@article{fdi:010035692,
  title = {{A} species-dependent bio-optical model of case {I} waters for global ocean color processing},
  author = {{A}lvain, {S}. and {M}oulin, {C}. and {D}andonneau, {Y}ves and {L}oisel, {H}. and {B}reon, {F}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {PHYSAT} method, which enables identification of four different phytoplankton groups from their impact on the normalized water-leaving radiance (n{L}w) spectra, is applied to coinciclent in situ measurements of both chlorophyll a concentration ({C}hl a) and n{L}w. {O}bservations show that measurements acquired in waters dominated by haptophytes, diatoms and {S}ynechococcus-like cyanobacteria have optical properties that deviate significantly from the mean {OC}4{V}4 bio-optical model, which is currently used as the standard for global ocean color processing. {A} specific {OC}4v4-like relationship, i.e., {C}hl a as a 4th-order polynomial of the "maximum band ratio". was fitted for each dominant phytoplankton group identified by {PHYSAT}. {T}he resulting {OC}4-{SD} bio-optical model thus starts from a classification of the dominant phytoplankton group, followed by a species-dependent estimate of {C}hl a. {I}t has been applied to global daily {SEAWIFS} data of the year 2001. {M}onthly mean maps of {C}hi a derived from {OC}4-{SD} or {OC}4v4 show large regional differences that can reach 50% at high latitudes. {T}he new algorithm leads to lower concentrations in regions where the standard model retrievals are known to be too high, such as the {M}editerranean {S}ea. {C}onversely, higher concentrations are retrieved in regions dominated by diatom blooms, such as the northern {N}orth {A}tlantic in summer, where previous studies have demonstrated a low bias in standard {SEAWIFS} {C}hl a. (c) 2006 {E}lsevier {L}td. {A}ll rights reserved.},
  keywords = {ocean color ; remote sensing ; oceanic primary production},
  booktitle = {},
  journal = {{D}eep {S}ea {R}esearch {P}art {I} {O}ceanographic {R}esearch {P}apers},
  volume = {53},
  numero = {5},
  pages = {917--925},
  ISSN = {0967-0637},
  year = {2006},
  DOI = {10.1016/j.dsr.2006.01.011},
  URL = {https://www.documentation.ird.fr/hor/fdi:010035692},
}