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Salinity of the water column

55 record(s)
 
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  • Glider HCMR

  • SYKE Alg@line project in the Baltic Sea monitors the state of the sea and detects algal blooms. Several millions of data points are collected annually from the Baltic Sea, using a fleet of 5-7 ferries. Two best equipped ferries offered in TNA are m/s Silja Serenade, which travels daily between Helsinki and Stockholm (Sweden) and m/s Finnmaid, which travels approx. twice a week from Helsinki to Travemünde (Germany) and back. Both ferries are equipped with flow-through system with thermosalinograph, chlorohyll, phycocyanin and CDOM fluorometers, turbiditymeter and refrigerated.sampling unit providing discrete water samples for laboratory analyses (e.g. microscopy, flowCAM, nutrients, optical analysis, experimental work). Additional sensors e.g. for primary production (FRRF) and light reflectance are used periodically, new sensors for light absorption and pCO2 will be soon implemented. Data can be retrieved in real time using satellite or GSM connection (basic sensors) or downloaded during harbour visits (additional sensors). Alg@line data is available e.g. through MyOcean and has also been delivered to users based on mutual cooperation, including scientific advice. Algaline ships maintained by SYKE host measurement systems from other countries, and periodically they are used as platforms for international short-term studies.

  • Data access will be provided in near real time and in delayed mode. Parameters include salinity, temperature, chlorophyll fluorescence, turbidity, oxygen, pH, pCO2, wave height and direction, current speed and direction and also in air data on temperature, irradiation and air pressure. Also data from laboratory analyses of water samples are included, e.g. chlorophyll, salinity, CDOM, coloured dissolved organic matter, phytoplankton abundance and biodiversity. Data is distributed through the Baltic Operational Oceanographic System, BOOS and through the Swedish Oceanographic Data Centre at SMHI. Data is accessible through download and through web services. Data and metadata is delivered through SMHI systems for distributing oceanographic data, e.g. http://sharkdata.smhi.se according to EU standards and procedures.

  • SYKE Alg@line project in the Baltic Sea monitors the state of the sea and detects algal blooms. Several millions of data points are collected annually from the Baltic Sea, using a fleet of 5-7 ferries. Two best equipped ferries offered in TNA are m/s Silja Serenade, which travels daily between Helsinki and Stockholm (Sweden) and m/s Finnmaid, which travels approx. twice a week from Helsinki to Travemünde (Germany) and back. Both ferries are equipped with flow-through system with thermosalinograph, chlorohyll, phycocyanin and CDOM fluorometers, turbiditymeter and refrigerated sampling unit providing discrete water samples for laboratory analyses (e.g. microscopy, flowCAM, nutrients, optical analysis, experimental work). Additional sensors e.g. for primary production (FRRF) and light reflectance are used periodically, new sensors for light absorption and pCO2 will be soon implemented. Data can be retrieved in real time using satellite or GSM connection (basic sensors) or downloaded during harbour visits (additional sensors). Alg@line data is available e.g. through MyOcean and has also been delivered to users based on mutual cooperation, including scientific advice. Algaline ships maintained by SYKE host measurement systems from other countries, and periodically they are used as platforms for international short-term studies.

  • ISMAR OS is a system around Italy and is composed by 11 fixed platforms, HF radars, a glider. The installations proposed for TNA embrace different marine environments and can be used independently. SiCO is a twin-mooring system placed is in a key area connecting the Eastern and Western Mediterranean Sea. Equipped with current profilers and CTD probes, it continuously monitor surface and intermediate exchange of water masses and properties between the basins. A pCO2 probe is installed in SiCO1 near the bottom to widen the contribution of the observatory to climate studies and ocean acidification research. The site is part of the CIESM Hydro-Changes Programme.

  • MOLIT is designed for in situ monitoring in large rivers, estuaries and coastal areas. It is used for since many years in the Loire estuary where a two level sampling, surface and 10 m depth, is performed with multiparameter measurements (T, DO, salinity, turbidity, fluorescence). Nevertheless, if needed, the MOLIT hydraulic system can perform sampling at 4 different levels. The whole hydraulic sampling system is protected from bio-fouling by an efficient seawater electrolysis scheme; this bio-fouling protection can be used to protect the tested instruments. The data are available by a wireless communication system or can be stored on board.

  • COSYNA provides near real-time data from integrated observations and model results. The observations comprise a variety of in situ techniques (e.g. FerryBox, Gliders, Cabled Underwater Observatories) as well as remote sensing from shore by radar and from space by satellite. Key physical, sedimentary, geochemical and biological parameters are observed at high temporal resolution in the water column and the upper and lower boundary layers. COSYNA’s modelling part consists of nested models with different grid sizes for hydrography (salinity, waves, currents), for suspended matter and for biogeochemical and ecosystem processes. Sophisticated data assimilation procedures, i.e. continuous corrections of the models by observations, improve the reliability of now-casts and short-term forecasts. All data and plots are generally available for download through the data portal (http://codm.hzg.de/codm/). FerryBox data can be directly accessed via the data portal ferrydata.hzg.de where different vizualizaton tools are available (e.g. single transect, pool data along a certain transect for a longer time period or time-series at certain locations). Furthermore, all datasets can be exported in ASCII (tab separated tables) or NetCDF format and downloaded. COSYNA’s motivation is bridging the gap between operational oceanography and the various users of forecasts of the marine state. For further outreach to stakeholders and the wider community an app has been developed for the most common platforms.

  • FERRY is installed on the coastal steamer MV Vesterålen measuring T, S, Chlorophyll fluorescence and oxygen permanently as well as 30 individual samples are taken on all roundtrips from Bergen-Kirkenes and back. This roundtrip is repeated every 11 days throughout the year.

  • NOMOS is a system designed to allow the real-time assessment of weather and marine conditions in the western part of Black Sea and to support sustainable development of the Bulgarian Black Sea coast and EEZ. It consists of several subsystems. The proposed NOMOS’s installations for TNA are GALATA and POMOS. POMOS is a network of distributed sensors and centralized data collecting, processing and distributing unit. It is designed to allow for the real-time assessment of weather, marine and environmental conditions throughout the major Bulgarian ports, channels and bays. The parameters measured by POMOS are: wind speed and direction, temperature, humidity, atmospheric pressure, visibility, solar radiation, water temperature and salinity, sea level, current speed and direction and wave height.

  • This autonomous platform is deployed at the mouth of the bay of Villefranche-sur-mer, (43°40’54.16”N; 07°19’10.48”E). It is moored over rocky bottom depth of 90 m. As no continental platform is present in this area, this site is under offshore influences, for physical parameters as well as for biological ones. Its equipment comprises: a meteorological station (station Vaisala WXT 520), a winch dedicated to ctd (temperature and salinity at the moment, extension to others sensors in the future) profiles. Core oceanographic parameters (temperature, salinity, fluorescence, dissolved oxygen) are acquired with a SeaBird SBE19 on an hourly basis at a fixed depth (1.5 m). A fixed pH sensor is deployed in a developmental phase of validation.