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dc.contributor.author
Ruiz, María Guillermina
dc.contributor.author
Lutz, Vivian Alicia
dc.contributor.author
Frouin, Robert
dc.date.available
2018-08-15T19:37:49Z
dc.date.issued
2017-08
dc.identifier.citation
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
dc.identifier.issn
0304-4203
dc.identifier.uri
http://hdl.handle.net/11336/55733
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Chromophoric Dissolved Organic Matter
dc.subject
Filter Types
dc.subject
Piecewise Regression Analysis
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South Atlantic
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South Pacific
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Spectral absorption by marine chromophoric dissolved organic matter: Laboratory determination and piecewise regression modeling
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-08-15T14:24:02Z
dc.journal.volume
194
dc.journal.pagination
10-21
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
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
dc.description.fil
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
dc.description.fil
Fil: Frouin, Robert. University of California at San Diego; Estados Unidos
dc.journal.title
Marine Chemistry
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1016/j.marchem.2017.03.012
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0304420317301275
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