This report describes the methodology used to refine the validation scenarios and the compilation of required data inputs, accounting for the different potential use cases

Auteur(s): Sanderre Alain, Desmoulins Christian , Projet thérapeutique étudié en fonction de l'architecture

The “French sub-rectangles of the ICES fishery statistical rectangles” product contains 2D areas vector objects representing a sub-rectangle division of ICES statistical rectangles. Each product polygon belongs to an unique ICES rectangle. This subdivision enables distinction between overlapping areas in two or more EEZs, areas of functional interest and areas of regulatory interest.

Water column sonar data, the acoustic back-scatter from the near-surface to the seafloor, are used to assess physical and biological characteristics of the ocean including the spatial distribution of plankton, fish, methane seeps, and underwater oil plumes. In collaboration with NOAA's National Marine Fisheries Service (NMFS) and the University of Colorado Boulder, NOAA’s National Centers for Environmental Information (NCEI) established a national archive for water column sonar data. This project entails ensuring the long-term stewardship of well-documented water column sonar data, and enabling discovery and access to researchers and the public around the world. Data providers include NOAA National Marine Fisheries Service (NMFS), NOAA Office of Ocean Exploration and Research (OER), NOAA National Ocean Service (NOS), Rolling Deck to Repository (R2R), U.S. academic and private institutions, and international groups. This data set comprises the water-column sonar data archived at NCEI in a more readily accessible media. Data provided to NCEI are in their raw format. Processing routines are being applied to a subset of the archive, specifically focusing on Simrad EK60 single and multiple frequency datasets. Ping alignment, noise removal algorithms (De Robertis & Higgenbottom, 2007; Ryan et al., 2015), and bottom detection algorithms are applied to the raw data binned into one hour intervals using Echoview (Myriax, v.10). The processed data are exported as a CSV for each interval and each frequency.

The objective of the DTOceanPlus project was to develop a software suite of open source advanced tools for the selection, development and deployment of ocean energy systems. DTOceanPlus project made it to develop and demonstrate an open source sotftware suite of second generation design tools for ocean energy technologies including sub-systems, energy capture devices and arrays. These tools support the entire technology innovation process, from concept, through development, to deployment. More broadly, the project also provided an industry standard for communicating technology descriptions throughout the sector. To complement the numerical work, an extensive market analysis of the ocean energy sector is publicly available.

This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite B (Metop-B) Advanced Very High Resolution Radiometer 3 (AVHRR/3) (https://podaac.jpl.nasa.gov/dataset/AVHRRF_MB-STAR-L2P-v2.80 ) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-B AVHRR FRAC L3U product is monitored and validated against iQuam in situ data https://www.star.nesdis.noaa.gov/socd/sst/iquam in the NOAA SST Quality Monitor (SQUAM) system https://www.star.nesdis.noaa.gov/socd/sst/squam . SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system https://www.star.nesdis.noaa.gov/socd/sst/arms . More information about the dataset is found at AVHRRF_MB-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).

Auteur(s): Birault Jacques , Réutilisation des entrepôts de la Chambre de Commerce, situés cours du Médoc, pour en faire un lieu d'échanges et de communication

Fish larvae were collected by the continuous plankton recorder (CPR, operated by SAHFOS) all year long between 1951 and 2005 along transects in the Celtic Sea and English Channel. The CPR is towed by ships of opportunity at speeds of 15 to 20 knots, at an approximate depth of 10 m. Water enters the recorder through an aperture of 1.27 cm2, and is filtered through a continuously moving band of silk with an average mesh size of 270 μm.

This report is a comprehensive description of the environmental impacts related to operations and maintenance. All marine operations related to inspection, maintenance and repair lead to environmental impacts due to vessel traffic, noise emissions, handling of mooring lines, anchors and cables, etc.