Impact of Altimeter Data Processing on Sea Level Studies

This study addresses the impact of satellite altimetry data processing on sea level studies at regional scale, with emphasis on the influence of various geophysical corrections and satellite orbit on the structure of the derived interannual signal and sea level trend. The work focuses on the analysi...

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Main Authors: Fernandes, M. Joana, Barbosa, Susana, Lázaro, Clara
Format: Text
Language:English
Published: Molecular Diversity Preservation International (MDPI) 2006
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871948
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spelling ftpubmed:oai:pubmedcentral.nih.gov:3871948 2023-05-15T15:14:44+02:00 Impact of Altimeter Data Processing on Sea Level Studies Fernandes, M. Joana Barbosa, Susana Lázaro, Clara 2006-03-06 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871948 en eng Molecular Diversity Preservation International (MDPI) http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871948 © 2006 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes. Full Research Paper Text 2006 ftpubmed 2013-12-29T01:42:27Z This study addresses the impact of satellite altimetry data processing on sea level studies at regional scale, with emphasis on the influence of various geophysical corrections and satellite orbit on the structure of the derived interannual signal and sea level trend. The work focuses on the analysis of TOPEX data for a period of over twelve years, for three regions in the North Atlantic: Tropical (0°≤φ≤25°), Sub-Tropical (25°≤φ≤50°) and Sub-Arctic (50°≤φ≤65°). For this analysis corrected sea level anomalies with respect to a mean sea surface model have been derived from the GDR-Ms provided by AVISO by applying various state-of-the-art models for the geophysical corrections. Results show that sea level trend determined from TOPEX altimetry is dependent on the adopted models for the major geophysical corrections. The main effects come from the sea state bias (SSB), and from the application or not of the inverse barometer (IB) correction. After an appropriate modelling of the TOPEX A/B bias, the two analysed SSB models induce small variations in sea level trend, from 0.0 to 0.2 mm/yr, with a small latitude dependence. The difference in sea level trend determined by a non IB-corrected series and an IB-corrected one has a strong regional dependence with large differences in the shape of the interannual signals and in the derived linear trends. The use of two different drift models for the TOPEX Microwave Radiometer (TMR) has a small but non negligible effect on the North Atlantic sea level trend of about 0.1 mm/yr. The interannual signals of sea level time series derived with the NASA and the CNES orbits respectively, show a small departure in the middle of the series, which has no impact on the derived sea level trend. These results strike the need for a continuous improvement in the modelling of the various effects that influence the altimeter measurement. Text Arctic North Atlantic PubMed Central (PMC) Arctic
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Full Research Paper
spellingShingle Full Research Paper
Fernandes, M. Joana
Barbosa, Susana
Lázaro, Clara
Impact of Altimeter Data Processing on Sea Level Studies
topic_facet Full Research Paper
description This study addresses the impact of satellite altimetry data processing on sea level studies at regional scale, with emphasis on the influence of various geophysical corrections and satellite orbit on the structure of the derived interannual signal and sea level trend. The work focuses on the analysis of TOPEX data for a period of over twelve years, for three regions in the North Atlantic: Tropical (0°≤φ≤25°), Sub-Tropical (25°≤φ≤50°) and Sub-Arctic (50°≤φ≤65°). For this analysis corrected sea level anomalies with respect to a mean sea surface model have been derived from the GDR-Ms provided by AVISO by applying various state-of-the-art models for the geophysical corrections. Results show that sea level trend determined from TOPEX altimetry is dependent on the adopted models for the major geophysical corrections. The main effects come from the sea state bias (SSB), and from the application or not of the inverse barometer (IB) correction. After an appropriate modelling of the TOPEX A/B bias, the two analysed SSB models induce small variations in sea level trend, from 0.0 to 0.2 mm/yr, with a small latitude dependence. The difference in sea level trend determined by a non IB-corrected series and an IB-corrected one has a strong regional dependence with large differences in the shape of the interannual signals and in the derived linear trends. The use of two different drift models for the TOPEX Microwave Radiometer (TMR) has a small but non negligible effect on the North Atlantic sea level trend of about 0.1 mm/yr. The interannual signals of sea level time series derived with the NASA and the CNES orbits respectively, show a small departure in the middle of the series, which has no impact on the derived sea level trend. These results strike the need for a continuous improvement in the modelling of the various effects that influence the altimeter measurement.
format Text
author Fernandes, M. Joana
Barbosa, Susana
Lázaro, Clara
author_facet Fernandes, M. Joana
Barbosa, Susana
Lázaro, Clara
author_sort Fernandes, M. Joana
title Impact of Altimeter Data Processing on Sea Level Studies
title_short Impact of Altimeter Data Processing on Sea Level Studies
title_full Impact of Altimeter Data Processing on Sea Level Studies
title_fullStr Impact of Altimeter Data Processing on Sea Level Studies
title_full_unstemmed Impact of Altimeter Data Processing on Sea Level Studies
title_sort impact of altimeter data processing on sea level studies
publisher Molecular Diversity Preservation International (MDPI)
publishDate 2006
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871948
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
genre_facet Arctic
North Atlantic
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871948
op_rights © 2006 by MDPI (http://www.mdpi.org).
Reproduction is permitted for noncommercial purposes.
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