The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters

Autores
Lavigne, Héloïse; Dogliotti, Ana Inés; Doxaran, David; Shen, Fang; Castagna, Alexandre; Beck, Matthew; Vanhellemont, Quinten; Sun, Xuerong; Gossn, Juan Ignacio; Renosh, Pannimpullath Remanan; Sabbe, Koen; Vansteenwegen, Dieter; Ruddick, Kevin
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze estuary in China, and the Gironde estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina), and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022) at 10.1594/PANGAEA.944313.
Fil: Lavigne, Héloïse. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Doxaran, David. Centre National de la Recherche Scientifique; Francia. Sorbonne University; Francia
Fil: Shen, Fang. East China Normal University; China
Fil: Castagna, Alexandre. University of Ghent; Bélgica
Fil: Beck, Matthew. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Vanhellemont, Quinten. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Sun, Xuerong. East China Normal University; China
Fil: Gossn, Juan Ignacio. European Organisation for the Exploitation of Meteorological Satellites; Alemania. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Renosh, Pannimpullath Remanan. Centre National de la Recherche Scientifique; Francia. Sorbonne University; Francia
Fil: Sabbe, Koen. University of Ghent; Bélgica
Fil: Vansteenwegen, Dieter. Flanders Marine Institute; Bélgica
Fil: Ruddick, Kevin. Royal Belgian Institute of Natural Sciences; Bélgica
Materia
Bio-optical properties
Rio de la Plata
Extremely turbid waters
Turbidity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/218539
Acceder
id CONICETDig_18a84207c225e3f04f7d6fb0e62dc656
oai_identifier_str oai:ri.conicet.gov.ar:11336/218539
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid watersLavigne, HéloïseDogliotti, Ana InésDoxaran, DavidShen, FangCastagna, AlexandreBeck, MatthewVanhellemont, QuintenSun, XuerongGossn, Juan IgnacioRenosh, Pannimpullath RemananSabbe, KoenVansteenwegen, DieterRuddick, KevinBio-optical propertiesRio de la PlataExtremely turbid watersTurbidityhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze estuary in China, and the Gironde estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina), and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022) at 10.1594/PANGAEA.944313.Fil: Lavigne, Héloïse. Royal Belgian Institute of Natural Sciences; BélgicaFil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Doxaran, David. Centre National de la Recherche Scientifique; Francia. Sorbonne University; FranciaFil: Shen, Fang. East China Normal University; ChinaFil: Castagna, Alexandre. University of Ghent; BélgicaFil: Beck, Matthew. Royal Belgian Institute of Natural Sciences; BélgicaFil: Vanhellemont, Quinten. Royal Belgian Institute of Natural Sciences; BélgicaFil: Sun, Xuerong. East China Normal University; ChinaFil: Gossn, Juan Ignacio. European Organisation for the Exploitation of Meteorological Satellites; Alemania. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; ArgentinaFil: Renosh, Pannimpullath Remanan. Centre National de la Recherche Scientifique; Francia. Sorbonne University; FranciaFil: Sabbe, Koen. University of Ghent; BélgicaFil: Vansteenwegen, Dieter. Flanders Marine Institute; BélgicaFil: Ruddick, Kevin. Royal Belgian Institute of Natural Sciences; BélgicaCopernicus Publications2022-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/218539Lavigne, Héloïse; Dogliotti, Ana Inés; Doxaran, David; Shen, Fang; Castagna, Alexandre; et al.; The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters; Copernicus Publications; Earth System Science Data; 14; 11; 11-2022; 4935-49471866-35081866-3516CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-4935-2022info:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/14/4935/2022/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:08:17Zoai:ri.conicet.gov.ar:11336/218539instacron: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 13:08:17.669CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
title The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
spellingShingle The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
Lavigne, Héloïse
Bio-optical properties
Rio de la Plata
Extremely turbid waters
Turbidity
title_short The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
title_full The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
