BioGeoChemical-Argo float data complemented with ocean-colour satellite matchups of variables related to the detection of coccolithophore blooms

Date 2020
Temporal extent 2012-11-01 -2018-12-31
Author(s) Terrats LouisORCID1, 2, Claustre HervéORCID1, Cornec MarinORCID1, Mangin Antoine2, Neukermans GrietORCID3, 4
Contributor(s) Poteau AntoineORCID, Schmechtig CatherineORCID, Sauzede RaphaëlleORCID
Affiliation(s) 1 : Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, France
2 : ACRI-ST, F-06904 Sophia Antipolis, France
3 : Ghent University, Biology Department, MarSens Research Group, Krijgslaan 281 – S8, 9000 Ghent, Belgium
4 : Flanders Marine Institute (VLIZ), InnovOcean site, Wandelaarkaai 7, 8400, Ostend, Belgium
DOI 10.17882/76521
Publisher SEANOE
Keyword(s) BioGeoChemical-Argo floats, Bio-optics, Satellite matchups, Coccolithophore blooms, Global ocean, Ocean surface

This dataset contains bio-optical measurements from BioGeoChemical-Argo (BGC-Argo) profiling floats complemented with ocean-colour satellite matchups of variables related to the detection of coccolithophore blooms dominated by Emiliania huxleyi.

BGC-Argo float data cover the global ocean from November 2012 to December 2018 and include measurements of the particulate backscattering coefficient (BBP_float in m-1), the concentration of Chlorophyll-a (CHLA_float in mg m-3), and the particulate beam attenuation coefficient (CP_float in m-1) with data processing and quality control described in the manuscript entitled “Detection of coccolithophore blooms with BioGeoChemical-Argo floats” submitted to Geophysical Research Letters. The data represent near-surface ocean conditions, calculated as the average value in the top 15m of the water column.

Daily ocean-colour satellite data were downloaded from the GlobColour project ( with a spatial resolution of 4km and matched with every BGC-Argo float observation by using a 5x5 pixel box and a 9-day temporal window. For each float observation, we extracted concurrent satellite data of the concentrations of Particulate Inorganic Carbon (PIC_sat in mmol m-3) and Particulate Organic Carbon (POC_sat in mmol m-3), from which we derived the proportion of PIC_sat to the total particulate carbon concentration (PIC_POC_sat in % and defined as PIC_sat / [PIC_sat+POC_sat]).

Coccolithophore bloom periods were identified using annual times series of PIC_sat and PIC_POC_sat at each profile location as described in the submitted manuscript, and the column “inside_coccolithophore_bloom” reports the float observations occurring inside such blooms.

Licence CC-BY
Acknowledgements This study is a contribution to the following projects: remOcean (European Research Council, Grant agreement 246777); REFINE (European Research Council, Grant agreement 834177); SOCLIM (BNP Foundation); BGC-Argo-France (CNES-TOSCA); CarbOcean (European Research Council, Grant agreement 853516). Griet Neukermans was supported by a European Union Horizon 2020 Marie Sklodowska-Curie grant (no. 749949). Louis Terrats was supported by a CIFRE fellowship funded by ACRI-st (no. 2018/1815). All BGC-Argo data are available at These data were collected and made freely available by the International Argo Program and the national programs that contribute to it (, The Argo Program is part of the Global Ocean Observing System. We thank A. Poteau, R. Sauzede, and C. Schmechtig for BGC-Argo data management and L. Beaufort, N. Briggs, and H. Loisel for fruitful discussions. Authors declare no conflict of interest.
Sensor metadata

The float sensors were the ECO Triplet (Three Channel Sensor; WET Labs, Inc., USA) measuring the chlorophyll-a fluorescence and the scattering of light at 700 nm and an angle of 124°; and the C-Rover beam transmissometer (WET Labs, Inc., USA) measuring the attenuation of light at 660 nm.

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Data 1 MB CSV Quality controlled data Open access
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How to cite 

Terrats Louis, Claustre Hervé, Cornec Marin, Mangin Antoine, Neukermans Griet (2020). BioGeoChemical-Argo float data complemented with ocean-colour satellite matchups of variables related to the detection of coccolithophore blooms. SEANOE.

In addition to properly cite this dataset, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :

Terrats L., Claustre H., Cornec M., Mangin A., Neukermans G. (2020). Detection of Coccolithophore Blooms With BioGeoChemical‐Argo Floats. Geophysical Research Letters, 47(23), e2020GL090559 (10p.). Publisher's official version : , Open Access version :