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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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 |
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MDPI Open Access Publishing |
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language |
English |
topic |
Satellite Altimetry Sea Level Change Geophysical Corrections |
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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 |
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Sensors |
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6 |
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3 |
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131 |
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163 |
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