GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.coldregions.2019.102840 http://hdl.handle.net/11449/187837 |
Resumo: | Southern Patagonia Icefield (SPI) glaciers have been retreating and shrinking at high rates in recent decades, significantly contributing to sea level rise. In spite of the importance of the SPI, very little is known about its mass balance apart from models lacking in situ validation, such as snow accumulation/ablation at high altitude. On the ground, snow changes are normally measured with stakes planted on snow frequently visited. Automation is possible by the use of ranging sensors, based on laser, radar or ultrasound, installed as part of automatic weather stations. In this study, we use for the first time in the SPI the technique of Global Positioning System Reflectometry (GPS-R) for measuring snow level changes. GPS-R uses observations from GPS satellites tracked by GNSS (Global Navigation Satellite Systems) ground stations. GNSS stations, typically installed according to geodetic network standards for geodynamics purposes (e.g., glacial isostatic rebound studies), inadvertently also record the signal reflected on the snow surface in the antenna surroundings. The GPS-R snow level variations were compared to an ultrasonic sensor installed nearby, operating simultaneously between October 2015 and February 2016. During this period the two datasets exhibited a correlation of 0.91 and an RMS of 17 cm, confirming that GNSS receivers can be used not only for geodetic purposes but also for snow accumulation/ablation monitoring in SPI. |
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GPS reflectometry study detecting snow height changes in the Southern Patagonia IcefieldGPSReflectometrySnow estimationSouth Patagonian IcefieldSouthern Patagonia Icefield (SPI) glaciers have been retreating and shrinking at high rates in recent decades, significantly contributing to sea level rise. In spite of the importance of the SPI, very little is known about its mass balance apart from models lacking in situ validation, such as snow accumulation/ablation at high altitude. On the ground, snow changes are normally measured with stakes planted on snow frequently visited. Automation is possible by the use of ranging sensors, based on laser, radar or ultrasound, installed as part of automatic weather stations. In this study, we use for the first time in the SPI the technique of Global Positioning System Reflectometry (GPS-R) for measuring snow level changes. GPS-R uses observations from GPS satellites tracked by GNSS (Global Navigation Satellite Systems) ground stations. GNSS stations, typically installed according to geodetic network standards for geodynamics purposes (e.g., glacial isostatic rebound studies), inadvertently also record the signal reflected on the snow surface in the antenna surroundings. The GPS-R snow level variations were compared to an ultrasonic sensor installed nearby, operating simultaneously between October 2015 and February 2016. During this period the two datasets exhibited a correlation of 0.91 and an RMS of 17 cm, confirming that GNSS receivers can be used not only for geodetic purposes but also for snow accumulation/ablation monitoring in SPI.Fondo Nacional de Desarrollo Científico y TecnológicoDepartamento de Geomática Instituto Argentino de Nivología Glaciología y Ciencias Ambientales (IANIGLA) Centro Científico y Tecnológico (CCT)-CONICETCentro de Estudios Científicos (CECs)Departamento de Geografía Universidad de ChileDepartment of Geodesy Federal University of Rio Grande do SulUniversidade Estadual Paulista UnespUniversidade Estadual Paulista UnespFondo Nacional de Desarrollo Científico y Tecnológico: 1171832Centro Científico y Tecnológico (CCT)-CONICETCentro de Estudios Científicos (CECs)Universidad de ChileFederal University of Rio Grande do SulUniversidade Estadual Paulista (Unesp)Durand, M.Rivera, A.Nievinski, F.Lenzano, M. G.Monico, J.F. Galera [UNESP]Paredes, P.Lenzano, L.2019-10-06T15:48:43Z2019-10-06T15:48:43Z2019-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.coldregions.2019.102840Cold Regions Science and Technology, v. 166.0165-232Xhttp://hdl.handle.net/11449/18783710.1016/j.coldregions.2019.1028402-s2.0-85068499718Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCold Regions Science and Technologyinfo:eu-repo/semantics/openAccess2021-10-22T18:56:37Zoai:repositorio.unesp.br:11449/187837Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-22T18:56:37Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
title |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
spellingShingle |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield Durand, M. GPS Reflectometry Snow estimation South Patagonian Icefield |
title_short |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
title_full |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
title_fullStr |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
title_full_unstemmed |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
title_sort |
GPS reflectometry study detecting snow height changes in the Southern Patagonia Icefield |
author |
Durand, M. |
author_facet |
Durand, M. Rivera, A. Nievinski, F. Lenzano, M. G. Monico, J.F. Galera [UNESP] Paredes, P. Lenzano, L. |
author_role |
author |
author2 |
Rivera, A. Nievinski, F. Lenzano, M. G. Monico, J.F. Galera [UNESP] Paredes, P. Lenzano, L. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Centro Científico y Tecnológico (CCT)-CONICET Centro de Estudios Científicos (CECs) Universidad de Chile Federal University of Rio Grande do Sul Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Durand, M. Rivera, A. Nievinski, F. Lenzano, M. G. Monico, J.F. Galera [UNESP] Paredes, P. Lenzano, L. |
dc.subject.por.fl_str_mv |
GPS Reflectometry Snow estimation South Patagonian Icefield |
topic |
GPS Reflectometry Snow estimation South Patagonian Icefield |
description |
Southern Patagonia Icefield (SPI) glaciers have been retreating and shrinking at high rates in recent decades, significantly contributing to sea level rise. In spite of the importance of the SPI, very little is known about its mass balance apart from models lacking in situ validation, such as snow accumulation/ablation at high altitude. On the ground, snow changes are normally measured with stakes planted on snow frequently visited. Automation is possible by the use of ranging sensors, based on laser, radar or ultrasound, installed as part of automatic weather stations. In this study, we use for the first time in the SPI the technique of Global Positioning System Reflectometry (GPS-R) for measuring snow level changes. GPS-R uses observations from GPS satellites tracked by GNSS (Global Navigation Satellite Systems) ground stations. GNSS stations, typically installed according to geodetic network standards for geodynamics purposes (e.g., glacial isostatic rebound studies), inadvertently also record the signal reflected on the snow surface in the antenna surroundings. The GPS-R snow level variations were compared to an ultrasonic sensor installed nearby, operating simultaneously between October 2015 and February 2016. During this period the two datasets exhibited a correlation of 0.91 and an RMS of 17 cm, confirming that GNSS receivers can be used not only for geodetic purposes but also for snow accumulation/ablation monitoring in SPI. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T15:48:43Z 2019-10-06T15:48:43Z 2019-10-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.coldregions.2019.102840 Cold Regions Science and Technology, v. 166. 0165-232X http://hdl.handle.net/11449/187837 10.1016/j.coldregions.2019.102840 2-s2.0-85068499718 |
url |
http://dx.doi.org/10.1016/j.coldregions.2019.102840 http://hdl.handle.net/11449/187837 |
identifier_str_mv |
Cold Regions Science and Technology, v. 166. 0165-232X 10.1016/j.coldregions.2019.102840 2-s2.0-85068499718 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cold Regions Science and Technology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965513097412608 |