Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica

Autores
Richter, Andreas Jorg; Ekaykin, Alexey A.; Willen, Matthias O.; Lipenkov, Vladimir Ya.; Groh, Andreas; Popov, Sergey V.; Scheinert, Mirko; Horwath, Martin; Dietrich, Reinhard
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The surface mass balance (SMB) is very low over the vast East Antarctic Plateau, for example in the Vostok region, where the mean SMB is on the order of 20–35 kg m-2 a-1. The observation and modeling of spatio-temporal SMB variations are equally challenging in this environment. Stake measurements carried out in the Vostok region provide SMB observations over half a century (1970–2019). This unique data set is compared with SMB estimations of the regional climate models RACMO2.3p2 (RACMO) and MAR3.11 (MAR). We focus on the SMB variations over time scales from months to decades. The comparison requires a rigorous assessment of the uncertainty in the stake observations and the spatial scale dependence of the temporal SMB variations. Our results show that RACMO estimates of annual and multi-year SMB agree well with the observations. The regression slope between modelled and observed temporal variations is close to 1.0 for this model. SMB simulations by MAR are affected by a positive bias which amounts to 6 kg m-2 a-1 at Vostok station and 2 kg m-2 a-1 along two stake profiles between Lake Vostok and Ridge B. None of the models is capable to reproduce the seasonal distributions of SMB and precipitation. Model SMB estimates are used in assessing the ice-mass balance and sea-level contribution of the Antarctic Ice Sheet by the input-output method. Our results provide insights into the uncertainty contribution of the SMB models to such assessments.
Fil: Richter, Andreas Jorg. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Departamento de Astrometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Technische Universität Dresden; Alemania
Fil: Ekaykin, Alexey A.. Arctic And Antarctic Research Institute; Rusia. Saint Petersburg State University; Rusia
Fil: Willen, Matthias O.. Technische Universität Dresden; Alemania
Fil: Lipenkov, Vladimir Ya.. Arctic And Antarctic Research Institute; Rusia
Fil: Groh, Andreas. Technische Universität Dresden; Alemania
Fil: Popov, Sergey V.. Polar Marine Geosurvey Expedition; Rusia. Saint Petersburg State University; Rusia
Fil: Scheinert, Mirko. Technische Universität Dresden; Alemania
Fil: Horwath, Martin. Technische Universität Dresden; Alemania
Fil: Dietrich, Reinhard. Technische Universität Dresden; Alemania
Materia
ANTARCTICA
REGIONAL CLIMATE MODELS
STAKE OBSERVATIONS
SURFACE MASS BALANCE
VOSTOK
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/164427
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/164427
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East AntarcticaRichter, Andreas JorgEkaykin, Alexey A.Willen, Matthias O.Lipenkov, Vladimir Ya.Groh, AndreasPopov, Sergey V.Scheinert, MirkoHorwath, MartinDietrich, ReinhardANTARCTICAREGIONAL CLIMATE MODELSSTAKE OBSERVATIONSSURFACE MASS BALANCEVOSTOKhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The surface mass balance (SMB) is very low over the vast East Antarctic Plateau, for example in the Vostok region, where the mean SMB is on the order of 20–35 kg m-2 a-1. The observation and modeling of spatio-temporal SMB variations are equally challenging in this environment. Stake measurements carried out in the Vostok region provide SMB observations over half a century (1970–2019). This unique data set is compared with SMB estimations of the regional climate models RACMO2.3p2 (RACMO) and MAR3.11 (MAR). We focus on the SMB variations over time scales from months to decades. The comparison requires a rigorous assessment of the uncertainty in the stake observations and the spatial scale dependence of the temporal SMB variations. Our results show that RACMO estimates of annual and multi-year SMB agree well with the observations. The regression slope between modelled and observed temporal variations is close to 1.0 for this model. SMB simulations by MAR are affected by a positive bias which amounts to 6 kg m-2 a-1 at Vostok station and 2 kg m-2 a-1 along two stake profiles between Lake Vostok and Ridge B. None of the models is capable to reproduce the seasonal distributions of SMB and precipitation. Model SMB estimates are used in assessing the ice-mass balance and sea-level contribution of the Antarctic Ice Sheet by the input-output method. Our results provide insights into the uncertainty contribution of the SMB models to such assessments.Fil: Richter, Andreas Jorg. