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REmineralisation, OPTIcs and Marine partIcle siZE

Total Cost €


EC-Contrib. €






Project "REOPTIMIZE" data sheet

The following table provides information about the project.


Organization address
postcode: PL1 3DH

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Project website
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-06-13   to  2018-06-12


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Remineralisation of the particulate matter that sinks from the surface to the deep ocean is a crucial component of the biological carbon pump, because it ultimately influences the Earth’s climate. Due to the difficulties to observe this process, however, little is known about the variability of mesopelagic (~200-1000 m) remineralisation. REOPTIMIZE aims to improve knowledge of mesopelagic remineralisation by exploiting – for the first time – time-series of optical proxies of particle size and oxygen consumption collected by autonomous robotic platforms (i.e., Bio-Argo floats). These new estimates of remineralisation, acquired at unprecedented spatial and temporal resolution, will improve our knowledge of the biological carbon pump and ultimately reduce uncertainties in current and future estimates of the ocean carbon budget. REOPTIMIZE will combine models and field measurements. Field data from the Atlantic Meridional Transect cruises will be firstly exploited to extend current relationships between optical proxies and particle size from the ocean surface to the mesopelagic zone. Then, spectral light backscattering data acquired by a fleet of Bio-Argo floats in under-sampled oceanic areas will be converted to size-revolved carbon biomasses. These biomass estimates will then be combined with simultaneous oxygen consumption rates and analysed, by means of simple models of particle dynamics, to derive particle disaggregation rates in the mesopelagic. These inter-disciplinary and innovative activities will establish a two-way exchange of knowledge between the Researcher’s and the host institution and to enhance their European and international network of collaborators. Outcomes of REOPTIMIZE will have an impact on the European strategy for global ocean observations.


year authors and title journal last update
List of publications.
2018 Marie Barbieux, Julia Uitz, Annick Bricaud, Emanuele Organelli, Antoine Poteau, Catherine Schmechtig, Bernard Gentili, Grigor Obolensky, Edouard Leymarie, Christophe Penkerc\'h, Fabrizio D\'Ortenzio, Hervé Claustre
Assessing the Variability in the Relationship Between the Particulate Backscattering Coefficient and the Chlorophyll a Concentration From a Global Biogeochemical-Argo Database
published pages: 1229-1250, ISSN: 2169-9275, DOI: 10.1002/2017JC013030
Journal of Geophysical Research: Oceans 123/2 2019-09-16
2017 Emanuele Organelli, Hervé Claustre, Annick Bricaud, Marie Barbieux, Julia Uitz, Fabrizio D\'Ortenzio, Giorgio Dall\'Olmo
Bio-optical anomalies in the world\'s oceans: An investigation on the diffuse attenuation coefficients for downward irradiance derived from Biogeochemical Argo float measurements
published pages: 3543-3564, ISSN: 2169-9275, DOI: 10.1002/2016jc012629
Journal of Geophysical Research: Oceans 122/5 2019-09-16
2017 Emanuele Organelli, Marie Barbieux, Hervé Claustre, Catherine Schmechtig, Antoine Poteau, Annick Bricaud, Emmanuel Boss, Nathan Briggs, Giorgio Dall'Olmo, Fabrizio D'Ortenzio, Edouard Leymarie, Antoine Mangin, Grigor Obolensky, Christophe Penkerc'h, Louis Prieur, Collin Roesler, Romain Serra, Julia Uitz, Xiaogang Xing
Two databases derived from BGC-Argo float measurements for marine biogeochemical and bio-optical applications
published pages: 861-880, ISSN: 1866-3516, DOI: 10.5194/essd-9-861-2017
Earth System Science Data 9/2 2019-09-16

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