ANDRO: An Argo-based deep displacement dataset

Date 2020-05-05
Author(s) Ollitrault Michel1, Rannou Philippe2, Brion Emilie2, Cabanes Cecile3, Piron Anne2, Reverdin GillesORCID4, Kolodziejczyk NicolasORCID1
Affiliation(s) 1 : Ifremer, France
2 : Altran, France
3 : CNRS, France
4 : UMPC, 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 600 000 deep displacements, has been produced from the Argo float data.

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 déplacements in French), containing all the possibly retrievable float data.

ANDRO actual contents and format is described in the user guide, which must be read before using ANDRO (ANDRO format is also described in Ollitrault M. et al (2013)).
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
Release 2020 with complete Coriolis data up to 2019 Sep 31. 329 MB NC, NetCDF Processed data Open access 73299
Gridded velocity climatology from Andro velocities (Release 2020): 3°x3° binned statistics 17 MB NC, NetCDF Processed data Open access 73301
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How to cite 

Ollitrault Michel, Rannou Philippe, Brion Emilie, Cabanes Cecile, Piron Anne, Reverdin Gilles, Kolodziejczyk Nicolas (2020). ANDRO: An Argo-based deep displacement dataset. SEANOE. https://doi.org/10.17882/47077