2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean

This dataset contains OAC-P results from application to Argo data in the World Ocean :

- the 2000-2015 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates;

- the 2000-2015 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared.OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties:

- for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity;

- for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity.

Argo data were download from Coriolis Argo GDAC on February, 8th 2016. Only Argo data with QC=1, 2, 5 or 8 were used.

 

Simple

Title

2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean

Date (Publication)
2018
Date (Revision)
2021-05-12
Other citation details

Feucher Charlene, Maze Guillaume, Mercier Herle (2018). 2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean. SEANOE. https://doi.org/10.17882/56503


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 :


Feucher Charlene, Maze Guillaume, Mercier Herle (2019). Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean. Journal Of Geophysical Research-oceans, 124(2), 1139-1154. https://doi.org/10.1029/2018JC014526

Abstract

This dataset contains OAC-P results from application to Argo data in the World Ocean :

- the 2000-2015 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates;

- the 2000-2015 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared.OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties:

- for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity;

- for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity.

Argo data were download from Coriolis Argo GDAC on February, 8th 2016. Only Argo data with QC=1, 2, 5 or 8 were used.

Point of contact
Organisation name Individual name Electronic mail address Role

Ifremer, France

FEUCHER Charlene

Author

Ifremer, France

MAZE Guillaume

Author

Ifremer, France

MERCIER Herle

Author

SEANOE

Publisher
Theme
  • World Ocean

  • Argo

  • Subtropical gyre

  • Stratification

  • Pycnocline

  • Physical oceanography

ODATIS aggregation parameters and Essential Variable names
  • Density
SeaDataNet Parameter Disciplines
  • Physical oceanography
Type de jeux de donnée ODATIS
  • /Observational data/in-situ
Use limitation
CC-BY-ND (Creative Commons - Attribution, No modification)
Use constraints
Other restrictions
Title

Labellisation Service National d'Observation Argo France (INSU/CNRS) 2025-2029

Date (Publication)
2024
Cited responsible party
Organisation name Individual name Electronic mail address Role

SNO Argo-France

Publisher

Kolodziejczyk Nicolas

Author

Cabanes Cecile

Author

Claustre Hervé

Author

D'Ortenzio Fabrizio

Author

Leymarie Edouard

Author

Maze Guillaume

Author

Poteau Antoine

Author

Schmechtig Catherine

Author

Sauzède R

Author

Poffa Noe

Author

Thierry Virginie

Author

Uitz J.

Author
Code
10.13155/61055
Association Type
Cross reference
Initiative Type
Study
Title

Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean

Date (Publication)
2019
Cited responsible party
Organisation name Individual name Electronic mail address Role

American Geophysical Union (AGU)

Publisher

FEUCHER CHARLENE

Author

MAZE GUILLAUME

Author

MERCIER HERLE

Author
Code
10.1029/2018JC014526
Association Type
Cross reference
Initiative Type
Study
Title

Argo float data and metadata from Global Data Assembly Centre (Argo GDAC)

Date (Publication)
2025
Cited responsible party
Organisation name Individual name Electronic mail address Role

SEANOE

Publisher

Argo

Author
Code
10.17882/42182
Association Type
Cross reference
Initiative Type
dataset
Language
English
Topic category
  • Oceans
N
S
E
W


Begin date
2000
End date
2015
Distribution format
Name Version

NC, NETCDF

OnLine resource
Protocol Linkage Name

WWW:DOWNLOAD-1.0-link--download

https://www.seanoe.org/data/00453/56503/data/62593.nc

Quality controlled data

WWW:DOWNLOAD-1.0-link--download

https://www.seanoe.org/data/00453/56503/data/62594.nc

Quality controlled data

OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--metadata-URL

https://doi.org/10.17882/56503

DOI of the product

rel-canonical

https://www.seanoe.org/data/00453/56503/

Seanoe

Hierarchy level
Dataset

Metadata

File identifier
seanoe:56503
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2021-05-12
Metadata standard name

ISO 19115:2003/19139

Metadata standard version

1.0

Metadata author
Organisation name Individual name Electronic mail address Role

Ifremer, France

FEUCHER Charlene

Local service desk
 
 

Record from SEANOE

DOI
10.17882/56503

accessData

 

Overviews

Overview

Tags

Argo Physical oceanography Pycnocline Stratification Subtropical gyre World Ocean
ODATIS aggregation parameters and Essential Variable names
Density
SeaDataNet Parameter Disciplines
Physical oceanography
Type de jeux de donnée ODATIS
/Observational data/in-situ