to GOME-2/METOP (launched in 2006) in the framework of EUMETSAT’s Satellite Application Facility on Ozone and Atmospheric Chemistry Monitoring (O3M-SAF).

Dokumentart:Zeitschriftenbeitrag
Titel:Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Loyola, DiegoNICHT SPEZIFIZIERT
Thomas, WernerDWD
Yakov, LivschitzNICHT SPEZIFIZIERT
Ruppert, ThomasNICHT SPEZIFIZIERT
Peter, AlbertDWD, EUMETSAT
Hollmann, RainerDWD
Datum:2007
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
In ISI Web of Science:Ja
Band:45
DOI :10.1109/TGRS.2007.901043
Seitenbereich:Seiten 2747-2758
Status:veröffentlicht
Stichwörter:Cloud properties retrieval, data fusion, Global Ozone Monitoring Experiment (GOME), neural networks.
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Ozon-SAF (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Atmosphärenprozessoren
Hinterlegt von: Diego Loyola
Hinterlegt am:18 Sep 2007
Letzte Änderung:01 Feb 2013 12:36

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