SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research

From raw ERS wavemode data, complex SAR images of size 5 km x 10 km - so called imagettes - are computed using DLR's BSAR processor. Being collected over oceans every 200 km along the orbit, imagettes provide a patchy daily global coverage of the world's oceans. This paper presents DLR...

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Main Authors: Lehner, Susanne, König, Thomas, Schulz-Stellenfleth, Johannes, Niedermeier, Andreas
Other Authors: SPIE Org.
Format: Conference Object
Language:unknown
Published: 2004
Subjects:
Online Access:https://elib.dlr.de/8142/
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record_format openpolar
spelling ftdlr:oai:elib.dlr.de:8142 2024-06-09T07:49:28+00:00 SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research Lehner, Susanne König, Thomas Schulz-Stellenfleth, Johannes Niedermeier, Andreas SPIE Org. 2004 https://elib.dlr.de/8142/ unknown Lehner, Susanne und König, Thomas und Schulz-Stellenfleth, Johannes und Niedermeier, Andreas (2004) SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research. In: Remote Sensing of the Ocean and Sea Ice 2003, 5233, Seiten 126-133. SPIE Remote Sensing Symposium, Barcelona, Spain, 8-12 September, 2003. ISBN 0-8194-5116-9. Institut für Methodik der Fernerkundung Konferenzbeitrag NonPeerReviewed 2004 ftdlr 2024-05-15T08:56:05Z From raw ERS wavemode data, complex SAR images of size 5 km x 10 km - so called imagettes - are computed using DLR's BSAR processor. Being collected over oceans every 200 km along the orbit, imagettes provide a patchy daily global coverage of the world's oceans. This paper presents DLR's processing chain and results for a three week testing period covering the detection of ocean slicks and sea ice, the use of cross spectra to derive wave spectra over open ocean, the detection of one or several ocean wave systems together with its wave length and its propagation direction, and the estimation of single wave heights. In sea ice covered areas, statistical parameters derived from the SAR are well correlated to physical measures such as the ice deformation energy and ridge frequency. Over ice free areas, comparisons between the SAR results and the ECMWF analysis as well as model results show good agreement in most cases. Observed deviations between SAR measurements and model results are discussed. As a new application of wave mode data statistics are presented on the occurence of extreme waves. As soon as ESA will make available the daily global raw wavemode data for the whole lifetime of ERS-1 and ERS-2, it will be possible to DLR to derive unique statistics on sea ice and wave parameters for a period of at least 10 years, which may be even extended by the use of ENVISAT data in future. Together with near surface wind fields which are also derivable from the imagettes, this work will be of extreme use for climate research applications. Conference Object Sea ice ice covered areas German Aerospace Center: elib - DLR electronic library
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language unknown
topic Institut für Methodik der Fernerkundung
spellingShingle Institut für Methodik der Fernerkundung
Lehner, Susanne
König, Thomas
Schulz-Stellenfleth, Johannes
Niedermeier, Andreas
SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
topic_facet Institut für Methodik der Fernerkundung
description From raw ERS wavemode data, complex SAR images of size 5 km x 10 km - so called imagettes - are computed using DLR's BSAR processor. Being collected over oceans every 200 km along the orbit, imagettes provide a patchy daily global coverage of the world's oceans. This paper presents DLR's processing chain and results for a three week testing period covering the detection of ocean slicks and sea ice, the use of cross spectra to derive wave spectra over open ocean, the detection of one or several ocean wave systems together with its wave length and its propagation direction, and the estimation of single wave heights. In sea ice covered areas, statistical parameters derived from the SAR are well correlated to physical measures such as the ice deformation energy and ridge frequency. Over ice free areas, comparisons between the SAR results and the ECMWF analysis as well as model results show good agreement in most cases. Observed deviations between SAR measurements and model results are discussed. As a new application of wave mode data statistics are presented on the occurence of extreme waves. As soon as ESA will make available the daily global raw wavemode data for the whole lifetime of ERS-1 and ERS-2, it will be possible to DLR to derive unique statistics on sea ice and wave parameters for a period of at least 10 years, which may be even extended by the use of ENVISAT data in future. Together with near surface wind fields which are also derivable from the imagettes, this work will be of extreme use for climate research applications.
author2 SPIE Org.
format Conference Object
author Lehner, Susanne
König, Thomas
Schulz-Stellenfleth, Johannes
Niedermeier, Andreas
author_facet Lehner, Susanne
König, Thomas
Schulz-Stellenfleth, Johannes
Niedermeier, Andreas
author_sort Lehner, Susanne
title SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
title_short SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
title_full SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
title_fullStr SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
title_full_unstemmed SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research
title_sort sar wave mode data - a new source for ocean and sea ice related climate research
publishDate 2004
url https://elib.dlr.de/8142/
genre Sea ice
ice covered areas
genre_facet Sea ice
ice covered areas
op_relation Lehner, Susanne und König, Thomas und Schulz-Stellenfleth, Johannes und Niedermeier, Andreas (2004) SAR wave mode data - A new source for Ocean and Sea Ice Related Climate Research. In: Remote Sensing of the Ocean and Sea Ice 2003, 5233, Seiten 126-133. SPIE Remote Sensing Symposium, Barcelona, Spain, 8-12 September, 2003. ISBN 0-8194-5116-9.
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