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Development and validation of the new ProvBioII float ArchiMer
Leymarie, Edouard; Poteau, Antoine; Andre, Xavier; Besson, F; Brault, Patrice; Claustre, Herve; David, Arnaud; D'Ortenzio, Fabrizio; Dufour, A; Lavigne, Heloise; Le Reste, Serge; Le Traon, Pierre-yves; Migon, Christophe; Nogre, David; Obolensky, G; Penkerc'H, C; Sagot, Jerome; Schaeffer, Christophe; Schmechtig, C; Taillandier, V.
In the last ten years, a productive collaboration has grown between the Laboratoire d’Océanographie de Villefranche (LOV), NKE and IFREMER to implement biogeochemical sensors on profiling floats. A first project (2003) was dedicated to the design of the so-called ProvBio floats (models A and B) that consisted of a PROVOR-CTS3 float instrumented with three new optical sensors: a Wetlabs transmissometer (C-Rover), a 3-wavelength Satlantic radiometer (OCR-503) and an “ECO3” Wetlabs sensor, measuring chlorophyll-a fluorescence, colored dissolved organic matter and particle backscattering coefficients (see First Success of ProvBio floats, Coriolis Letter n°5). Then, the integration of biogeochemical sensors continued in the framework of ProNuts project (2009,...
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Ano: 2013 URL: http://archimer.ifremer.fr/doc/00219/32989/31438.pdf
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Quantifying observational errors in Biogeochemical‐Argo oxygen, nitrate and chlorophyll a concentrations ArchiMer
Mignot, A; D'Ortenzio, F; Taillandier, V; Cossarini, G; Salon, S.
BGC‐Argo floats observations are becoming a major data source for assimilation into and constraining of ocean biogeochemical models. An important prerequisite for a successful synthesis between models and observations is the characterization of the observational errors in BGC‐Argo float data. The root‐mean‐squared error, multiplicative and additive biases in quality‐controlled data sets of oxygen, nitrate and chlorophyll a concentrations collected with 17 BGC‐Argo floats in the Mediterranean Sea between 2013 and 2017 are assessed using the triple collocation analysis. The analysis suggests that BGC‐Argo float oxygen, nitrate and chlorophyll a data suffer from an additive bias of 2.9± 5.5 μmol kg‐1, 0.46± 0.07 μmol kg‐1 and ‐0.06 ± 0.02 mg m‐3,...
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00486/59745/62845.pdf
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