Explore the words cloud of the REOPTIMIZE project. It provides you a very rough idea of what is the project "REOPTIMIZE" about.
The following table provides information about the project.
Coordinator |
PLYMOUTH MARINE LABORATORY LIMITED
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://www.pml.ac.uk/Research/Projects/REOPTIMIZE |
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.
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1 | PLYMOUTH MARINE LABORATORY LIMITED | UK (PLYMOUTH) | coordinator | 195˙454.00 |
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 |
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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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