A species-dependent bio-optical model of case I waters for global ocean color processing
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| Title: | A species-dependent bio-optical model of case I waters for global ocean color processing |
|---|---|
| Authors: | Alvain, S.1, Moulin, C.1 Cyril.Moulin@cea.fr, Dandonneau, Y.2, Loisel, H.3, Bréon, F.-M.1 |
| Source: | Deep-Sea Research Part I, Oceanographic Research Papers. May2006, Vol. 53 Issue 5, p917-925. 9p. |
| Subjects: | Optical oceanography, Phytoplankton, Remote sensing, Ocean color |
| Abstract: | Abstract: The PHYSAT method, which enables identification of four different phytoplankton groups from their impact on the normalized water-leaving radiance (nLw) spectra, is applied to coincident in situ measurements of both chlorophyll concentration (Chl ) and nLw. Observations show that measurements acquired in waters dominated by haptophytes, diatoms and Synechococcus-like cyanobacteria have optical properties that deviate significantly from the mean OC4V4 bio-optical model, which is currently used as the standard for global ocean color processing. A specific OC4v4-like relationship, i.e., Chl as a 4th-order polynomial of the “maximum band ratio”, was fitted for each dominant phytoplankton group identified by PHYSAT. The resulting OC4-SD bio-optical model thus starts from a classification of the dominant phytoplankton group, followed by a species-dependent estimate of Chl . It has been applied to global daily SEAWIFS data of the year 2001. Monthly mean maps of Chl derived from OC4-SD or OC4v4 show large regional differences that can reach 50% at high latitudes. The new algorithm leads to lower concentrations in regions where the standard model retrievals are known to be too high, such as the Mediterranean Sea. Conversely, higher concentrations are retrieved in regions dominated by diatom blooms, such as the northern North Atlantic in summer, where previous studies have demonstrated a low bias in standard SEAWIFS Chl . [Copyright &y& Elsevier] |
| Copyright of Deep-Sea Research Part I, Oceanographic Research Papers is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 20959534 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A species-dependent bio-optical model of case I waters for global ocean color processing – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alvain%2C+S%2E%22">Alvain, S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moulin%2C+C%2E%22">Moulin, C.</searchLink><relatesTo>1</relatesTo><i> Cyril.Moulin@cea.fr</i><br /><searchLink fieldCode="AR" term="%22Dandonneau%2C+Y%2E%22">Dandonneau, Y.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Loisel%2C+H%2E%22">Loisel, H.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Bréon%2C+F%2E-M%2E%22">Bréon, F.-M.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Deep-Sea+Research+Part+I%2C+Oceanographic+Research+Papers%22">Deep-Sea Research Part I, Oceanographic Research Papers</searchLink>. May2006, Vol. 53 Issue 5, p917-925. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Optical+oceanography%22">Optical oceanography</searchLink><br /><searchLink fieldCode="DE" term="%22Phytoplankton%22">Phytoplankton</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+color%22">Ocean color</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: The PHYSAT method, which enables identification of four different phytoplankton groups from their impact on the normalized water-leaving radiance (nLw) spectra, is applied to coincident in situ measurements of both chlorophyll concentration (Chl ) and nLw. Observations show that measurements acquired in waters dominated by haptophytes, diatoms and Synechococcus-like cyanobacteria have optical properties that deviate significantly from the mean OC4V4 bio-optical model, which is currently used as the standard for global ocean color processing. A specific OC4v4-like relationship, i.e., Chl as a 4th-order polynomial of the “maximum band ratio”, was fitted for each dominant phytoplankton group identified by PHYSAT. The resulting OC4-SD bio-optical model thus starts from a classification of the dominant phytoplankton group, followed by a species-dependent estimate of Chl . It has been applied to global daily SEAWIFS data of the year 2001. Monthly mean maps of Chl derived from OC4-SD or OC4v4 show large regional differences that can reach 50% at high latitudes. The new algorithm leads to lower concentrations in regions where the standard model retrievals are known to be too high, such as the Mediterranean Sea. Conversely, higher concentrations are retrieved in regions dominated by diatom blooms, such as the northern North Atlantic in summer, where previous studies have demonstrated a low bias in standard SEAWIFS Chl . [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Deep-Sea Research Part I, Oceanographic Research Papers is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.dsr.2006.01.011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 917 Subjects: – SubjectFull: Optical oceanography Type: general – SubjectFull: Phytoplankton Type: general – SubjectFull: Remote sensing Type: general – SubjectFull: Ocean color Type: general Titles: – TitleFull: A species-dependent bio-optical model of case I waters for global ocean color processing Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alvain, S. – PersonEntity: Name: NameFull: Moulin, C. – PersonEntity: Name: NameFull: Dandonneau, Y. – PersonEntity: Name: NameFull: Loisel, H. – PersonEntity: Name: NameFull: Bréon, F.-M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2006 Type: published Y: 2006 Identifiers: – Type: issn-print Value: 09670637 Numbering: – Type: volume Value: 53 – Type: issue Value: 5 Titles: – TitleFull: Deep-Sea Research Part I, Oceanographic Research Papers Type: main |
| ResultId | 1 |
