A Correction for the Thermal Mass–Induced Errors of CTD Tags Mounted on Marine Mammals - Archive ouverte HAL
Article Dans Une Revue Journal of Atmospheric and Oceanic Technology Année : 2018

A Correction for the Thermal Mass–Induced Errors of CTD Tags Mounted on Marine Mammals

Résumé

The effect of thermal mass on the salinity estimate from conductivity–temperature–depth (CTD) tags sensor mounted on marine mammals is documented, and a correction scheme is proposed to mitigate its impact. The algorithm developed here allows for a direct correction of the salinity data, rather than a correction of the sample’s conductivity and temperature. The amplitude of the thermal mass–induced error on salinity and its correction are evaluated via comparison between data from CTD tags and from Sea-Bird Scientific CTD used as a reference. Thermal mass error on salinity appears to be generally O(10−2) g kg−1, it may reach O(10−1) g kg−1, and it tends to increase together with the magnitude of the cumulated temperature gradient (THP) within the water column. The correction we propose yields an error decrease of up to ~60% if correction coefficients specific to a certain tag or environment are calculated, and up to 50% if a default value for the coefficients is provided. The correction with the default coefficients was also evaluated using over 22 000 in situ dive data from five tags deployed in the Southern Ocean and is found to yield significant and systematic improvements on the salinity data, including for profiles whose THP was weak and the error small. The correction proposed here yields substantial improvements in the density estimates, although a thermal mass–induced error in temperature measurements exists for very large THP and has yet to be corrected.
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Dates et versions

hal-01852212 , version 1 (26-05-2020)

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Vigan Mensah, Fabien Roquet, Lia Siegelman-Charbit, Baptiste Picard, Etienne Pauthenet, et al.. A Correction for the Thermal Mass–Induced Errors of CTD Tags Mounted on Marine Mammals. Journal of Atmospheric and Oceanic Technology, 2018, 35 (6), pp.1237 - 1252. ⟨10.1175/JTECH-D-17-0141.1⟩. ⟨hal-01852212⟩
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