Inferring and removing a spurious response in the optical backscattering signal from an autonomous profiling float

Bożena Wojtasiewicz , Ian D. Walsh , David Antoine , Dirk Slawinski , Nick J. Hardman-Mountford


Development of autonomous profiling floats, allowing for long-term continuous measurement of bio-optical variables, promises to significantly increase our knowledge of the variability of the particulate optical backscattering coefficient bbp in marine environments. However, because autonomous floats are designed for unattended data collection and only rarely are recovered for analysis of the condition of the sensors in situ, the quality-control analysis of float data streams is of paramount importance in both a particular dataset and the larger understanding of the response of sensors over the lifetime of the floats. Anomalous data from a backscattering sensor (MCOMS) mounted on autonomous profiling floats are reported here. The observed sensor behavior, which presents itself as significant differences in the values observed at the parking depth between profiles, caused by a steady increase in the signal during the profiling time, is neither common to all sensors nor can it be a function of changes in the particle population. A simple quality-control procedure that is able to detect this spurious sensor response is proposed. Further characterization of this effect will require laboratory experimentation under controlled conditions of temperature and pressure.
Author Bożena Wojtasiewicz (FOG / IO / DPO)
Bożena Wojtasiewicz,,
- Division of Physical Oceanography
, Ian D. Walsh
Ian D. Walsh,,
, David Antoine
David Antoine,,
, Dirk Slawinski
Dirk Slawinski,,
, Nick J. Hardman-Mountford
Nick J. Hardman-Mountford,,
Journal seriesJournal of Atmospheric and Oceanic Technology, ISSN 0739-0572, (A 40 pkt)
Issue year2018
Publication size in sheets0.5
Keywords in Englishdata quality control, in situ oceanic observations, profilers, oceanic
Languageen angielski
Score (nominal)40
ScoreMinisterial score = 40.0, 30-09-2019, ArticleFromJournal
Publication indicators WoS Impact Factor: 2017 = 2.122 (2) - 2017=2.411 (5)
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