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Departamento de Astrometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Technische Universität Dresden; AlemaniaFil: Ekaykin, Alexey A.. Arctic And Antarctic Research Institute; Rusia. Saint Petersburg State University; RusiaFil: Willen, Matthias O.. Technische Universität Dresden; AlemaniaFil: Lipenkov, Vladimir Ya.. Arctic And Antarctic Research Institute; RusiaFil: Groh, Andreas. Technische Universität Dresden; AlemaniaFil: Popov, Sergey V.. Polar Marine Geosurvey Expedition; Rusia. Saint Petersburg State University; RusiaFil: Scheinert, Mirko. Technische Universität Dresden; AlemaniaFil: Horwath, Martin. Technische Universität Dresden; AlemaniaFil: Dietrich, Reinhard. Technische Universität Dresden; AlemaniaFrontiers Media2021-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/164427Richter, Andreas Jorg; Ekaykin, Alexey A.; Willen, Matthias O.; Lipenkov, Vladimir Ya.; Groh, Andreas; et al.; Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica; Frontiers Media; Frontiers in Earth Science; 9; 5-2021; 1-142095-01952296-6463CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.669977info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/feart.2021.669977/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:16:18Zoai:ri.conicet.gov.ar:11336/164427instacron: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:34982025-09-29 10:16:18.398CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
title Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
spellingShingle Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
Richter, Andreas Jorg
ANTARCTICA
REGIONAL CLIMATE MODELS
STAKE OBSERVATIONS
SURFACE MASS BALANCE
VOSTOK
title_short Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
title_full Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
title_fullStr Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
title_full_unstemmed Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
title_sort Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica
dc.creator.none.fl_str_mv Richter, Andreas Jorg
Ekaykin, Alexey A.
Willen, Matthias O.
Lipenkov, Vladimir Ya.
Groh, Andreas
Popov, Sergey V.
Scheinert, Mirko
Horwath, Martin
Dietrich, Reinhard
author Richter, Andreas Jorg
author_facet Richter, Andreas Jorg
Ekaykin, Alexey A.
Willen, Matthias O.
Lipenkov, Vladimir Ya.
Groh, Andreas
Popov, Sergey V.
Scheinert, Mirko
Horwath, Martin
Dietrich, Reinhard
author_role author
author2 Ekaykin, Alexey A.
Willen, Matthias O.
Lipenkov, Vladimir Ya.
Groh, Andreas
Popov, Sergey V.
Scheinert, Mirko
Horwath, Martin
Dietrich, Reinhard
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ANTARCTICA
REGIONAL CLIMATE MODELS
STAKE OBSERVATIONS
SURFACE MASS BALANCE
VOSTOK
topic ANTARCTICA
REGIONAL CLIMATE MODELS
STAKE OBSERVATIONS
SURFACE MASS BALANCE
VOSTOK
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The surface mass balance (SMB) is very low over the vast East Antarctic Plateau, for example in the Vostok region, where the mean SMB is on the order of 20–35 kg m-2 a-1. The observation and modeling of spatio-temporal SMB variations are equally challenging in this environment. Stake measurements carried out in the Vostok region provide SMB observations over half a century (1970–2019). This unique data set is compared with SMB estimations of the regional climate models RACMO2.3p2 (RACMO) and MAR3.11 (MAR). We focus on the SMB variations over time scales from months to decades. The comparison requires a rigorous assessment of the uncertainty in the stake observations and the spatial scale dependence of the temporal SMB variations. Our results show that RACMO estimates of annual and multi-year SMB agree well with the observations. The regression slope between modelled and observed temporal variations is close to 1.0 for this model. SMB simulations by MAR are affected by a positive bias which amounts to 6 kg m-2 a-1 at Vostok station and 2 kg m-2 a-1 along two stake profiles between Lake Vostok and Ridge B. None of the models is capable to reproduce the seasonal distributions of SMB and precipitation. Model SMB estimates are used in assessing the ice-mass balance and sea-level contribution of the Antarctic Ice Sheet by the input-output method. Our results provide insights into the uncertainty contribution of the SMB models to such assessments.
