Abstract

In European seas, ocean monitoring strategies in terms of key parameters, space and time scale vary widely for a range of technical and economic reasons. Nonetheless, the growing interest in the ocean interior promotes the investigation of processes such as oxygen consumption, primary productivity and ocean acidity requiring that close attention is paid to the instruments in terms of measurement setup, configuration, calibration, maintenance procedures and quality assessment. To this aim, two separate hardware and software tools were developed in order to test and simultaneously intercompare several oxygen probes and fluorometers/turbidimeters, respectively in the same environmental conditions, with a configuration as close as possible to real in-situ deployment. The chamber designed to perform chlorophyll-a and turbidity tests allowed for the simultaneous acquisition of analogue and digital signals of several sensors at the same time, so it was sufficiently compact to be used in both laboratory and onboard vessels. Methodologies and best practice committed to the intercomparison of dissolved oxygen sensors and fluorometers/turbidimeters have been used, which aid in the promotion of interoperability to access key infrastructures, such as ocean observatories and calibration facilities. Results from laboratory tests as well as field tests in the Mediterranean Sea are presented.

Highlights

  • A major task of operational oceanography is to produce and disseminate data that is of use to a great variety of applications

  • We describe two different innovative hardware and software tools to simultaneously intercompare dissolved oxygen sensors and fluorometers/turbidimeters in the same environment and the configuration characteristics of a real deployment

  • During the whole experiment for the dissolved oxygen intercomparison, steps were performed with a temperature range from °C to 32 °C and salinity spanning from 38.8 psu to 39.2

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Summary

Introduction

A major task of operational oceanography is to produce and disseminate data that is of use to a great variety of applications. Model outputs may be improved through assimilation and/or validation procedures [6,7], enhancing our ability to predict the ocean state Another advantage is that data availability at the monitoring sites of fixed-point observatories makes these areas suitable for inter-disciplinary studies that exploit more than one type of observatories [8,9,10]. In such cases, the limitations of data sets derived from different platforms can be identified [11], whereas their comparison can increase our confidence in the analyses results [12]

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