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

Loyola, Diego and Thomas, Werner and Yakov, Livschitz and Ruppert, Thomas and Peter, Albert and 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), pp. 2747-2758. DOI: 10.1109/TGRS.2007.901043.

Full text not available from this repository.

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

Abstract

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).

Document Type:Article
Title:Cloud Properties Derived From GOME/ERS-2 Backscatter Data for Trace Gas Retrieval
Authors:
AuthorsInstitution or Email of Authors
Loyola, DiegoUNSPECIFIED
Thomas, WernerDWD
Yakov, LivschitzUNSPECIFIED
Ruppert, ThomasUNSPECIFIED
Peter, AlbertDWD, EUMETSAT
Hollmann, RainerDWD
Date:2007
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
In ISI Web of Science:Yes
Volume:45
DOI:10.1109/TGRS.2007.901043
Page Range:pp. 2747-2758
Status:Published
Keywords:Cloud properties retrieval, data fusion, Global Ozone Monitoring Experiment (GOME), neural networks.
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:18 Sep 2007
Last Modified:01 Feb 2013 12:36

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