The Underwater Vision Profiler (UVP) has been developed to study the number, size and shape of particles (size > 80µm) and plankton (size > 700µm) in situ. Over the last decade, thousands of profiles have been collected in the world's oceans by the UVP5 to better understand and quantify processes affecting community compositions of large plankton and the biological carbon pump. These data, used together with modeling approaches helped estimate plankton global carbon biomass and particle vertical flux. The most recent UVP (UVP6) sensors have been developed to be mounted on autonomous platforms, mooring and CTD rosettes down to 6000 m depth. Fully inter-calibrated, they record particles and identify plankton and marine snow after recovery or during deployment using an embedded recognition algorithm.  A complete software ecosystem is used to pilot the instrument, record the data, and make them available to fulfill the global need of easy data access expressed by scientists, policy makers and the public. Because of the cost reduction of the UVP6, its capability to be mounted on many platforms including autonomous ones, the Ocean is being quickly populated by this sensor (125 sensors have been in operation in the last 2 years). Recent plankton community composition, particle mass, and flux data from three different basins in the Atlantic will be presented. In the next decade, the massive global monitoring of these key biological Essential Oceanographic Variables will significantly advance our understanding of key aquatic processes including the biological carbon pump.  

Primary Presenter: lars stemmann, Sorbonne University (lars.stemmann@sorbonne-universite.fr)

Authors:

Marc Picheral, CNRS LOV  (picheral@obs-vlfr.fr)

Camille Catalano, CNRS-LOV  (camille.catalano@imev-mer.fr)

Alexandre Accardo, Sorbonne University  ()

Alberto Baudena, CNRS-LOV  (alberto.baudena@imev-mer.fr)

Hervé Claustre, CNRS-LOV  (herve.claustre@imev-mer.fr)

Lucas Courchet, Sorbonne University - IMEV  (lucas.courchet@imev-mer.fr)

Laetitia Drago, Sorbonne University - LOV  (laetitia.drago@imev-mer.fr)

Amanda Elineau, Sorbonne University - IMEV  (amanda.elineau@gmail.com)

Lionel Guidi, CNRS-LOV  (lguidi@obs-vlfr.fr)

Jean -Olivier Irisson, Sorbonne University - LOV  (irisson@normalesup.org)

Laetitia Jalabert, Sorbonne University - IMEV  (laetitia.jalabert@imev-mer.fr)

Rainer Kiko, GEOMAR  (rkiko@geomar.de)

Edouard Leymarie, CNRS-LOV  (edouard.leymarie@imev-mer.fr)

Fabien Lombard, Sorbonne University - LOV  (fabien.lombard@imev-mer.fr)

Florian Ricour, Université de Liège and Sorbonne University  (florian.ricour@uliege.be)

Catherine Schmechtig, CNRS/Sorbonne University  ()

Dodji Soviadan, Sorbonne University - LOV  (dodji.soviadan@imev-mer.fr)

lars stemmann, Sorbonne University - LOV  (lars.stemmann@sorbonne-universite.fr)