• Catalogue PIGMA
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AMAZOMIX cruise - Glider dataset

Glider data associated with the AMAZOMIX cruise. The Amazon shelf encompasses a variety of physical processes, such as fluvial inputs, coastal currents, mesoscale, filaments, tides, internal waves and upwelling, influencing nutrient concentrations, chlorophyll and suspended matter. They also affect energy, salt and heat balances; parameters that condition physical/biogeochemical interactions and ecosystem functioning, from bacteria to plankton to fish resources. In particular, internal tidal waves are very energetic in this region. They impact biogeochemical cycles via the vertical mixture induced by their dissipation or vertical movements induced by their propagation. They thus allow a significant input of nutriments into the euphotic layer enhancing primary production, as observed on the surface from watercolour data. Internal tidal waves could thus influence the biological pump and the carbon cycle. In addition, overall marine biodiversity of the region, from bacteria to fish is not well described. The connectivity of species in the tropical Atlantic is also still an open question. The Caribbean region is by far more bio-diverse than the Brazilian one. One of the hypotheses is that the Amazon plume, which can extend up to 3,000 km off the mouth, would constitute a barrier for some organisms. The Amazon Shelf is thus an ideal experimental laboratory to study the impact of physical processes on the structure and function of neritic and oceanic marine ecosystems.

In this context, the objective of the multidisciplinary AMAZOMIX survey was to study the impact of the Amazon River plume, internal tides and associated turbulent mixing, on marine ecosystem in contrasting regions off the Amazon shelf. For that purpose, the multidisciplinary AMAZOMIX project brings together physicists, biogeochemists, bioopticians and biologists. The sampling strategy consists in the simultaneous acquisition of a comprehensive set of environmental and biological compartments, including micro-organisms (bacteria, phyto and zooplankton) and higher trophic levels (micronekton, demersal and pelagic fish). AMAZOMIX is the first campaign to develop this multi-disciplinary approach off the Amazon shelf. In situ results will be analysed in interaction with digital tools and data, modelling (1/36°, with and without tides, 1/12° coupled) and satellite data analyses.

The glider was equipped with:

- a Seabird pumped CTD (temperature, pressure, conductivity),

- an Aanderaa optode (dissolved oxygen),

- and a WetLabs optical puck (chlorophyll-a fluorescence, CDOM, turbidity).

Sensors sampled every 5 seconds, corresponding to a vertical resolution of approximately 1 m. Between surfacings, the glider estimated its position using navigation sensors (compass), allowing computation of mean dive-averaged horizontal currents by comparing dead-reckoned positions with GPS fixes.

Data were processed using the GEOMAR Matlab Toolbox (Krahmann, 2023), which included correction for thermal lag following Garau et al. (2011). Temperature and salinity were converted to conservative temperature and absolute salinity using the Gibbs Seawater Python library (McDougall & Barker, 2011). Profiles were validated against reference CTD casts at the deployment site.

