Correction and Accuracy of High- and Low-Resolution CTD Data from Animal-Borne Instruments

Type Article
Date 2019-05
Language English
Author(s) Siegelman Lia1, 2, 3, Roquet Fabien4, Mensah Vigan5, Riviere Pascal1, Pauthenet Etienne6, Picard Baptiste7, Guinet Christophe7
Affiliation(s) 1 : Univ Brest, IFREMER, CNRS, IRD,LEMAR, Plouzane, France.
2 : CALTECH, Environm Sci & Engn, Pasadena, CA 91125 USA.
3 : CALTECH, NASA, Jet Prop Lab, Pasadena, CA 91125 USA.
4 : Univ Gothenburg, Dept Marine Sci, Gothenburg, Sweden.
5 : Hokkaido Univ, Inst Low Temp Sci, Sapporo, Hokkaido, Japan.
6 : UPMC Univ Paris 06, Sorbonne Univ, UMR 7159, LOCEAN IPSL, F-75005 Paris, France.
7 : CNRS, Ctr Etud Biol Chize, Villiers En Bois, France.
Source Journal Of Atmospheric And Oceanic Technology (0739-0572) (Amer Meteorological Soc), 2019-05 , Vol. 36 , N. 5 , P. 745-760
DOI 10.1175/JTECH-D-18-0170.1
WOS© Times Cited 28
Keyword(s) Algorithms, Data processing, In situ oceanic observations
Abstract

Most available CTD Satellite Relay Data Logger (CTD-SRDL) profiles are heavily compressed before satellite transmission. High-resolution profiles recorded at the sampling frequency of 0.5 Hz are, however, available upon physical retrieval of the logger. Between 2014 and 2018, several loggers deployed on elephant seals in the Southern Ocean have been set in continuous recording mode, capturing both the ascent and descent for over 60 profiles per day during several months, opening new horizons for the physical oceanography community. Taking advantage of a new dataset made of seven such loggers, a postprocessing procedure is proposed and validated to improve the quality of all CTD-SRDL data: that is, both high-resolution profiles and compressed low-resolution ones. First, temperature and conductivity are corrected for a thermal mass effect. Then salinity spiking and density inversion are removed by adjusting salinity while leaving temperature unchanged. This method, applied here to more than 50 000 profiles, yields significant and systematic improvements in both temperature and salinity, particularly in regions of rapid temperature variation. The continuous high-resolution dataset is then used to provide updated accuracy estimates of CTD-SRDL data. For high-resolution data, accuracies are estimated to be of +/- 0.02 degrees C for temperature and +/- 0.03 g kg(-1) for salinity. For low-resolution data, transmitted data points have similar accuracies; however, reconstructed temperature profiles have a reduced accuracy associated with the vertical interpolation of +/- 0.04 degrees C and a nearly unchanged salinity accuracy of +/- 0.03 g kg(-1).

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How to cite 

Siegelman Lia, Roquet Fabien, Mensah Vigan, Riviere Pascal, Pauthenet Etienne, Picard Baptiste, Guinet Christophe (2019). Correction and Accuracy of High- and Low-Resolution CTD Data from Animal-Borne Instruments. Journal Of Atmospheric And Oceanic Technology, 36(5), 745-760. Publisher's official version : https://doi.org/10.1175/JTECH-D-18-0170.1 , Open Access version : https://archimer.ifremer.fr/doc/00494/60567/