X : eXpendable; B : Bathy; T: Thermograph. Thermal profile measurement with real-time transmission

The COriolis Ocean Dataset for Reanalysis (hereafter "CORA") product is a global dataset of in situ temperature and salinity measurements. The CORA observations comes from many different sources collected by Coriolis data centre in collaboration with the In Situ Thematic Centre of the Copernicus Marine Service (CMEMS INSTAC).  The observation integrated in the CORA product have been acquired both by autonomous platforms (Argo profilers, fixed moorings , gliders , drifters, sea mammals) , research or opportunity vessels (CTDs, XBTs, ferrybox).  From the near real time CMEMS In Situ Thematic Centre product validated on a daily and weekly basis for forecasting purposes, a scientifically validated product is created. It s a "reference product" updated on a yearly basis since 2007. This product has been controlled using an objective analysis (statistical tests) method and a visual quality control (QC). This QC procedure has been developed with the main objective to improve the quality of the dataset to the level required by the climate application and the physical ocean re-analysis activities. It provides T and S weekly gridded fields and individual profiles both on their original level with QC flags and interpolated level. The measured parameters, depending on the data source, are : temperature, salinity. The reference level of measurements is immersion (in meters) or pressure (in decibars).  CORA contains historical profiles extracted from the EN.4 global T&S dataset, World Ocean Atlas, SeaDataNet, ICES and other data aggregators . The last version of the CORA product are also available freely from the Copernicus WEB site :   - Global Ocean- CORA- In-situ Observations Yearly Delivery in Delayed Mode - Global Ocean- Delayed Mode gridded CORA- In-situ Observations objective analysis in Delayed Mode  

GOSUD aims at assembling in-situ observations of the world ocean surface collected by a variety of ships and at distributing quality controlled datasets. At present time the variables considered by GOSUD are temperature and salinity. The GOSUD data are mostly collected using thermosalinographs (TSG) installed on research vessels, on commercial ships and in some cases on sailing exploration ships. GOSUD manages both near-real time (RT and NRT) data and delayed mode (DM-reprocessed) data. The GOSUD GDAC is hosted by the Coriolis data centre (France) and a back-up (permanent archived) is performed on a daily basis by NCEIS (NOAA's National Centers for Environmental Information).

The CORIOLIS data center contributes to the “in situ observations” of operational oceanography, in addition to ocean surface measurements performed using equipment installed on satellites. This contribution is accomplished through the creation of permanent and lasting networks from ships or moored or drifting autonomous systems.

The Drifting Buoys GDAC -Global Data Assembly Centre- is the repository of surface drifters data. Both NRT -Near Real Time- and DM -Delayed Mode- data are available on the GDAC. Drifters report generally trajectories, sea-surface temperatures, atmospheric pressures at sea-level, as well as sea-surface salinity or sub-surface temperature in the ocean top layer.

ARVOR-C is a subsurface profiling float designed to operate in coastal environments and to perform oceanographic measurements like a moored installation. Its design has been improved to reduce its drift thanks to a seabed claw and anti-drift claws, an optimized profile speed (~ 25 cm / s) and a short-period data transmission. It is able to process more than 300 profiles and real-time data transmission via Iridium satellite system.

Observation of surface currents by HF radars. This system of HF radars makes it possible to compile, continuously and over long periods, maps of surface marine currents, up to 100km and with a spatial resolution of 3km.

Since 2004, several hundred seals have been equipped with conductivity-temperature-depth (CTD) sensors in the Southern Ocean for both biological and physical oceanographic studies. A calibrated collection of seal-derived hydrographic data is now available from Coriolis, currently consisting of more than 300,000 temperature/salinity profiles. Delayed mode data, December 2014 http://dx.doi.org/10.12770/0a82d60c-683d-47b8-8bd1-24933ec24983 on the Coriolis ftp server, in /ifremer/marine_mammals/. In a near future (summer 2015), seal data will be updated daily, and a monthly snapshot of the full database will be produced. through the Coriolis data selection tool (Sea mammal or Animal profiles).

The Everyone's Gliding Observatories (EGO) initiative is a gathering of several teams of oceanographers, interested in developing the use of gliders for ocean observations. EGO started in Europe with members from France, Germany, Italy, Norway, Spain, and the United Kingdom. The partners of EGO have been funded by both European and national agencies to operate gliders for various purposes and at different sites. Coordinated actions are being set up for these sites in order to demonstrate the capabilities of a fleet of gliders for sampling the ocean, with a given scientific and/or operational objective. Gliders were developed since the 90’s to carry out in-situ observations of the upper 1km of the ocean, filling the gaps left by the existing observing systems. Gliders look like small autonomous robotic underwater vehicles which that uses an engine to change their buoyancy. While gliding from surface to about 1000 meters, gliders provide real-time physical and biogeochemical data along their transit. They observe temperature, salinity, pressure, biogeochemical data or acoustic data.

Monthly mean of Suspended Particulate Matter (2002-2012) using Han (2016) algorithm for coastal areas, at global scale, for MERIS sensor, with POLYMER atmospheric corrections. Ref: Bing Han, Hubert Loisel, Vincent Vantrepotte, Xavier Mériaux, Philippe Bryère,Sylvain Ouillon, David Dessailly, Qianguo Xing and Jianhua Zhu. Development of a Semi-Analytical Algorithm for the Retrieval of Suspended Particulate Matter rom Remote Sensing over Clear to Very Turbid Waters Remote Sens. 8, 211; doi:10.3390/rs8030211 2016