Sea-Level Trend at the Southernmost Region of South America
- Autores
- Dragani, Walter Cesar; D'onofrio, Enrique Eduardo; Alonso, Guadalupe; Fiore, Monica Maria Elisa; Oreiro, Fernando Ariel
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Tide gauge data were used to estimate the sea-level trend at the Ushuaia tidal station (548490 S, 688130 W), located at the southernmost city in the world. The Ushuaia tidal station began working in 1951 but was relocated in 1970 approximately 900 m from its original location. Special care was taken in linking both data series to compose a single and reliable sea-level record gathered from 1952 to 2005. The least-square regression line for annual mean sea level (relative to the benchmark) was fitted, and the computed slope that resulted was not significantly different from zero. A low-pass filter was applied to the annual sea-level data series to smooth the constituents of tide longer than 1 year, which could mislead the trend of the mean sea level. The trend of the best fit line computed from the filtered data was 0.2 mm y1, which was not significantly different from zero. Taking into account the Peltier glacial isostatic adjustment prediction, a corrected sea-level trend was estimated in þ1 mm y1 for the Ushuaia tidal station. The sea-level trend was also
estimated by processing the altimetry data series gathered at five satellite track crossings located in the adjacent ocean (analyzed period 1992?2011). Resulting sea-level trends computed from altimetry data presented high spatial variability (from 0.9 to þ3.1 mm y1), which is likely associated with the rather short length of the processed data series. The authors of this technical communication foresee that these results will contribute to our knowledge of sea-level change in
the Southern Hemisphere, especially southward of 50°S, where long sea-level data series are considerably scarce.
Fil: Dragani, Walter Cesar. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: D'onofrio, Enrique Eduardo. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Alonso, Guadalupe. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Fiore, Monica Maria Elisa. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Oreiro, Fernando Ariel. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
Global Climate Change
Sea-Level Trend
Tidal Gauge Data Series
Altimetry Data Series
Ushuaia Bay
Argentina - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/33874
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Sea-Level Trend at the Southernmost Region of South AmericaDragani, Walter CesarD'onofrio, Enrique EduardoAlonso, GuadalupeFiore, Monica Maria ElisaOreiro, Fernando ArielGlobal Climate ChangeSea-Level TrendTidal Gauge Data SeriesAltimetry Data SeriesUshuaia BayArgentinahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Tide gauge data were used to estimate the sea-level trend at the Ushuaia tidal station (548490 S, 688130 W), located at the southernmost city in the world. The Ushuaia tidal station began working in 1951 but was relocated in 1970 approximately 900 m from its original location. Special care was taken in linking both data series to compose a single and reliable sea-level record gathered from 1952 to 2005. The least-square regression line for annual mean sea level (relative to the benchmark) was fitted, and the computed slope that resulted was not significantly different from zero. A low-pass filter was applied to the annual sea-level data series to smooth the constituents of tide longer than 1 year, which could mislead the trend of the mean sea level. The trend of the best fit line computed from the filtered data was 0.2 mm y1, which was not significantly different from zero. Taking into account the Peltier glacial isostatic adjustment prediction, a corrected sea-level trend was estimated in þ1 mm y1 for the Ushuaia tidal station. The sea-level trend was also<br />estimated by processing the altimetry data series gathered at five satellite track crossings located in the adjacent ocean (analyzed period 1992?2011). Resulting sea-level trends computed from altimetry data presented high spatial variability (from 0.9 to þ3.1 mm y1), which is likely associated with the rather short length of the processed data series. The authors of this technical communication foresee that these results will contribute to our knowledge of sea-level change in<br />the Southern Hemisphere, especially southward of 50°S, where long sea-level data series are considerably scarce.Fil: Dragani, Walter Cesar. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: D'onofrio, Enrique Eduardo. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Alonso, Guadalupe. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Fiore, Monica Maria Elisa. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Oreiro, Fernando Ariel. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaCoastal Education & Research Foundation2014-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33874Dragani, Walter Cesar; D'onofrio, Enrique Eduardo; Alonso, Guadalupe; Fiore, Monica Maria Elisa; Oreiro, Fernando Ariel; Sea-Level Trend at the Southernmost Region of South America; Coastal Education & Research Foundation; Journal of Coastal Research; 30; 1; 1-2014; 210-2130749-02081551-5036CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-12-00091.1info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.2112/JCOASTRES-D-12-00091.1#info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:05:28Zoai:ri.conicet.gov.ar:11336/33874instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:05:28.457CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Sea-Level Trend at the Southernmost Region of South America |
title |
Sea-Level Trend at the Southernmost Region of South America |
spellingShingle |
Sea-Level Trend at the Southernmost Region of South America Dragani, Walter Cesar Global Climate Change Sea-Level Trend Tidal Gauge Data Series Altimetry Data Series Ushuaia Bay Argentina |
title_short |
Sea-Level Trend at the Southernmost Region of South America |
