ANDRO: An Argo-based deep displacement dataset

Date 2022-03-04
Author(s) Ollitrault Michel1, Rannou Philippe2, Brion Emilie2, Cabanes CecileORCID3, Piron Anne2, Reverdin GillesORCID3, 4, Kolodziejczyk NicolasORCID5
Affiliation(s) 1 : Ifremer, France
2 : Altran Ouest, France
3 : CNRS, France
4 : Sorbonne University, France
5 : University of Brest, France
DOI 10.17882/47077
Publisher SEANOE
Abstract

A world deep displacement dataset, named ANDRO, after a traditional dance of Brittany meaning a swirl, comprising more than 1300 000 deep displacements, has been produced from the Argo float trajectory data ('traj' files). ANDRO dataset was completed over the period 2000-2009, then was partially but yearly updated since 2010.

For detailed information and status of the last released ANDRO product, please visit the dedicated Argo France web page: https://www.umr-lops.fr/SNO-Argo/Products/ANDRO-Argo-floats-displacements-Atlas

One important feature of ANDRO is that the pressures measured during float drifts at depth, and suitably averaged are preserved in ANDRO. To reach this goal, it was necessary to reprocess most of the Argo raw data, because of the many different decoding versions (roughly 100) not always applied by the DACs to the displacement data because they were mainly interested in the p,t,S profiles. The result of our work was the production of comprehensive files, named DEP (for 'déplacement' in French), containing all the possibly retrievable float data.

 
Licence CC-BY
User's manual

ANDRO contents and format

Data
File Size Format Processing Access Key
56 MB TEXTE Quality controlled data Access on demand 47028
57 MB TEXTE Quality controlled data Access on demand 47029
61 MB TEXTE Quality controlled data Access on demand 47030
63 MB TEXTE Quality controlled data Access on demand 47031
67 MB TEXTE Quality controlled data Access on demand 47997
80 MB TEXTE Processed data Access on demand 56966
312 MB TEXTE Processed data Access on demand 66657
329 MB NC, NetCDF Processed data Access on demand 73299
17 MB NC, NetCDF Processed data Access on demand 73301
17 MB NC, NetCDF Processed data Access on demand 83199
375 MB DAT Processed data Access on demand 83200
Gridded velocity climatology from deep Andro velocities (Release 2022): 3°x3° binned statistics 17 MB NC, NetCDF Processed data Open access 91949
Data Release 2022 408 MB DAT Processed data Open access 91950
Top of the page

How to cite 

Ollitrault Michel, Rannou Philippe, Brion Emilie, Cabanes Cecile, Piron Anne, Reverdin Gilles, Kolodziejczyk Nicolas (2022). ANDRO: An Argo-based deep displacement dataset. SEANOE. https://doi.org/10.17882/47077