Simple

Date (Publication)
2025-08
Date (Revision)
2025-10-23
Other citation details
M'Hamdi Amine, Bosse Anthony, Testor Pierre, Mortier Laurent, Rousselot Pierre, Costa Da Silva Alex, Araujo Moacyr, Koch-Larrouy Ariane, Bertrand Arnaud (2025). AMAZOMIX cruise - Glider dataset. SEANOE. https://doi.org/10.17882/108213
Credit
We thank the *Flotte Océanographique Française* and the officers and crew of the R/V ANTEA for their contribution to the success of the AMAZOMIX cruise, as well as all scientists involved in data and water sample collection for their valuable support during and after the cruise. We acknowledge the Brazilian authorities for authorizing the survey, the *Parc National d’Instruments* (DT-INSU) for providing instruments during the cruise and support in data analysis, and US-IMAGO from IRD for their assistance during the cruise and for biogeochemical data analysis.
Author
  LEGOS, Université de Toulouse, CNRS, OMP, IRD, Toulouse, France. Departamento de Oceanografia, Universidade Federal de Pernambuco (DOCEAN/UFPE), Recife, Brazil. CECI CNRS/Cerfacs/IRD, Université de Toulouse, Toulouse, France. - M'hamdi Amine
Author
  Mediterranean Institute of Oceanography, OSU Institut Pytheas, Aix Marseille University, Université de Toulon, CNRS, 22 IRD, Marseille, France. - Bosse Anthony
Author
  LOCEAN-IPSL/CNRS, Université Pierre et Marie Curie, T45-55 E4 case 100, 4 place Jussieu 75252 Paris, France. - Testor Pierre
Author
  Ecole Nationale Supérieure de Techniques Avancées, 29 rue d’Ulm,F-75230 Paris cedex 05, France. - Mortier Laurent
Author
  IMAGO, Université de Bretagne Occidentale, CNRS, Ifremer, IRD, Brest, France - Rousselot Pierre
Author
  Departamento de Oceanografia, Universidade Federal de Pernambuco (DOCEAN/UFPE), Recife, Brazil. - Costa da Silva Alex
Author
  Departamento de Oceanografia, Universidade Federal de Pernambuco (DOCEAN/UFPE), Recife, Brazil. Brazilian Research Network on Global Climate Change (Rede CLIMA), 12227-010, São José dos Campos-SP, Brazil. - Araujo Moacyr
Author
  CECI CNRS/Cerfacs/IRD, Université de Toulouse, Toulouse, France. - Koch-Larrouy Ariane
Author
  MARBEC, Université de Montpellier, CNRS, Ifremer, IRD, Sète, France - Bertrand Arnaud
Publisher
  SEANOE
Theme
  • Physical oceanography
  • Biological oceanography
ODATIS aggregation parameters and Essential Variable names
  • Salinity
  • Sea temperature
  • Suspended matter
  • Turbidity
SeaDataNet Parameter Disciplines
  • Physical oceanography
  • Biological oceanography
Type de jeux de donnée ODATIS
  • /Observational data/in-situ
Use limitation
CC-BY (Creative Commons - Attribution)
Use constraints
Other restrictions
Other constraints

This dataset is distributed under the Creative Commons Attribution 4.0 International License (CC-BY 4.0).

You are free to use, share, and adapt the data for non-commercial purposes, provided that appropriate credit is given to the authors.

Commercial use, including redistribution for profit or use within proprietary systems, is not permitted without prior authorization.

Date (Publication)
Unique resource identifier
10.5194/egusphere-2025-2141
Association Type
Cross reference
Initiative Type
Study
Date (Publication)
2021
Publisher
  SEANOE
Author
  Roudaut Gildas
Author
  Lebourges-Dhaussy Anne
Author
  Araujo Moacyr
Author
  Bertrand Arnaud
Unique resource identifier
10.17882/88270
Association Type
Cross reference
Initiative Type
dataset
Date (Publication)
2021
Publisher
  SEANOE
Author
  Rousselot Pierre
Author
  Cervelli Evan
Author
  Fouilland Eric
Author
  Koch-Larrouy Ariane
Author
  Lebourges-Dhaussy Anne
Author
  Meriaux Xavier
Author
  Le Ridant Arnaud
Author
  Roubaud Fabrice
Author
  Roudaut Gildas
Author
  Ternon Jean-Francois
Author
  Vantrepotte Vincent
Author
  Bertrand Arnaud
Unique resource identifier
10.17882/97235
Association Type
Cross reference
Initiative Type
dataset
Unique resource identifier
10.17600/18001364
Association Type
Cross reference
Initiative Type
Platform
Metadata language
English
Topic category
  • Oceans
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Begin date
2021-09-09
End date
2021-10-05
Distribution format
  • NC, NETCDF ( )

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

GLIDER dataset - 23 MB

OnLine resource
DOI of the product ( DOI )
OnLine resource
Seanoe ( rel-canonical )
Hierarchy level
Dataset
Statement
Slocum G2 glider from Teledyne Webb Research equipped with a Seabird’s pumped CTD (temperature, pressure, conductivity), an Aanderaa optode (dissolved oxygen), and a WetLabs’s optical puck (chlorophyll-a fluorescence, CDOM, and turbidity).
File identifier
seanoe:108213 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2025-10-23
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  LEGOS, Université de Toulouse, CNRS, OMP, IRD, Toulouse, France. Departamento de Oceanografia, Universidade Federal de Pernambuco (DOCEAN/UFPE), Recife, Brazil. CECI CNRS/Cerfacs/IRD, Université de Toulouse, Toulouse, France. - M'hamdi Amine
 
 

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overview

Spatial extent

N
S
E
W
thumbnail


Keywords

Biological oceanography Physical oceanography
ODATIS aggregation parameters and Essential Variable names
Salinity Sea temperature Suspended matter Turbidity
Type de jeux de donnée ODATIS
/Observational data/in-situ

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