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- Title
MAREL Carnot data and metadata from Coriolis Data Center.
- Authors
Ghosn, Raed Halawi; Poisson-Caillault, Émilie; Charria, Guillaume; Bonnat, Armel; Repecaud, Michel; Facq, Jean-Valery; Quéméner, Loïc; Duquesne, Vincent; Blondel, Camille; Lefebvre, Alain
- Abstract
The French coast of the Eastern English Channel (ECC) is classified as potential eutrophication zone by the Paris and Oslo Convention (OSPAR), and as moderate to poor according to phytoplankton quality element of the Water Framework Directive (WFD). Indeed, the French part of the EEC is regularly affected by Phaeocystis globosa bloom events, which have detrimental effects on the marine ecosystem, economy as well as public health. Since phytoplankton is an important indicator of water quality, the MAREL Carnot oceanographic multi-sensor station was installed in the Eastern English Channel at the Carnot wall in Boulogne sur Mer in 2004. The aim of this station was to monitor water quality and phytoplankton in order to complement results from existing more conventional low resolution monitoring programs, with high frequency data (sampling every 20 minutes). The purpose of this paper is to introduce the MAREL Carnot dataset and show how it can be used for several research objectives. MAREL Carnot collects high frequency, multi-parameter observations from surface water, as well as meteorological measurements, and send data almost immediately to an inshore data center. In this paper, we present several physiochemical and biological parameters measured by this station. In addition, we demonstrated, based on previous research activities, that the MAREL Carnot dataset is useful for evaluating environmental or ecological statuses, marine phytoplankton ecology, physical oceanography, turbulence, as well as public policy. Most importantly, we showed its contribution to Marine Strategy Framework Directive (MSFD) and other regional or universal conventions.
- Subjects
OSLO (Norway); SERVER farms (Computer network management); WATER management; MARINE phytoplankton; WATER quality monitoring; OCEANOGRAPHY; DATA warehousing
- Publication
Earth System Science Data Discussions, 2023, p1
- ISSN
1866-3591
- Publication type
Article
- DOI
10.5194/essd-2023-8