A BGC-Argo guide: Planning, deployment, data handling and usage
- 1Leibniz Institute for Baltic Sea Research (LG), Germany
- 2UMR7093 Laboratoire d'océanographie de Villefranche (LOV), France
- 3Monterey Bay Aquarium Research Institute (MBARI), United States
- 4School of Oceanography, University of Washington, United States
- 5UMS3455 Observatoire des sciences de l'Univers Paris-Centre Ecce Terra (ECCE TERRA), France
- 6CSIRO Oceans and Atmopshere, Australia
- 7Indian National Centre for Ocean Information Services, India
- 8School of Marine Sciences, University of Maine, United States
- 9National Centre for Earth Observation, Plymouth Marine Laboratory, United Kingdom
- 10UMR6523 Laboratoire d'Oceanographie Physique et Spatiale (LOPS), France
- 11Second Institute of Oceanography, State Oceanic Administration, State Key Laboratory of Satellite Ocean Environment Dynamics (SOED), China
The Biogeochemical-Argo program (BGC-Argo) is a new profiling-float-based, ocean wide, and distributed ocean monitoring program which is tightly linked to, and has benefited significantly from, the Argo program. The community has recommended for BGC-Argo the addition of six measurements in addition to pressure, temperature and salinity measured by Argo, to include oxygen, pH, nitrate, downwelling light, chlorophyll fluorescence and the optical backscattering coefficient. The purpose of this addition is to enable the monitoring of ocean biogeochemistry and health, and in particular, monitor major processes such as ocean deoxygenation, acidification and warming and their effect on phytoplankton, the main source of energy of marine ecosystems.
Here we describe the salient issues associated with the operation of the BGC-Argo network, with information useful for those interested in deploying and using the data it produces. These include, float testing, deployment and increasingly, recovery. Aspect of data management, processing and quality control are covered as well as specific issues associated with each of the six BGC-Argo sensors. In particular, it is recommended that water samples be collected during float deployment to be used for validation of sensor output.
Keywords: Ocean observation, Ocean biogeochemical cycles, Sensors, Carbon Cycle, ocean optics, Best praclices, ARGO
Received: 15 Mar 2019;
Accepted: 25 Jul 2019.
Copyright: © 2019 Bittig, Maurer, Plant, Wong, Schmechtig, Claustre, Trull, Udaya Bhaskar, Boss, Dall'Olmo, Organelli, Poteau, Johnson, Hanstein, Leymarie, Le Reste, Riser, Rupan, Taillandier, Thierry and Xing. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Mx. Henry C. Bittig, Leibniz Institute for Baltic Sea Research (LG), Warnemünde, Germany, email@example.com
Mx. Serge Le Reste, UMR6523 Laboratoire d'Oceanographie Physique et Spatiale (LOPS), Plouzane, France, Serge.Le.Reste@ifremer.fr