Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling
- Autores
- Ruiz, María Guillermina; Lutz, Vivian Alicia; Frouin, Robert
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Chromophoric dissolved organic matter (CDOM) is an important light-absorbing component of seawater. Yet spectrophotometric determinations of CDOM absorption from existing laboratory methods differ substantially. Since CDOM absorption in the visible usually remains below the detection limit of traditional spectrophotometers, its spectral shape has been modeled from the ultra-violet, by applying a single exponential model (SEM) from which a unique parameter, the spectral slope S, is derived. The usefulness of SEM and S is controversial, due to the lack of agreement on the fitting procedures and the poor ability of the SEM to fit equally well all CDOM absorption spectra. In view of this, empirical factors affecting the measurement of CDOM absorption coefficient by spectrophotometry were tested. No differences in CDOM spectra obtained by filtration through 0.2 μm membrane or 0.7 μm GFF filters were found for either high (Case II) or low (Case I) CDOM content situations. Two spectral shape groups were distinguished after applying a multivariate approach to 145 spectra from the South Atlantic, Strait of Magallanes, and South Pacific. The two groups were associated mainly with coastal and oceanic waters. A segmented regression model (SRM) with two free breakpoints better represented the CDOM absorption spectra than a SEM. The SRM fitted both CDOM spectral shape groups with accuracy. This concatenated exponential model is useful for understanding CDOM dynamics and developing improved satellite ocean-color algorithms.
Fil: Ruiz, María Guillermina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; Argentina
Fil: Lutz, Vivian Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; Argentina
Fil: Frouin, Robert. University of California at San Diego; Estados Unidos - Materia
-
Chromophoric Dissolved Organic Matter
Filter Types
Piecewise Regression Analysis
South Atlantic
South Pacific - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/55733
Ver los metadatos del registro completo
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Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modelingRuiz, María GuillerminaLutz, Vivian AliciaFrouin, RobertChromophoric Dissolved Organic MatterFilter TypesPiecewise Regression AnalysisSouth AtlanticSouth Pacifichttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Chromophoric dissolved organic matter (CDOM) is an important light-absorbing component of seawater. Yet spectrophotometric determinations of CDOM absorption from existing laboratory methods differ substantially. Since CDOM absorption in the visible usually remains below the detection limit of traditional spectrophotometers, its spectral shape has been modeled from the ultra-violet, by applying a single exponential model (SEM) from which a unique parameter, the spectral slope S, is derived. The usefulness of SEM and S is controversial, due to the lack of agreement on the fitting procedures and the poor ability of the SEM to fit equally well all CDOM absorption spectra. In view of this, empirical factors affecting the measurement of CDOM absorption coefficient by spectrophotometry were tested. No differences in CDOM spectra obtained by filtration through 0.2 μm membrane or 0.7 μm GFF filters were found for either high (Case II) or low (Case I) CDOM content situations. Two spectral shape groups were distinguished after applying a multivariate approach to 145 spectra from the South Atlantic, Strait of Magallanes, and South Pacific. The two groups were associated mainly with coastal and oceanic waters. A segmented regression model (SRM) with two free breakpoints better represented the CDOM absorption spectra than a SEM. The SRM fitted both CDOM spectral shape groups with accuracy. This concatenated exponential model is useful for understanding CDOM dynamics and developing improved satellite ocean-color algorithms.Fil: Ruiz, María Guillermina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; ArgentinaFil: Lutz, Vivian Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; ArgentinaFil: Frouin, Robert. University of California at San Diego; Estados UnidosElsevier Science2017-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55733Ruiz, María Guillermina; Lutz, Vivian Alicia; Frouin, Robert; Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling; Elsevier Science; Marine Chemistry; 194; 8-2017; 10-210304-4203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.marchem.2017.03.012info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304420317301275info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:05:15Zoai:ri.conicet.gov.ar:11336/55733instacron: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 13:05:16.064CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
title |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
spellingShingle |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling Ruiz, María Guillermina Chromophoric Dissolved Organic Matter Filter Types Piecewise Regression Analysis South Atlantic South Pacific |
title_short |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
