TSG-QC is a tool for interactive analysis and validation of sea surface temperature and salinity data acquired from a Thermosalinograph (TSG) installed on research or commercial ships. It has been developed under Matlab. It allows: • Visualization of TSG variables: Temperature, salinity and ship speed • Interactive comparison with climatological values (WOA and ISAS) • Automatic quality control using selected threshold criteria • Data validation and adjustment with external measurements (water samples, collocated Argo data, CTD, ...) • Quantitative estimation of sensor drift. The software can deal with different input data formats: ASCII, Labview, Seabird, GOSUD NetCDF... The use of TSG-QC from sources requires a valid Matlab license. A compiled version is available free of charge for users who do not have a Matlab license.

X-TRACK, is a regional altimeter products for coastal applications. It has been developed in order to optimize the completeness and the accuracy of the sea surface height information derived from satellite altimetry in coastal ocean areas. 1hz alongtrack SLA are available in 23 regions for different altimetric missions (Topex, Jason-1&2, Geosat, Ers2, Envisat). SLA is computed on a reference track. X-TRACK SLA files hold alongtrack SLA data together with MSSH, FES2012 tide, Dynamic Atmospheric Corrections and distance to coast parameters. Users can both retrieve filtered and non-filtered data. X-TRACK areas : | short name | long name | | :----------------- | :---------------------------------- | | adelie | Adelie-Mertz | | amazon | Amazon | | asa | Atlantic South America | | chinasea | China Sea | | drake | Drake passage | | eaustralia | East Australia | | gom | Gulf of Mexico - Caribbean Sea | | gulfstream | Gulf Stream | | hudson | Hudson Bay | | humboldt | Humboldt current | | kerguelen | Kerguelen Islands | | labrador | Labrador Sea | | medsea | Mediterranean Sea | | nea | North East Atlantic | | nindian | North Indian Ocean | | norway | Norway | | nwa | North West America | | nwp | North West Pacific | | sea | South and East Africa | | wafrica | West Africa | | waustralia | West Australia | | wla | West Latin America - California | | wtp | West Tropical Pacific |

'''This product has been archived''' '''DEFINITION''' Estimates of Ocean Heat Content (OHC) are obtained from integrated differences of the measured temperature and a climatology along a vertical profile in the ocean (von Schuckmann et al., 2018). The regional OHC values are then averaged from 60°S-60°N aiming i) to obtain the mean OHC as expressed in Joules per meter square (J/m2) to monitor the large-scale variability and change. ii) to monitor the amount of energy in the form of heat stored in the ocean (i.e. the change of OHC in time), expressed in Watt per square meter (W/m2). Ocean heat content is one of the six Global Climate Indicators recommended by the World Meterological Organisation for Sustainable Development Goal 13 implementation (WMO, 2017). '''CONTEXT''' Knowing how much and where heat energy is stored and released in the ocean is essential for understanding the contemporary Earth system state, variability and change, as the ocean shapes our perspectives for the future (von Schuckmann et al., 2020). Variations in OHC can induce changes in ocean stratification, currents, sea ice and ice shelfs (IPCC, 2019; 2021); they set time scales and dominate Earth system adjustments to climate variability and change (Hansen et al., 2011); they are a key player in ocean-atmosphere interactions and sea level change (WCRP, 2018) and they can impact marine ecosystems and human livelihoods (IPCC, 2019). '''CMEMS KEY FINDINGS''' Regional trends for the period 2005-2019 from the Copernicus Marine Service multi-ensemble approach show warming at rates ranging from the global mean average up to more than 8 W/m2 in some specific regions (e.g. northern hemisphere western boundary current regimes). There are specific regions where a negative trend is observed above noise at rates up to about -5 W/m2 such as in the subpolar North Atlantic, or the western tropical Pacific. These areas are characterized by strong year-to-year variability (Dubois et al., 2018; Capotondi et al., 2020). Note: The key findings will be updated annually in November, in line with OMI evolutions. '''DOI (product):''' https://doi.org/10.48670/moi-00236