Fil: Richter, Andreas Jorg. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Departamento de Astrometría; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Technische Universität Dresden; Alemania
Fil: Ekaykin, Alexey A.. Arctic And Antarctic Research Institute; Rusia. Saint Petersburg State University; Rusia
Fil: Willen, Matthias O.. Technische Universität Dresden; Alemania
Fil: Lipenkov, Vladimir Ya.. Arctic And Antarctic Research Institute; Rusia
Fil: Groh, Andreas. Technische Universität Dresden; Alemania
Fil: Popov, Sergey V.. Polar Marine Geosurvey Expedition; Rusia. Saint Petersburg State University; Rusia
Fil: Scheinert, Mirko. Technische Universität Dresden; Alemania
Fil: Horwath, Martin. Technische Universität Dresden; Alemania
Fil: Dietrich, Reinhard. Technische Universität Dresden; Alemania
description The surface mass balance (SMB) is very low over the vast East Antarctic Plateau, for example in the Vostok region, where the mean SMB is on the order of 20–35 kg m-2 a-1. The observation and modeling of spatio-temporal SMB variations are equally challenging in this environment. Stake measurements carried out in the Vostok region provide SMB observations over half a century (1970–2019). This unique data set is compared with SMB estimations of the regional climate models RACMO2.3p2 (RACMO) and MAR3.11 (MAR). We focus on the SMB variations over time scales from months to decades. The comparison requires a rigorous assessment of the uncertainty in the stake observations and the spatial scale dependence of the temporal SMB variations. Our results show that RACMO estimates of annual and multi-year SMB agree well with the observations. The regression slope between modelled and observed temporal variations is close to 1.0 for this model. SMB simulations by MAR are affected by a positive bias which amounts to 6 kg m-2 a-1 at Vostok station and 2 kg m-2 a-1 along two stake profiles between Lake Vostok and Ridge B. None of the models is capable to reproduce the seasonal distributions of SMB and precipitation. Model SMB estimates are used in assessing the ice-mass balance and sea-level contribution of the Antarctic Ice Sheet by the input-output method. Our results provide insights into the uncertainty contribution of the SMB models to such assessments.
publishDate 2021
dc.date.none.fl_str_mv 2021-05
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/11336/164427
Richter, Andreas Jorg; Ekaykin, Alexey A.; Willen, Matthias O.; Lipenkov, Vladimir Ya.; Groh, Andreas; et al.; Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica; Frontiers Media; Frontiers in Earth Science; 9; 5-2021; 1-14
2095-0195
2296-6463
CONICET Digital
CONICET
url http://hdl.handle.net/11336/164427
identifier_str_mv Richter, Andreas Jorg; Ekaykin, Alexey A.; Willen, Matthias O.; Lipenkov, Vladimir Ya.; Groh, Andreas; et al.; Surface Mass Balance Models Vs. Stake Observations: A Comparison in the Lake Vostok Region, Central East Antarctica; Frontiers Media; Frontiers in Earth Science; 9; 5-2021; 1-14
2095-0195
2296-6463
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.669977
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/feart.2021.669977/full
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
dc.publisher.none.fl_str_mv Frontiers Media
publisher.none.fl_str_mv Frontiers Media
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str 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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score 13.070432

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