Ollitrault Michel, Rannou Philippe, Brion Emilie, Cabanes Cecile, Piron Anne, Reverdin Gilles, Kolodziejczyk Nicolas (2019). ANDRO: An Argo-based deep displacement dataset. SEANOE. https://doi.org/10.17882/47077
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)).
Float parking pressure RPP and temperature deep and surface displacements and associated times deep and surface associated velocities with their estimated errors 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