title_fullStr The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
title_full_unstemmed The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
title_sort The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters
dc.creator.none.fl_str_mv Lavigne, Héloïse
Dogliotti, Ana Inés
Doxaran, David
Shen, Fang
Castagna, Alexandre
Beck, Matthew
Vanhellemont, Quinten
Sun, Xuerong
Gossn, Juan Ignacio
Renosh, Pannimpullath Remanan
Sabbe, Koen
Vansteenwegen, Dieter
Ruddick, Kevin
author Lavigne, Héloïse
author_facet Lavigne, Héloïse
Dogliotti, Ana Inés
Doxaran, David
Shen, Fang
Castagna, Alexandre
Beck, Matthew
Vanhellemont, Quinten
Sun, Xuerong
Gossn, Juan Ignacio
Renosh, Pannimpullath Remanan
Sabbe, Koen
Vansteenwegen, Dieter
Ruddick, Kevin
author_role author
author2 Dogliotti, Ana Inés
Doxaran, David
Shen, Fang
Castagna, Alexandre
Beck, Matthew
Vanhellemont, Quinten
Sun, Xuerong
Gossn, Juan Ignacio
Renosh, Pannimpullath Remanan
Sabbe, Koen
Vansteenwegen, Dieter
Ruddick, Kevin
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Bio-optical properties
Rio de la Plata
Extremely turbid waters
Turbidity
topic Bio-optical properties
Rio de la Plata
Extremely turbid waters
Turbidity
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze estuary in China, and the Gironde estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina), and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022) at 10.1594/PANGAEA.944313.
Fil: Lavigne, Héloïse. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Dogliotti, Ana Inés. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Doxaran, David. Centre National de la Recherche Scientifique; Francia. Sorbonne University; Francia
Fil: Shen, Fang. East China Normal University; China
Fil: Castagna, Alexandre. University of Ghent; Bélgica
Fil: Beck, Matthew. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Vanhellemont, Quinten. Royal Belgian Institute of Natural Sciences; Bélgica
Fil: Sun, Xuerong. East China Normal University; China
Fil: Gossn, Juan Ignacio. European Organisation for the Exploitation of Meteorological Satellites; Alemania. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
Fil: Renosh, Pannimpullath Remanan. Centre National de la Recherche Scientifique; Francia. Sorbonne University; Francia
Fil: Sabbe, Koen. University of Ghent; Bélgica
Fil: Vansteenwegen, Dieter. Flanders Marine Institute; Bélgica
Fil: Ruddick, Kevin. Royal Belgian Institute of Natural Sciences; Bélgica
description Because of the large diversity of case 2 waters ranging from extremely absorbing to extremely scattering waters and the complexity of light transfer due to external terrestrial inputs, retrieving main biogeochemical parameters such as chlorophyll-a or suspended particulate matter concentration in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from 1 to 700 FNU and from 0.9 to 180 mg m-3 respectively, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms. The HYPERMAQ dataset provides biogeochemical parameters (i.e. turbidity, pigment and chlorophyll-a concentration, suspended particulate matter), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze estuary in China, and the Gironde estuary in France), inland (i.e. the Spuikom in Belgium and Chascomùs lake in Argentina), and coastal waters (Belgium). The dataset is available from Lavigne et al. (2022) at 10.1594/PANGAEA.944313.
publishDate 2022
dc.date.none.fl_str_mv 2022-11
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/11336/218539
Lavigne, Héloïse; Dogliotti, Ana Inés; Doxaran, David; Shen, Fang; Castagna, Alexandre; et al.; The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters; Copernicus Publications; Earth System Science Data; 14; 11; 11-2022; 4935-4947
1866-3508
1866-3516
CONICET Digital
CONICET
url http://hdl.handle.net/11336/218539
identifier_str_mv Lavigne, Héloïse; Dogliotti, Ana Inés; Doxaran, David; Shen, Fang; Castagna, Alexandre; et al.; The HYPERMAQ dataset: Bio-optical properties of moderately to extremely turbid waters; Copernicus Publications; Earth System Science Data; 14; 11; 11-2022; 4935-4947
1866-3508
1866-3516
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-14-4935-2022
info:eu-repo/semantics/altIdentifier/url/https://essd.copernicus.org/articles/14/4935/2022/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
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
_version_ 1842980389348442112
score 12.993085

Publicaciones similares