Quantifying observational errors in Biogeochemical‐Argo oxygen, nitrate, and chlorophyll a concentrations.

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Date
2019Author
Mignot, A.
D'Ortenzio, F.
Taillandier, V.
Cossarini, G.
Salon, S.
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Biogeochemical (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‐square error and 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 concentrations data have an
additive bias of 2.9 ± 5.5 μmol/kg, 0.46 ± 0.07 μmol/kg, and −0.06 ± 0.02 mg/m3, respectively. The
root‐mean‐square error is evaluated at 5.1 ± 0.8 μmol/kg, 0.25 ± 0.07 μmol/kg, and 0.03 ± 0.01 mg/m3.
Additional studies should determine whether these values are applicable to the global ocean.....
Journal
Geophysical Research LettersVolume
46Page Range
pp.4330–4337.Document Language
enSustainable Development Goals (SDG)
14.aEssential Ocean Variables (EOV)
OxygenNutrients
Maturity Level
Pilot or DemonstratedDOI Original
https://doi.org/10.1029/ 2018GL080541Citation
Mignot, A., D'Ortenzio, F., Taillandier,V., Cossarini, G. and Salon, S. (2019) Quantifying observational errors in Biogeochemical‐Argo oxygen, nitrate,and chlorophyll a concentrations. Geophysical Research Letters, 46, pp.4330–4337. DOI: https://doi.org/10.1029/2018GL080541Collections
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