Routine operation over a period shorter than 5 years (Enhanced Observation Period, EOP)

Routine operation over a period shorter than 5 years (Enhanced Observation Period, EOP)

The SIROCCO ocean circulation climate simulations cover the western Mediterranean Sea ( 33°N - 44.5°N / 1.2°W - 16.3°E ) and the periods from 2000 to 2020, from 2030 to 2049, and form 2080 to 2099. It is based on the BlueLion configuration of the Symphonie hydrodynamic model (Marsaleix et al., 2008, 2019). The horizontal resolution of the model bipolar grid (1230 x 1308) varies from 340 m in the northwestern Mediterranean to 4.5 km in the Ionian Sea. The vertical grid has vanishing quasi-sigma 50 levels. This dataset includes daily files of sea surface height, temperature, salinity and current velocities. This simulations were developed in the framework of the ANR POPNCO and the PPR RIOMAR. The initial and open boundary conditions, the atmospheric forcing and the rivers discharge were provided by the CNRM-RCSM6B, regional climate system model (atmosphere, ocean, land surface hydrology) developed at CNRM (Météo-France) over the Mediterranean CORDEX domain (Med-CORDEX). This coupled simulation is based on the NEMO model at 1/12° for the ocean, the Aladin-Climat model at 12 km for the atmosphere and the ISBA-CTRIP land surface hydrology model.

Série de photographies réalisée sur le site de Socoa pour un suivi photogrammétrique. 2 types de photos : de la plateforme depuis la falaise; de la falaise depuis la plateforme;

The SIROCCO ocean circulation simulation covers the western Mediterranean Sea ( 33°N - 44.5°N / 1.2°W - 16.3°E ) and the period from 1990 to 2023. It is based on the BlueLion configuration of the Symphonie hydrodynamic model (Marsaleix et al., 2008, 2019). The horizontal resolution of the model bipolar grid (1230 x 1308) varies from 340 m in the northwestern Mediterranean to 4.5 km in the Ionian Sea. The vertical grid has vanishing quasi-sigma 50 levels. This dataset includes daily files of sea surface height, temperature, salinity and current velocities. This simulation was developed in the framework of the PPR RIOMAR. The initial and open boundary conditions, the atmospheric forcing and the rivers discharge (except from the Gulf of Lion) were provided by the CNRM-RCSM6B, regional climate system model (atmosphere, ocean, land surface hydrology) developed at CNRM (Météo-France) over the Mediterranean CORDEX domain (Med-CORDEX). This coupled simulation is based on the NEMO model at 1/12° for the ocean, the Aladin-Climat model at 12 km for the atmosphere and the ISBA-CTRIP land surface hydrology model. The Gulf of Lion rivers were considered using the hydrology database HydroPortail (http ://www.hydro.eaufrance.fr).

Sea Surface Salinity (SSS) is an essential climate variable that requires long term in situ observation. The French SSS Observation Service (SSS-OS) manages a network of Voluntary Observing Ships equipped with thermosalinographs (TSG) since 2002. The network is global though more concentrated in the tropical Pacific and North Atlantic oceanic basins. The acquisition system is autonomous with real time transmission and is regularly serviced at harbor calls. The high resolution data retrieved from the acquisition system during ship calls is processed through a dedicated software (freely available) for attribution of data quality flags by visual inspection, and correction of TSG time series by comparison with climatology, onboard daily water samples and collocated Argo data. Details can be found in the reference below. The validated delayed time data collected from TSG, together with some bucket samples mostly collected before 2002, are made available for educational and research purposes through an interactive web interface.

The binned Sea Surface Salinity, Temperature and Density data set covers regularly sampled ship-of-opportunity lines. It is based on data collected from 1993 to 2018 from Voluntary Observing Ships subsequently validated. This monthly product is binned with monthly total values deviations and then deviations from climatology in each bin, with additional 1-2-1 time filter applied on the averages. Along B-AX01, some gaps were filled with additional data located one degree north or south of the grid boxes.

The annually binned Sea Surface Salinity, Temperature and Density data set covers a large part of the North Atlantic subpolar gyre. It is based on T and S near-surface data collected since December 1895 to August 2018 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents deviations from a climatological seasonal cycle and has furthermore been smoothed in time with a 1/4, 1/2, 1/4 running-mean filter. Density time series are estimated from those annual time series, considering winter (D-J-F) climatology. Uncertainty estimates due to sampling are also provided. Data for December 2017-August 2018 are also reported as 2018, but are temporary and should not be used without further check. Long gaps have been filled by linear interpolation, and are attributed largest error.

The annually binned Sea Surface Salinity data set covers a large part of the Atlantic Ocean (75°W-10°E, 20°S-70°N). It is based on salinity near-surface data collected since December 1895 to 2016 from all data sources, including Voluntary Observing Ships subsequently validated. This annual product presents Atlantic SSS 32 grid box anomaly and error time-series (for boxes 1 to 26, year 2016 not smoothed 1-2-1), as well as Atlantic SSS grid box coordinates and March-May mean climatology. The SSS binned time series are an update from the 1896-2013 time series (Friedman et al., 2017).

The gridded Sea Surface Salinity (SSS) data set covers the region between 95°W – 20°E and 50°N – 30°S in the Atlantic Ocean. It is based on available data collected from 1970 to 2016 mostly from Voluntary Observing Ships, PIRATA moorings and Argo profilers, and subsequently validated. This monthly SSS product is gridded using an objective mapping at the spatial resolution 1° x 1°. It is distributed with its associated error fields. It is an update of the SSS product presented in Reverdin et al (2007).