Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions

24 pages, 15 figures, 3 tables

Detalles Bibliográficos
Autores: Olmedo, Estrella, Gabarró, Carolina, González Gambau, Verónica, Martínez, Justino, Ballabrera-Poy, Joaquim, Turiel, Antonio, Portabella, Marcos, Fournier, Séverine, Lee, Tong
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/172804
Acceso en línea:http://hdl.handle.net/10261/172804
Access Level:acceso abierto
Palabra clave:Remote sensing
Quality assessment
Data processing
Arctic rivers
SMOS
Arctic Ocean
Sea surface salinity
id ES_7cdc5305ff49cbf6037cf25a42ea046a
oai_identifier_str oai:digital.csic.es:10261/172804
network_acronym_str ES
network_name_str España
repository_id_str
spelling Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic RegionsOlmedo, EstrellaGabarró, CarolinaGonzález Gambau, VerónicaMartínez, JustinoBallabrera-Poy, JoaquimTuriel, AntonioPortabella, MarcosFournier, SéverineLee, TongRemote sensingQuality assessmentData processingArctic riversSMOSArctic OceanSea surface salinity24 pages, 15 figures, 3 tablesThis paper aims to present and assess the quality of seven years (2011–2017) of 25 km nine-day Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) objectively analyzed maps in the Arctic and sub-Arctic oceans ( 50∘ N– 90∘ N). The SMOS SSS maps presented in this work are an improved version of the preliminary three-year dataset generated and freely distributed by the Barcelona Expert Center. In this new version, a time-dependent bias correction has been applied to mitigate the seasonal bias that affected the previous SSS maps. An extensive database of in situ data (Argo floats and thermosalinograph measurements) has been used for assessing the accuracy of this product. The standard deviation of the difference between the new SMOS SSS maps and Argo SSS ranges from 0.25 and 0.35. The major features of the inter-annual SSS variations observed by the thermosalinographs are also captured by the SMOS SSS maps. However, the validation in some regions of the Arctic Ocean has not been feasible because of the lack of in situ data. In those regions, qualitative comparisons with SSS provided by models and the remotely sensed SSS provided by Aquarius and SMAP have been performed. Despite the differences between SMOS and SMAP, both datasets show consistent SSS variations with respect to the model and the river discharge in situ data, but present a larger dynamic range than that of the model. This result suggests that, in those regions, the use of the remotely sensed SSS may help to improve the modelsThis work was supported by the Spanish R+D plan under projects L-BAND (ESP2017-89463-C3-1-R) and PROMISES (ESP2015-67549-C3-2) and from European Space Agency by means of the contracts SMOS ESL L2OS, CCI+ SSS and Arctic+ SSSPeer ReviewedMultidisciplinary Digital Publishing InstituteEuropean Space AgencyAgencia Estatal de Investigación (España)Ministerio de Economía y Competitividad (España)Ministerio de Ciencia, Innovación y Universidades (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2018201820182018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/172804reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#ESP2017-89463-C3-1-R/AEI/10.13039/501100011033info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2015-67549-C3-2info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/ESP2017-89463-C3-1-Rhttps://dx.doi.org/10.3390/rs10111772Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1728042026-05-22T06:33:51Z
dc.title.none.fl_str_mv Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
title Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
spellingShingle Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
Olmedo, Estrella
Remote sensing
Quality assessment
Data processing
Arctic rivers
SMOS
Arctic Ocean
Sea surface salinity
title_short Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
title_full Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
title_fullStr Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
title_full_unstemmed Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
title_sort Seven Years of SMOS Sea Surface Salinity at High Latitudes: Variability in Arctic and Sub-Arctic Regions
dc.creator.none.fl_str_mv Olmedo, Estrella
Gabarró, Carolina
González Gambau, Verónica
Martínez, Justino
Ballabrera-Poy, Joaquim
Turiel, Antonio
Portabella, Marcos
Fournier, Séverine
Lee, Tong
author Olmedo, Estrella
author_facet Olmedo, Estrella
Gabarró, Carolina
González Gambau, Verónica
Martínez, Justino
Ballabrera-Poy, Joaquim
Turiel, Antonio
Portabella, Marcos
Fournier, Séverine
Lee, Tong
author_role author
author2 Gabarró, Carolina
González Gambau, Verónica
Martínez, Justino
Ballabrera-Poy, Joaquim
Turiel, Antonio
Portabella, Marcos
Fournier, Séverine
Lee, Tong
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv European Space Agency
Agencia Estatal de Investigación (España)
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia, Innovación y Universidades (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Remote sensing
Quality assessment
Data processing
Arctic rivers
SMOS
Arctic Ocean
Sea surface salinity
topic Remote sensing
Quality assessment
Data processing
Arctic rivers
SMOS
Arctic Ocean
Sea surface salinity
description 24 pages, 15 figures, 3 tables
publishDate 2018
dc.date.none.fl_str_mv 2018
2018
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/172804
url http://hdl.handle.net/10261/172804
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
ESP2017-89463-C3-1-R/AEI/10.13039/501100011033
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2015-67549-C3-2
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/ESP2017-89463-C3-1-R
https://dx.doi.org/10.3390/rs10111772
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411620959027200
score 15,81155

Similares en LA Referencia