Articles | Volume 15, issue 1
Data description paper
20 Jan 2023
Data description paper |  | 20 Jan 2023

Argo salinity: bias and uncertainty evaluation

Annie P. S. Wong, John Gilson, and Cécile Cabanes

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Revised manuscript accepted for ESSD
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Cited articles

Argo: Argo float data and metadata from Global Data Assembly Centre (Argo GDAC), SEANOE [data set],, 2022. 
Argo Science Team: On the Design and Implementation of Argo – a global array of profiling floats, International CLIVAR Project Office Report, 21, 32 pp., 1998. 
Barker, P. M., Dunn, J. R., Domingues, C. M., and Wijffels, S. E.: Pressure Sensor Drifts in Argo and Their Impacts, J. Atmos. Ocean. Tech., 28, 1036–1049,, 2011. 
Barnoud, A., Pfeffer, J., Guérou, A., Frery, M.-L., Siméon, M., Cazenave, A. Chen J., Llovel, W., Thierry, V., Legeais, J-F., and Ablain, M.: Contributions of altimetry and Argo to non-closure of the global mean sea level budget since 2016, Geophys. Res. Lett., 48, e2021GL092824,, 2021. 
Short summary
This article describes the instrument bias in the raw Argo salinity data from 2000 to 2021. The main cause of this bias is sensor drift. Using Argo data without filtering out this instrument bias has been shown to lead to spurious results in various scientific applications. We describe the Argo delayed-mode process that evaluates and adjusts such instrument bias, and we estimate the uncertainty of the Argo delayed-mode salinity dataset. The best ways to use Argo data are illustrated.