BioGeoChemical-Argo float data complemented with ocean-colour satellite matchups of variables related to the detection of coccolithophore blooms
|Temporal extent||2012-11-01 -2018-12-31|
|Author(s)||Terrats Louis1, 2, Claustre Hervé1, Cornec Marin1, Mangin Antoine2, Neukermans Griet3, 4|
|Contributor(s)||Poteau Antoine, Schmechtig Catherine, Sauzede Raphaëlle|
|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
|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 (ftp://ftp.hermes.acri.fr) 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.
|Acknowledgments||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 ftp://ftp.ifremer.fr/ifremer/argo/dac/. These data were collected and made freely available by the International Argo Program and the national programs that contribute to it (http://www.argo.ucsd.edu, http://argo.jcommops.org). 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.|
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.