The ODATIS Ocean Cluster (Ocean Data Information and Services) is the entry point to access all the French Ocean observation data. Its aim is to promote and facilitate the use of Ocean observations sampled by way of in situ and remote sensing measurements. ODATIS contributes to describing, quantifying and understanding the ocean as a whole — offshore and coastal.

Fronts are ubiquitous discrete features of the global ocean often associated with enhanced vertical velocities, in turn boosting primary production and so forth. Fronts thus form dynamical and ephemeral ecosystems where numerous species meet across all trophic levels. Fronts are also targeted by fisheries. Capturing ocean fronts and studying their long-term variability in relation with climate change is thus key for marine resource management and spatial planning. The Mediterranean Sea and the Southwest Indian Ocean are natural laboratories to study front-marine life interactions due to their energetic flow at sub-to-mesoscales, high biodiversity (including endemic and endangered species) and numerous conservation initiatives. Based on remotely-sensed Sea Surface Temperature and Height, we compute thermal fronts (2003-2020) and attracting Lagrangian Coherent Structures (1994-2020), in both regions over several decades. We advocate for the combined use of both thermal fronts and attracting Lagrangian Coherent Structures to study front-marine life interactions. The resulting front database differs from other alternatives by its high spatio-temporal resolution, long time coverage, and relevant thresholds defined for ecological provinces.

The European Marine Observation and Data Network (EMODnet) is a long-term, marine-data initiative funded by the European Maritime and Fisheries Fund which, together with the Copernicus space programme and the Data Collection Framework for fisheries, implements the EU’s Marine Knowledge 2020 strategy. EMODnet Physics (www.emodnet-physics.eu) is one of the seven domain-specific portals of the European Marine Observation and Data Network (EMODnet). EMODnet-Physics map portal (www.emodnet-physics.eu/map) provides a single point of access to validated in situ datasets, products and their physical parameter metadata of European Seas and global oceans. More specifically, time series and datasets are made available, as recorded by fixed platforms (moorings, tide gauges, HF radars, etc.), moving platforms (ARGO, Lagrangian buoys, ferryboxes, etc.) and repeated observations (CTDs, etc.). The available themes are the temperature of the water column, the salinity of the water column, horizontal velocity of the water column, sea level and sea level trends, wave height and period, wind and atmospheric pressure, optical properties (e.g. light attenuation, back scattering, turbidity, etc.), underwater sound pressure level (acoustic pollution), river runoff, other biogeochemical data (e.g. chlorophyll, dissolved oxygen, etc.), sea-ice coverage. Acquisition of these physical parameters is largely an automated process based on a “federated” network infrastructure linking data providers and other marine data aggregating infrastructure. In particular, EMODnet Physics is strongly federated with two other European data aggregating infrastructures. One is the Copernicus Marine Environment Monitoring Service - In Situ Thematic Assembly Centre for operational data flow, while historical validated datasets are organised in collaboration with SeaDataNet and its network of National Oceanographic Data Centres. The NRT data go through a stricter quality control before NODCs validate the datasets for long-term storage and stewardship. This validation process ends when the metadata of the processed dataset are published in a CDI (Common Data Index). CMEMS-INSTAC and SDN-NODC subsets are integrated with other available sources to make the most comprehensive physical parameter data catalogues available. Thanks to international collaborative relationships to provide data access to – and preview for – coastal data in non-European areas (e.g. NOAA platforms for the US, IAPB platforms for the Arctic area, IMOS for Australia and others), EMODnet Physics catalogues are going beyond European borders to offer an even more exhaustive entry point to global-ocean physical observations.

This dataset provides a World Ocean Atlas of Argo inferred statistics. The primary data are exclusively Argo profiles. The statistics are done using the whole time range covered by the Argo data, starting in July 1997. The atlas is provided with a 0.25° resolution in the horizontal and 63 depths from 0 m to 2,000 m in the vertical. The statistics include means of Conservative Temperature (CT), Absolute Salinity, compensated density, compressiblity factor and vertical isopycnal displacement (VID); standard deviations of CT, VID and the squared Brunt Vaisala frequency; skewness and kurtosis of VID; and Eddy Available Potential Energy (EAPE). The compensated density is the product of the in-situ density times the compressibility factor. It generalizes the virtual density used in Roullet et al. (2014). The compressibility factor is defined so as to remove the dependency with pressure of the in-situ density. The compensated density is used in the computation of the VID and the EAPE.

Data and imagery from the Atlantic basin: - Climate - Cloud Profiling Radars - Air-Sea & Air-Land Fluxes - Wind Profiling Radars - Satellite - Local Weather and Climate PSL archives a wide range of data ranging from gridded climate datasets extending hundreds of years to real-time wind profiler data at a single location. The data or products derived from this data, organized by type, are available to scientists and the general public at the links in the website. The third-party data appearing on this web site may be reformatted from their original form, but not altered as to the informational content contained therein. It is provided as a public service. Further, this data does not reflect an official view or position of NOAA.

