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A BGC-Argo Guide: Planning, Deployment, Data Handling and Usage

Authors :
Henry C. Bittig
Tanya L. Maurer
Joshua N. Plant
Catherine Schmechtig
Annie P. S. Wong
Hervé Claustre
Thomas W. Trull
T. V. S. Udaya Bhaskar
Emmanuel Boss
Giorgio Dall’Olmo
Emanuele Organelli
Antoine Poteau
Kenneth S. Johnson
Craig Hanstein
Edouard Leymarie
Serge Le Reste
Stephen C. Riser
A. Rick Rupan
Vincent Taillandier
Virginie Thierry
Xiaogang Xing
Source :
Frontiers in Marine Science, Vol 6 (2019)
Publication Year :
2019
Publisher :
Frontiers Media S.A., 2019.

Abstract

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 to measure six additional properties 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 floats and using the data they produce. The topics include float testing, deployment and increasingly, recovery. Aspects 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.

Details

Language :
English
ISSN :
22967745
Volume :
6
Database :
Directory of Open Access Journals
Journal :
Frontiers in Marine Science
Publication Type :
Academic Journal
Accession number :
edsdoj.073a48b42e5d4d729ef15bd7f479019c
Document Type :
article
Full Text :
https://doi.org/10.3389/fmars.2019.00502