• Catalogue PIGMA
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BGC-Argo float Deep Chlorophyll Maximum data combined with mesoscale eddies detection from TOEddies algorithm

This dataset contains bio-optical measurements and environmental parameters associated with  Deep Chlorophyll Maxima acquired by BGC-Argo profiling floats and matched with mesoscale eddies location from the Ocean Eddy Detection and Tracking Algorithms (TOEeddies) Atlas.

For each BGC-Argo profile the data files includes the World Meteorological Organistion (WMO) and profile numbers, geographical position (LON and LAT), the date of the profile in Julian Day (JULD); the qualification of the vertical profile (CARAC_BIO) as Deep Biomass Maximum (DBM), Deep photoAcclimation Maximum (DAM), or presenting no DCM (NO); at the depth of the maximum (DCM_DEPTH), the chlorophyll a concentration (CHLA_DCM, mg chla m-3 ) and the backscattering coefficient (BBP_DCM, m-1); the Mixed Layer Depth (MLD, m), the nitracline depth (NCLINE, m), the mean daily Available PAR in the Mixed Layer Depth (MIPAR_MLD, E m -1 d -1), the daily Available PAR at the nitracline depth (IPAR_NCLINE, E m-2 d-1); the location of the profile (CARAC_EDDY) as being inside the core/periphery (IN/_EN) of a cyclonic/anticyclonic eddy (DEP_/P_), or outside eddy influence (OUT); the processing level (MODE) of the ADT maps used for the TOEddies detection, either Near Real Time (-1), or Delayed Mode (1).

The qualification and processing of the BGC-Argo profiles, as well as the DCM detection (DAM/DBM/NO) and the estimation of the environmental parameters, were applied as described from Cornec, M., Claustre, H., Mignot, A., Guidi, L., Lacour, L., Poteau, A., D'Ortenzio, F., Gentili, B., Schmechtig, C.  (2021). Deep chlorophyll maxima in the global ocean: Occurrences, drivers and characteristics. Global Biogeochem Cycles 35. https://doi.org/10.1029/2020GB006759

Data relative to mesoscale eddies were produced by processing daily 0.25°x0.25° AVISO Absolute Dynamical Topography (maps produced by Ssalto/Duacs and distributed by Copernicus-Marine Environment Services) with the TOEddies algorithm (Laxenaire, R., Speich, S., Blanke, B., Chaigneau, A., Pegliasco, C., & Stegner, A. (2018). Anticyclonic Eddies Connecting the Western Boundaries of Indian and Atlantic Oceans. Journal of Geophysical Research: Oceans, 123(11), 7651–7677. https://doi.org/10.1029/2018JC014270 )

Simple

Date (Publication)
2020-07-26
Date (Revision)
2023-05-22
Other citation details
Cornec Marin, Laxenaire Rémi, Speich Sabrina, Claustre Hervé (2020). BGC-Argo float Deep Chlorophyll Maximum data combined with mesoscale eddies detection from TOEddies algorithm. SEANOE. https://doi.org/10.17882/76733
Credit

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); AtlantOS (European Union's Horizon 2020 research and innovation program, Grant 2014‐633211); NAOS (Agence Nationale de la Recherche, grant agreement J11R107-F); BGC-Argo-France (CNES-TOSCA).

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. (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System. Haili Wang is acknowledged for giving access to data from three floats in the South China Sea.The gridded altimeter products were produced by SSALTO/DUACS and distributed by the Copernicus Marine Environment Monitoring Service. The authors wish to thank the Argo Data Management team (ADMT) and the BGC-Argo Data Management team (BGC ADMT). Authors declare no conflict of interest.

Author
  Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, France - Cornec Marin
Author
  Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee,FL 32306-2741, USA - Laxenaire Rémi
Author
  ENS, CNRS, Laboratoire de Météorologie Dynamique, LMD-IPSL, UMR 8539, Ecole Polytechnique,F-75005 Paris, France - Speich Sabrina
Author
  Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, France - Claustre Hervé
Publisher
  SEANOE
Theme
  • BioGeoChemical-Argo floats
  • Deep Chlorophyll Maximum
  • Mesoscale eddies
  • Global Ocean
  • Absolute Dynamical Topography
  • Biological oceanography
  • Physical oceanography
ODATIS aggregation parameters and Essential Variable names
  • Pigments
SeaDataNet Parameter Disciplines
  • Biological oceanography
  • Physical oceanography
Research Infrastructure
  • IR-ARGO
National Services Observation
  • SNO-ARGO France
Type de jeux de donnée ODATIS
  • /Observational data/in-situ
Use limitation
CC-BY (Creative Commons - Attribution)
Use constraints
Other restrictions
Date (Publication)
2021
Publisher
  American Geophysical Union (AGU)
Author
  Cornec Marin
Author
  Laxenaire Rémi
Author
  Speich Sabrina
Author
  Claustre Hervé
Unique resource identifier
10.1029/2021GL093470
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2018
Publisher
  Amer Geophysical Union
Author
  LAXENAIRE R.
Author
  SPEICH S.
Author
  BLANKE BRUNO
Author
  CHAIGNEAU A.
Author
  PEGLIASCO C.
Author
  STEGNER A.
Unique resource identifier
10.1029/2018JC014270
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2025
Publisher
  SEANOE
Author
  Argo
Unique resource identifier
10.17882/42182
Association Type
Cross reference
Initiative Type
dataset
Date (Publication)
2024
Publisher
  SEANOE
Author
  Laxenaire Rémi
Author
  Guez Lionel
Author
  Chaigneau Alexis
Author
  Isic Mevludin
Author
  Ioannou Artemis
Author
  Speich Sabrina
Unique resource identifier
10.17882/102877
Association Type
Cross reference
Initiative Type
dataset
Metadata language
English
Topic category
  • Oceans
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Begin date
2010-05-30
End date
2020-07-26
Distribution format
  • CSV ( )

OnLine resource
Processed data ( WWW:DOWNLOAD-1.0-link--download )

BGC_Argo_DCM_TOEddies - 11 MB

OnLine resource
DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
OnLine resource
Seanoe ( rel-canonical )
Hierarchy level
Dataset
Statement
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°).
File identifier
seanoe:76733 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2023-05-22
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  Sorbonne Université, CNRS, Laboratoire d'Océanographie de Villefranche, LOV, F-06230, Villefranche-sur-Mer, France - Cornec Marin
 
 

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Spatial extent

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Keywords

Absolute Dynamical Topography BioGeoChemical-Argo floats Biological oceanography Deep Chlorophyll Maximum Global Ocean Mesoscale eddies Physical oceanography
National Services Observation
SNO-ARGO France
ODATIS aggregation parameters and Essential Variable names
Pigments
Research Infrastructure
IR-ARGO
Type de jeux de donnée ODATIS
/Observational data/in-situ

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