'''Short description: ''' For the Global Ocean - In-situ observation yearly delivery in delayed mode of Ocean surface currents. '''Detailed description: ''' The In Situ delayed mode product designed for reanalysis purposes integrates the best available version of in situ data for Ocean surface currents. The data are collected from the Surface Drifter Data Assembly Centre (SD-DAC at NOAA AOML) completed by European data provided by EUROGOOS regional systems and national systems by the regional INS TAC components. All surface drifters data have been processed to check for drogue loss. Drogued and undrogued drifting buoy surface ocean currents are provided with a drogue presence flag as well as a wind slippage correction for undrogued buoy. '''Processing information: ''' From the near real time INS TAC product validated on a daily and weekly basis for forecasting purposes, and from the SD-DAC quality controlled dataset a scientifically validated product is created . It s a """"reference product"""" updated on a yearly basis. This product has been processed using a method that checks for drogue loss. Altimeter and wind data have been used to extract the direct wind slippage from the total drifting buoy velocities. The obtained wind slippage values have then been analyzed to identify probable undrogued data among the drifting buoy velocities dataset. A simple procedure has then been applied to produce an updated dataset including a drogue presence flag as well as a wind slippage correction. '''Suitability, Expected type of users / uses: ''' The product is designed to be assimilated into or for validation purposes of operational models operated by ocean forecasting centers for reanalysis purposes or for research community. These users need data aggregated and quality controlled in a reliable and documented manner.

X-TRACK, is a regional altimeter products for coastal applications. It has been developed in order to optimize the completeness and the accuracy of the sea surface height information derived from satellite altimetry in coastal ocean areas. 1hz alongtrack SLA are available in 23 regions for different altimetric missions (Topex, Jason-1&2, Geosat, Ers2, Envisat). SLA is computed on a reference track. X-TRACK SLA files hold alongtrack SLA data together with MSSH, FES2012 tide, Dynamic Atmospheric Corrections and distance to coast parameters. Users can both retrieve filtered and non-filtered data. X-TRACK areas : | short name | long name | |:------------|:---------------------------------| | adelie | Adelie-Mertz | | amazon | Amazon | | asa | Atlantic South America | | chinasea | China Sea | | drake | Drake passage | | eaustralia | East Australia | | gom | Gulf of Mexico - Caribbean Sea | | gulfstream | Gulf Stream | | hudson | Hudson Bay | | humboldt | Humboldt current | | kerguelen | Kerguelen Islands | | labrador | Labrador Sea | | medsea | Mediterranean Sea | | nea | North East Atlantic | | nindian | North Indian Ocean | | norway | Norway | | nwa | North West America | | nwp | North West Pacific | | sea | South and East Africa | | wafrica | West Africa | | waustralia | West Australia | | wla | West Latin America - California | | wtp | West Tropical Pacific |

'''DEFINITION''' The temporal evolution of thermosteric sea level in an ocean layer (here: 0-700m) is obtained from an integration of temperature driven ocean density variations, which are subtracted from a reference climatology (here 1993-2014) to obtain the fluctuations from an average field. The regional thermosteric sea level values from 1993 to close to real time are then averaged from 60°S-60°N aiming to monitor interannual to long term global sea level variations caused by temperature driven ocean volume changes through thermal expansion as expressed in meters (m). '''CONTEXT''' The global mean sea level is reflecting changes in the Earth’s climate system in response to natural and anthropogenic forcing factors such as ocean warming, land ice mass loss and changes in water storage in continental river basins (IPCC, 2019). Thermosteric sea-level variations result from temperature related density changes in sea water associated with volume expansion and contraction (Storto et al., 2018). Global thermosteric sea level rise caused by ocean warming is known as one of the major drivers of contemporary global mean sea level rise (WCRP, 2018). '''CMEMS KEY FINDINGS''' Since the year 1993 the upper (0-700m) near-global (60°S-60°N) thermosteric sea level rises at a rate of 1.5±0.1 mm/year.