The EMODnet Bathymetry portal is operated and further developed by a European partnership. This comprises members of the SeaDataNet consortium together with organisations from marine science, the hydrographic survey community, and industry. The partners combine expertises and experiences of collecting, processing, and managing of bathymetric data together with expertises in distributed data infrastructure development and operation and providing OGC services (WMS, WFS, and WCS) for viewing and distribution. SeaDataNet is a leading infrastructure in Europe for marine & ocean data management, initiated and managed by the National Oceanographic Data Centres (NODC's). It is actively operating and further developing a Pan-European infrastructure for managing, indexing and providing access to ocean and marine data sets and data products, acquired via research cruises and other in-situ observational activities. The basis of SeaDataNet is interconnecting Data Centres into a distributed network of data resources with common standards for metadata, vocabularies, data transport formats, quality control methods and flags, and access. SeaDataNet is aiming for an extensive coverage of available data sets for the various marine environmental disciplines, such as physical oceanography, marine chemistry, biology, biodiversity, geology, geophysics and bathymetry. This is implemented by seeking active cooperation at a national scale with institutes and at a European scale with communities, that are engaged in data management for these disciplines, and by seeking opportunities for including their data centres and data collections in the SeaDataNet metadata and data provision.

World Ocean Atlas 2018 (WOA18) is a set of objectively analyzed (one degree grid and quarter degree grid) climatological fields of in situ temperature, salinity, dissolved oxygen, Apparent Oxygen Utilization (AOU), percent oxygen saturation, phosphate, silicate, and nitrate at standard depth levels for annual, seasonal, and monthly compositing periods for the World Ocean. Quarter degree fields are for temperature and salinity only. It also includes associated statistical fields of observed oceanographic profile data interpolated to standard depth levels on quarter degree, one degree, and five degree grids. Temperature and salinity fields are available for six decades (1955-1964, 1965-1974, 1975-1984, 1985-1994, 1995-2004, and 2005-2017) an average of all decades representing the period 1955-2017, as well as a thirty year "climate normal" period 1981-2010. Oxygen fields (as well as AOU and percent oxygen saturation) are available using all quality controlled data 1960-2017, nutrient fields using all quality controlled data from the entire sampling period 1878-2017. This accession is a product generated by the National Centers for Environmental Information's (NCEI) Ocean Climate Laboratory Team. The analyses are derived from the NCEI World Ocean Database 2018.

Data available in the French Coast

This dataset comprises the global frequency, classification and distribution of marine heat waves (MHWs) from 1996-2020, in Chauhan et al. 2023 (https://doi.org/10.3389/fmars.2023.1177571). The classification was done based on their attributes and using different baselines. Daily SST values were extracted from the NOAA-OISST v2 high-resolution (0.25°) dataset from 1982-2020. MHWs were detected using the method presented by Hobday et al. 2016 (https://doi.org/10.1016/j.pocean.2015.12.014), and by using the 95th percentile of the accumulated temperature distribution to flag the extreme events. A shifting baseline of 8-year rolling period was selected between the years 1982-1996, since this period shows relatively stable maximum values of temperature across different ocean regions. The shifting baseline aims to account for the decadal changes of westerly winds, temperatures and ocean gyres circulations. The classification was done using the KMeans clustering algorithm to identify the relevant features of MHWs and classify them into separate groups based on feature similarities. This algorithm takes MHW features, namely duration, maximum intensity, rate onset and rate decline, as input vectors and applies clustering in the 4-dimensional feature space where each data point represents an MHW event. Note that all the MHWs features are standardized because unequal variances can put more weight on variables with smaller variances. This record comprehends the geospatial datasets of: Average number of MHW days per year (i.e., the sum of all MHW days divided by the total number of years, 1996-2020). Average cumulative intensity per year (i.e., the sum of cumulative intensity divided by the total number of years, 1996-2020). Total number of MHW events across the different periods averaged on the total number of years (1989-2020). The period 1982-1988 was only used as an initial baseline without calculating MHWs. Spatial distribution of three MHW categories: moderate MHWs, abrupt and Intense MHWs and extreme MHWs; displaying the total number of MHW days normalized by the number of years considered (i.e., 1989-2020). Distribution of Extreme MHWs across the different periods (A) 1989-1996, (B) 1997-2004, (C) 2005-2012, (D) 2013-2020. The relative frequency (γ) is a ratio of extreme MHWs in a specific period and all extreme MHWs in the same cluster for all periods.

EMODnet Physics provides a combined array of services and functionalities to obtain free-of-charge data, meta-data and data products on the physical conditions of European sea basins and oceans as recorded by more than 20.000 platforms (fixed stations, surface loads, ARGOs, HF radars, etc.) The system provides full interoperability with third-party software through WMS services, Web Services and Web catalogues in order to exchange data and products according to the most recent standards. EMODnet Physics builds on and is based on the cooperation and collaboration with the three established pillars of the European Oceanographic Community: 1) EuroGOOS and its Regional Operational Oceanographic Systems (ROOSs); 2) Copernicus Marine Environment Monitoring Service (CMEMS) , and in particular with the In Situ Thematic Assembly Center (INSTAC); 3) SeaDataNet network of National Oceanographic Data Centres (NODCs). Data are made available by EMODnet Physics, funded by the European Commission Directorate General for Maritime Affairs and Fisheries, in collaboration with Copernicus Marine Service (CMEMS) and EuroGOOS ROOSs INSTAC. Delayed mode data integrates the best available version of in situ data. These data are collected from national observing systems operated by EuroGOOS ROOS members, SeaDataNet NODCs completed by main global networks