FN Archimer Export Format PT J TI Multivariate approach for the retrieval of phytoplankton size structure from measured light absorption spectra in the Mediterranean Sea (BOUSSOLE site) BT AF ORGANELLI, Emanuele BRICAUD, Annick ANTOINE, David UITZ, Julia AS 1:1;2:;3:;4:; FF 1:;2:;3:;4:; C1 CNRS, Lab Oceanog Villefranche, UMR 7093, F-06238 Villefranche Sur Mer, France. Univ Paris 06, F-06238 Villefranche Sur Mer, France. C2 CNRS, FRANCE UNIV PARIS 06, FRANCE IF 1.649 TC 47 TU Centre national de la recherche scientifique Université Pierre et Marie Curie UR https://archimer.ifremer.fr/doc/00185/29655/28031.pdf LA English DT Article CR ALMOFRONT 2 - LEG 1 ALMOFRONT 2 - LEG 2 BIOSOPE BOUSSOLE 2003 BOUSSOLE 2004 BOUSSOLE 2005 BOUSSOLE 2006 BOUSSOLE 2007 BOUSSOLE 2008 BOUSSOLE 2009 BOUSSOLE 2010 BOUSSOLE 2011 BOUSSOLE 2012 BOUSSOLE-AOPEX EUMELI 3 LEG 1 EUMELI 3 LEG 2 FLUPAC MINOS OLIPAC POMME 3 - LEG 1 POMME 3 - LEG 2 PROSOPE BO L'Atalante Téthys II Le Suroît Anchored Buoy Thalassa AB Models based on the multivariate partial least squares (PLS) regression technique are developed for the retrieval of phytoplankton size structure from measured light absorption spectra (BOUSSOLE site, northwestern Mediterranean Sea). PLS-models trained with data from the Mediterranean Sea showed good accuracy in retrieving, over the nine-year BOUSSOLE time series, the concentrations of total chlorophyll a [Tchl a], of the sum of seven diagnostic pigments and of pigments associated with micro, nano, and picophytoplankton size classes separately. PLS-models trained using either total particle or phytoplankton absorption spectra performed similarly, and both reproduced seasonal variations of biomass and size classes derived by high performance liquid chromatography. Satisfactory retrievals were also obtained using PLS-models trained with a data set including various locations of the world's oceans, with however a lower accuracy. These results open the way to an application of this method to absorption spectra derived from hyperspectral and field satellite radiance measurements. PY 2013 PD APR SO Applied Optics SN 1559-128X PU Optical Soc Amer VL 52 IS 11 UT 000317473000006 BP 2257 EP 2273 DI http://dx.doi.org/10.1364/AO.52.002257 ID 29655 ER EF