Sea-Level Trend at the Southernmost Region of South America

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...

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Detalles Bibliográficos
Autores: Dragani, Walter Cesar, D'onofrio, Enrique Eduardo, Alonso, Guadalupe, Fiore, Monica Maria Elisa, Oreiro, Fernando Ariel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/33874
Acceso en línea:http://hdl.handle.net/11336/33874
Access Level:acceso abierto
Palabra clave:Global Climate Change
Sea-Level Trend
Tidal Gauge Data Series
Altimetry Data Series
Ushuaia Bay
Argentina
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
id AR_f1a462a5efcbb8aa9e9a06409ba0fcba
oai_identifier_str oai:ri.conicet.gov.ar:11336/33874
network_acronym_str AR
network_name_str Argentina
repository_id_str
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
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
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
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
topic Global Climate Change
Sea-Level Trend
Tidal Gauge Data Series
Altimetry Data Series
Ushuaia Bay
Argentina
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
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
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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
_version_ 1799195024272916480
spelling 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 Técnicas2024-05-08T13:41:40Zoai: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:34982024-05-08 13:41:40.371CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
score 15.228081

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