Impact of Altimeter Data Processing on Sea Level Studies

This study addresses the impact of satellite altimetry data processing on sea levelstudies at regional scale, with emphasis on the influence of various geophysical correctionsand satellite orbit on the structure of the derived interannual signal and sea level trend. Thework focuses on the analysis o...

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Published in:Sensors
Main Authors: M. Joana Fernandes, Susana Barbosa, Clara Lázaro
Format: Text
Language:English
Published: Molecular Diversity Preservation International 2006
Subjects:
Online Access:https://doi.org/10.3390/s6030131
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spelling ftmdpi:oai:mdpi.com:/1424-8220/6/3/131/ 2023-08-20T04:04:56+02:00 Impact of Altimeter Data Processing on Sea Level Studies M. Joana Fernandes Susana Barbosa Clara Lázaro 2006-03-06 application/pdf https://doi.org/10.3390/s6030131 EN eng Molecular Diversity Preservation International https://dx.doi.org/10.3390/s6030131 https://creativecommons.org/licenses/by-nc-sa/3.0/ Sensors; Volume 6; Issue 3; Pages: 131-163 Satellite Altimetry Sea Level Change Geophysical Corrections Text 2006 ftmdpi https://doi.org/10.3390/s6030131 2023-07-31T20:21:33Z This study addresses the impact of satellite altimetry data processing on sea levelstudies at regional scale, with emphasis on the influence of various geophysical correctionsand satellite orbit on the structure of the derived interannual signal and sea level trend. Thework focuses on the analysis of TOPEX data for a period of over twelve years, for threeregions in the North Atlantic: Tropical (0o≤φ≤25o), Sub-Tropical (25o≤φ≤50o) and Sub-Arctic (50o≤φ≤65o). For this analysis corrected sea level anomalies with respect to a meansea surface model have been derived from the GDR-Ms provided by AVISO by applyingvarious state-of-the-art models for the geophysical corrections. Results show that sea leveltrend determined from TOPEX altimetry is dependent on the adopted models for the majorgeophysical corrections. The main effects come from the sea state bias (SSB), and from theapplication or not of the inverse barometer (IB) correction. After an appropriate modellingof the TOPEX A/B bias, the two analysed SSB models induce small variations in sea leveltrend, from 0.0 to 0.2 mm/yr, with a small latitude dependence. The difference in sea leveltrend determined by a non IB-corrected series and an IB-corrected one has a strong regionaldependence with large differences in the shape of the interannual signals and in the derivedlinear 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 about0.1 mm/yr. The interannual signals of sea level time series derived with the NASA and theCNES orbits respectively, show a small departure in the middle of the series, which has noimpact on the derived sea level trend. These results strike the need for a continuousimprovement in the modelling of the various effects that influence the altimetermeasurement. Text Arctic North Atlantic MDPI Open Access Publishing Arctic Sensors 6 3 131 163
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Satellite Altimetry
Sea Level Change
Geophysical Corrections
spellingShingle Satellite Altimetry
Sea Level Change
Geophysical Corrections
M. Joana Fernandes
Susana Barbosa
Clara Lázaro
Impact of Altimeter Data Processing on Sea Level Studies
topic_facet Satellite Altimetry
Sea Level Change
Geophysical Corrections
description This study addresses the impact of satellite altimetry data processing on sea levelstudies at regional scale, with emphasis on the influence of various geophysical correctionsand satellite orbit on the structure of the derived interannual signal and sea level trend. Thework focuses on the analysis of TOPEX data for a period of over twelve years, for threeregions in the North Atlantic: Tropical (0o≤φ≤25o), Sub-Tropical (25o≤φ≤50o) and Sub-Arctic (50o≤φ≤65o). For this analysis corrected sea level anomalies with respect to a meansea surface model have been derived from the GDR-Ms provided by AVISO by applyingvarious state-of-the-art models for the geophysical corrections. Results show that sea leveltrend determined from TOPEX altimetry is dependent on the adopted models for the majorgeophysical corrections. The main effects come from the sea state bias (SSB), and from theapplication or not of the inverse barometer (IB) correction. After an appropriate modellingof the TOPEX A/B bias, the two analysed SSB models induce small variations in sea leveltrend, from 0.0 to 0.2 mm/yr, with a small latitude dependence. The difference in sea leveltrend determined by a non IB-corrected series and an IB-corrected one has a strong regionaldependence with large differences in the shape of the interannual signals and in the derivedlinear 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 about0.1 mm/yr. The interannual signals of sea level time series derived with the NASA and theCNES orbits respectively, show a small departure in the middle of the series, which has noimpact on the derived sea level trend. These results strike the need for a continuousimprovement in the modelling of the various effects that influence the altimetermeasurement.
format Text
author M. Joana Fernandes
Susana Barbosa
Clara Lázaro
author_facet M. Joana Fernandes
Susana Barbosa
Clara Lázaro
author_sort M. Joana Fernandes
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
publishDate 2006
url https://doi.org/10.3390/s6030131
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
genre_facet Arctic
North Atlantic
op_source Sensors; Volume 6; Issue 3; Pages: 131-163
op_relation https://dx.doi.org/10.3390/s6030131
op_rights https://creativecommons.org/licenses/by-nc-sa/3.0/
op_doi https://doi.org/10.3390/s6030131
container_title Sensors
container_volume 6
container_issue 3
container_start_page 131
op_container_end_page 163
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