title_full |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
title_fullStr |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
title_full_unstemmed |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
title_sort |
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling |
dc.creator.none.fl_str_mv |
Ruiz, María Guillermina Lutz, Vivian Alicia Frouin, Robert |
author |
Ruiz, María Guillermina |
author_facet |
Ruiz, María Guillermina Lutz, Vivian Alicia Frouin, Robert |
author_role |
author |
author2 |
Lutz, Vivian Alicia Frouin, Robert |
author2_role |
author author |
dc.subject.none.fl_str_mv |
Chromophoric Dissolved Organic Matter Filter Types Piecewise Regression Analysis South Atlantic South Pacific |
topic |
Chromophoric Dissolved Organic Matter Filter Types Piecewise Regression Analysis South Atlantic South Pacific |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Chromophoric dissolved organic matter (CDOM) is an important light-absorbing component of seawater. Yet spectrophotometric determinations of CDOM absorption from existing laboratory methods differ substantially. Since CDOM absorption in the visible usually remains below the detection limit of traditional spectrophotometers, its spectral shape has been modeled from the ultra-violet, by applying a single exponential model (SEM) from which a unique parameter, the spectral slope S, is derived. The usefulness of SEM and S is controversial, due to the lack of agreement on the fitting procedures and the poor ability of the SEM to fit equally well all CDOM absorption spectra. In view of this, empirical factors affecting the measurement of CDOM absorption coefficient by spectrophotometry were tested. No differences in CDOM spectra obtained by filtration through 0.2 μm membrane or 0.7 μm GFF filters were found for either high (Case II) or low (Case I) CDOM content situations. Two spectral shape groups were distinguished after applying a multivariate approach to 145 spectra from the South Atlantic, Strait of Magallanes, and South Pacific. The two groups were associated mainly with coastal and oceanic waters. A segmented regression model (SRM) with two free breakpoints better represented the CDOM absorption spectra than a SEM. The SRM fitted both CDOM spectral shape groups with accuracy. This concatenated exponential model is useful for understanding CDOM dynamics and developing improved satellite ocean-color algorithms. Fil: Ruiz, María Guillermina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; Argentina Fil: Lutz, Vivian Alicia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Subsede Instituto Nacional de Investigación y Desarrollo; Argentina Fil: Frouin, Robert. University of California at San Diego; Estados Unidos |
description |
Chromophoric dissolved organic matter (CDOM) is an important light-absorbing component of seawater. Yet spectrophotometric determinations of CDOM absorption from existing laboratory methods differ substantially. Since CDOM absorption in the visible usually remains below the detection limit of traditional spectrophotometers, its spectral shape has been modeled from the ultra-violet, by applying a single exponential model (SEM) from which a unique parameter, the spectral slope S, is derived. The usefulness of SEM and S is controversial, due to the lack of agreement on the fitting procedures and the poor ability of the SEM to fit equally well all CDOM absorption spectra. In view of this, empirical factors affecting the measurement of CDOM absorption coefficient by spectrophotometry were tested. No differences in CDOM spectra obtained by filtration through 0.2 μm membrane or 0.7 μm GFF filters were found for either high (Case II) or low (Case I) CDOM content situations. Two spectral shape groups were distinguished after applying a multivariate approach to 145 spectra from the South Atlantic, Strait of Magallanes, and South Pacific. The two groups were associated mainly with coastal and oceanic waters. A segmented regression model (SRM) with two free breakpoints better represented the CDOM absorption spectra than a SEM. The SRM fitted both CDOM spectral shape groups with accuracy. This concatenated exponential model is useful for understanding CDOM dynamics and developing improved satellite ocean-color algorithms. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08 |
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/11336/55733 Ruiz, María Guillermina; Lutz, Vivian Alicia; Frouin, Robert; Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling; Elsevier Science; Marine Chemistry; 194; 8-2017; 10-21 0304-4203 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/55733 |
identifier_str_mv |
Ruiz, María Guillermina; Lutz, Vivian Alicia; Frouin, Robert; Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling; Elsevier Science; Marine Chemistry; 194; 8-2017; 10-21 0304-4203 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.marchem.2017.03.012 info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304420317301275 |
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 |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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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1842980188927819776 |
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12.993085 |