title_full |
Sea-Level Trend at the Southernmost Region of South America |
title_fullStr |
Sea-Level Trend at the Southernmost Region of South America |
title_full_unstemmed |
Sea-Level Trend at the Southernmost Region of South America |
title_sort |
Sea-Level Trend at the Southernmost Region of South America |
dc.creator.none.fl_str_mv |
Dragani, Walter Cesar D'onofrio, Enrique Eduardo Alonso, Guadalupe Fiore, Monica Maria Elisa Oreiro, Fernando Ariel |
author |
Dragani, Walter Cesar |
author_facet |
Dragani, Walter Cesar D'onofrio, Enrique Eduardo Alonso, Guadalupe Fiore, Monica Maria Elisa Oreiro, Fernando Ariel |
author_role |
author |
author2 |
D'onofrio, Enrique Eduardo Alonso, Guadalupe Fiore, Monica Maria Elisa Oreiro, Fernando Ariel |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Global Climate Change Sea-Level Trend Tidal Gauge Data Series Altimetry Data Series Ushuaia Bay Argentina |
topic |
Global Climate Change Sea-Level Trend Tidal Gauge Data Series Altimetry Data Series Ushuaia Bay Argentina |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Tide gauge data were used to estimate the sea-level trend at the Ushuaia tidal station (548490 S, 688130 W), located at the southernmost city in the world. The Ushuaia tidal station began working in 1951 but was relocated in 1970 approximately 900 m from its original location. Special care was taken in linking both data series to compose a single and reliable sea-level record gathered from 1952 to 2005. The least-square regression line for annual mean sea level (relative to the benchmark) was fitted, and the computed slope that resulted was not significantly different from zero. A low-pass filter was applied to the annual sea-level data series to smooth the constituents of tide longer than 1 year, which could mislead the trend of the mean sea level. The trend of the best fit line computed from the filtered data was 0.2 mm y1, which was not significantly different from zero. Taking into account the Peltier glacial isostatic adjustment prediction, a corrected sea-level trend was estimated in þ1 mm y1 for the Ushuaia tidal station. The sea-level trend was also<br />estimated by processing the altimetry data series gathered at five satellite track crossings located in the adjacent ocean (analyzed period 1992?2011). Resulting sea-level trends computed from altimetry data presented high spatial variability (from 0.9 to þ3.1 mm y1), which is likely associated with the rather short length of the processed data series. The authors of this technical communication foresee that these results will contribute to our knowledge of sea-level change in<br />the Southern Hemisphere, especially southward of 50°S, where long sea-level data series are considerably scarce. Fil: Dragani, Walter Cesar. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: D'onofrio, Enrique Eduardo. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Alonso, Guadalupe. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Fiore, Monica Maria Elisa. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Oreiro, Fernando Ariel. Ministerio de Defensa. Armada Argentina. Servicio de Hidrografía Naval; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Tide gauge data were used to estimate the sea-level trend at the Ushuaia tidal station (548490 S, 688130 W), located at the southernmost city in the world. The Ushuaia tidal station began working in 1951 but was relocated in 1970 approximately 900 m from its original location. Special care was taken in linking both data series to compose a single and reliable sea-level record gathered from 1952 to 2005. The least-square regression line for annual mean sea level (relative to the benchmark) was fitted, and the computed slope that resulted was not significantly different from zero. A low-pass filter was applied to the annual sea-level data series to smooth the constituents of tide longer than 1 year, which could mislead the trend of the mean sea level. The trend of the best fit line computed from the filtered data was 0.2 mm y1, which was not significantly different from zero. Taking into account the Peltier glacial isostatic adjustment prediction, a corrected sea-level trend was estimated in þ1 mm y1 for the Ushuaia tidal station. The sea-level trend was also<br />estimated by processing the altimetry data series gathered at five satellite track crossings located in the adjacent ocean (analyzed period 1992?2011). Resulting sea-level trends computed from altimetry data presented high spatial variability (from 0.9 to þ3.1 mm y1), which is likely associated with the rather short length of the processed data series. The authors of this technical communication foresee that these results will contribute to our knowledge of sea-level change in<br />the Southern Hemisphere, especially southward of 50°S, where long sea-level data series are considerably scarce. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/33874 Dragani, Walter Cesar; D'onofrio, Enrique Eduardo; Alonso, Guadalupe; Fiore, Monica Maria Elisa; Oreiro, Fernando Ariel; Sea-Level Trend at the Southernmost Region of South America; Coastal Education & Research Foundation; Journal of Coastal Research; 30; 1; 1-2014; 210-213 0749-0208 1551-5036 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/33874 |
identifier_str_mv |
Dragani, Walter Cesar; D'onofrio, Enrique Eduardo; Alonso, Guadalupe; Fiore, Monica Maria Elisa; Oreiro, Fernando Ariel; Sea-Level Trend at the Southernmost Region of South America; Coastal Education & Research Foundation; Journal of Coastal Research; 30; 1; 1-2014; 210-213 0749-0208 1551-5036 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-12-00091.1 info:eu-repo/semantics/altIdentifier/url/http://www.bioone.org/doi/abs/10.2112/JCOASTRES-D-12-00091.1# |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Coastal Education & Research Foundation |
publisher.none.fl_str_mv |
Coastal Education & Research Foundation |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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12.993085 |